Make AI commerce reliable
across every merchant on your platform.
RetailAgentOS turns different merchant policies into consistent, explainable answers that shopping agents can use before they create an invalid cart.
When the customer needs it now, “probably available” is not enough.
RetailAgentOS helps platforms verify merchant-side availability, pricing, acceptance windows and fulfilment constraints before combining them with live delivery signals.
See the late-night pizza scenarioIn plain terms
Every merchant on your platform has different rules for who can buy what, at what price, and how it can be fulfilled. Today, AI agents either guess at those rules or your platform reimplements them per merchant. RetailAgentOS gives you one decision layer that reads each merchant’s own declared rules and returns the same kind of answer every time — so agents stop guessing and merchants stop writing one-off exception code.
What this is worth operationally
Reduce invalid carts and late checkout failures
Reduce merchant-specific exception logic
Standardize how AI agents ask commerce questions
Return explanations instead of opaque denials
Enable new AI channels without duplicating policy logic
One transaction, four parties
Shopper
Asks an AI agent for something specific through your platform.
Platform
Routes the request toward a merchant on the platform that could fulfil it.
Merchant policy
RetailAgentOS evaluates that merchant’s own eligibility, pricing and fulfilment rules.
Consistent answer
The platform gets a decision and a reason, in the same shape regardless of which merchant answered.
Build once, support many merchant models
A boutique, a wholesaler and a grocer have very different rules — but your platform integrates the same decision contract for each. New merchant types don’t require new platform-side logic; they declare their own rules and RetailAgentOS evaluates them.
Integration boundaries
A decision and translation layer — not a replacement for your platform’s core systems.
What RetailAgentOS consumes
Merchant-declared catalog, pricing, eligibility and fulfilment rules, plus buyer and transaction context supplied by the platform.
What it decides
Whether a buyer is eligible, what price applies, whether inventory and fulfilment mode are feasible, and whether a quote can be honored.
What it returns
A structured decision with a machine-readable reason — usable directly by an AI agent, a checkout flow, or a support tool.
What remains in existing systems
Payments, order management, merchant onboarding, catalog ingestion and platform-level trust and safety stay exactly where they are today.
Current maturity and limitations
Eligibility, contextual pricing, inventory and quote integrity are built and tested — 328/328 automated checks pass today. There is no live MCP transport, no agent authentication or rate limiting, and no persistence or multi-tenant production infrastructure yet — those are explicit non-goals of the current reference phase. One merchant pilot integration is in progress; none has shipped. We have not measured conversion impact — no pilot data exists yet.
See the public scorecard →Ready to test a real merchant-rule problem?
Bring one rule that creates invalid carts or platform-specific exceptions.