Supply Chain Optimization System
Implemented an AI-driven supply chain optimization system that reduced costs by 22% and improved delivery times by 30%.
Logistics Pro's routing and inventory decisions were based on static rules that couldn't adapt to real-time demand and traffic conditions, leading to excess costs and inconsistent delivery windows.
We implemented a machine learning system that continuously optimizes routing and inventory placement based on live demand signals, deployed on PostgreSQL and Docker for scalable, reliable operation.
The optimization system reduced logistics costs by 22% and improved on-time delivery performance by 30%, with the models continuing to improve as more operational data flows in.
Client
Logistics Pro
Category
AI Solutions
Technologies
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