Logistics
Autonomous supply chain management for a global logistics operator
An AI system that autonomously manages inventory, predicts demand, optimises routes and coordinates with suppliers in real time across multiple countries.
- Client
- LogiTech Global
- Industry
- Logistics
- Duration
- 7 months
- Team
- 10 engineers
The challenge
The operator needed to optimise supply chain operations across multiple countries to reduce cost and improve delivery times, without ripping out the warehouse and transport systems already in place.
Our solution
We built an event-driven platform that autonomously manages inventory, forecasts demand, optimises routes and coordinates with suppliers in real time, integrating with existing WMS and TMS systems through a resilient API layer.
Results
30%
reduction in logistics costs
45%
improvement in delivery times
99.5%
on-time delivery rate
Technology
Services used
- AI DevelopmentWe build custom AI features that make it to production and stay reliable there. From LLM applications and RAG to model integration, evaluation and MLOps.
- Backend DevelopmentBackend systems designed for correctness, scale and the day-to-day reality of operating them in production.
- Cloud ConsultingIndependent cloud strategy, architecture and migration guidance grounded in what actually runs well in production.
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