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Use Case
Demand Forecasting
SKU-store-day forecasts that drive replenishment, allocation and labour planning.
Value chainSupply ChainObjectiveImprove MarginAI typeModelKPIStockouts −22%Value£620KFeasibilityMedium
Dependencies
Unified Sales, Inventory, Promo calendar
Feasibility
Medium — needs targeted data & integration uplift
Recommendation
🔬 Pilot — expand to top 3 categories
AI deployment flow
How signal turns into outcome for this use case.
Insight
Forecast SKU-store-day demand to cut stockouts and overstocks
Business Objective
Improve Margin
Data Required
Sales, Inventory, Product, Location & Weather, Promotion
AI
Model — Demand Forecasting
Decision
KPI: Stockouts −22%
Action
ERP, WMS, Allocation
Outcome
£620K value
Business outcomes
- Primary KPIStockouts −22%
- Estimated annual value£620K
- Strategic objectiveImprove Margin
- Value chain stageSupply Chain
Type of AI
ModelPredictive or generative model that scores, forecasts or generates content.
Action surfaces
ERP, WMS, Allocation
Data sources required
Unified domains powering this use case via Xfuze.
Sales
Sales & CommerceEvery transaction line across stores, web, marketplace and wholesale — the canonical ledger.
Typical sources
POSEcommerceMarketplacesOMS
Inventory
InventoryReal-time stock by SKU, location and state — on-hand, in-transit, reserved, damaged.
Typical sources
WMSERPPOS3PLRFID
Product
ProductMaster catalogue, attributes, hierarchies, imagery and rich content across all channels.
Typical sources
PIMDAMERPSupplier feeds
Location & Weather
ExternalGeospatial, footfall, events and weather signals that shape local demand.
Typical sources
Met OfficeGoogle PlacesEvent APIs
Promotion
Pricing & PromotionOffer mechanics, coupon codes, allocations and uplift measurement.
Typical sources
Promo enginePOSEcommerceESP
Related use cases
Same value chain or business objective.