AI & Digital Products
A logistics company wanted a custom platform to optimise route and load planning using their own operational data and constraints.
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Off-the-shelf tools didn’t fit their mix of owned fleet, subcontractors, and last-mile partners, or their real-time re-planning needs. We designed and built a custom optimisation platform: ingestion of orders, capacity, and live traffic; optimisation models for route and load; and a dispatch UI with “what-if” and override. We used a combination of heuristic solvers and ML-based demand and delay prediction so the system could learn from their operations.
The platform went live in one region first; empty miles and fuel costs dropped, and on-time delivery improved. They’ve since rolled it out to two more regions and are using the same core for capacity planning.
Key Outcomes
- ·Reduced empty miles and fuel costs in pilot region
- ·Improved on-time delivery; rollout to two more regions
- ·Same core extended for capacity planning