Agent-to-agent commerce
Counteroffer is a sales agent for your store that talks to AI shopping agents in real time. It offers bundles, shipping, and loyalty perks within the limits you set, and closes deals a static catalog would lose.
A shopping agent can check dozens of stores in seconds. If your listing isn't the best fit on paper, it moves on.
A fixed price and a fixed shipping option is a take-it-or-leave-it offer. Agents leave it.
Agents can already read catalogs and pay. What's missing is someone on your side of the counter to make a deal.
Price floors, margin targets, which bundles and perks are on the table, and when a person should approve a deal.
Point Counteroffer at the products, inventory, and promotions you already have.
It answers shopping agents, proposes offers, and closes within your limits. Every deal is logged with the full conversation.
Before launch, Counteroffer runs your sales agent against simulated shoppers with different budgets, urgency, and tactics. You see where it gives away margin and where it loses sales, then tighten the limits before real money is on the line.
| Simulated shopper | Outcome |
|---|---|
| Firm budget, flexible on timing | Closed with slower shipping |
| Wants a bundle discount | Closed above margin target |
| Repeated lowball offers | Held the floor, no sale |
| Claims a competitor price | Matched without checking. Rule needed |
Price floors and margin rules are enforced outside the model, so no conversation can talk it past them.
Read the full exchange behind each sale, including what was offered and why.
Send large orders or unusual terms to your team before anything is promised.
Negotiation runs on Anthropic's Claude models.
We're opening early pilots for a small group of merchants.