Great Start , nice setup.. Now maintain this build , and add two More pages. 1. Ai training and management, 2. The DeepCAL, a Powerful Freight Analyser (Logistics Calculator), that has shipping components and allows users to add and analyze more freight forwarder , it uses the engine the algorim to run it - Follow Up Deployment

index.html

@@ -528,6 +528,158 @@
         <div class="container mx-auto px-4">
             <div class="grid grid-cols-1 md:grid-cols-4 gap-8">
                 <div>
+                    <h3 class="text-lg font-bold mb-4">DeepCAL</h3>
+                    <p class="text-gray-400">Optimizing emergency logistics through AI-driven intelligence and resilient decision-making.</p>
+                </div>
+                <div>
+                    <h3 class="text-lg font-semibold mb-4">Systems</h3>
+                    <ul class="space-y-2">
+                        <li><a href="#" class="text-gray-400 hover:text-white">Decision Engine</a></li>
+                        <li><a href="#" class="text-gray-400 hover:text-white">AI Prediction</a></li>
+                        <li><a href="#" class="text-gray-400 hover:text-white">Resource Tracking</a></li>
+                        <li><a href="#" class="text-gray-400 hover:text-white">Risk Assessment</a></li>
+                    </ul>
+                </div>
+                <div>
+                    <h3 class="text-lg font-semibold mb-4">Resources</h3>
+                    <ul class="space-y-2">
+                        <li><a href="#" class="text-gray-400 hover:text-white">Documentation</a></li>
+                        <li><a href="#" class="text-gray-400 hover:text-white">API Reference</a></li>
+                        <li><a href="#" class="text-gray-400 hover:text-white">Status Dashboard</a></li>
+                        <li><a href="#" class="text-gray-400 hover:text-white">Support Center</a></li>
+                    </ul>
+                </div>
+                <div>
+                    <h3 class="text-lg font-semibold mb-4">Emergency Contact</h3>
+                    <div class="flex items-center text-gray-400 mb-2">
+                        <i class="fas fa-phone mr-2"></i>
+                        <span>+254 700 123 456</span>
+                    </div>
+                    <div class="flex items-center text-gray-400 mb-2">
+                        <i class="fas fa-envelope mr-2"></i>
+                        <span>[email protected]</span>
+                    </div>
+                    <div class="flex space-x-4 mt-4">
+                        <a href="#" class="text-gray-400 hover:text-white"><i class="fab fa-twitter"></i></a>
+                        <a href="#" class="text-gray-400 hover:text-white"><i class="fab fa-linkedin"></i></a>
+                        <a href="#" class="text-gray-400 hover:text-white"><i class="fab fa-github"></i></a>
+                    </div>
+                </div>
+            </div>
+            <div class="border-t border-gray-700 mt-8 pt-6 text-center text-gray-500 text-sm">
+                &copy; 2023 DeepCAL Emergency Response System. All rights reserved.
+            </div>
+        </div>
+    </footer>
 
+    <script>
+        // Initialize the map
+        document.addEventListener('DOMContentLoaded', function() {
+            // Setup map
+            const map = L.map('map').setView([0, 25], 3);
+            
+            L.tileLayer('https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png', {
+                attribution: '&copy; <a href="https://www.openstreetmap.org/copyright">OpenStreetMap</a> contributors'
+            }).addTo(map);
+            
+            // Nairobi coordinates
+            const nairobi = L.latLng(1.2404475, 36.990054);
+            
+            // Destination coordinates
+            const destinations = [
+                {name: "Zimbabwe", coords: [-17.80269125, 31.08848075]},
+                {name: "Zambia", coords: [15.4136414, 28.3174378]},
+                {name: "Madagascar", coords: [-14.71204234, 47.50866443]},
+                {name: "Comoros", coords: [11.7209701, 43.2413774]},
+                {name: "South Sudan", coords: [7.86237248, 29.69490516]}
+            ];
+            
+            // Add marker for Nairobi
+            const nairobiMarker = L.marker(nairobi).addTo(map)
+                .bindPopup('Nairobi Hub<br>Kenya')
+                .openPopup();
+            
+            // Add markers for destinations and create lines
+            destinations.forEach(dest => {
+                const marker = L.marker(dest.coords).addTo(map)
+                    .bindPopup(`${dest.name}`);
+                
+                // Create a polyline from Nairobi to destination
+                const line = L.polyline([nairobi, dest.coords], {
+                    color: '#3b82f6',
+                    dashArray: '10',
+                    opacity: 0.7
+                }).addTo(map);
+            });
+            
+            // Resource distribution chart
+            const resourceCtx = document.getElementById('resourceChart').getContext('2d');
+            new Chart(resourceCtx, {
+                type: 'doughnut',
+                data: {
+                    labels: ['Emergency Kits', 'Pharmaceuticals', 'Lab Supplies', 'PPE', 'Field Support'],
+                    datasets: [{
+                        data: [35, 25, 20, 15, 5],
+                        backgroundColor: [
+                            'rgba(59, 130, 246, 0.8)',
+                            'rgba(16, 185, 129, 0.8)',
+                            'rgba(139, 92, 246, 0.8)',
+                            'rgba(245, 158, 11, 0.8)',
+                            'rgba(239, 68, 68, 0.8)'
+                        ],
+                        borderColor: [
+                            'rgba(59, 130, 246, 1)',
+                            'rgba(16, 185, 129, 1)',
+                            'rgba(139, 92, 246, 1)',
+                            'rgba(245, 158, 11, 1)',
+                            'rgba(239, 68, 68, 1)'
+                        ],
+                        borderWidth: 1
+                    }]
+                },
+                options: {
+                    responsive: true,
+                    plugins: {
+                        legend: {
+                            position: 'bottom'
+                        }
+                    }
+                }
+            });
+            
+            // Regional response time chart
+            const regionCtx = document.getElementById('regionChart').getContext('2d');
+            new Chart(regionCtx, {
+                type: 'bar',
+                data: {
+                    labels: ['East Africa', 'Southern Africa', 'West Africa', 'Central Africa', 'Indian Ocean'],
+                    datasets: [{
+                        label: 'Avg. Delivery Days',
+                        data: [4.2, 8.5, 12.8, 10.3, 7.2],
+                        backgroundColor: 'rgba(59, 130, 246, 0.8)',
+                        borderColor: 'rgba(59, 130, 246, 1)',
+                        borderWidth: 1
+                    }]
+                },
+                options: {
+                    responsive: true,
+                    plugins: {
+                        legend: {
+                            display: false
+                        }
+                    },
+                    scales: {
+                        y: {
+                            beginAtZero: true,
+                            title: {
+                                display: true,
+                                text: 'Days'
+                            }
+                        }
+                    }
+                }
+            });
+        });
+    </script>
 <p style="border-radius: 8px; text-align: center; font-size: 12px; color: #fff; margin-top: 16px;position: fixed; left: 8px; bottom: 8px; z-index: 10; background: rgba(0, 0, 0, 0.8); padding: 4px 8px;">Made with <img src="https://enzostvs-deepsite.hf.space/logo.svg" alt="DeepSite Logo" style="width: 16px; height: 16px; vertical-align: middle;display:inline-block;margin-right:3px;filter:brightness(0) invert(1);"><a href="https://enzostvs-deepsite.hf.space" style="color: #fff;text-decoration: underline;" target="_blank" >DeepSite</a> - 🧬 <a href="https://enzostvs-deepsite.hf.space?remix=MoShow/uyi" style="color: #fff;text-decoration: underline;" target="_blank" >Remix</a></p></body>
 </html>

prompts.txt

@@ -1 +1,3 @@
-      Develop a powerful talking and symbolically strong, the best ever seen. The In-App base data, see here: date_of_greenlight_to_pickup	date_of_collection	request_reference	cargo_description	item_category	origin_country	origin_latitude	origin_longitude	destination_country	destination_latitude	destination_longitude	carrier	freight_carrier+cost	kuehne_nagel	scan_global_logistics	dhl_express	dhl_global	bwosi	agl	siginon	frieght_in_time	weight_kg	volume_cbm	initial_quote_awarded	final_quote_awarded_freight_forwader_Carrier	comments	date_of_arrival_destination	delivery_status	mode_of_shipment 	11-Jan-24	SR_24-001_NBO hub_Zimbabwe	Cholera kits and Tents	Emergency Health Kits	Kenya	36.990054	1.2404475	Zimbabwe	31.08848075	-17.80269125	Kenya Airways	18,681	18,681	0	0	0	0	0	0	0	7,352.98	24.68	Kuehne Nagel	Kenya Airways	Kenya Airways via Kuehne Nagel	17-Jan-24	Delivered	Air 	11-Jan-24	SR_24-002_NBO hub_Zambia_(SR_23-144)	Cholera kitsORSBody bagsMasks and Glucometers	Emergency Health Kits	Kenya	36.990054	1.2404475	Zambia	28.3174378	15.4136414	Kenya Airways	35,000	59,500	0	0	0	0	0	0	29,972	14,397.00	50.88	Kuehne Nagel	Kenya Airways	Kenya Airways via Kuehne Nagel	01-Dec-24	Delivered	Air 	02-Feb-24	SR_24-004_NBO hub_Zambia	Tents GlovesPPEs and Drugs 	Field Support Material	Kenya	36.990054	1.2404475	Zambia	28.3174378	15.4136414	Kenya Airways	56,800	0	0	0	0	0	0	0	0	10,168.00	59.02	KQ:Direct charter	KQ:Direct charter	KQ:Direct charter	02-Jun-24	Delivered	Air 	02-Feb-24	SR_24-005A_NBO hub_Zimbabwe	Cholera kits TentsBody bags and Gowns	Emergency Health Kits	Kenya	36.990054	1.2404475	Zimbabwe	31.08848075	-17.80269125	Other Agents	0	0	0	0	0	0	0	0	0	9,087.24	44.97	KQ:Direct charter	KQ:Direct charter	KQ:Direct charter	02-Jun-24	Delivered	Air 	02-Feb-24	SR_24-005_NBO hub_Zimbabwe	Cholera kits TentsBody bags and Gowns	Emergency Health Kits	Kenya	36.990054	1.2404475	Zimbabwe	31.08848075	-17.80269125	Other Agents	0	0	0	0	0	0	0	0	0	30	0.25	KQ:Direct charter	KQ:Direct charter	KQ:Direct charter	02-Jun-24	Delivered	Air 	03-Feb-24	 SR_24-005B_NBO hub_Zimbabwe	Cholera kits and Tents	Emergency Health Kits	Kenya	36.990054	1.2404475	Zimbabwe	31.08848075	-17.80269125	Kenya Airways	9,115	0	0	0	0	0	0	0	8,694	3,506.00	12.17	Kuehne Nagel	Kenya Airways	Kenya Airways via Kuehne Nagel	02-May-24	Delivered	Air 	08-Feb-24	SR_24-008_NBO hub_Madagascar	Laboratory Items	Lab & Diagnostics	Kenya	36.990054	1.2404475	Madagascar	47.50866443	-14.71204234	Kenya Airways	466	466	1,029	0	0	0	0	0	574	179.33	2.71	Kuehne Nagel	Kenya Airways	Kenya Airways via Kuehne Nagel	02-Sept-24	Delivered	Air 	15-Feb-24	 SR_24-011_NBO hub_Comoros	Laboratory itemsKit Cholera and Sprayers	Lab & Diagnostics	Kenya	36.990054	1.2404475	Comoros	43.2413774	11.7209701	Kenya Airways	3,480.00	679	781	0	0	0	0	0	521	1,289.00	5.93	 Freight in Time	Kenya Airways	Kenya Airways via Freight in Time	16-Feb-24	Delivered	Air 	19-Feb-24	SR_24-012_NBO hub_South Sudan	KIT MAJOR TRAUMA backpack	Wellbeing	Kenya	36.990054	1.2404475	South Sudan	29.69490516	7.86237248	Kenya Airways	308	248	668	0	0	0	0	0	261	126	0.57	Kuehne Nagel	Kenya Airways	Kenya Airways	20-Feb-24	Delivered	Air 	23-Feb-24	SR_24-016_NBO hub_Mayotte	Cholera RDTs	Lab & Diagnostics	Kenya	36.990054	1.2404475	Mayotte	45.1557827	-12.80654985	Other Agents	0	323	511	0	0	0	0	0	527	16.9	0.17	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	27-Feb-24	Delivered	Air 	28-Feb-24	SR_24-017_NBI hub_Mauritius	Mosquito Nets Repellant and Masks	Field Support Material	Kenya	36.990054	1.2404475	Mauritius	59.0191111	15.42579385	Other Agents	0	0	0	0	0	0	0	0	10,867	3,377.04	12.73	Freight In Time	Freight In Time	Freight In Time	03-Jan-24	Delivered	Air 	11-Mar-24	SR_24-014_NBO hub_Ethiopia	(IEHK 2017 SUPPLEMENTARY) MODULE MALARIA	Emergency Health Kits	Kenya	36.990054	1.2404475	Ethiopia	38.7675998	9.0146129	Other Agents	0	14,853	15,098	0	0	0	0	0	12,148	3,365.00	17.35	Freight In Time	Freight In Time	Freight In Time	16-Mar-24	Delivered	Air 	12-Mar-24	SR_24-020_NBO hub_Congo Brazzaville	RDT Covid 19 Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Congo Brazzaville	15.26485068	4.2809844	Other Agents	0	573	586	0	0	0	0	0	633	178	0.23	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	16-Mar-24	Delivered	Air 	06-Mar-24	SR_24-018_NBO hub_Malawi	TMDs	Cold Chain Equipment	Kenya	36.990054	1.2404475	Malawi	33.7929271	-13.9622973	Other Agents	0	0	0	50	0	0	0	0	0	0.04	0	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	03-Nov-24	Delivered	Air 	16-Mar-24	SR_24-024_NBO hub_Burundi	IEHK Kits and Tents	Emergency Health Kits	Kenya	36.990054	1.2404475	Burundi	29.3731839	-3.3806734	Other Agents	0	0	4,828	0	0	0	0	0	3,616	1,561.75	6.61	Freight In Time	Freight In Time	Freight In Time	23-Mar-24	Delivered	Air 	15-Mar-24	SR_24-021_NBO hub_Mauritius	Mosquito Repellant and Masks	Field Support Material	Kenya	36.990054	1.2404475	Mauritius	59.0191111	15.42579385	Kenya Airways	6,349.20	7,512	0	0	0	0	0	0	10,867	2,886.00	7.64	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	17-Mar-24	Delivered	Air 	20-Mar-24	SR_24-025_NBO hub_Senegal Hub	TMDs & Radio Motorola	Cold Chain Equipment	Kenya	36.990054	1.2404475	Senegal	-17.51361271	14.74267265	Other Agents	0	0	0	0	0	0	0	0	1,257	17.92	0.09	Freight In Time	Freight In Time	Freight In Time	22-Mar-24	Delivered	Air 	17-Apr-24	SR_24-030_NBO hub_Congo Kinshasa	RDT COVID-19 Kits 	Lab & Diagnostics	Kenya	36.990054	1.2404475	Congo Kinshasa	27.4727998	11.6564198	Other Agents	0	1,452	2,324	0	0	0	0	0	2,004	388	2.93	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	19-Apr-24	Delivered	Air 	22-Apr-24	SR_24-031_NBO hub_Zimbabwe	Boots Cholera kitsBody bags and Sprayers	PPE	Kenya	36.990054	1.2404475	Zimbabwe	31.08848075	-17.80269125	Kenya Airways	4,397.84	6,395	6,775	0	0	0	0	0	5,615	1,448.73	10.2	Freight In Time	Freight In Time	Freight In Time	26-Apr-24	Delivered	Air 	23-Apr-24	SR_24-027_NBO hub_Zambia	Cholera kits IEHK Kits and Tents	Emergency Health Kits	Kenya	36.990054	1.2404475	Zambia	28.3174378	15.4136414	Kenya Airways	27,307.00	30,803	27,965	0	0	0	0	0	33,498	10,113.91	40.67	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	05-Mar-24	Delivered	Air 	06-May-24	SR_24-029_NBO hub_Madagascar	IEHK KitsKit PED-SAMCholera kits and Tents	Emergency Health Kits	Kenya	36.990054	1.2404475	Madagascar	47.50866443	-14.71204234	Kenya Airways	46,250.00	50,943	41,185	0	0	0	0	0	74,431	14,250.50	54.18	Scan Global	Scan Global	Scan Global	14-May-24	Delivered	Air 	02-May-24	SR_24-035_NBO hub_Comoros 	Cholera kitsORSTentsKIT TRAUMA (IFAK) and Visibility Items	Emergency Health Kits	Kenya	36.990054	1.2404475	Comoros	43.2413774	11.7209701	Kenya Airways	32,116.00	0	0	0	0	0	0	0	25,770	9,618.95	46.33	Freight In Time	Freight In Time	Freight In Time	05-Aug-24	Delivered	Air 	14-May-24	SR_24-033_NBO hub_Burundi	Tents	Field Support Material	Kenya	36.990054	1.2404475	Burundi	29.3731839	-3.3806734	Other Agents	0	3,948	5,496	0	0	0	0	0	4,933	1,856.00	13.1	Freight In Time	Freight In Time	Freight In Time	30-May-24	Delivered	Air 	28-May-24	SR_24-038_NBO hub_Guinea Conakry	Kits and PPEs	Emergency Health Kits	Kenya	36.990054	1.2404475	Guinea	13.683989	8.40829457	Other Agents	0	2,383	9,588	3,887	0	0	0	0	2,238	341	1.33	Freight In Time	Freight In Time	Freight In Time	31-May-24	Delivered	Air 	04-Jun-24	SR_24-043_NBO hub_Benin	RDT Covid-19 Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Benin	9.30733826	2.30941937	Other Agents	0	518	0	540	0	0	0	0	0	33	0.22	DHL Express	DHL Express	DHL Express	06-Oct-24	Delivered	Air 	14-Jun-24	SR_24-041_NBO hub_Zimbabwe	Kit Cholera Hardware and Tents	Emergency Health Kits	Kenya	36.990054	1.2404475	Zimbabwe	31.08848075	-17.80269125	Other Agents	0	8,505	7,445	0	0	0	12,570	0	9,742	6,640.00	31.51	AGL	AGL	AGL	25-Jul-24	Delivered	Sea 	02-Jul-24	SR_24-047_NBO hub_Burundi	Tents	Field Support Material	Kenya	36.990054	1.2404475	Burundi	29.3731839	-3.3806734	Other Agents	0	5,478	4,411	0	0	0	4,246	0	4,117	1,604.00	6.68	Freight In Time	Freight In Time	Freight In Time	07-Oct-24	Delivered	Air 	08-Jul-24	SR_24-049_NBO hub_Zimbabwe	ORSINFUSION SET AND MEDICINES	Pharmarceuticals	Kenya	36.990054	1.2404475	Zimbabwe	31.08848075	-17.80269125	Other Agents	0	10,446	10,285	0	0	0	0	0	9,233	3,417.00	8.69	Freight In Time	Freight In Time	Freight In Time	15-Jul-24	Delivered	Air 	05-Jul-24	SR_24-050_NBO hub_Chad	RDT Covid 19 Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Chad	14.984082	12.128668	Other Agents	0	0	3,703	4,739	0	0	0	0	3,815	412	2.64	Scan Global	Scan Global	Scan Global		Delivered	Air 	18-Jul-24	SR_24-059_NBI hub_GUINEA BISSAU	RDT Covid 19 Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Guinea Bissau	15.5843227	11.8632196	Other Agents	0	0	0	942	0	0	0	0	0	88	0.58	DHL Express	DHL Express	DHL Express	30-Jul-24	Delivered	Air 	22-Jul-24	SR_24-060_NBO hub_Chad	TESK KITS	Emergency Health Kits	Kenya	36.990054	1.2404475	Chad	14.984082	12.128668	Other Agents	0	0	0	0	0	0	0	0	11,706	2,663.75	9.61	Freight In Time	Freight In Time	Freight In Time	25-Jul-24	Delivered	Air 	23-Jul-24	SR_24-053_NBO hub_Chad	Kit cholera laboratory	Lab & Diagnostics	Kenya	36.990054	1.2404475	Chad	14.984082	12.128668	Other Agents	0	750	744	0	0	0	0	0	0	35.27	0.3	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	27-Jul-24	Delivered	Air 	23-Jul-24	SR_24-054_NBO hub_Togo	TESK KIT	Emergency Health Kits	Kenya	36.990054	1.2404475	Togo	8.61028306	0.83263997	Other Agents	0	0	0	1,775	0	0	0	0	0	13	0.13	DHL Express	DHL Express	DHL Express	31-Jul-24	Delivered	Air 	24-Jul-24	SR_24-051_NBO hub_Madagascar	IEHKTESK Kits and assorted Items	Emergency Health Kits	Kenya	36.990054	1.2404475	Madagascar	47.50866443	-14.71204234	Kenya Airways	3,131	4,470	0	0	0	0	0	3,575	1230	7.47		Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	08-Mar-24	Delivered	Air 	06-Aug-24	SR_24-061_NBO hub_DR Congo	Cold chain Items and Goggles	Emergency Health Kits	Kenya	36.990054	1.2404475	DR Congo	15.2726097	4.3161726	Other Agents	0	3,425	3,990	0	0	0	0	0	4,438	267.24	6.01	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	08-Aug-24	Delivered	Air 	09-Aug-24	SR_24-048_NBO hub_Ethiopia	Cholera kitsORS and Ringer Lactate	Emergency Health Kits	Kenya	36.990054	1.2404475	Ethiopia	38.7675998	9.0146129	Other Agents	0	98,758	140,909	0	0	0	0	0	105,531	48,092.00	134.06	Freight In Time	Freight In Time	Freight In Time	15-Aug-24	Delivered	Air 	22-Aug-24	SR_24-065_NBO hub_Cote d'lvoire	PPEs	PPE	Kenya	36.990054	1.2404475	Cote d'lvoire	5.3835193	3.9929962	Other Agents	0	762	0	0	0	0	0	0	897	32	0.27	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	24-Aug-24	Delivered	Air 	22-Aug-24	SR_24-064_NBO hub_Central Africa Republic	PPEs	PPE	Kenya	36.990054	1.2404475	Central Africa Republic	18.5773703	4.3720473	Other Agents	0	8,345	7,997	0	0	0	0	0	0	1,666.00	6.41	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	27-Sept-24	Delivered	Air 	02-Sept-24	SR_24-068_NBO hub_Comoros	Cholera Laboratory and Investigation kits	Emergency Health Kits	Kenya	36.990054	1.2404475	Comoros	43.2413774	11.7209701	Other Agents	0	966	0	0	0	0	0	0	1,227	56.22	0.46	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	09-Jul-24	Delivered	Air 	05-Sept-24	SR_24-070_NBO hub_Togo	OXYGEN ANALYSER 	Biomedical Equipments	Kenya	36.990054	1.2404475	Togo	8.61028306	0.83263997	Other Agents	0	563	0	0	0	0	0	0	682	8.66	0.07	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	16-Sept-24	Delivered	Air 	05-Sept-24	SR_24-072_NBO hub_Burundi	FREEZER	Cold Chain Equipment	Kenya	36.990054	1.2404475	Burundi	29.3731839	-3.3806734	Other Agents	0	0	2,723	0	0	0	0	0	2,028	664	1.82	Freight In Time	Freight In Time	Freight In Time	13-Sept-24	Delivered	Air 	05-Sept-24	SR_24-071_NBO hub_DR Congo	ORSRinger lactate and PPEs	Pharmarceuticals	Kenya	36.990054	1.2404475	DR Congo	15.2726097	4.3161726	Other Agents	0	65,393	0	0	0	0	0	0	62,010	14,500.00	75	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	09-Jul-24	Delivered	Air 	16-Sept-24	SR_24-074_NBO hub_Sudan	Cholera Laboratory and RDT kits	Emergency Health Kits	Kenya	36.990054	1.2404475	Sudan	30.25399485	15.69090937	Other Agents	0	0	0	0	0	0	0	0	0	33.9	0.22	UNHAS 	UNHAS 	UNHAS 	19-Sept-24	Delivered	Air 	24-Sept-24	SR_24-081_NBO hub_Burundi	MPOX supplies 	Emergency Health Kits	Kenya	36.990054	1.2404475	Burundi	29.3731839	-3.3806734	Other Agents	0	0	0	0	0	0	0	0	0	29	0.28	Mary Nzemya	Mary Nzemya	Hand carried	25-Sept-24	Delivered	Air 	30-Sept-24	SR_24-088_NBO hub_Rwanda	PPEs	PPE	Kenya	36.990054	1.2404475	Rwanda 	29.88043595	-1.94365675	Other Agents	0	2,139	0	0	0	0	0	0	3,300	664	7.53	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	10-Jan-24	Delivered	Air 	03-Oct-24	SR_24-086_NBO hub_Comoros	Tents and Cholera kits	Field Support Material	Kenya	36.990054	1.2404475	Comoros	43.2413774	11.7209701	Other Agents	0	29,032	26,627	0	0	0	0	0	26,107	10,202.00	44.13	Freight in time	Freight in time	Freight in time	10-Dec-24	Delivered	Air 	02-Oct-24	SR_24-089_NBO hub_Uganda	Vests	Visibility	Kenya	36.990054	1.2404475	Uganda	32.3032312	1.36815764	Other Agents	0	0	0	59	0	0	0	0	0	2.4	0	DHL Express	DHL Express	DHL Express	10-Mar-24	Delivered	Air 	03-Oct-24	SR_24-082_NBO hub_Burundi	Ringer lactate ORS and PPEs	Pharmarceuticals	Kenya	36.990054	1.2404475	Burundi	29.3731839	-3.3806734	Other Agents	0	1,720	2,951	4,377	0	0	0	0	2,494	722.34	3.28	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	10-May-24	Delivered	Air 	07-Oct-24	SR_24-093_NBO hub_Rwanda	PPEs and Antifog	PPE	Kenya	36.990054	1.2404475	Rwanda	29.88043595	-1.94365675	Other Agents	0	26,518	0	0	0	0	0	0	22,794	7,445.00	45.65	Freight In time	Freight In time	Freight In time	10-Oct-24	Delivered	Air 	07-Oct-24	SR_24-094_NBO hub_Rwanda	Thermometers Piccolo and Glove Box	Biomedical Equipments	Kenya	36.990054	1.2404475	Rwanda	29.88043595	-1.94365675	Other Agents	0	0	0	0	0	0	0	0	0	180	1.52	Freight In time	Freight In time	Freight In time	10-Oct-24	Delivered	Air 	10-May-24	SR_24-095_NBO hub_Rwanda	Marburg	Emergency Health Kits	Kenya	36.990054	1.2404475	Rwanda	29.88043595	-1.94365675	Other Agents	0	1,240	0	0	0	0	0	0	1,576	369	1.72	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	16-Oct-24	Delivered	Air 	14-Oct-24	SR_24-097_NBO hub_Burundi	Tents	Field Support Material	Kenya	36.990054	1.2404475	Burundi	29.3731839	-3.3806734	Other Agents	0	2,297	0	0	0	0	0	0	2,541	1,051.00	4.33	Freight In Time	Freight In Time	Freight In Time	26-Oct-24	Delivered	Air 	14-Oct-24	SR_24-098_NBO hub_Rwanda	Viral RNA kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Rwanda	29.88043595	-1.94365675	Other Agents	0	0	0	286	0	0	0	0	811	22.54	0.21	Freight in Time	Freight in Time	Freight in Time	24-Oct-24	Delivered	Air 	16-Oct-24	SR_24-099_NBO hub_Burundi	Fuel Dispenser	Field Support Material	Kenya	36.990054	1.2404475	Burundi	29.3731839	-3.3806734	Other Agents	0	1,177	0	0	0	0	0	0	1,619	283	0.99	Freight In Time	Freight In Time	Freight In Time	11-Jan-24	Delivered	Air 	18-Oct-24	SR_24-100_NBO hub_Uganda	DEFIBRILLATORS	Biomedical Equipments	Kenya	36.990054	1.2404475	Uganda	32.3032312	1.36815764	Other Agents	0	354	0	822	0	0	0	0	654	51.18	0.46	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	24-Oct-24	Delivered	Air 	22-Oct-24	SR_24-101_NBO Hub_Rwanda	Mpox supplies 	Emergency Health Kits	Kenya	36.990054	1.2404475	Rwanda	29.88043595	-1.94365675	Other Agents	0	454	0	0	0	0	0	0	0	57.16	0.32	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	26-Oct-24	Delivered	Air 	22-Oct-24	SR_24-102_NBO hub_Uganda	Mpox supplies 	Emergency Health Kits	Kenya	36.990054	1.2404475	Uganda	32.3032312	1.36815764	Other Agents	0	403	0	0	0	0	0	0	0	57.16	0.32	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	26-Oct-24	Delivered	Air 	22-Oct-24	SR_24-103_NBO Hub_Burundi	Mpox supplies 	Emergency Health Kits	Kenya	36.990054	1.2404475	Burundi	29.3731839	-3.3806734	Other Agents	0	395	0	0	0	0	0	0	0	52.9	0.3	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	26-Oct-24	Delivered	Air 	23-Oct-24	SR_24-104_NBO hub_Malawi	Mpox supplies 	Emergency Health Kits	Kenya	36.990054	1.2404475	Malawi	33.7929271	-13.9622973	Other Agents	0	373	0	0	0	0	0	0	0	20.62	0.14	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	26-Oct-24	Delivered	Air 	23-Oct-24	SR_24-105_NBO hub_Rwanda	Vests	Visibility	Kenya	36.990054	1.2404475	Rwanda	29.88043595	-1.94365675	Other Agents	0	340	0	0	0	0	0	0	583	27	0.14	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	29-Oct-24	Delivered	Air 	23-Oct-24	SR_24-106_NBO hub_Rwanda	Feezer Aucma	Cold Chain Equipment	Kenya	36.990054	1.2404475	Rwanda	29.88043595	-1.94365675	Other Agents	0	729	971	0	0	0	0	0	865	92	1.01	Freight in Time	Freight in Time	Freight in Time	11-Feb-24	Delivered	Air 	23-Oct-24	SR_24-109_NBO hub_Comoros	Mpox supplies	Emergency Health Kits	Kenya	36.990054	1.2404475	Comoros	43.2413774	11.7209701	Other Agents	0	356	0	0	0	0	0	0	0	10.92	0.08	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	11-Jul-24	Delivered	Air 	31-Oct-24	SR_24-110_NBO hub_Madagascar	Mpox supplies	Emergency Health Kits	Kenya	36.990054	1.2404475	Madagascar	47.50866443	-14.71204234	Other Agents	0	396	0	0	0	0	0	0	0	20.62	0.14	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	11-Jun-24	Delivered	Air 	11-Jan-24	SR_24-112_NBO hub_Benin	Mpox supplies	Emergency Health Kits	Kenya	36.990054	1.2404475	Benin	9.30733826	2.30941937	Other Agents	0	492	0	0	0	0	0	0	0	19.36	3.21	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	11-Oct-24	Delivered	Air 	11-May-24	SR_24-115_NBO hub_Ghana	Mpox supplies	Emergency Health Kits	Kenya	36.990054	1.2404475	Ghana	5.6128722	0.1871217	Other Agents	0	541	0	0	0	0	0	0	0	48	0.4	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	13-Nov-24	Delivered	Air 	11-May-24	SR_24-114_NBO hub_DR Congo	Glove examination	PPE	Kenya	36.990054	1.2404475	DR Congo	15.2726097	4.3161726	Other Agents	0	4,328	0	0	0	0	0	0	0	899.84	4.1	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	11-Oct-24	Delivered	Air 	11-Nov-24	SR_24-116_NBO hub_Rwanda	Extraction kits 	Lab & Diagnostics	Kenya	36.990054	1.2404475	Rwanda	29.88043595	-1.94365675	Other Agents	0	458	395	0	0	0	0	0	633	14.89	0.21	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	11-Dec-24	Delivered	Air 	18-Nov-24	SR_24-117_NBO hub_DR Congo	Mpox	Emergency Health Kits	Kenya	36.990054	1.2404475	DR Congo	15.2726097	4.3161726	Other Agents	0	429	0	0	0	0	0	0	0	6.03	0.03	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	19-Nov-24	Delivered	Air 	18-Nov-24	SR_24-120_NBO hub_ Rwanda	Ringers Lactate	Pharmarceuticals	Kenya	36.990054	1.2404475	Rwanda	29.88043595	-1.94365675	Other Agents	0	6,589	5,592	0	0	0	0	0	6,318	2,330.00	5.65	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	19-Nov-24	Delivered	Air 	14-Nov-24	SR_24-119_NBO Hub_Nigeria	Cold Chain Equipment	Emergency Health Kits	Kenya	36.990054	1.2404475	Nigeria	9.0357943	7.4647231	Other Agents	0	0	0	455	0	0	0	0	0	10	0.1	DHL Express	DHL Express	DHL Express	25-Nov-24	Delivered	Air 	26-Nov-24	SR_24-092_NBO hub_Ethiopia 	CholeraIEHKPEDSAM and TESK kits	Emergency Health Kits	Kenya	36.990054	1.2404475	Ethiopia	38.7675998	9.0146129	Other Agents	0	25,898	27,461	0	0	0	0	0	0	10,209.00	28.8	Scan Global	Scan Global	Scan Global	12-Mar-24	Delivered	Air 	18-Nov-24	SR_24-123_NBO hub_DR Congo	IEHK Kits	Emergency Health Kits	Kenya	36.990054	1.2404475	DR Congo	15.2726097	4.3161726	Other Agents	0	6,253	7,478	0	0	0	0	0	6,787	1,865.00	10.16	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	22-Nov-24	Delivered	Air 	19-Nov-24	SR_24-134_NBO hub_Uganda	Mpox Kits	Emergency Health Kits	Kenya	36.990054	1.2404475	Uganda	32.3032312	1.36815764	Other Agents	0	336	0	0	0	0	0	0	0	12	0.1	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	22-Nov-24	Delivered	Air 	22-Nov-24	SR_24-135_NBO hub_Eritrea	Cholera RDT	Lab & Diagnostics	Kenya	36.990054	1.2404475	Eritrea	39.83225616	15.18756436	Other Agents	0	0	0	0	0	0	0	0	0			Mr.Ali	Mr.Ali	Hand Carried		Delivered	Air 	27-Nov-24	SR_24-136_NBO hub_Burundi	Ampilicilin	Pharmarceuticals	Kenya	36.990054	1.2404475	Burundi	29.3731839	-3.3806734	Other Agents	0	0	0	167	0	0	0	0	0	12	0.02	DHL Express	DHL Express	DHL Express	29-Nov-24	Delivered	Air 	28-Nov-24	SR_24-137_NBO hub_Malawi	TESK Kits	Emergency Health Kits	Kenya	36.990054	1.2404475	Malawi	33.7929271	-13.9622973	Other Agents	0	13,670	13,050	0	0	0	0	8,250	0	8,646.00	35.6	Siginon Logistics	Siginon Logistics	Siginon Logistics	31-Dec-24	Delivered	Road 	03-Dec-24	SR_24-144_NBO hub_Madagascar	Kits and Wash items	WASH/IPC	Kenya	36.990054	1.2404475	Madagascar	47.50866443	-14.71204234	Other Agents	0	13,560	11,104	0	0	0	0	0	0	4,754.00	22.5	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	29-Dec-24	Delivered	Air 	03-Dec-24	SR_24-146_NBO hub_Zimbabwe	Mpox supplies	Emergency Health Kits	Kenya	36.990054	1.2404475	Zimbabwe	31.08848075	-17.80269125	Other Agents	0	367	0	0	0	0	0	0	0	18.42	0.2	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	12-Nov-24	Delivered	Air 	13-Dec-24	SR_24-118A_NBO hub_South Sudan	Cholera Investigation and Bed	Emergency Health Kits	Kenya	36.990054	1.2404475	South Sudan	29.69490516	7.86237248	Other Agents	0	4,401	3,911	0	0	0	0	0	4,689	2,864.50	10.6	Scan Global	Scan Global	Scan Global	19-Dec-24	Delivered	Road 	17-Dec-24	SR_24-150_NBO hub_Zambia	Cholera Lab Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Zambia	28.3174378	15.4136414	Other Agents	0	412	723	0	0	0	0	0	0	41.32	0.45	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	08-Jan-25	Delivered	Air 	17-Dec-24	SR_24-151_NBO hub_Comoros	Cholera and Dengue RDTs	Lab & Diagnostics	Kenya	36.990054	1.2404475	Comoros	43.2413774	11.7209701	Other Agents	0	678	877	0	0	0	0	0	0	149.22	0.54	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	24-Dec-24	Delivered	Air 	17-Dec-24	SR_24-126_NBO hub_Eswatini	ISOTHERMAL BOX	Cold Chain Equipment	Kenya	36.990054	1.2404475	Eswatini	31.46277335	26.517661	Other Agents	0	5,930	0	0	0	0	0	0	4,019	316	5.85	Freight in Time	Freight in Time	Freight in Time	27-Dec-24	Delivered	Air 	20-Dec-24	SR_24-153_NBO hub_Burundi	Dextrose	Pharmarceuticals	Kenya	36.990054	1.2404475	Burundi	29.3731839	-3.3806734	Other Agents	0	1,218	0	0	0	0	0	0	0	533	2.09	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	31-Dec-24	Delivered	Air 	31-Dec-24	SR_24-154_NBO hub_Malawi	Mpox supplies and freezer	Emergency Health Kits	Kenya	36.990054	1.2404475	Malawi	33.7929271	-13.9622973	Other Agents	0	1,517	0	0	0	0	0	0	0	369	1.89	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	14-Jan-25	Delivered	Air 	13-Dec-24	SR_24-118B_NBO hub_South Sudan	Cholera Kits and Tents	Emergency Health Kits	Kenya	36.990054	1.2404475	South Sudan	29.69490516	7.86237248	Other Agents	0	0	0	0	0	0	0	0	8,600	11,097.00	49.93	Freight in Time	Freight in Time	Freight in Time	12-Jan-25	Delivered	Road 	19-Nov-24	SR_24-133_NBO hub_South_Sudan	Filovirus Kits	Emergency Health Kits	Kenya	36.990054	1.2404475	South Sudan	29.69490516	7.86237248	Other Agents	0	366	0	0	0	0	0	0	895	10.36	0.04	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	15-Jan-25	Delivered	Air 	17-Jan-25	SR_25-008_NBO hub_DR Congo	PPEs	PPE	Kenya	36.990054	1.2404475	DR Congo	15.2726097	4.3161726	Other Agents	0	7,360	0	0	0	0	0	0	9,656	2,203.00	16.04	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	10-Mar-25	Delivered	Air 	22-Jan-25	SR_25-010_ NBO hub_Tanzania	VHF Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Tanzania	39.2968217	6.8122141	Other Agents	0	2,783	0	0	0	0	0	0	0	1,444.00	16.5	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	07-Feb-25	Delivered	Air 	24-Jan-25	SR_25-013_ NBO hub_Tanzania	Lab PPEs	Lab & Diagnostics	Kenya	36.990054	1.2404475	Tanzania	39.2968217	6.8122141	Other Agents	0	1,099	0	0	0	0	0	0	0	486	2.5	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	28-Jan-25	Delivered	Air 	01-Jun-25	SR_25-001_NBO hub_Ethiopia	Malaria Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Ethiopia	38.7675998	9.0146129	Other Agents	0	678	877	0	0	0	0	0	0	805	7.7	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	31-Jan-25	Delivered	Air 	24-Jan-25	SR_25-014_NBO hub_Tanzania	VHF Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Tanzania	39.2968217	6.8122141	Other Agents	0	1,588	0	0	0	0	0	0	0	758	3.33	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	29-Jan-25	Delivered	Air 	01-Feb-25	SR_25-019_NBO hub_Uganda 	EVD Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Uganda	32.3032312	1.36815764	Other Agents	0	2,204	0	0	0	0	0	2,204	0	1,422.96	16.48	Siginon Logistics	Siginon Logistics	Siginon Logistics	02-Mar-25	Delivered	Air 	01-Feb-25	SR_25-020_NBO hub_Uganda	EVD Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Uganda	32.3032312	1.36815764	Other Agents	0	2,204	0	0	0	0	0	2,204	0	1,472.26	16.97	Siginon Logistics	Siginon Logistics	Siginon Logistics	04-Mar-25	Delivered	Air 	01-Feb-25	SR_25-021_NBO hub_Uganda	EVD Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Uganda	32.3032312	1.36815764	Other Agents	0	2,204	0	0	0	0	0	2,204	0	1,436.58	16.58	Siginon Logistics	Siginon Logistics	Siginon Logistics	05-Feb-25	Delivered	Air 	01-Feb-25	SR_25-022_NBO hub_Uganda	EVD Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Uganda	32.3032312	1.36815764	Other Agents	0	2,204	0	0	0	0	0	2,204	0	1,411.78	16.57	Siginon Logistics	Siginon Logistics	Siginon Logistics	06-Feb-25	Delivered	Air 	01-Feb-25	SR_25-023_NBO hub_Uganda	EVD Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Uganda	32.3032312	1.36815764	Other Agents	0	2,204	0	0	0	0	0	2,204	0	1,411.78	16.57	Siginon Logistics	Siginon Logistics	Siginon Logistics	06-Feb-25	Delivered	Air 	30-Jan-25	SR_25-018_NBO hub_Sierra Leone	PPEs and pharmaceuticals	PPE	Kenya	36.990054	1.2404475	Sierra Leone	-11.83748596	8.42228531	Other Agents	0	7,350	0	0	0	0	0	0	7,936	1,965.54	9.81	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	18-Feb-25	Delivered	Air 	30-Jan-25	SR_25-017_NBO hub_DR Congo	PPEs	PPE	Kenya	36.990054	1.2404475	DR Congo	15.2726097	4.3161726	Other Agents	0	8,552	0	0	0	0	0	0	10,648	2,566.08	17.67	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	14-Feb-25	Delivered	Air 	24-Jan-25	SR_25-015_NBO hub_Sao Tome	PPEs	PPE	Kenya	36.990054	1.2404475	Sao Tome	6.84570896	0.24103452	Other Agents	0	0	0	307	0	0	0	0	0	11.72	0.12	DHl Express	DHl Express	DHl Express	25-Feb-25	Delivered	Air 	10-Jan-25	SR_25-026_NBO hub_Uganda	Biosafety cabinets 	Lab & Diagnostics	Kenya	36.990054	1.2404475	Uganda	32.3032312	1.36815764	Other Agents	0	590	0	0	0	0	0	0	964	191.28	1.29	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	11-Feb-25	Delivered	Air 	10-Feb-25	SR_25-025_NBO hub_Eritrea	Lab supplies	Lab & Diagnostics	Kenya	36.990054	1.2404475	Eritrea	39.83225616	15.18756436	Other Agents	0	0	0	0	0	0	0	0	0	21.76	0.21	Nonso	Nonso	Hand carried	13-Feb-25	Delivered	Air 	05-Feb-25	SR_25-024_NBO hub_DR Congo	TESKIEHK Kits and TENTS ?ÿ PPES	Emergency Health Kits	Kenya	36.990054	1.2404475	DR Congo	15.2726097	4.3161726	Other Agents	0	8,400	0	0	0	0	0	10,000	0	12,700.00	63.68	Siginon Logistics	Siginon Logistics	Siginon based on contractual history and performance	26-Feb-25	Delivered	Road 	24-Feb-25	SR_25-032_NBO hub_Sao Tome	Remel swabs	Lab & Diagnostics	Kenya	36.990054	1.2404475	Sao Tome	6.84570896	0.24103452	Other Agents	0	0	0	270	0	0	0	0	0	20	0.23	DHL Express	DHL Express	DHL Express	12-Mar-25	Delivered	Air 	24-Feb-25	SR_25-031_NBO hub_Guinea	Remel swabs	Lab & Diagnostics	Kenya	36.990054	1.2404475	Guinea	13.683989	8.40829457	Other Agents	0	0	0	270	0	0	0	0	0	20	0.23	DHL Express	DHL Express	DHL Express	06-Mar-25	Delivered	Air 	24-Feb-25	SR_25-033_NBO hub_DR Congo	PPEs and Lab Supplies 	PPE	Kenya	36.990054	1.2404475	DR Congo	15.2726097	4.3161726	Other Agents	0	798	0	0	0	0	0	0	990	192.7	0.94	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	06-Mar-25	Delivered	Air .DeepCAL  Documentation & Implementation Blueprint   Version: 1.0 Date: 30 March 2025      Developed by Mostar Industries  ________________________________________ Table of Contents 1.	Introduction & Overview 2.	PHASE 1: Data-First Protocol o	2.1 The “No Data, No Feature” Lockdown o	2.2 DeepCAL Input Layer (Strict Boot Order) o	2.3 Versioned Intake & Data Lineage 3.	PHASE 2: Core Algorithm & Engine Implementation o	3.1 Data Architecture & Preprocessing o	3.2 Analytics Engine o	3.3 Decision Engine (Grey / Neutrosophic AHP-TOPSIS) o	3.4 Feedback Loop & Continuous Learning o	3.5 Training + Inference Model (CNN/RNN/Transformer) 4.	PHASE 3: UI & Frontend Integration o	4.1 Algorithm-First, Then Visualization o	4.2 Suggested Next.js + Services Architecture o	4.3 DeepCAL Startup Prompt o	4.4 DeepTalk Conversational AI Layer 5.	Offline-First & Edge Constraints 6.	Live Tracking Integration 7.	System Architecture (Consolidated) 8.	Scientific Rigor & Publishability 9.	DeepCAL Data Dictionary 10.	Implementation Artifacts •	10.1 Python “deepcal_core.py” (Neutrosophic/Grey AHP-TOPSIS) •	10.2 SQL Schema for Supabase •	10.3 Example Supabase Edge Function •	10.4 Sample Data Refresh & Caching Strategy •	10.5 Error Handling & Fallbacks 11.	Conclusion    ________________________________________ 1. Introduction & Overview DeepCAL is an Intelligent Emergency Logistics Decision-Support System that optimizes humanitarian supply chains under uncertainty. It merges: •	Data-First Protocol ensuring all features, charts, and decisions are locked behind verified data. •	Analytics Engine generating key performance indicators (cost, transit time, disruption risk) from a shared data store. •	Decision Engine employing a Grey or Neutrosophic AHP-TOPSIS approach to handle uncertain, partial, or fuzzy judgments in multi-criteria decision-making. •	Conversational AI Layer (DeepTalk) that allows non-technical staff to query the system. •	Offline-First architecture for low-bandwidth or remote deployment scenarios. •	Feedback Loop for continuous learning, adjusting risk scores, route reliability, and forwarder performance with each shipment. DeepCAL ensures scientific rigor via a separation of concerns: 1.	Data: Must be validated and versioned (no data, no feature). 2.	Core Engine: The system’s algorithmic “brain” is implemented before hooking up any UI. 3.	UI & Visualization: Strictly a reflection layer, connecting only once the engine is stable and tested.   ________________________________________ 2. Deep 1: Data-First Protocol 2.1 The “No Data, No Feature” Lockdown “Nothing Moves Without the Core.” All features—charts, APIs, decisions—remain locked until the base dataset is loaded, validated, and version-tagged. Concretely: ts CopyEdit if (!BaseDataStore.hasSyncedFrom('deeptrack_2.csv')) {     throw new Error("Base algorithmic data not loaded – system locked."); } Why? Because in emergency logistics, data completeness is crucial. We cannot produce half-baked analyses. This ensures: •	No computation is performed on partial or unverified datasets. •	Every chart or recommendation traces back to a validated input file or record. 2.2 DeepCAL Input Layer (Strict Boot Order) 1.	Load deeptrack_2.csv (base logistic data file). 2.	Validate the shape, columns, missing values, data types. 3.	Initialize the global/base state (e.g., Redux, Zustand, or server memory store). 4.	Boot the analytics + decision engine only after data is confirmed valid. Versioned Intake: json CopyEdit {   "version": "v1.0.0-deepbase",   "hash": "sha256-XYZ",   "source": "deeptrack_2.csv" } Every transformed dataset references the original hash & version, ensuring lineage. 2.3 Versioned Intake & Data Lineage All data passes through a versioning pipeline: •	Each CSV or JSON upload is hashed with sha256. •	The system logs an entry with (version, hash, source). •	Any derived dataset inherits that lineage, ensuring traceability for compliance and audits.   ________________________________________ 3. Deep 2: Core Algorithm & Engine Implementation Implement the entire decision-support algorithm from scratch, ensuring we have a credible, auditable logic core. The UI is not permitted to do heavy-lift or decision logic. 3.1 Data Architecture & Preprocessing Data Flow: 1.	Intake CSV or ERP feed → 2.	Validation (units, missing fields, outliers) → 3.	Normalization (e.g., unify weight to kg, volume to cbm, cost to USD) → 4.	Computation (transit durations, distance calculations, disruptions). Supabase or a local DB (Postgres) stores: •	shipments table: id, origin, destination, weight_kg, volume_cbm, cost, forwarder, etc. •	forwarders table: forwarder metadata, performance stats. •	routes table: route-level metrics (distance, average delay, risk factor). •	criteria_weights: storing AHP or Grey/Neutrosophic weight sets, etc. 3.2 Analytics Engine Aggregates raw data into KPIs: •	Average Transit Time per route/forwarder. •	Cost metrics (cost per kg, cost per route). •	Reliability Index (on-time performance). •	Disruption/Risk (frequency of delays, cancellations). Dynamic Truck Selection: •	A simple heuristic picks the smallest truck type that can handle the cargo’s weight & volume. •	If new data arrives (e.g., an updated volumetric weight), it recalculates in real-time. 3.3 Decision Engine (Grey / Neutrosophic AHP-TOPSIS) Multi-Criteria Decision-Making in uncertain, real-world humanitarian ops: •	Triangular Neutrosophic (or Grey) AHP to derive criterion weights under partial or uncertain judgments. •	TOPSIS to rank alternatives (routes, carriers, or resource allocations) with those weights. 3.3.1 AHP with Neutrosophic or Grey Ratings •	Each pairwise comparison might be expressed as a range or a fuzzy triple (T, I, F) or (Lower, Mid, Upper). •	Crispify or use a “score function” e.g. Score( T, I, F ) = T – F, or a Grey range approach if minimal info is known. 3.3.2 TOPSIS Ranking 1.	Construct a decision matrix of alternatives × criteria. 2.	Normalize & weight by the AHP-derived vector. 3.	Identify ideal and anti-ideal solutions. 4.	Compute distances & closeness: Ci=Di−Di++Di−. C_i = \frac{D_i^-}{D_i^+ + D_i^-}.Ci=Di++Di−Di−.  5.	Rank by CiC_iCi descending. 3.4 Feedback Loop & Continuous Learning After each shipment: •	Compare actual vs. predicted performance. •	Update route/forwarder reliability (if consistent underperformance, reliability is downgraded). •	Adjust TNN or Grey intervals for cost/time. •	Log “overrides” or new ground truth. This ensures the system self-improves as data accumulates. 3.5 Training + Inference Model (CNN/RNN/Transformer) (Optional advanced layer.) DeepCAL can incorporate a machine-learning model for forecasting disruptions or cost overruns: •	CNN or RNN for time-series data (historical shipments). •	Transformer for sequences with many features. Outputs: •	Route-time disruption probability •	Confidence of plan success •	Risk of cost overrun All plugged in after the core MCDM is stable. ________________________________________ 4. PHASE 3: UI & Frontend Integration 4.1 Algorithm-First, Then Visualization UI is a “reflection layer”: •	All decisions must already be computed by the engine. •	No on-the-fly logic in the React (or any) front-end. •	The UI calls something like getRankedAlternatives() or a RESTful endpoint returning the pre-processed results. 4.2 Suggested Next.js + Services Architecture bash CopyEdit /pages   /dashboard.tsx       => Visualizes data from the engine   /ranking.tsx         => Displays plan scores, closeness coefficients   /analytics.tsx       => Summaries, charts from analytics  /services   /deepcalEngine.ts     => Core AHP + TOPSIS + learning logic   /dataIntake.ts        => CSV loader & validator   /modelTrainer.ts      => CNN/RNN training   /context/global.ts    => Live context store  /components   /DossierCard.tsx      => Detailed forwarder profile   /ResilienceChart.tsx  => Visualization of route disruption over time 4.3 DeepCAL Startup Prompt “Build a supply chain resilience engine strictly rooted in deeptrack_2.csv and the Neutrosophic/Grey AHP-TOPSIS methodology from the doc. Do not allow any UI, predictive, or decision modules unless they derive from validated data + model. Start with data, build the engine, then expose an API for visualization. UI is reflection only.” 4.4 DeepTalk Conversational AI Layer A chat-based interface: •	Intent classification (e.g., “fastest route,” “compare forwarders,” “explain ranking”). •	Response generation that references actual data (transit times, risk scores). •	Personality: “smart, tactical, blunt-honest,” or as configured. •	Nudges user for clarifications if data is ambiguous. ________________________________________ 5. Offline-First & Edge Constraints Many humanitarian field sites have low connectivity. DeepCAL is designed so that: •	In-App base data or offline storage is used; no persistent internet needed. •	On-device AI & logic (no external calls for the core). •	Minimal external APIs for optional weather or traffic data. •	Graceful degradation if real-time feeds are unavailable (it uses historical data or best guess). •	Data sync or triggers happen asynchronously when a connection is available. ________________________________________ 6. Live Tracking Integration RFID/GPS or even SMS-based tracking: •	Each location or checkpoint scan updates the DB. •	If an anomaly (e.g., stuck in transit for 12 extra hours) occurs, the analytics engine raises risk. •	The decision engine can either alert or auto-suggest re-routing if feasible. Workflow: 1.	Truck departs warehouse, triggers status = Departed. 2.	Mid-route RFID scans log timestamps → if behind schedule, reliability for that route dips. 3.	On arrival, system calculates actual transit time → updates route stats, forwarder performance. ________________________________________ 7. System Architecture (Consolidated) In-App Data → Firebase DB → Map → Analytics → AHP-TOPSIS → DeepTalk (UI or Chat) Key Modules: •	In-App base data (json, csv) •	Map (Shipment tracking, live tracking, geotagging, geolocation, geographical area) •	Analytics (KPI calculations, historical stats). •	Decision (Neutrosophic/Grey AHP + TOPSIS + truck assignment). •	Conversational (DeepTalk AI). Modules operate in a feedback loop: 1.	New shipments → analytics updates metrics → decision engine recalculates best route → user sees updated recommendation. 2.	After actual performance arrives, learning adjusts the next decisions. ________________________________________ 8. Scientific Rigor & Publishability DeepCAL stands on well-known MCDM expansions: •	Analytic Hierarchy Process (AHP) from Saaty. •	Grey or Neutrosophic logic for partial/inconsistent data. •	TOPSIS from Hwang & Yoon. We maintain consistency checks (Saaty’s CR < 0.1) for the pairwise matrix. Every numeric formula is documented & reproducible: •	Crispification of TNN or Grey intervals. •	Weighted normalization in TOPSIS. •	Distances to ideal solutions. Hence, each recommendation is traceable, replicable, and can be published in an academic setting. The system logs both input data and final scoring, facilitating audit or peer review.   ________________________________________ 9. DeepCAL Data Dictionary A quick reference for key fields used in the system: Field	Data Type	Description shipment_id	Text	Unique ID for each shipment (e.g., “SR_24-001_NBO_Zimbabwe”) – Primary Key date_of_collection	Date	Date cargo is picked from origin hub date_of_arrival_destination	Date	Actual or expected arrival date at destination origin_country	Text	Country/hub of origin (e.g., “Kenya”) destination_country	Text	Country/hub of destination (e.g., “Zimbabwe”) weight_kg	Numeric	Weight in kilograms volume_cbm	Numeric	Volume in cubic meters mode_of_shipment	Text	Mode (Air, Sea, Road, Rail, etc.) cost	Numeric	Overall cost or quote for the shipment forwarder	Text	Assigned freight forwarder or carrier risk_level	Text	Categorical risk (“Low,” “Med,” “High”) computed or updated by the engine final_quote_awarded	Text	Which forwarder ended up with the final contract delivery_status	Text	E.g., “Delivered,” “In Transit,” “Delayed” disruption_score	Numeric	A numeric estimate of route disruption probability criteria_weights	JSON	AHP or Grey/Neutrosophic weighting sets for cost, time, risk, reliability forwarders (table)	-	Holds each forwarder’s ID, name, average cost, reliability index, on-time rate, etc. routes (table)	-	Route-level data (distance, typical cost, typical time, historical incident rates) tracking_events (table)	-	Timestamps & statuses for real-time location tracking, used for risk adjustment    ________________________________________ 10. Implementation Artifacts 10.1 Python “deepcal_core.py” (Neutrosophic/Grey AHP-TOPSIS) [Full Code—Excerpt below; see earlier consolidated reference or the “Methodology” doc section for the entire listing.] python CopyEdit import numpy as np  class TNN:     def __init__(self, T, I, F):         self.T = float(T)         self.I = float(I)         self.F = float(F)     def score(self):         return self.T - self.F  # Simple: S(N) = T - F # Build pairwise matrix from judgments, etc. # ... # Then do TOPSIS with normalizations, distances, closeness.  Key Steps: 1.	Build pairwise matrix from TNN or Grey ranges. 2.	Crispify & compute weights (AHP). 3.	Construct the decision matrix from route/forwarder data. 4.	Normalize, weight, find ideal solutions (TOPSIS). 5.	Calculate closeness & rank.    10.2 SQL Schema for Firebase sql CopyEdit -- shipments table CREATE TABLE shipments (   id SERIAL PRIMARY KEY,   shipment_id TEXT UNIQUE NOT NULL,   date_of_collection DATE NOT NULL,   date_of_arrival_destination DATE,   origin_country TEXT NOT NULL,   destination_country TEXT NOT NULL,   weight_kg NUMERIC,   volume_cbm NUMERIC,   mode_of_shipment TEXT,   cost NUMERIC,   forwarder TEXT,   risk_level TEXT,   final_quote_awarded TEXT,   delivery_status TEXT,   disruption_score NUMERIC,   created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW() );   -- forwarders table CREATE TABLE forwarders (   id UUID PRIMARY KEY,   name TEXT NOT NULL,   avg_cost_per_kg NUMERIC,   avg_transit_days NUMERIC,   on_time_rate NUMERIC,   performance_score NUMERIC,   preferred BOOLEAN,   created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW() );  -- routes table CREATE TABLE routes (   id SERIAL PRIMARY KEY,   origin TEXT NOT NULL,   destination TEXT NOT NULL,   distance_km NUMERIC,   typical_transit_days NUMERIC,   disruption_probability NUMERIC,   forwarder_id UUID REFERENCES forwarders(id),   created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW() );  -- tracking_events table CREATE TABLE tracking_events (   id SERIAL PRIMARY KEY,   shipment_id TEXT REFERENCES shipments(shipment_id),   event_time TIMESTAMP WITH TIME ZONE NOT NULL,   location TEXT,   status TEXT,   raw_data JSONB,   created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW() );    10.3 Example Firebase Edge Function js CopyEdit import { serve } from "https://deno.land/[email protected]/http/server.ts"; import { createClient } from "https://esm.sh/@supabase/supabase-js@2";  const supabaseUrl = Deno.env.get("SUPABASE_URL"); const supabaseAnonKey = Deno.env.get("SUPABASE_ANON_KEY"); const supabase = createClient(supabaseUrl, supabaseAnonKey);  serve(async (req) => {   try {     const { shipment_id } = await req.json();     if (!shipment_id) {       return new Response(JSON.stringify({ error: "Missing shipment_id" }), { status: 400 });     }      // Minimal example: fetch shipment, forwarder, run a simplified decision     const { data: shipment, error } = await supabase       .from('shipments')       .select('*')       .eq('shipment_id', shipment_id)       .single();     if (error || !shipment) throw new Error("Shipment not found");      // Suppose we just pick the best forwarder by cost     const { data: forwardersData } = await supabase       .from('forwarders')       .select('*');          // (In real usage, run the entire AHP-TOPSIS flow.)     // For demonstration, return the forwarder with min avg_cost_per_kg     const best = forwardersData.reduce((prev, curr) =>       (prev.avg_cost_per_kg < curr.avg_cost_per_kg) ? prev : curr     );      return new Response(JSON.stringify({       recommended_forwarder: best.name,       reason: "Lowest average cost"     }), { status: 200 });   } catch (err) {     return new Response(JSON.stringify({ error: err.message }), { status: 500 });   } });  10.4 Sample Data Refresh & Caching Strategy •	Static reference data (location coords, forwarder baseline) → refreshed daily. •	Dynamic pricing or risk → refreshed every 4 hours. •	Real-time tracking → updated event-driven or every 15 minutes. •	Cache in memory with TTL, e.g., 240 minutes for forwarder quotes. •	Invalidate or forcibly re-fetch if a user triggers a “sync” or we detect updated CSV source. 10.5 Error Handling & Fallbacks •	Missing fields → 'No Quote' or large penalty in the model. •	Inconsistent numeric data → auto-correct or user alert. •	Default for cost if route not found → No Quote. •	Default transit times if unlisted route → based on typical mode multipliers.   ________________________________________ 11. Conclusion By strictly enforcing data validity (“No Data, No Feature”), building a robust multi-criteria engine (Grey/Neutrosophic AHP-TOPSIS), and layering a UI that purely reflects the verified model outputs, DeepCAL ensures: •	Explainable Decisions (traceable to each row of data and each step of the algorithm). •	Reproducibility (same input yields the same route/forwarder ranking). •	Scientific Validity (publishable methodology, references to established MCDM expansions). •	Resilience Under Audit (perfect for NGOs, field ops, or government compliance). •	Plug-and-Play Intelligence (UI can be replaced or updated; the engine remains consistent). This single consolidated documentation merges all previous references—Data Architecture, Methodology (Neutrosophic AHP-TOPSIS), Implementation Blueprint—plus the new phased approach. It forms a comprehensive, end-to-end blueprint for DeepCAL deployment and usage. Next Steps? •	Implement local or Firebase DB following the provided schema. •	Extend the Phase 2 engine with advanced ML if required. •	Build minimal front-end dashboards that merely call getRankedAlternatives() or “DeepCAL_Engine” APIs. •	Deploy offline-first to field offices with large local caches.    DeepCAL has been carefully and meticulously crafted by Mostar Industries and stands ready to revolutionize emergency logistics decisions with rigor, transparency, and real-time adaptability—always starting from a rock-solid data core. 
+      Develop a powerful talking and symbolically strong, the best ever seen. The In-App base data, see here: date_of_greenlight_to_pickup	date_of_collection	request_reference	cargo_description	item_category	origin_country	origin_latitude	origin_longitude	destination_country	destination_latitude	destination_longitude	carrier	freight_carrier+cost	kuehne_nagel	scan_global_logistics	dhl_express	dhl_global	bwosi	agl	siginon	frieght_in_time	weight_kg	volume_cbm	initial_quote_awarded	final_quote_awarded_freight_forwader_Carrier	comments	date_of_arrival_destination	delivery_status	mode_of_shipment 	11-Jan-24	SR_24-001_NBO hub_Zimbabwe	Cholera kits and Tents	Emergency Health Kits	Kenya	36.990054	1.2404475	Zimbabwe	31.08848075	-17.80269125	Kenya Airways	18,681	18,681	0	0	0	0	0	0	0	7,352.98	24.68	Kuehne Nagel	Kenya Airways	Kenya Airways via Kuehne Nagel	17-Jan-24	Delivered	Air 	11-Jan-24	SR_24-002_NBO hub_Zambia_(SR_23-144)	Cholera kitsORSBody bagsMasks and Glucometers	Emergency Health Kits	Kenya	36.990054	1.2404475	Zambia	28.3174378	15.4136414	Kenya Airways	35,000	59,500	0	0	0	0	0	0	29,972	14,397.00	50.88	Kuehne Nagel	Kenya Airways	Kenya Airways via Kuehne Nagel	01-Dec-24	Delivered	Air 	02-Feb-24	SR_24-004_NBO hub_Zambia	Tents GlovesPPEs and Drugs 	Field Support Material	Kenya	36.990054	1.2404475	Zambia	28.3174378	15.4136414	Kenya Airways	56,800	0	0	0	0	0	0	0	0	10,168.00	59.02	KQ:Direct charter	KQ:Direct charter	KQ:Direct charter	02-Jun-24	Delivered	Air 	02-Feb-24	SR_24-005A_NBO hub_Zimbabwe	Cholera kits TentsBody bags and Gowns	Emergency Health Kits	Kenya	36.990054	1.2404475	Zimbabwe	31.08848075	-17.80269125	Other Agents	0	0	0	0	0	0	0	0	0	9,087.24	44.97	KQ:Direct charter	KQ:Direct charter	KQ:Direct charter	02-Jun-24	Delivered	Air 	02-Feb-24	SR_24-005_NBO hub_Zimbabwe	Cholera kits TentsBody bags and Gowns	Emergency Health Kits	Kenya	36.990054	1.2404475	Zimbabwe	31.08848075	-17.80269125	Other Agents	0	0	0	0	0	0	0	0	0	30	0.25	KQ:Direct charter	KQ:Direct charter	KQ:Direct charter	02-Jun-24	Delivered	Air 	03-Feb-24	 SR_24-005B_NBO hub_Zimbabwe	Cholera kits and Tents	Emergency Health Kits	Kenya	36.990054	1.2404475	Zimbabwe	31.08848075	-17.80269125	Kenya Airways	9,115	0	0	0	0	0	0	0	8,694	3,506.00	12.17	Kuehne Nagel	Kenya Airways	Kenya Airways via Kuehne Nagel	02-May-24	Delivered	Air 	08-Feb-24	SR_24-008_NBO hub_Madagascar	Laboratory Items	Lab & Diagnostics	Kenya	36.990054	1.2404475	Madagascar	47.50866443	-14.71204234	Kenya Airways	466	466	1,029	0	0	0	0	0	574	179.33	2.71	Kuehne Nagel	Kenya Airways	Kenya Airways via Kuehne Nagel	02-Sept-24	Delivered	Air 	15-Feb-24	 SR_24-011_NBO hub_Comoros	Laboratory itemsKit Cholera and Sprayers	Lab & Diagnostics	Kenya	36.990054	1.2404475	Comoros	43.2413774	11.7209701	Kenya Airways	3,480.00	679	781	0	0	0	0	0	521	1,289.00	5.93	 Freight in Time	Kenya Airways	Kenya Airways via Freight in Time	16-Feb-24	Delivered	Air 	19-Feb-24	SR_24-012_NBO hub_South Sudan	KIT MAJOR TRAUMA backpack	Wellbeing	Kenya	36.990054	1.2404475	South Sudan	29.69490516	7.86237248	Kenya Airways	308	248	668	0	0	0	0	0	261	126	0.57	Kuehne Nagel	Kenya Airways	Kenya Airways	20-Feb-24	Delivered	Air 	23-Feb-24	SR_24-016_NBO hub_Mayotte	Cholera RDTs	Lab & Diagnostics	Kenya	36.990054	1.2404475	Mayotte	45.1557827	-12.80654985	Other Agents	0	323	511	0	0	0	0	0	527	16.9	0.17	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	27-Feb-24	Delivered	Air 	28-Feb-24	SR_24-017_NBI hub_Mauritius	Mosquito Nets Repellant and Masks	Field Support Material	Kenya	36.990054	1.2404475	Mauritius	59.0191111	15.42579385	Other Agents	0	0	0	0	0	0	0	0	10,867	3,377.04	12.73	Freight In Time	Freight In Time	Freight In Time	03-Jan-24	Delivered	Air 	11-Mar-24	SR_24-014_NBO hub_Ethiopia	(IEHK 2017 SUPPLEMENTARY) MODULE MALARIA	Emergency Health Kits	Kenya	36.990054	1.2404475	Ethiopia	38.7675998	9.0146129	Other Agents	0	14,853	15,098	0	0	0	0	0	12,148	3,365.00	17.35	Freight In Time	Freight In Time	Freight In Time	16-Mar-24	Delivered	Air 	12-Mar-24	SR_24-020_NBO hub_Congo Brazzaville	RDT Covid 19 Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Congo Brazzaville	15.26485068	4.2809844	Other Agents	0	573	586	0	0	0	0	0	633	178	0.23	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	16-Mar-24	Delivered	Air 	06-Mar-24	SR_24-018_NBO hub_Malawi	TMDs	Cold Chain Equipment	Kenya	36.990054	1.2404475	Malawi	33.7929271	-13.9622973	Other Agents	0	0	0	50	0	0	0	0	0	0.04	0	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	03-Nov-24	Delivered	Air 	16-Mar-24	SR_24-024_NBO hub_Burundi	IEHK Kits and Tents	Emergency Health Kits	Kenya	36.990054	1.2404475	Burundi	29.3731839	-3.3806734	Other Agents	0	0	4,828	0	0	0	0	0	3,616	1,561.75	6.61	Freight In Time	Freight In Time	Freight In Time	23-Mar-24	Delivered	Air 	15-Mar-24	SR_24-021_NBO hub_Mauritius	Mosquito Repellant and Masks	Field Support Material	Kenya	36.990054	1.2404475	Mauritius	59.0191111	15.42579385	Kenya Airways	6,349.20	7,512	0	0	0	0	0	0	10,867	2,886.00	7.64	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	17-Mar-24	Delivered	Air 	20-Mar-24	SR_24-025_NBO hub_Senegal Hub	TMDs & Radio Motorola	Cold Chain Equipment	Kenya	36.990054	1.2404475	Senegal	-17.51361271	14.74267265	Other Agents	0	0	0	0	0	0	0	0	1,257	17.92	0.09	Freight In Time	Freight In Time	Freight In Time	22-Mar-24	Delivered	Air 	17-Apr-24	SR_24-030_NBO hub_Congo Kinshasa	RDT COVID-19 Kits 	Lab & Diagnostics	Kenya	36.990054	1.2404475	Congo Kinshasa	27.4727998	11.6564198	Other Agents	0	1,452	2,324	0	0	0	0	0	2,004	388	2.93	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	19-Apr-24	Delivered	Air 	22-Apr-24	SR_24-031_NBO hub_Zimbabwe	Boots Cholera kitsBody bags and Sprayers	PPE	Kenya	36.990054	1.2404475	Zimbabwe	31.08848075	-17.80269125	Kenya Airways	4,397.84	6,395	6,775	0	0	0	0	0	5,615	1,448.73	10.2	Freight In Time	Freight In Time	Freight In Time	26-Apr-24	Delivered	Air 	23-Apr-24	SR_24-027_NBO hub_Zambia	Cholera kits IEHK Kits and Tents	Emergency Health Kits	Kenya	36.990054	1.2404475	Zambia	28.3174378	15.4136414	Kenya Airways	27,307.00	30,803	27,965	0	0	0	0	0	33,498	10,113.91	40.67	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	05-Mar-24	Delivered	Air 	06-May-24	SR_24-029_NBO hub_Madagascar	IEHK KitsKit PED-SAMCholera kits and Tents	Emergency Health Kits	Kenya	36.990054	1.2404475	Madagascar	47.50866443	-14.71204234	Kenya Airways	46,250.00	50,943	41,185	0	0	0	0	0	74,431	14,250.50	54.18	Scan Global	Scan Global	Scan Global	14-May-24	Delivered	Air 	02-May-24	SR_24-035_NBO hub_Comoros 	Cholera kitsORSTentsKIT TRAUMA (IFAK) and Visibility Items	Emergency Health Kits	Kenya	36.990054	1.2404475	Comoros	43.2413774	11.7209701	Kenya Airways	32,116.00	0	0	0	0	0	0	0	25,770	9,618.95	46.33	Freight In Time	Freight In Time	Freight In Time	05-Aug-24	Delivered	Air 	14-May-24	SR_24-033_NBO hub_Burundi	Tents	Field Support Material	Kenya	36.990054	1.2404475	Burundi	29.3731839	-3.3806734	Other Agents	0	3,948	5,496	0	0	0	0	0	4,933	1,856.00	13.1	Freight In Time	Freight In Time	Freight In Time	30-May-24	Delivered	Air 	28-May-24	SR_24-038_NBO hub_Guinea Conakry	Kits and PPEs	Emergency Health Kits	Kenya	36.990054	1.2404475	Guinea	13.683989	8.40829457	Other Agents	0	2,383	9,588	3,887	0	0	0	0	2,238	341	1.33	Freight In Time	Freight In Time	Freight In Time	31-May-24	Delivered	Air 	04-Jun-24	SR_24-043_NBO hub_Benin	RDT Covid-19 Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Benin	9.30733826	2.30941937	Other Agents	0	518	0	540	0	0	0	0	0	33	0.22	DHL Express	DHL Express	DHL Express	06-Oct-24	Delivered	Air 	14-Jun-24	SR_24-041_NBO hub_Zimbabwe	Kit Cholera Hardware and Tents	Emergency Health Kits	Kenya	36.990054	1.2404475	Zimbabwe	31.08848075	-17.80269125	Other Agents	0	8,505	7,445	0	0	0	12,570	0	9,742	6,640.00	31.51	AGL	AGL	AGL	25-Jul-24	Delivered	Sea 	02-Jul-24	SR_24-047_NBO hub_Burundi	Tents	Field Support Material	Kenya	36.990054	1.2404475	Burundi	29.3731839	-3.3806734	Other Agents	0	5,478	4,411	0	0	0	4,246	0	4,117	1,604.00	6.68	Freight In Time	Freight In Time	Freight In Time	07-Oct-24	Delivered	Air 	08-Jul-24	SR_24-049_NBO hub_Zimbabwe	ORSINFUSION SET AND MEDICINES	Pharmarceuticals	Kenya	36.990054	1.2404475	Zimbabwe	31.08848075	-17.80269125	Other Agents	0	10,446	10,285	0	0	0	0	0	9,233	3,417.00	8.69	Freight In Time	Freight In Time	Freight In Time	15-Jul-24	Delivered	Air 	05-Jul-24	SR_24-050_NBO hub_Chad	RDT Covid 19 Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Chad	14.984082	12.128668	Other Agents	0	0	3,703	4,739	0	0	0	0	3,815	412	2.64	Scan Global	Scan Global	Scan Global		Delivered	Air 	18-Jul-24	SR_24-059_NBI hub_GUINEA BISSAU	RDT Covid 19 Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Guinea Bissau	15.5843227	11.8632196	Other Agents	0	0	0	942	0	0	0	0	0	88	0.58	DHL Express	DHL Express	DHL Express	30-Jul-24	Delivered	Air 	22-Jul-24	SR_24-060_NBO hub_Chad	TESK KITS	Emergency Health Kits	Kenya	36.990054	1.2404475	Chad	14.984082	12.128668	Other Agents	0	0	0	0	0	0	0	0	11,706	2,663.75	9.61	Freight In Time	Freight In Time	Freight In Time	25-Jul-24	Delivered	Air 	23-Jul-24	SR_24-053_NBO hub_Chad	Kit cholera laboratory	Lab & Diagnostics	Kenya	36.990054	1.2404475	Chad	14.984082	12.128668	Other Agents	0	750	744	0	0	0	0	0	0	35.27	0.3	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	27-Jul-24	Delivered	Air 	23-Jul-24	SR_24-054_NBO hub_Togo	TESK KIT	Emergency Health Kits	Kenya	36.990054	1.2404475	Togo	8.61028306	0.83263997	Other Agents	0	0	0	1,775	0	0	0	0	0	13	0.13	DHL Express	DHL Express	DHL Express	31-Jul-24	Delivered	Air 	24-Jul-24	SR_24-051_NBO hub_Madagascar	IEHKTESK Kits and assorted Items	Emergency Health Kits	Kenya	36.990054	1.2404475	Madagascar	47.50866443	-14.71204234	Kenya Airways	3,131	4,470	0	0	0	0	0	3,575	1230	7.47		Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	08-Mar-24	Delivered	Air 	06-Aug-24	SR_24-061_NBO hub_DR Congo	Cold chain Items and Goggles	Emergency Health Kits	Kenya	36.990054	1.2404475	DR Congo	15.2726097	4.3161726	Other Agents	0	3,425	3,990	0	0	0	0	0	4,438	267.24	6.01	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	08-Aug-24	Delivered	Air 	09-Aug-24	SR_24-048_NBO hub_Ethiopia	Cholera kitsORS and Ringer Lactate	Emergency Health Kits	Kenya	36.990054	1.2404475	Ethiopia	38.7675998	9.0146129	Other Agents	0	98,758	140,909	0	0	0	0	0	105,531	48,092.00	134.06	Freight In Time	Freight In Time	Freight In Time	15-Aug-24	Delivered	Air 	22-Aug-24	SR_24-065_NBO hub_Cote d'lvoire	PPEs	PPE	Kenya	36.990054	1.2404475	Cote d'lvoire	5.3835193	3.9929962	Other Agents	0	762	0	0	0	0	0	0	897	32	0.27	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	24-Aug-24	Delivered	Air 	22-Aug-24	SR_24-064_NBO hub_Central Africa Republic	PPEs	PPE	Kenya	36.990054	1.2404475	Central Africa Republic	18.5773703	4.3720473	Other Agents	0	8,345	7,997	0	0	0	0	0	0	1,666.00	6.41	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	27-Sept-24	Delivered	Air 	02-Sept-24	SR_24-068_NBO hub_Comoros	Cholera Laboratory and Investigation kits	Emergency Health Kits	Kenya	36.990054	1.2404475	Comoros	43.2413774	11.7209701	Other Agents	0	966	0	0	0	0	0	0	1,227	56.22	0.46	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	09-Jul-24	Delivered	Air 	05-Sept-24	SR_24-070_NBO hub_Togo	OXYGEN ANALYSER 	Biomedical Equipments	Kenya	36.990054	1.2404475	Togo	8.61028306	0.83263997	Other Agents	0	563	0	0	0	0	0	0	682	8.66	0.07	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	16-Sept-24	Delivered	Air 	05-Sept-24	SR_24-072_NBO hub_Burundi	FREEZER	Cold Chain Equipment	Kenya	36.990054	1.2404475	Burundi	29.3731839	-3.3806734	Other Agents	0	0	2,723	0	0	0	0	0	2,028	664	1.82	Freight In Time	Freight In Time	Freight In Time	13-Sept-24	Delivered	Air 	05-Sept-24	SR_24-071_NBO hub_DR Congo	ORSRinger lactate and PPEs	Pharmarceuticals	Kenya	36.990054	1.2404475	DR Congo	15.2726097	4.3161726	Other Agents	0	65,393	0	0	0	0	0	0	62,010	14,500.00	75	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	09-Jul-24	Delivered	Air 	16-Sept-24	SR_24-074_NBO hub_Sudan	Cholera Laboratory and RDT kits	Emergency Health Kits	Kenya	36.990054	1.2404475	Sudan	30.25399485	15.69090937	Other Agents	0	0	0	0	0	0	0	0	0	33.9	0.22	UNHAS 	UNHAS 	UNHAS 	19-Sept-24	Delivered	Air 	24-Sept-24	SR_24-081_NBO hub_Burundi	MPOX supplies 	Emergency Health Kits	Kenya	36.990054	1.2404475	Burundi	29.3731839	-3.3806734	Other Agents	0	0	0	0	0	0	0	0	0	29	0.28	Mary Nzemya	Mary Nzemya	Hand carried	25-Sept-24	Delivered	Air 	30-Sept-24	SR_24-088_NBO hub_Rwanda	PPEs	PPE	Kenya	36.990054	1.2404475	Rwanda 	29.88043595	-1.94365675	Other Agents	0	2,139	0	0	0	0	0	0	3,300	664	7.53	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	10-Jan-24	Delivered	Air 	03-Oct-24	SR_24-086_NBO hub_Comoros	Tents and Cholera kits	Field Support Material	Kenya	36.990054	1.2404475	Comoros	43.2413774	11.7209701	Other Agents	0	29,032	26,627	0	0	0	0	0	26,107	10,202.00	44.13	Freight in time	Freight in time	Freight in time	10-Dec-24	Delivered	Air 	02-Oct-24	SR_24-089_NBO hub_Uganda	Vests	Visibility	Kenya	36.990054	1.2404475	Uganda	32.3032312	1.36815764	Other Agents	0	0	0	59	0	0	0	0	0	2.4	0	DHL Express	DHL Express	DHL Express	10-Mar-24	Delivered	Air 	03-Oct-24	SR_24-082_NBO hub_Burundi	Ringer lactate ORS and PPEs	Pharmarceuticals	Kenya	36.990054	1.2404475	Burundi	29.3731839	-3.3806734	Other Agents	0	1,720	2,951	4,377	0	0	0	0	2,494	722.34	3.28	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	10-May-24	Delivered	Air 	07-Oct-24	SR_24-093_NBO hub_Rwanda	PPEs and Antifog	PPE	Kenya	36.990054	1.2404475	Rwanda	29.88043595	-1.94365675	Other Agents	0	26,518	0	0	0	0	0	0	22,794	7,445.00	45.65	Freight In time	Freight In time	Freight In time	10-Oct-24	Delivered	Air 	07-Oct-24	SR_24-094_NBO hub_Rwanda	Thermometers Piccolo and Glove Box	Biomedical Equipments	Kenya	36.990054	1.2404475	Rwanda	29.88043595	-1.94365675	Other Agents	0	0	0	0	0	0	0	0	0	180	1.52	Freight In time	Freight In time	Freight In time	10-Oct-24	Delivered	Air 	10-May-24	SR_24-095_NBO hub_Rwanda	Marburg	Emergency Health Kits	Kenya	36.990054	1.2404475	Rwanda	29.88043595	-1.94365675	Other Agents	0	1,240	0	0	0	0	0	0	1,576	369	1.72	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	16-Oct-24	Delivered	Air 	14-Oct-24	SR_24-097_NBO hub_Burundi	Tents	Field Support Material	Kenya	36.990054	1.2404475	Burundi	29.3731839	-3.3806734	Other Agents	0	2,297	0	0	0	0	0	0	2,541	1,051.00	4.33	Freight In Time	Freight In Time	Freight In Time	26-Oct-24	Delivered	Air 	14-Oct-24	SR_24-098_NBO hub_Rwanda	Viral RNA kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Rwanda	29.88043595	-1.94365675	Other Agents	0	0	0	286	0	0	0	0	811	22.54	0.21	Freight in Time	Freight in Time	Freight in Time	24-Oct-24	Delivered	Air 	16-Oct-24	SR_24-099_NBO hub_Burundi	Fuel Dispenser	Field Support Material	Kenya	36.990054	1.2404475	Burundi	29.3731839	-3.3806734	Other Agents	0	1,177	0	0	0	0	0	0	1,619	283	0.99	Freight In Time	Freight In Time	Freight In Time	11-Jan-24	Delivered	Air 	18-Oct-24	SR_24-100_NBO hub_Uganda	DEFIBRILLATORS	Biomedical Equipments	Kenya	36.990054	1.2404475	Uganda	32.3032312	1.36815764	Other Agents	0	354	0	822	0	0	0	0	654	51.18	0.46	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	24-Oct-24	Delivered	Air 	22-Oct-24	SR_24-101_NBO Hub_Rwanda	Mpox supplies 	Emergency Health Kits	Kenya	36.990054	1.2404475	Rwanda	29.88043595	-1.94365675	Other Agents	0	454	0	0	0	0	0	0	0	57.16	0.32	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	26-Oct-24	Delivered	Air 	22-Oct-24	SR_24-102_NBO hub_Uganda	Mpox supplies 	Emergency Health Kits	Kenya	36.990054	1.2404475	Uganda	32.3032312	1.36815764	Other Agents	0	403	0	0	0	0	0	0	0	57.16	0.32	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	26-Oct-24	Delivered	Air 	22-Oct-24	SR_24-103_NBO Hub_Burundi	Mpox supplies 	Emergency Health Kits	Kenya	36.990054	1.2404475	Burundi	29.3731839	-3.3806734	Other Agents	0	395	0	0	0	0	0	0	0	52.9	0.3	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	26-Oct-24	Delivered	Air 	23-Oct-24	SR_24-104_NBO hub_Malawi	Mpox supplies 	Emergency Health Kits	Kenya	36.990054	1.2404475	Malawi	33.7929271	-13.9622973	Other Agents	0	373	0	0	0	0	0	0	0	20.62	0.14	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	26-Oct-24	Delivered	Air 	23-Oct-24	SR_24-105_NBO hub_Rwanda	Vests	Visibility	Kenya	36.990054	1.2404475	Rwanda	29.88043595	-1.94365675	Other Agents	0	340	0	0	0	0	0	0	583	27	0.14	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	29-Oct-24	Delivered	Air 	23-Oct-24	SR_24-106_NBO hub_Rwanda	Feezer Aucma	Cold Chain Equipment	Kenya	36.990054	1.2404475	Rwanda	29.88043595	-1.94365675	Other Agents	0	729	971	0	0	0	0	0	865	92	1.01	Freight in Time	Freight in Time	Freight in Time	11-Feb-24	Delivered	Air 	23-Oct-24	SR_24-109_NBO hub_Comoros	Mpox supplies	Emergency Health Kits	Kenya	36.990054	1.2404475	Comoros	43.2413774	11.7209701	Other Agents	0	356	0	0	0	0	0	0	0	10.92	0.08	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	11-Jul-24	Delivered	Air 	31-Oct-24	SR_24-110_NBO hub_Madagascar	Mpox supplies	Emergency Health Kits	Kenya	36.990054	1.2404475	Madagascar	47.50866443	-14.71204234	Other Agents	0	396	0	0	0	0	0	0	0	20.62	0.14	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	11-Jun-24	Delivered	Air 	11-Jan-24	SR_24-112_NBO hub_Benin	Mpox supplies	Emergency Health Kits	Kenya	36.990054	1.2404475	Benin	9.30733826	2.30941937	Other Agents	0	492	0	0	0	0	0	0	0	19.36	3.21	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	11-Oct-24	Delivered	Air 	11-May-24	SR_24-115_NBO hub_Ghana	Mpox supplies	Emergency Health Kits	Kenya	36.990054	1.2404475	Ghana	5.6128722	0.1871217	Other Agents	0	541	0	0	0	0	0	0	0	48	0.4	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	13-Nov-24	Delivered	Air 	11-May-24	SR_24-114_NBO hub_DR Congo	Glove examination	PPE	Kenya	36.990054	1.2404475	DR Congo	15.2726097	4.3161726	Other Agents	0	4,328	0	0	0	0	0	0	0	899.84	4.1	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	11-Oct-24	Delivered	Air 	11-Nov-24	SR_24-116_NBO hub_Rwanda	Extraction kits 	Lab & Diagnostics	Kenya	36.990054	1.2404475	Rwanda	29.88043595	-1.94365675	Other Agents	0	458	395	0	0	0	0	0	633	14.89	0.21	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	11-Dec-24	Delivered	Air 	18-Nov-24	SR_24-117_NBO hub_DR Congo	Mpox	Emergency Health Kits	Kenya	36.990054	1.2404475	DR Congo	15.2726097	4.3161726	Other Agents	0	429	0	0	0	0	0	0	0	6.03	0.03	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	19-Nov-24	Delivered	Air 	18-Nov-24	SR_24-120_NBO hub_ Rwanda	Ringers Lactate	Pharmarceuticals	Kenya	36.990054	1.2404475	Rwanda	29.88043595	-1.94365675	Other Agents	0	6,589	5,592	0	0	0	0	0	6,318	2,330.00	5.65	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	19-Nov-24	Delivered	Air 	14-Nov-24	SR_24-119_NBO Hub_Nigeria	Cold Chain Equipment	Emergency Health Kits	Kenya	36.990054	1.2404475	Nigeria	9.0357943	7.4647231	Other Agents	0	0	0	455	0	0	0	0	0	10	0.1	DHL Express	DHL Express	DHL Express	25-Nov-24	Delivered	Air 	26-Nov-24	SR_24-092_NBO hub_Ethiopia 	CholeraIEHKPEDSAM and TESK kits	Emergency Health Kits	Kenya	36.990054	1.2404475	Ethiopia	38.7675998	9.0146129	Other Agents	0	25,898	27,461	0	0	0	0	0	0	10,209.00	28.8	Scan Global	Scan Global	Scan Global	12-Mar-24	Delivered	Air 	18-Nov-24	SR_24-123_NBO hub_DR Congo	IEHK Kits	Emergency Health Kits	Kenya	36.990054	1.2404475	DR Congo	15.2726097	4.3161726	Other Agents	0	6,253	7,478	0	0	0	0	0	6,787	1,865.00	10.16	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	22-Nov-24	Delivered	Air 	19-Nov-24	SR_24-134_NBO hub_Uganda	Mpox Kits	Emergency Health Kits	Kenya	36.990054	1.2404475	Uganda	32.3032312	1.36815764	Other Agents	0	336	0	0	0	0	0	0	0	12	0.1	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	22-Nov-24	Delivered	Air 	22-Nov-24	SR_24-135_NBO hub_Eritrea	Cholera RDT	Lab & Diagnostics	Kenya	36.990054	1.2404475	Eritrea	39.83225616	15.18756436	Other Agents	0	0	0	0	0	0	0	0	0			Mr.Ali	Mr.Ali	Hand Carried		Delivered	Air 	27-Nov-24	SR_24-136_NBO hub_Burundi	Ampilicilin	Pharmarceuticals	Kenya	36.990054	1.2404475	Burundi	29.3731839	-3.3806734	Other Agents	0	0	0	167	0	0	0	0	0	12	0.02	DHL Express	DHL Express	DHL Express	29-Nov-24	Delivered	Air 	28-Nov-24	SR_24-137_NBO hub_Malawi	TESK Kits	Emergency Health Kits	Kenya	36.990054	1.2404475	Malawi	33.7929271	-13.9622973	Other Agents	0	13,670	13,050	0	0	0	0	8,250	0	8,646.00	35.6	Siginon Logistics	Siginon Logistics	Siginon Logistics	31-Dec-24	Delivered	Road 	03-Dec-24	SR_24-144_NBO hub_Madagascar	Kits and Wash items	WASH/IPC	Kenya	36.990054	1.2404475	Madagascar	47.50866443	-14.71204234	Other Agents	0	13,560	11,104	0	0	0	0	0	0	4,754.00	22.5	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	29-Dec-24	Delivered	Air 	03-Dec-24	SR_24-146_NBO hub_Zimbabwe	Mpox supplies	Emergency Health Kits	Kenya	36.990054	1.2404475	Zimbabwe	31.08848075	-17.80269125	Other Agents	0	367	0	0	0	0	0	0	0	18.42	0.2	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	12-Nov-24	Delivered	Air 	13-Dec-24	SR_24-118A_NBO hub_South Sudan	Cholera Investigation and Bed	Emergency Health Kits	Kenya	36.990054	1.2404475	South Sudan	29.69490516	7.86237248	Other Agents	0	4,401	3,911	0	0	0	0	0	4,689	2,864.50	10.6	Scan Global	Scan Global	Scan Global	19-Dec-24	Delivered	Road 	17-Dec-24	SR_24-150_NBO hub_Zambia	Cholera Lab Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Zambia	28.3174378	15.4136414	Other Agents	0	412	723	0	0	0	0	0	0	41.32	0.45	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	08-Jan-25	Delivered	Air 	17-Dec-24	SR_24-151_NBO hub_Comoros	Cholera and Dengue RDTs	Lab & Diagnostics	Kenya	36.990054	1.2404475	Comoros	43.2413774	11.7209701	Other Agents	0	678	877	0	0	0	0	0	0	149.22	0.54	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	24-Dec-24	Delivered	Air 	17-Dec-24	SR_24-126_NBO hub_Eswatini	ISOTHERMAL BOX	Cold Chain Equipment	Kenya	36.990054	1.2404475	Eswatini	31.46277335	26.517661	Other Agents	0	5,930	0	0	0	0	0	0	4,019	316	5.85	Freight in Time	Freight in Time	Freight in Time	27-Dec-24	Delivered	Air 	20-Dec-24	SR_24-153_NBO hub_Burundi	Dextrose	Pharmarceuticals	Kenya	36.990054	1.2404475	Burundi	29.3731839	-3.3806734	Other Agents	0	1,218	0	0	0	0	0	0	0	533	2.09	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	31-Dec-24	Delivered	Air 	31-Dec-24	SR_24-154_NBO hub_Malawi	Mpox supplies and freezer	Emergency Health Kits	Kenya	36.990054	1.2404475	Malawi	33.7929271	-13.9622973	Other Agents	0	1,517	0	0	0	0	0	0	0	369	1.89	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	14-Jan-25	Delivered	Air 	13-Dec-24	SR_24-118B_NBO hub_South Sudan	Cholera Kits and Tents	Emergency Health Kits	Kenya	36.990054	1.2404475	South Sudan	29.69490516	7.86237248	Other Agents	0	0	0	0	0	0	0	0	8,600	11,097.00	49.93	Freight in Time	Freight in Time	Freight in Time	12-Jan-25	Delivered	Road 	19-Nov-24	SR_24-133_NBO hub_South_Sudan	Filovirus Kits	Emergency Health Kits	Kenya	36.990054	1.2404475	South Sudan	29.69490516	7.86237248	Other Agents	0	366	0	0	0	0	0	0	895	10.36	0.04	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	15-Jan-25	Delivered	Air 	17-Jan-25	SR_25-008_NBO hub_DR Congo	PPEs	PPE	Kenya	36.990054	1.2404475	DR Congo	15.2726097	4.3161726	Other Agents	0	7,360	0	0	0	0	0	0	9,656	2,203.00	16.04	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	10-Mar-25	Delivered	Air 	22-Jan-25	SR_25-010_ NBO hub_Tanzania	VHF Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Tanzania	39.2968217	6.8122141	Other Agents	0	2,783	0	0	0	0	0	0	0	1,444.00	16.5	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	07-Feb-25	Delivered	Air 	24-Jan-25	SR_25-013_ NBO hub_Tanzania	Lab PPEs	Lab & Diagnostics	Kenya	36.990054	1.2404475	Tanzania	39.2968217	6.8122141	Other Agents	0	1,099	0	0	0	0	0	0	0	486	2.5	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	28-Jan-25	Delivered	Air 	01-Jun-25	SR_25-001_NBO hub_Ethiopia	Malaria Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Ethiopia	38.7675998	9.0146129	Other Agents	0	678	877	0	0	0	0	0	0	805	7.7	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	31-Jan-25	Delivered	Air 	24-Jan-25	SR_25-014_NBO hub_Tanzania	VHF Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Tanzania	39.2968217	6.8122141	Other Agents	0	1,588	0	0	0	0	0	0	0	758	3.33	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	29-Jan-25	Delivered	Air 	01-Feb-25	SR_25-019_NBO hub_Uganda 	EVD Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Uganda	32.3032312	1.36815764	Other Agents	0	2,204	0	0	0	0	0	2,204	0	1,422.96	16.48	Siginon Logistics	Siginon Logistics	Siginon Logistics	02-Mar-25	Delivered	Air 	01-Feb-25	SR_25-020_NBO hub_Uganda	EVD Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Uganda	32.3032312	1.36815764	Other Agents	0	2,204	0	0	0	0	0	2,204	0	1,472.26	16.97	Siginon Logistics	Siginon Logistics	Siginon Logistics	04-Mar-25	Delivered	Air 	01-Feb-25	SR_25-021_NBO hub_Uganda	EVD Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Uganda	32.3032312	1.36815764	Other Agents	0	2,204	0	0	0	0	0	2,204	0	1,436.58	16.58	Siginon Logistics	Siginon Logistics	Siginon Logistics	05-Feb-25	Delivered	Air 	01-Feb-25	SR_25-022_NBO hub_Uganda	EVD Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Uganda	32.3032312	1.36815764	Other Agents	0	2,204	0	0	0	0	0	2,204	0	1,411.78	16.57	Siginon Logistics	Siginon Logistics	Siginon Logistics	06-Feb-25	Delivered	Air 	01-Feb-25	SR_25-023_NBO hub_Uganda	EVD Kits	Lab & Diagnostics	Kenya	36.990054	1.2404475	Uganda	32.3032312	1.36815764	Other Agents	0	2,204	0	0	0	0	0	2,204	0	1,411.78	16.57	Siginon Logistics	Siginon Logistics	Siginon Logistics	06-Feb-25	Delivered	Air 	30-Jan-25	SR_25-018_NBO hub_Sierra Leone	PPEs and pharmaceuticals	PPE	Kenya	36.990054	1.2404475	Sierra Leone	-11.83748596	8.42228531	Other Agents	0	7,350	0	0	0	0	0	0	7,936	1,965.54	9.81	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	18-Feb-25	Delivered	Air 	30-Jan-25	SR_25-017_NBO hub_DR Congo	PPEs	PPE	Kenya	36.990054	1.2404475	DR Congo	15.2726097	4.3161726	Other Agents	0	8,552	0	0	0	0	0	0	10,648	2,566.08	17.67	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	14-Feb-25	Delivered	Air 	24-Jan-25	SR_25-015_NBO hub_Sao Tome	PPEs	PPE	Kenya	36.990054	1.2404475	Sao Tome	6.84570896	0.24103452	Other Agents	0	0	0	307	0	0	0	0	0	11.72	0.12	DHl Express	DHl Express	DHl Express	25-Feb-25	Delivered	Air 	10-Jan-25	SR_25-026_NBO hub_Uganda	Biosafety cabinets 	Lab & Diagnostics	Kenya	36.990054	1.2404475	Uganda	32.3032312	1.36815764	Other Agents	0	590	0	0	0	0	0	0	964	191.28	1.29	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	11-Feb-25	Delivered	Air 	10-Feb-25	SR_25-025_NBO hub_Eritrea	Lab supplies	Lab & Diagnostics	Kenya	36.990054	1.2404475	Eritrea	39.83225616	15.18756436	Other Agents	0	0	0	0	0	0	0	0	0	21.76	0.21	Nonso	Nonso	Hand carried	13-Feb-25	Delivered	Air 	05-Feb-25	SR_25-024_NBO hub_DR Congo	TESKIEHK Kits and TENTS ?ÿ PPES	Emergency Health Kits	Kenya	36.990054	1.2404475	DR Congo	15.2726097	4.3161726	Other Agents	0	8,400	0	0	0	0	0	10,000	0	12,700.00	63.68	Siginon Logistics	Siginon Logistics	Siginon based on contractual history and performance	26-Feb-25	Delivered	Road 	24-Feb-25	SR_25-032_NBO hub_Sao Tome	Remel swabs	Lab & Diagnostics	Kenya	36.990054	1.2404475	Sao Tome	6.84570896	0.24103452	Other Agents	0	0	0	270	0	0	0	0	0	20	0.23	DHL Express	DHL Express	DHL Express	12-Mar-25	Delivered	Air 	24-Feb-25	SR_25-031_NBO hub_Guinea	Remel swabs	Lab & Diagnostics	Kenya	36.990054	1.2404475	Guinea	13.683989	8.40829457	Other Agents	0	0	0	270	0	0	0	0	0	20	0.23	DHL Express	DHL Express	DHL Express	06-Mar-25	Delivered	Air 	24-Feb-25	SR_25-033_NBO hub_DR Congo	PPEs and Lab Supplies 	PPE	Kenya	36.990054	1.2404475	DR Congo	15.2726097	4.3161726	Other Agents	0	798	0	0	0	0	0	0	990	192.7	0.94	Kuehne Nagel	Kuehne Nagel	Kuehne Nagel	06-Mar-25	Delivered	Air .DeepCAL  Documentation & Implementation Blueprint   Version: 1.0 Date: 30 March 2025      Developed by Mostar Industries  ________________________________________ Table of Contents 1.	Introduction & Overview 2.	PHASE 1: Data-First Protocol o	2.1 The “No Data, No Feature” Lockdown o	2.2 DeepCAL Input Layer (Strict Boot Order) o	2.3 Versioned Intake & Data Lineage 3.	PHASE 2: Core Algorithm & Engine Implementation o	3.1 Data Architecture & Preprocessing o	3.2 Analytics Engine o	3.3 Decision Engine (Grey / Neutrosophic AHP-TOPSIS) o	3.4 Feedback Loop & Continuous Learning o	3.5 Training + Inference Model (CNN/RNN/Transformer) 4.	PHASE 3: UI & Frontend Integration o	4.1 Algorithm-First, Then Visualization o	4.2 Suggested Next.js + Services Architecture o	4.3 DeepCAL Startup Prompt o	4.4 DeepTalk Conversational AI Layer 5.	Offline-First & Edge Constraints 6.	Live Tracking Integration 7.	System Architecture (Consolidated) 8.	Scientific Rigor & Publishability 9.	DeepCAL Data Dictionary 10.	Implementation Artifacts •	10.1 Python “deepcal_core.py” (Neutrosophic/Grey AHP-TOPSIS) •	10.2 SQL Schema for Supabase •	10.3 Example Supabase Edge Function •	10.4 Sample Data Refresh & Caching Strategy •	10.5 Error Handling & Fallbacks 11.	Conclusion    ________________________________________ 1. Introduction & Overview DeepCAL is an Intelligent Emergency Logistics Decision-Support System that optimizes humanitarian supply chains under uncertainty. It merges: •	Data-First Protocol ensuring all features, charts, and decisions are locked behind verified data. •	Analytics Engine generating key performance indicators (cost, transit time, disruption risk) from a shared data store. •	Decision Engine employing a Grey or Neutrosophic AHP-TOPSIS approach to handle uncertain, partial, or fuzzy judgments in multi-criteria decision-making. •	Conversational AI Layer (DeepTalk) that allows non-technical staff to query the system. •	Offline-First architecture for low-bandwidth or remote deployment scenarios. •	Feedback Loop for continuous learning, adjusting risk scores, route reliability, and forwarder performance with each shipment. DeepCAL ensures scientific rigor via a separation of concerns: 1.	Data: Must be validated and versioned (no data, no feature). 2.	Core Engine: The system’s algorithmic “brain” is implemented before hooking up any UI. 3.	UI & Visualization: Strictly a reflection layer, connecting only once the engine is stable and tested.   ________________________________________ 2. Deep 1: Data-First Protocol 2.1 The “No Data, No Feature” Lockdown “Nothing Moves Without the Core.” All features—charts, APIs, decisions—remain locked until the base dataset is loaded, validated, and version-tagged. Concretely: ts CopyEdit if (!BaseDataStore.hasSyncedFrom('deeptrack_2.csv')) {     throw new Error("Base algorithmic data not loaded – system locked."); } Why? Because in emergency logistics, data completeness is crucial. We cannot produce half-baked analyses. This ensures: •	No computation is performed on partial or unverified datasets. •	Every chart or recommendation traces back to a validated input file or record. 2.2 DeepCAL Input Layer (Strict Boot Order) 1.	Load deeptrack_2.csv (base logistic data file). 2.	Validate the shape, columns, missing values, data types. 3.	Initialize the global/base state (e.g., Redux, Zustand, or server memory store). 4.	Boot the analytics + decision engine only after data is confirmed valid. Versioned Intake: json CopyEdit {   "version": "v1.0.0-deepbase",   "hash": "sha256-XYZ",   "source": "deeptrack_2.csv" } Every transformed dataset references the original hash & version, ensuring lineage. 2.3 Versioned Intake & Data Lineage All data passes through a versioning pipeline: •	Each CSV or JSON upload is hashed with sha256. •	The system logs an entry with (version, hash, source). •	Any derived dataset inherits that lineage, ensuring traceability for compliance and audits.   ________________________________________ 3. Deep 2: Core Algorithm & Engine Implementation Implement the entire decision-support algorithm from scratch, ensuring we have a credible, auditable logic core. The UI is not permitted to do heavy-lift or decision logic. 3.1 Data Architecture & Preprocessing Data Flow: 1.	Intake CSV or ERP feed → 2.	Validation (units, missing fields, outliers) → 3.	Normalization (e.g., unify weight to kg, volume to cbm, cost to USD) → 4.	Computation (transit durations, distance calculations, disruptions). Supabase or a local DB (Postgres) stores: •	shipments table: id, origin, destination, weight_kg, volume_cbm, cost, forwarder, etc. •	forwarders table: forwarder metadata, performance stats. •	routes table: route-level metrics (distance, average delay, risk factor). •	criteria_weights: storing AHP or Grey/Neutrosophic weight sets, etc. 3.2 Analytics Engine Aggregates raw data into KPIs: •	Average Transit Time per route/forwarder. •	Cost metrics (cost per kg, cost per route). •	Reliability Index (on-time performance). •	Disruption/Risk (frequency of delays, cancellations). Dynamic Truck Selection: •	A simple heuristic picks the smallest truck type that can handle the cargo’s weight & volume. •	If new data arrives (e.g., an updated volumetric weight), it recalculates in real-time. 3.3 Decision Engine (Grey / Neutrosophic AHP-TOPSIS) Multi-Criteria Decision-Making in uncertain, real-world humanitarian ops: •	Triangular Neutrosophic (or Grey) AHP to derive criterion weights under partial or uncertain judgments. •	TOPSIS to rank alternatives (routes, carriers, or resource allocations) with those weights. 3.3.1 AHP with Neutrosophic or Grey Ratings •	Each pairwise comparison might be expressed as a range or a fuzzy triple (T, I, F) or (Lower, Mid, Upper). •	Crispify or use a “score function” e.g. Score( T, I, F ) = T – F, or a Grey range approach if minimal info is known. 3.3.2 TOPSIS Ranking 1.	Construct a decision matrix of alternatives × criteria. 2.	Normalize & weight by the AHP-derived vector. 3.	Identify ideal and anti-ideal solutions. 4.	Compute distances & closeness: Ci=Di−Di++Di−. C_i = \frac{D_i^-}{D_i^+ + D_i^-}.Ci=Di++Di−Di−.  5.	Rank by CiC_iCi descending. 3.4 Feedback Loop & Continuous Learning After each shipment: •	Compare actual vs. predicted performance. •	Update route/forwarder reliability (if consistent underperformance, reliability is downgraded). •	Adjust TNN or Grey intervals for cost/time. •	Log “overrides” or new ground truth. This ensures the system self-improves as data accumulates. 3.5 Training + Inference Model (CNN/RNN/Transformer) (Optional advanced layer.) DeepCAL can incorporate a machine-learning model for forecasting disruptions or cost overruns: •	CNN or RNN for time-series data (historical shipments). •	Transformer for sequences with many features. Outputs: •	Route-time disruption probability •	Confidence of plan success •	Risk of cost overrun All plugged in after the core MCDM is stable. ________________________________________ 4. PHASE 3: UI & Frontend Integration 4.1 Algorithm-First, Then Visualization UI is a “reflection layer”: •	All decisions must already be computed by the engine. •	No on-the-fly logic in the React (or any) front-end. •	The UI calls something like getRankedAlternatives() or a RESTful endpoint returning the pre-processed results. 4.2 Suggested Next.js + Services Architecture bash CopyEdit /pages   /dashboard.tsx       => Visualizes data from the engine   /ranking.tsx         => Displays plan scores, closeness coefficients   /analytics.tsx       => Summaries, charts from analytics  /services   /deepcalEngine.ts     => Core AHP + TOPSIS + learning logic   /dataIntake.ts        => CSV loader & validator   /modelTrainer.ts      => CNN/RNN training   /context/global.ts    => Live context store  /components   /DossierCard.tsx      => Detailed forwarder profile   /ResilienceChart.tsx  => Visualization of route disruption over time 4.3 DeepCAL Startup Prompt “Build a supply chain resilience engine strictly rooted in deeptrack_2.csv and the Neutrosophic/Grey AHP-TOPSIS methodology from the doc. Do not allow any UI, predictive, or decision modules unless they derive from validated data + model. Start with data, build the engine, then expose an API for visualization. UI is reflection only.” 4.4 DeepTalk Conversational AI Layer A chat-based interface: •	Intent classification (e.g., “fastest route,” “compare forwarders,” “explain ranking”). •	Response generation that references actual data (transit times, risk scores). •	Personality: “smart, tactical, blunt-honest,” or as configured. •	Nudges user for clarifications if data is ambiguous. ________________________________________ 5. Offline-First & Edge Constraints Many humanitarian field sites have low connectivity. DeepCAL is designed so that: •	In-App base data or offline storage is used; no persistent internet needed. •	On-device AI & logic (no external calls for the core). •	Minimal external APIs for optional weather or traffic data. •	Graceful degradation if real-time feeds are unavailable (it uses historical data or best guess). •	Data sync or triggers happen asynchronously when a connection is available. ________________________________________ 6. Live Tracking Integration RFID/GPS or even SMS-based tracking: •	Each location or checkpoint scan updates the DB. •	If an anomaly (e.g., stuck in transit for 12 extra hours) occurs, the analytics engine raises risk. •	The decision engine can either alert or auto-suggest re-routing if feasible. Workflow: 1.	Truck departs warehouse, triggers status = Departed. 2.	Mid-route RFID scans log timestamps → if behind schedule, reliability for that route dips. 3.	On arrival, system calculates actual transit time → updates route stats, forwarder performance. ________________________________________ 7. System Architecture (Consolidated) In-App Data → Firebase DB → Map → Analytics → AHP-TOPSIS → DeepTalk (UI or Chat) Key Modules: •	In-App base data (json, csv) •	Map (Shipment tracking, live tracking, geotagging, geolocation, geographical area) •	Analytics (KPI calculations, historical stats). •	Decision (Neutrosophic/Grey AHP + TOPSIS + truck assignment). •	Conversational (DeepTalk AI). Modules operate in a feedback loop: 1.	New shipments → analytics updates metrics → decision engine recalculates best route → user sees updated recommendation. 2.	After actual performance arrives, learning adjusts the next decisions. ________________________________________ 8. Scientific Rigor & Publishability DeepCAL stands on well-known MCDM expansions: •	Analytic Hierarchy Process (AHP) from Saaty. •	Grey or Neutrosophic logic for partial/inconsistent data. •	TOPSIS from Hwang & Yoon. We maintain consistency checks (Saaty’s CR < 0.1) for the pairwise matrix. Every numeric formula is documented & reproducible: •	Crispification of TNN or Grey intervals. •	Weighted normalization in TOPSIS. •	Distances to ideal solutions. Hence, each recommendation is traceable, replicable, and can be published in an academic setting. The system logs both input data and final scoring, facilitating audit or peer review.   ________________________________________ 9. DeepCAL Data Dictionary A quick reference for key fields used in the system: Field	Data Type	Description shipment_id	Text	Unique ID for each shipment (e.g., “SR_24-001_NBO_Zimbabwe”) – Primary Key date_of_collection	Date	Date cargo is picked from origin hub date_of_arrival_destination	Date	Actual or expected arrival date at destination origin_country	Text	Country/hub of origin (e.g., “Kenya”) destination_country	Text	Country/hub of destination (e.g., “Zimbabwe”) weight_kg	Numeric	Weight in kilograms volume_cbm	Numeric	Volume in cubic meters mode_of_shipment	Text	Mode (Air, Sea, Road, Rail, etc.) cost	Numeric	Overall cost or quote for the shipment forwarder	Text	Assigned freight forwarder or carrier risk_level	Text	Categorical risk (“Low,” “Med,” “High”) computed or updated by the engine final_quote_awarded	Text	Which forwarder ended up with the final contract delivery_status	Text	E.g., “Delivered,” “In Transit,” “Delayed” disruption_score	Numeric	A numeric estimate of route disruption probability criteria_weights	JSON	AHP or Grey/Neutrosophic weighting sets for cost, time, risk, reliability forwarders (table)	-	Holds each forwarder’s ID, name, average cost, reliability index, on-time rate, etc. routes (table)	-	Route-level data (distance, typical cost, typical time, historical incident rates) tracking_events (table)	-	Timestamps & statuses for real-time location tracking, used for risk adjustment    ________________________________________ 10. Implementation Artifacts 10.1 Python “deepcal_core.py” (Neutrosophic/Grey AHP-TOPSIS) [Full Code—Excerpt below; see earlier consolidated reference or the “Methodology” doc section for the entire listing.] python CopyEdit import numpy as np  class TNN:     def __init__(self, T, I, F):         self.T = float(T)         self.I = float(I)         self.F = float(F)     def score(self):         return self.T - self.F  # Simple: S(N) = T - F # Build pairwise matrix from judgments, etc. # ... # Then do TOPSIS with normalizations, distances, closeness.  Key Steps: 1.	Build pairwise matrix from TNN or Grey ranges. 2.	Crispify & compute weights (AHP). 3.	Construct the decision matrix from route/forwarder data. 4.	Normalize, weight, find ideal solutions (TOPSIS). 5.	Calculate closeness & rank.    10.2 SQL Schema for Firebase sql CopyEdit -- shipments table CREATE TABLE shipments (   id SERIAL PRIMARY KEY,   shipment_id TEXT UNIQUE NOT NULL,   date_of_collection DATE NOT NULL,   date_of_arrival_destination DATE,   origin_country TEXT NOT NULL,   destination_country TEXT NOT NULL,   weight_kg NUMERIC,   volume_cbm NUMERIC,   mode_of_shipment TEXT,   cost NUMERIC,   forwarder TEXT,   risk_level TEXT,   final_quote_awarded TEXT,   delivery_status TEXT,   disruption_score NUMERIC,   created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW() );   -- forwarders table CREATE TABLE forwarders (   id UUID PRIMARY KEY,   name TEXT NOT NULL,   avg_cost_per_kg NUMERIC,   avg_transit_days NUMERIC,   on_time_rate NUMERIC,   performance_score NUMERIC,   preferred BOOLEAN,   created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW() );  -- routes table CREATE TABLE routes (   id SERIAL PRIMARY KEY,   origin TEXT NOT NULL,   destination TEXT NOT NULL,   distance_km NUMERIC,   typical_transit_days NUMERIC,   disruption_probability NUMERIC,   forwarder_id UUID REFERENCES forwarders(id),   created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW() );  -- tracking_events table CREATE TABLE tracking_events (   id SERIAL PRIMARY KEY,   shipment_id TEXT REFERENCES shipments(shipment_id),   event_time TIMESTAMP WITH TIME ZONE NOT NULL,   location TEXT,   status TEXT,   raw_data JSONB,   created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW() );    10.3 Example Firebase Edge Function js CopyEdit import { serve } from "https://deno.land/[email protected]/http/server.ts"; import { createClient } from "https://esm.sh/@supabase/supabase-js@2";  const supabaseUrl = Deno.env.get("SUPABASE_URL"); const supabaseAnonKey = Deno.env.get("SUPABASE_ANON_KEY"); const supabase = createClient(supabaseUrl, supabaseAnonKey);  serve(async (req) => {   try {     const { shipment_id } = await req.json();     if (!shipment_id) {       return new Response(JSON.stringify({ error: "Missing shipment_id" }), { status: 400 });     }      // Minimal example: fetch shipment, forwarder, run a simplified decision     const { data: shipment, error } = await supabase       .from('shipments')       .select('*')       .eq('shipment_id', shipment_id)       .single();     if (error || !shipment) throw new Error("Shipment not found");      // Suppose we just pick the best forwarder by cost     const { data: forwardersData } = await supabase       .from('forwarders')       .select('*');          // (In real usage, run the entire AHP-TOPSIS flow.)     // For demonstration, return the forwarder with min avg_cost_per_kg     const best = forwardersData.reduce((prev, curr) =>       (prev.avg_cost_per_kg < curr.avg_cost_per_kg) ? prev : curr     );      return new Response(JSON.stringify({       recommended_forwarder: best.name,       reason: "Lowest average cost"     }), { status: 200 });   } catch (err) {     return new Response(JSON.stringify({ error: err.message }), { status: 500 });   } });  10.4 Sample Data Refresh & Caching Strategy •	Static reference data (location coords, forwarder baseline) → refreshed daily. •	Dynamic pricing or risk → refreshed every 4 hours. •	Real-time tracking → updated event-driven or every 15 minutes. •	Cache in memory with TTL, e.g., 240 minutes for forwarder quotes. •	Invalidate or forcibly re-fetch if a user triggers a “sync” or we detect updated CSV source. 10.5 Error Handling & Fallbacks •	Missing fields → 'No Quote' or large penalty in the model. •	Inconsistent numeric data → auto-correct or user alert. •	Default for cost if route not found → No Quote. •	Default transit times if unlisted route → based on typical mode multipliers.   ________________________________________ 11. Conclusion By strictly enforcing data validity (“No Data, No Feature”), building a robust multi-criteria engine (Grey/Neutrosophic AHP-TOPSIS), and layering a UI that purely reflects the verified model outputs, DeepCAL ensures: •	Explainable Decisions (traceable to each row of data and each step of the algorithm). •	Reproducibility (same input yields the same route/forwarder ranking). •	Scientific Validity (publishable methodology, references to established MCDM expansions). •	Resilience Under Audit (perfect for NGOs, field ops, or government compliance). •	Plug-and-Play Intelligence (UI can be replaced or updated; the engine remains consistent). This single consolidated documentation merges all previous references—Data Architecture, Methodology (Neutrosophic AHP-TOPSIS), Implementation Blueprint—plus the new phased approach. It forms a comprehensive, end-to-end blueprint for DeepCAL deployment and usage. Next Steps? •	Implement local or Firebase DB following the provided schema. •	Extend the Phase 2 engine with advanced ML if required. •	Build minimal front-end dashboards that merely call getRankedAlternatives() or “DeepCAL_Engine” APIs. •	Deploy offline-first to field offices with large local caches.    DeepCAL has been carefully and meticulously crafted by Mostar Industries and stands ready to revolutionize emergency logistics decisions with rigor, transparency, and real-time adaptability—always starting from a rock-solid data core. 
+Great Start , nice setup.. Now maintain this build , and add two More pages. 1. Ai training and management, 2. The DeepCAL, a Powerful Freight Analyser (Logistics Calculator), that has shipping components and allows users to add and analyze more freight forwarder , it uses the engine the algorim to run it
+Great Start , nice setup.. Now maintain this build , and add two More pages. 1. Ai training and management, 2. The DeepCAL, a Powerful Freight Analyser (Logistics Calculator), that has shipping components and allows users to add and analyze more freight forwarder , it uses the engine the algorim to run it