Your next customer is asking an AI
to find them the perfect store.
Will it find yours?
AI agents are already shopping. Most stores get skipped or misread.
RetailAgentOS is the layer that makes your store readable — and sellable — by AI shopping agents.
Extends Google's open Universal Commerce Protocol.
⚠ Today, Without RetailAgentOS
An AI shopper searches for a personalized Father's Day T-shirt under $50, shipping to California.
What they surface instead
TheCustomHubSara's BoutiqueYou
“”
This is what AI-visible commerce looks like. Most stores are invisible to this query today.
Discovery is just the start.
Getting found is only the first gap. Pricing, buyer qualification, and fulfilment break down for agents too — and they break differently for every kind of retailer.
Every retail tier has a blind spot.
That's exactly what RetailAgentOS is being built to fix.
Sara's Boutique
Sara has beautiful handcrafted products. AI shopping assistants never recommend them — she has no machine-readable way to declare what she sells or who it is for.
With RetailAgentOS, Sara declares her catalog once. Any agent helping a shopper find personalised gifts now finds her.
B&T Wholesale
B&T's tiered pricing and buyer qualification rules were invisible to agents. Buyers were quoted the wrong price, and unqualified buyers saw listings they couldn't purchase.
RetailAgentOS enforces qualification gates and volume pricing automatically. Agents always quote the right tier to the right buyer.
Fresh Corner Market
Customers ordered items for shipping that Fresh Corner only delivers locally. Weekly promos weren't visible to agents at checkout time.
RetailAgentOS surfaces promos in real time and blocks unavailable fulfilment modes before the buyer wastes a trip.
How it works
Three steps between a broken agent interaction and a correct one.
Merchant declares rules
Pricing context, buyer qualification, fulfilment constraints, and promo logic — all declared once in a structured, machine-readable profile.
Agent reads and reasons
The agent evaluates the merchant profile against the buyer's context — who they are, where they are, how they want to receive their order.
Commerce happens correctly
The right products surface to the right buyers at the right price. Checkout, a quote, a WhatsApp handoff — whatever the context calls for.
Where RetailAgentOS fits
UCP provides the rails. But agents still can't reason about a merchant's rules. That's the gap RetailAgentOS fills.
Merchant rules become machine-readable — eligibility, contextual pricing, visibility, fulfilment constraints, and the next correct action.
Agents can't reliably read a merchant's rules — who is eligible, what price applies, what fulfilment is valid, what action to take.
Discovery · Catalog · Cart · Checkout handoff. Interoperability for commerce systems.
Who's behind this — and why it took a retail operator to build it
For 15 years I've worked in retail technology — close to the systems stores actually run on, and the messy reality of modernizing them without the customer ever noticing. That experience is the whole idea here: meet a store where it is, and change what's underneath without breaking what's already working.
Millions of merchants on Shopify, Etsy, Amazon, and Walmart Marketplace — custom apparel sellers, local boutiques, specialty food stores, niche wholesalers — pay steep platform fees and give up a cut of every sale, and in return they get a storefront but not control: over who sees their catalog, who gets quoted which price, who qualifies, or how their fulfillment rules are read outside the platform's walls. That was manageable when humans were clicking. AI agents shopping on behalf of buyers will make it critical, because an agent can't read rules locked inside a platform it can't reach — so the merchant pays the platform tax and still gets left out of the next commerce layer.
Every previous shift — mobile, voice, social — got built for the big players first, and small merchants got the integration years later, at a price, inside a new lock-in. RetailAgentOS is the bridge: declare your rules once, keep selling, and let your existing store join agentic commerce without rebuilding anything.
I'm building it in the open, on my own time — and not as a walled-off product, but as shared, open specs for how AI agents read a store, that the whole retail community, from independent shops to enterprise, can carry forward toward real standards. I honestly don't know yet whether merchants will configure this layer themselves or whether platforms need to absorb it invisibly — and I'd rather find that out in public than guess in private.
You've seen the problem. Pick your path.
RetailAgentOS is the bridge — declare your rules once, and every agent that shops for your customers can find you.