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AI-driven freight routing across a 120-market network

+18% margin · 4-month rollout

Confidential — global logistics carrier

The challenge

Static rate cards and tribal-knowledge routing left margin on the table on long-haul legs and overpaid on short-haul ones. Pricing changes took weeks to propagate.

Our approach

Built a feature pipeline from existing TMS exports, trained a gradient-boosted pricing/routing model, deployed behind an API the operations team controls. We embedded with their analytics team for the rollout and trained two internal owners.

The outcome

+18% margin on the long-tail of routes, 3× faster pricing updates, and a model the in-house team owns end-to-end.

Have a similar problem?

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