AI shopping agents are starting to discover products, build carts, and authorize payment on a buyer's behalf — through open protocols, not a single vendor's app. eComchain is engineering B2B2C commerce for manufacturers and distributors to be reachable by those agents from day one, not retrofitted later.
Most commerce platforms treat MCP, UCP, AP2, and ACP as a checklist. They're not parallel choices — they stack. Here's how eComchain reads the layer, and where each one does its job.
We're building this in the order the protocol stack actually depends on itself — not the order that's easiest to announce.
Expose eComchain catalog, order, and pricing data through an MCP server, so any AI agent — a buyer's, a dealer's, or ours — can query it directly.
In progressPublish a UCP manifest per storefront so shopping agents can discover live inventory and pricing and assemble a cart without scraping a page.
PlannedSupport signed Intent, Cart, and Payment mandates so an agent-initiated B2B order carries proof of buyer authorization end to end.
PlannedAdd ACP-compatible discovery for buyers researching inside chat assistants, wrapped as an MCP tool so it doesn't fork the integration.
PlannedA buyer's agent, a dealer's agent, and eComchain's own AI agents negotiate and transact directly — replenishment and reorder without a human clicking "buy."
PlannedMost agentic commerce coverage today is written for B2C retail — a consumer's shopping agent buying sneakers. Almost none of it addresses B2B2C: a dealer's procurement agent reordering parts, or a distributor's replenishment agent negotiating directly with a manufacturer's agent.
That's exactly the transaction pattern eComchain already runs — dealer portals, contract pricing, ERP-synced inventory. Protocol readiness here isn't a retail feature bolted on. It's the natural next layer on infrastructure you're already using.