Predictive maintenance across a 2,400-vehicle fleet
Telematics-driven failure prediction shifted a commercial fleet from scheduled to condition-based maintenance.
Category: Case study
Warranty claim analysis that identified a defect 5 months early
Pattern detection across warranty claims surfaced an emerging component defect before it became a recall.
Cutting vehicle validation report time by 68%
Test data from autonomous driving trials was compiled into validation reports automatically.
Balancing labour across shifts with predictive volume planning
Volume forecasting matched staffing to actual workload, reducing both overtime and idle time.
Automating inbound receiving documentation
Receiving paperwork was processed automatically from supplier documents, cutting dock congestion and data errors.
Cutting warehouse onboarding time from 3 weeks to 5 days
On-demand procedural guidance let new warehouse staff reach productivity faster with fewer errors.
Inventory accuracy from 82% to 98% without full stock counts
Continuous cycle-count targeting focused counting effort where discrepancies were most likely.
Reducing pick travel distance by 31% with dynamic slotting
Continuous slotting optimisation placed fast-moving items closer to dispatch, cutting picker walking time.
Building a single view of inventory across 9 systems
Inventory data was consolidated and cleaned continuously, ending the disputes over what stock actually existed.
Cutting expedited freight spend by 38%
Earlier visibility of supply gaps allowed standard shipping decisions instead of last-minute air freight.