YYazansoft.
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AIOptimizationPythonReal-time

Logistics Company — AI-Powered Route Optimization

AI-powered route optimization system for 10,000+ daily deliveries. Real-time traffic data, weather integration, and 23% fuel cost reduction.

Problem

  • High daily delivery volume made manual route planning slow and expensive.
  • Traffic, weather, and delivery windows were not reflected well enough in planning.
  • Operations teams needed explainable recommendations they could override when necessary.

Approach

  • Delivery, vehicle, location, and time-window data were combined in one optimization model.
  • Traffic and weather signals enriched route scoring in near real time.
  • Recommendation, exception, and manual override flows were designed for operators.

Outcome

  • Route planning time decreased and lower-fuel recommendations became available.
  • Plans could be updated faster with real-time signals.
  • Operations teams gained explainable AI suggestions with room for human control.

Technology Stack

AIOptimizationPythonReal-time

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