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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. Field teams complete 15–25% more jobs per day and customer SLA compliance climbs above 95%.
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.
Vendors to consider
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