Your buyer's agent is going to ask for substitutes. Give them an answer.
B2B procurement is shifting agent-first faster than consumer commerce. Your customer's purchasing agent reads your catalog, builds requisitions, asks about substitutes when something's backordered. MarketBasketAnalysis exposes the data layer those agents need: quote-bundle proposals, ranked substitutions, basket-cohesion scoring. Basket AI: four named agents over eight MCP tools, plus a REST API. Compatible with Adobe Commerce, Magento Open Source, BigCommerce B2B Edition.
(15-minute demo with the founder)
Why this fit
Your typical industrial customer used to call a sales rep and dictate a PO. Now their procurement system is increasingly agentic, building requisitions from prior buys, querying your catalog through MCP, expecting machine-readable substitute lists when SKUs are unavailable. Most commerce platforms expose catalog search to those agents and call it a day. We expose the per-customer cohesion data buyer-side agents actually need to assemble the right requisition without escalating to a human salesperson.
The right primitives for the job
MCP-ready quote bundles
propose_quote_bundle MCP tool: given the seed SKUs in an RFQ, returns a fleshed-out bundle with cohesion score plus complementary line items. Used by Claude Desktop, Cursor, Cline, OpenAI Agent SDK, Anthropic Claude with MCP enabled.
Substitution lookup
Your customer's agent reads "SKU 4471-A out of stock." Next call is find_substitutes(4471-A) and it gets a ranked replacement list with similarity scores and reason codes. No human escalation. No abandoned line item.
Per-customer pattern mining
Different accounts buy different requisition patterns. Your fleet-maintenance customer's pattern differs from your manufacturing customer's. Mining segments by account and surfaces account-specific cohesion rules, not store-wide averages.
Adobe Commerce B2B integration
Native module hooks into the Magento + Adobe Commerce B2B requisition list flow. Quote-bundle proposals appear inline when a buyer or agent assembles a requisition. Substitute lookup integrates with the RFQ workflow.
Account-data sovereignty
Mining runs locally on your Adobe Commerce / Magento install. Your B2B account-level data never leaves your server. Critical for regulated industries (medical, chemical, defense supply) where SaaS recommendation engines are non-starters.
Bring-your-own LLM key
AI features for bundle naming + RFQ copy use your own Anthropic or OpenAI key. We never proxy or store the inference responses. Adobe Sensei does the inverse and charges $50K/yr for it.
What you skip
The friction we're explicitly cutting out.
- Per-impression billing on your buyer-portal traffic
- Revenue share on bundled wholesale orders
- Adobe Sensei GenAI's $50K-$500K/yr price tag for the same capability
- Sending procurement-pattern data to a third-party cloud
- Re-curating bundle suggestions every quarter as your product mix shifts
Want the full buyer's guide?
Three free guides cover the math + the vendor landscape: agentic-commerce in 2026, MBA vs Bloomreach, and the pricing math vs the Glood / Rebuy / PickyStory cluster.
Browse the resource hubBuyer-side agents are reading your catalog. Make sure your data is structured.
$49/month flat per merchant. Native Adobe Commerce / Magento module. BigCommerce B2B Edition and OroCommerce both shipped, same rules layer across all of them. Basket AI: four named agents over eight MCP tools any procurement agent can call. No usage caps, no rev share, no demo-gate.
Book a B2B walkthrough