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Logistics & Supply Chain Β· Morocco, North Africa
AI/ML Solutions Custom Software Dev Process Automation

Smarter routes. Faster customs. Real-time cargo visibility.

Atlas Freight Group β€” Morocco's second-largest freight forwarder β€” needed to modernize a logistics operation running on spreadsheets and WhatsApp groups. Zyrova delivered an AI-powered platform that optimized routes, automated customs documentation, and gave operations teams live cargo visibility for the first time.

ClientAtlas Freight Group
Duration6 Months
Team Size7 Engineers + 1 PM
Year2024
23% Route Cost Reduction AI optimization vs. manual routing baseline
2.3 days β†’ 4 Hours Average customs clearance time improvement
80% Status Call Reduction Via client self-service portal adoption
MAD 6.8M Annual Savings Combined fuel, time, and delay cost reduction
Project Overview

The Engagement

Atlas Freight Group manages over 2,000 active shipments monthly across Morocco, Algeria, Mauritania, and Sub-Saharan African corridors. As one of Morocco's largest freight forwarders, they sit at the intersection of Morocco's strategic ambition to become Africa's logistics hub under the National Logistics Strategy. However, their operational systems had not scaled with their volume β€” dispatchers managed routes via WhatsApp, customs documentation was manually compiled from 8 different source documents, and cargo status was communicated by telephone.

The Challenge

The operational fragmentation created three acute problems: dispatchers were spending 60% of their working day on status calls rather than optimization; customs documentation errors were causing clearance delays averaging 2.3 days; and leadership had no visibility into network performance β€” they could not answer basic questions like current fleet utilization or which corridor was most profitable without a 2-day manual analysis.

Technology Stack
Tools & Platforms Used
ReactReact NativePythonFastAPIPostgreSQLGPS IntegrationAWSRedisArabic/French i18nNode.js

Services Delivered
AI/ML Solutions Custom Software Dev Process Automation

MarketπŸ‡²πŸ‡¦ Morocco, North Africa
IndustryLogistics & Supply Chain
Duration6 Months
Year2024
Our Approach

How We Solved It

We built around three core capabilities: real-time visibility, AI route optimization, and automated documentation.

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AI Route Optimization

Machine learning model that generates optimal routing for each shipment based on distance, fuel cost, border crossing wait times (real-time), driver hours, and cargo type restrictions. Average route cost reduced by 23%.

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Automated Customs Documentation

Intelligent document assembly that extracts data from supplier invoices, packing lists, and certificates of origin β€” auto-populating Moroccan and Algerian customs declarations in 4 minutes vs. 2.5 hours.

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Real-Time Cargo Visibility

GPS integration with 340 vehicles plus carrier API integrations β€” every shipment trackable to within 10 minutes of actual position, with exception alerts for delays, border holds, and deviations.

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Client Portal

Branded shipper portal where clients can book, track, and receive documentation for every shipment β€” eliminating 80% of inbound status call volume.

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Network Analytics

Corridor profitability analysis, on-time performance by route and driver, customs broker performance scoring, and monthly executive dashboards in Arabic and French.

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Driver Mobile App

React Native app for drivers: digital proof of delivery, route guidance, incident reporting, and document scanning β€” replacing paper-based POD processes.

"

The customs documentation automation alone paid for the entire platform in the first quarter. But what surprised us most was the client portal β€” our clients adopted it immediately and our account managers suddenly had time to actually sell instead of answering status calls all day.

Rachid Benjelloun CEO, Atlas Freight Group Β· Atlas Freight Group
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