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AI USE CASE
Field service scheduling optimisation
Auto-build technician schedules that maximise jobs-per-day while honouring SLAs.
What it is
An optimisation model builds daily routes and assignments factoring in skills, parts on the van, traffic and SLAs.
Data you need
Job history, technician skills, parts inventory, location data.
Required systems
- erp
- project management
Why it works
- Build trust with dispatchers in a 30-day shadow run
- Constrain re-optimisation to morning briefing
How this goes wrong
- Dispatchers ignore optimised plans and revert to spreadsheets
- Live re-optimisation creates job churn
When NOT to do this
Don't deploy if your team is under 10 technicians, manual scheduling stays cheaper.
Example vendors
This page describes an idea. It gives no budget or timeline: those depend on your company. The free diagnostic tells you which ideas fit your situation.