Commercial Context.
The shared understanding that makes trustworthy commercial AI possible.
Generic AI sees tables.
Retail teams see the business.
The gap between those two is Commercial Context.
One living commercial model.
Products, stores, customers, promotions, suppliers and inventory — connected, not collected.
Orders, prices, costs, stock, campaigns, customers and returns streaming from every system of record.
Entities resolved and reconciled into one canonical representation of products, customers, channels and locations.
Hierarchies, substitutions, bundles, funding and channel economics — how the parts of your business affect each other.
The reasoning surface every Tinkery agent and recommendation runs on, with definitions, history and lineage attached.
What the context layer actually holds.
Unified commercial model
One canonical graph of products, variants, customers, stores, channels, suppliers and campaigns.
Semantic relationships
Substitutes, complements, bundles, hierarchies and channel overlaps modelled explicitly, not inferred by guesswork.
Business definitions
Your definition of margin, sell-through, active customer and full price — encoded once and applied everywhere.
Metrics
Governed commercial metrics with landed cost, promo funding, returns and fulfilment attached to every SKU-channel-day.
Historical context
Full history preserved so seasonality, prior promotions and past decisions can be replayed and audited.
Real-time synchronization
Continuous reconciliation across ERP, commerce, CRM and warehouses — hours, not quarterly refreshes.
Plausible answers with no grounding in your economics, your definitions or your commercial reality.
Every recommendation is grounded in one trusted commercial model — explainable, auditable and safe to act on.
See your business through one model.
We map your systems, build the commercial context layer and show you what AI can reason about once it finally understands your business.