Back to AI Use Case StudioPlanned
Use Case
Predictive Maintenance
Forecast failures on fridges, ovens and conveyors before they disrupt trading.
Value chainStore OperationsObjectiveMitigate RiskAI typeModelKPIUnplanned downtime −40%Value£150KFeasibilityMedium
Dependencies
Asset & IoT, Store
Feasibility
Medium — needs targeted data & integration uplift
Recommendation
📅 Planned — sequence after data & integration uplift
AI deployment flow
How signal turns into outcome for this use case.
Insight
Forecast failures on fridges, ovens and conveyors before they disrupt trading.
Business Objective
Mitigate Risk
Data Required
Asset & IoT, Store
AI
Model — Predictive Maintenance
Decision
KPI: Unplanned downtime −40%
Action
Store Operations systems
Outcome
£150K value
Business outcomes
- Primary KPIUnplanned downtime −40%
- Estimated annual value£150K
- Strategic objectiveMitigate Risk
- Value chain stageStore Operations
Type of AI
ModelPredictive or generative model that scores, forecasts or generates content.
Action surfaces
Store Operations systems
Data sources required
Unified domains powering this use case via Xfuze.
Asset & IoT
Store OperationsFridges, ovens, robotics and sensor telemetry — uptime, energy and maintenance.
Typical sources
IoT platformCMMSBMS
Store
Store OperationsStore master, clusters, formats, openings, footfall and operational telemetry.
Typical sources
ERPStore opsPeople countersBMS
Related use cases
Same value chain or business objective.