Decisions priced before they are made.
Many of the hardest routing problems are caused before routing even begins. Decisions made upstream (where depots sit, how territories are drawn, which days customers are promised, what vehicles are in the yard) only reveal their true cost when the final routes are built.
A strategic study isolates each upstream choice and runs it on the production engine against the order stream, pricing depot closures, fleet mix, territory redesign and peak weeks before you lock them in. Studies are delivered directly or through consulting partners. The results below are a sample.
4,721 visits, none dropped
2,920 stores across 106 territories over ten days, planned in about 15 minutes with the compute fanned out.
About 8% cost saving
1,130 orders, one 15-minute default solve, no tuning. Percentage only; the baseline is self-reported.
Collections where the roads run out
A 2021 proof of concept for sample collection across rural clinics.
735 of 735 collections
A dense street round sequenced in full, with side-of-road rules respected and no illegal U-turns.
5 to 25% transport cost saving
45,000 customers, 250 vehicles. Scenario-dependent.
10% less distance, two fewer vehicles
220 customers, 30 vehicles, against the incumbent system.
15% overall saving against base case
54,000 orders and 150 vehicles, with a further 1.2% from merging eight territories into four, and 3% from merging them into one.
12 to 38% less distance
2,500 streets, 10,000 segments. Feasibility study across scenarios.