This is like a GPS for your entire fleet and workforce that doesn’t just find a route, it decides who should go where, in what order, and when—automatically juggling traffic, time windows, driver hours, and costs to build the best possible plan.
Manually planning delivery routes and assigning vehicles/crews wastes time, increases fuel and labor costs, and leads to missed time windows and underused capacity. Solvice’s APIs algorithmically optimize routes and schedules so transportation and logistics operations can serve more stops with fewer miles and better on-time performance.
The defensibility likely comes from the depth and robustness of the underlying optimization solvers for routing and scheduling, embedded domain expertise in transportation constraints (time windows, capacities, driver rules), and integration as APIs that can be embedded into TMS/dispatch/workforce platforms, creating sticky workflow integrations.
Classical-ML (Scikit/XGBoost)
Structured SQL
High (Custom Models/Infra)
Combinatorial explosion in vehicle routing and resource scheduling problems leading to high compute time for very large fleets or tight real-time re-optimization SLAs.
Early Majority
Positioned as an API-first optimization engine focused on route optimization and resource scheduling, likely targeting SaaS and platform providers in transportation and logistics that want to embed industrial-grade solvers rather than build optimization engines in-house.