Back to AI Use Case StudioPlanned
Use Case
AI Assortment Planning
Cluster stores and recommend assortment by attribute, trend and local demand.
Value chainPlan & BuyObjectiveImprove MarginAI typeModelKPIFull-price sell-through +4ppValue£330KFeasibilityMedium
Dependencies
Product attributes, Sales history
Feasibility
Medium — needs targeted data & integration uplift
Recommendation
📅 Planned — Q4 build
AI deployment flow
How signal turns into outcome for this use case.
Insight
Recommend assortment by attribute, trend & local demand
Business Objective
Improve Margin
Data Required
Product, Sales, Customer, Store, Competitor & Market
AI
Model — AI Assortment Planning
Decision
KPI: Full-price sell-through +4pp
Action
Range planning, PIM
Outcome
£330K value
Business outcomes
- Primary KPIFull-price sell-through +4pp
- Estimated annual value£330K
- Strategic objectiveImprove Margin
- Value chain stagePlan & Buy
Type of AI
ModelPredictive or generative model that scores, forecasts or generates content.
Action surfaces
Range planning, PIM
Data sources required
Unified domains powering this use case via Xfuze.
Product
ProductMaster catalogue, attributes, hierarchies, imagery and rich content across all channels.
Typical sources
PIMDAMERPSupplier feeds
Sales
Sales & CommerceEvery transaction line across stores, web, marketplace and wholesale — the canonical ledger.
Typical sources
POSEcommerceMarketplacesOMS
Customer
CustomerUnified golden record of every known shopper across channels, identities and households.
Typical sources
CDPCRMLoyaltyEcommercePOS
Store
Store OperationsStore master, clusters, formats, openings, footfall and operational telemetry.
Typical sources
ERPStore opsPeople countersBMS
Competitor & Market
ExternalCompetitor pricing, assortment, share of voice and macro market signals.
Typical sources
Edited/StylumiaSimilarWebNielsenTrend APIs
Related use cases
Same value chain or business objective.