The problem
Why this decision becomes expensive without structure
Field service companies waste 20-40% of technician time on travel. Manual routing misses skill matching, time windows, and vehicle constraints.
Spreadsheets and manual planning break down when constraints interact. Generic AI tools lack the structural matching needed to produce usable, reviewable outputs. This use case needs a decision workflow that fits the problem shape, not a one-size-fits-all answer.
Typical use cases
Where this solution fits
Assign skilled technicians to jobs matching their certifications
Respect customer time windows while minimizing drive time
Plan routes for mixed fleets (vans, trucks, specialized vehicles)
Handle same-day emergency insertions without disrupting the plan
Outputs you receive
Decision-ready outputs for this use case
Mongeflow packages this work into stakeholder-ready output layers and premium export formats.
Benchmark context
18% cost reduction
Braekers et al. (2016) EJOR
Where this solution is used
Related industries
See this workflow inside Mongeflow
Explore how Mongeflow turns this operational problem into a structured decision path with clearer outputs, assumptions, and handoff.