Back to AI Use Case StudioPlanned
Use Case
Store Energy Optimiser
Optimise HVAC, lighting and refrigeration against weather and trading patterns.
Value chainStore OperationsObjectiveReduce CostAI typeAgentKPIEnergy −12%Value£180KFeasibilityMedium
Dependencies
Asset & IoT, Store, Location & Weather
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
Optimise HVAC, lighting and refrigeration against weather and trading patterns.
Business Objective
Reduce Cost
Data Required
Asset & IoT, Store, Location & Weather
AI
Agent — Store Energy Optimiser
Decision
KPI: Energy −12%
Action
Store Operations systems
Outcome
£180K value
Business outcomes
- Primary KPIEnergy −12%
- Estimated annual value£180K
- Strategic objectiveReduce Cost
- Value chain stageStore Operations
Type of AI
AgentAutonomous decisioning that takes action across systems within guardrails.
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
Location & Weather
ExternalGeospatial, footfall, events and weather signals that shape local demand.
Typical sources
Met OfficeGoogle PlacesEvent APIs
Related use cases
Same value chain or business objective.