Back to AI Use Case StudioPlanned
Use Case
Smart Order Promising
Optimise ship-from-node and promised delivery date to balance cost, speed and CO₂.
Value chainSupply ChainObjectiveImprove MarginAI typeAgentKPIFulfilment cost −8%Value£290KFeasibilityMedium
Dependencies
Order, Inventory, Logistics, 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
Optimise ship-from-node and promised delivery date to balance cost, speed and CO₂.
Business Objective
Improve Margin
Data Required
Order, Inventory, Logistics, Store
AI
Agent — Smart Order Promising
Decision
KPI: Fulfilment cost −8%
Action
Supply Chain systems
Outcome
£290K value
Business outcomes
- Primary KPIFulfilment cost −8%
- Estimated annual value£290K
- Strategic objectiveImprove Margin
- Value chain stageSupply Chain
Type of AI
AgentAutonomous decisioning that takes action across systems within guardrails.
Action surfaces
Supply Chain systems
Data sources required
Unified domains powering this use case via Xfuze.
Order
Sales & CommerceFulfilment lifecycle of every order — promised dates, allocations, splits and exceptions.
Typical sources
OMSWMSTMSCarrier APIs
Inventory
InventoryReal-time stock by SKU, location and state — on-hand, in-transit, reserved, damaged.
Typical sources
WMSERPPOS3PLRFID
Logistics
Supply & LogisticsInbound and outbound movement — carriers, lanes, costs, emissions and SLAs.
Typical sources
TMSCarrier APIs3PL
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.