Route Optimization & ETA Prediction for a Logistics Fleet

Logistics & Supply Chain: Dispatchers planned 400+ daily deliveries by hand; vehicles ran half-empty and customers got unreliable delivery windows. Fuel…

Client: Regional Logistics Company. Industry: Logistics & Supply Chain.

Challenge: Dispatchers planned 400+ daily deliveries by hand; vehicles ran half-empty and customers got unreliable delivery windows.

Solution: Combined a vehicle-routing optimiser with ML-based ETA prediction from GPS history and traffic patterns, exposed through a dispatcher dashboard and customer WhatsApp updates.

Technologies: OR-Tools, XGBoost, Kafka, PostgreSQL, WhatsApp API.

• Fuel Cost: -14%
• On-time Deliveries: +19%
• Planning Time: -80%
• Vehicles Used: -11%

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