Autonomous Supply Chain Optimizer
An AI-driven logistics platform that reduced warehouse-to-door delivery time by 41% for a Fortune 500 retail enterprise across 12 countries.
Overview
Status: client project. Client details are anonymised under NDA. This page documents the engineering approach and measurable outcomes.
A multinational retail group was losing $22M annually to demand forecasting errors and route inefficiencies across 1,400+ fulfillment nodes. We built an end-to-end optimization platform that ingests real-time IoT telemetry, satellite weather feeds and point-of-sale data to continuously re-plan inventory placement and last-mile routing — replacing a manual planning cycle that took three days with a system that adapts every fifteen minutes.
Problem
The client operated a legacy planning system that ran weekly batch optimizations on month-old data. Stockouts in high-velocity SKUs were running at 14%, while slow-movers tied up $180M in dead inventory. Route planning ignored real-time traffic and weather, adding an average of 2.3 hours to every last-mile journey.
Approach
We deployed a streaming feature pipeline that unifies 9 data sources — warehouse sensors, GPS fleet telemetry, weather APIs, port congestion feeds, POS transactions and more — into a real-time decision graph. A hierarchical reinforcement learning model jointly optimizes inventory pre-positioning and dynamic route assignment. The system runs on a Kubernetes mesh across three cloud regions with sub-200ms decision latency and automated failover.
Result
Warehouse-to-door time dropped by 41% within the first 90 days. Stockout rate fell to 3.2%, freeing $47M in working capital. The platform now processes 2.8 million routing decisions daily and has been extended to the client's B2B wholesale division.
“They rebuilt our planning cycle around live data instead of last month's exports. For the first time our operations team and our planners are working from the same numbers, at the same time.”
Marta Reinholt
VP Supply Chain Operations · Global retail enterprise