The shortest path is rarely the best plan
Logistics teams do not optimize for distance alone. They balance customer commitments, vehicle capacity, driver availability, and changing route conditions that can invalidate a naive plan almost immediately.
Constraints create the real problem
Once time windows, stop order rules, and handoff requirements appear, the search space grows quickly. That is why routing remains an optimization problem instead of a simple mapping problem.
Qtangl focuses on actionable route outputs
The product story is straightforward: submit the route problem, evaluate feasible plans through the solver workflow, and return the best operational route package for the team to execute.