E.ON: AI-based object recognition for efficient field maintenance
How E.ON modernised annual network-infrastructure inspections with Dropslab’s AI object recognition: 80% fewer errors and 15% faster maintenance cycles.
E.ON is a German energy provider with a wide range of products and a complex outdoor infrastructure. Field-service technicians have to inspect every cable distributor with NH fuses across the network annually — a tedious, paper-based process where the specifications of each device cannot always be known by every employee.
Inefficiencies and quality losses caused by gaps in service expertise, process knowledge and access to information were leading to unplanned outages, avoidable downtime and excess resource consumption. E.ON turned to Dropslab Technologies to digitise the maintenance workflow.
Results
- 80% — fewer errors
- 15% — process time reduced
- 40% — cost savings
What was achieved
- AI-based object recognition identifies the correct distributor model on sight — no manual lookup
- Step-by-step guided checklist tailored to the device in front of the technician
- Inspection results are captured digitally and synced back to the central maintenance system
- New technicians are productive on day one, without years of accumulated tacit knowledge