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Energy Deployment

Field Service Scheduling Operations System

Same-day service cancellations reduced from ~17% to ~9%.

Pilot Duration
6 weeks
Measurement Window
12 weeks
Status
Production
Methodology
Audit-Ready

Client Context

Solar installation and maintenance company managing 22 technicians.

Operational Problem

  • Manual scheduling created uneven technician workloads and appointment delays.

Operational Workflow

Before Deployment

  • Manual intake
  • Spreadsheet tracking
  • Delayed operational response
  • Fragmented visibility

After Deployment

  • Structured intake engine
  • Automated prioritisation
  • System-driven routing
  • Operational visibility dashboard

Deployment Timeline

Pilot

Initial deployment on scoped process.

Measurement

Tracking against baseline.

Scale

Full production rollout.

Operational Impact

Same-day cancellation rate
Improved reliability
~17%
~9%
Scheduling admin workload
Reduced coordination
~70%
~38%
Technician visits per day
Improved utilisation
3.1
3.6

Metrics measured during the first full quarter post-deployment against a four-week pre-deployment baseline.

Scope Limitations

Commercial service scheduling excluded.

Business Impact

Technician workloads became more evenly distributed.

What Stayed Human

  • Technical diagnostics
  • Repair decisions

What We Learned

Technician skill routing was necessary for scheduling accuracy.

Related Deployments

If your team is managing a similar operational problem, we scope a pilot in 2–3 weeks.

The pilot is production-safe and measured against your operational baseline.