MBA
Basket AI: four named agents (eight MCP tools)

Mined patterns,
not guessed ones.

Every rule comes with a support score, a confidence score, and a lift score. Agents and humans can both audit any recommendation back to the orders it came from. No black box. No vendor magic.

First-party by design. Your data stays in your store. No pooled training models.

$49/month flat · No usage caps · BYO LLM key

Pizza ovenPizza peel
83% confidence4.20× lift1.2% support
Pizza ovenInfrared thermometer
41% confidence2.80× lift0.8% support
Pizza peelPizza stone
67% confidence3.10× lift1.5% support
4 mining engines: FP-Growth, SQL pairs, HUI, AI catalog
5 platforms: Shopify · BigCommerce · WooCommerce · Magento · OroCommerce
Basket AI: 4 named agents, 8 MCP tools
The moment

Agentic commerce just became the operating model

At Adobe Summit 2026, Adobe blessed open MCP as the standard for the agentic-commerce wave, partnering with Anthropic, OpenAI, Google, and Microsoft. AI traffic to US retail grew +269% YoY in March 2026. The platform layer is being agent-ified. The question becomes: what does the agent recommend?

Platform layer

Adobe Commerce MCP, Salesforce, others

Exposes catalog, cart, pricing, inventory, checkout to agents. Tells the agent what's available.

Intelligence layer (us)

MarketBasketAnalysis MCP

Exposes co-purchase intelligence as agent-callable tools. Tells the agent what to suggest: recommendations, kit completion, basket cohesion, quote-bundle proposals.

Reasoning layer

Claude, GPT, Cursor, Cline, your agents

Composes both layers to drive the workflow: shopping assistant, sales-rep agent, RFQ drafter.

AI agent traffic

+269%

YoY to US retail, March 2026

MCP tools we ship

8

Grouped into Basket AI's four named agents

Platforms supported

5

Shopify, BigCommerce, WooCommerce, Magento, OroCommerce, same intelligence

How It Works

From raw orders to revenue-generating bundles

Three stages: Analyze your order history to find patterns, Score those patterns by revenue and profit potential, and Act by creating bundles you can push to your storefront. All three stages run locally inside your store. Optional AI features call your own Anthropic or OpenAI key, never our servers.

Not another upsell widget.

This is a bundle and kit creation engine, powered by your real transactions.

Typical Upsell Apps

  • Frontend-only
  • Black box
  • Optimizes clicks

Manual Merchandising

  • Time-consuming
  • Guesswork
  • Hard to measure

Market Basket Analysis

  • Creates bundles/kits
  • Profit-ranked
  • Explainable + reports
Why MBA

More than an upsell widget

Purpose-built for operators who need transparency, control, and profit-aware automation.

Creates Bundles & Kits

Goes beyond simple recommendations. Creates actual catalog products with SKUs, pricing strategies, and inventory settings.

Profit-Aware Scoring

Opportunities ranked by estimated profit lift with margin floor protection. Never sacrifice margin for volume.

Explainable Metrics

Every recommendation backed by support, confidence, and lift scores. Audit-friendly logs and transparent decision-making.

Time Windows & Trends

Compare 30-day vs 90-day windows. Spot emerging opportunities and declining patterns before they impact revenue.

Admin-Native, Privacy-First

Built into the admin you already use across Shopify, BigCommerce, WooCommerce, Magento, and OroCommerce. Local data processing by default. AI features are bring-your-own-key: Anthropic or OpenAI, billed direct to your provider account.

Reports for Stakeholders

Executive summaries, bundle pipeline reports, and margin impact analyses. Export as PDF, CSV, or JSON.

FAQ

Frequently asked questions

Everything you need to know about market basket analysis and how this module works.

Ready to turn your order data into revenue?

Install on your platform in under 10 minutes. Or book a consulting call and we'll do the launch for you.