Operations that route themselves
a national logistics operator
annual savings
fewer miles driven
more on-time deliveries
Dispatchers planned thousands of daily routes by hand, reacting to traffic, weather, and last-minute orders. Decisions varied by shift and depended on individual experience. Fuel and overtime costs climbed while service windows slipped. Leadership needed routing that adapted in real time without replacing the judgment of seasoned operators.
How we approached it
Audited historical routes and cost drivers to quantify where manual planning lost money.
Built an optimization engine that ingests live orders, traffic, and constraints to propose routes.
Kept dispatchers in the loop with override controls and clear explanations for each suggestion.
Deployed region by region, comparing engine-planned routes against baselines before scaling.
“We stopped firefighting every morning. The engine handles the math, my dispatchers handle the exceptions, and our service numbers finally moved the right way.”
No. The engine proposes routes and dispatchers approve or override them, so human judgment still governs exceptions while the system handles the heavy optimization.
The first regions showed measurable mileage and overtime reductions within the first full quarter, before the rollout reached the rest of the network.
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