Consumer Retailer Business Information Model

This business information model lays out the data entities behind a consumer retail business — the products, customers, stores, and transactions that merchandising, store operations, and e-commerce all need to agree on. It organizes entities into foundational (reference and master data), transactional (sales and inventory activity), and informational (customer and merchandising insight) categories, and maps the relationships between them. Delivered as an editable Word document.

Where Off-the-Shelf Retail Models Fall Short

Retail's merchandise hierarchy runs deeper than a generic "Product" entity — department, class, subclass, style, and SKU each carry their own attributes, and a single style can fragment into dozens of SKUs by color and size that still need to roll up cleanly for planning and reporting. Price isn't an attribute of a product; it's its own entity with time-bound, channel-bound, and location-bound relationships — regular, promotional, clearance, price zone — and treating it as a single field breaks the moment zone pricing or a promotion calendar enters the picture. Customer identity is genuinely fragmented across loyalty membership, guest checkout, and in-store payment matching, and resolving those into one customer record is a probabilistic many-to-many relationship, not a clean lookup. Inventory has to be tracked by product, location, and state at once — on-hand, in-transit, on order, reserved for pickup — a three-way relationship a single quantity field can't hold.

Document Contents

• Foundational entities — products, merchandise hierarchy, stores, vendors, customers
• Transactional entities — orders, transactions, shipments, returns, inventory movements
• Informational entities — pricing and promotions, customer and loyalty data, assortment and planogram data
• Entity relationships connecting merchandising, store, and customer data
• Editable Word format — adapt entities to your own retail data architecture

Common Uses

• Scope master data management for product, pricing, and customer data across channels
• Align data architecture for omnichannel initiatives spanning stores, e-commerce, and fulfillment
• Define integration requirements between POS, inventory, and loyalty/customer systems
• Support customer identity resolution and personalization data initiatives

Who It's For

Made for data architects, business architects, and IT leaders at retailers who need merchandising, store, and customer data connected in one model rather than assembled from a generic retail template.