More profit per bundle,
not just more attach.
We rank bundles by margin-weighted profit, not raw attach rate, and show the support, confidence, and lift behind every one. So you can audit each recommendation back to the orders it came from. The whole suite costs less than one single-purpose widget, flat and predictable, with no GMV surprises. Also agent-ready: the same intelligence is callable over MCP. No black box. No vendor magic.
First-party by design. Your data stays in your store. No pooled training models.Free $0 · Plus $99/mo flat · Flat, never metered on GMV · BYO LLM key
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?
Adobe Commerce MCP, Salesforce, others
Exposes catalog, cart, pricing, inventory, checkout to agents. Tells the agent what's available.
MarketBasketAnalysis MCP
Exposes co-purchase intelligence as agent-callable tools. Tells the agent what to suggest: recommendations, kit completion, and basket cohesion.
Claude, GPT, Cursor, Cline, your agents
Composes both layers to drive the workflow: shopping assistant, merchandiser copilot, restock planner.
+269%
YoY to US retail, March 2026
18
Agent-callable Basket AI tools (18 off Shopify), any MCP host
5
Shopify, BigCommerce, WooCommerce, Magento, OroCommerce, same intelligence
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
- Bundles, cart drawer, post-purchase
- Profit-ranked + A/B tested for lift
- Explainable + reports
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.
Analyze Orders
Schedule analysis jobs against your order history. Choose time windows, engines (FP-Growth, SQL pairs, seasonal cohort, return-aware, HUI, or AI catalog, plus a co-occurrence fallback), and set guardrails for safe execution.
Learn more →Score Opportunities
Association rules are ranked by a profit-aware scoring model. See estimated revenue lift, margin impact, and confidence levels at a glance.
Learn more →Create Bundles & Deploy
Turn top opportunities into bundle proposals with pricing strategies. Create catalog products and track performance over time.
Learn more →Three surfaces. One intelligence layer.
One mining engine feeds the admin actions, the storefront widgets, AND the agent / MCP API.
Admin intelligence + bundle builder
- Mining jobs (manual + scheduled + orders-velocity triggered)
- Rules + opportunities grids with filters and live status
- Bundle proposals turn into real catalog bundles with components
- AI-generated bundle copy + multi-currency performance dashboard
- Weekly digest emails + operator overrides per opportunity
Storefront recommendation widgets
- "Frequently Bought Together" widget on the WooCommerce product page
- Shortcode, Gutenberg block, and theme template tag, all from one template
- Powered by precomputed rules. Sub-millisecond fetch
- Hides itself when no rules exist for the source product
Agent skills + API access
- Basket AI: 19 agent-callable MCP tools (18 on non-Shopify platforms), any MCP host
- Tools: get_recommendations, find_substitutes, get_bundle_for_cart, score_cross_sell, analyze_basket, predict_reorder, propose_subscription_bundle
- Public REST API with mintable per-shop API keys
- MCP server (npm: @marketbasketanalysis/mcp)
- One-line setup for Claude Desktop / Claude Code / OpenAI Agent SDK / Cursor / Cline
Conversion surfaces, on all five platforms
The recommendation engine now drives the moments that actually move revenue: the cart, the checkout, the experiment, the bundle. Every one ships on Shopify, BigCommerce, WooCommerce, Magento, and OroCommerce, not just one storefront.
Cart drawer with AOV progress
An opt-in slide-out cart with a free-shipping / AOV progress bar and one to three in-cart recommendation upsells. The upsells recompute as the cart changes, so the next-best add-on is always live.
Merchant A/B testing
Run experiments on the recommendation surfaces with a deterministic control / treatment split. The results dashboard reports impressions, conversions, conversion rate, AOV delta, and lift with a 95% confidence interval via a 2-proportion z-test. The Frequently Bought Together widget is wired end to end.
Post-purchase upsell
After checkout, the thank-you / order-confirmation surface shows ranked recommended add-ons with one-click add. Ungated on the entry tier, on the same co-purchase data as the rest of the engine.
Broadened bundle formats
Beyond real-SKU bundles, pick a bundle format: mix-and-match / build-a-box (BYOB), volume / quantity breaks (tiered), BOGO / Buy X Get Y, and a virtual-bundle render mode that groups existing products with no duplicate SKU.
We can implement this for you in 2-4 weeks.
Get bundles live, priced correctly, and measured, without adding workload to your team.
Bundle Launch Sprint
2–4 weeksCreate optimized bundles, set pricing strategies, and establish a measurement plan.
Learn moreOngoing Optimization
MonthlyRe-mining, seasonal reviews, bundle backlog management, and performance reporting.
Learn moreAdmin intelligence that turns data into bundles
A complete admin surface, shipping today on every supported platform, for discovering co-purchased patterns, scoring opportunities by profit potential, and creating catalog-ready bundles.
Basket AI: 19 agent-callable MCP tools. Any MCP host. One npm install.
Drop our MCP server into the agent host of your choice. One snippet, one restart, 19 agent-callable tools (18 on non-Shopify platforms, where predict_reorder is Shopify-only) the agent can call against the merchant's real co-purchase data. The agent commerce window opened in March 2026. This is our part of it.
{
"mcpServers": {
"marketbasketanalysis": {
"command": "npx",
"args": ["-y", "@marketbasketanalysis/mcp"],
"env": { "MBA_API_KEY": "mba_live_..." }
}
}
}- ShopFind what goes with a product
- ShopReplace an out-of-stock SKU
- ShopComplete the kit for this cart
- ShopValidate a pair before suggesting it
- ShopCheck whether a bundle holds together
- ShopPredict next-purchase dates per product
- ShopPropose a recurring subscription kit
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.
Weekly Action Plan
Every mining run produces a ranked weekly plan: the highest-profit bundles and substitutions to ship next, with bulk Opportunities actions to push them live in one click.
Conversion Surfaces, Five Platforms
The same engine drives an opt-in cart drawer with an AOV progress bar, a post-purchase upsell on the order-confirmation page, and broadened bundle formats (BYOB, volume breaks, BOGO, virtual bundles). All on Shopify, BigCommerce, WooCommerce, Magento, and OroCommerce, not a single storefront.
Measurable Lift, Built In
Merchant-run A/B tests on the recommendation surfaces split traffic deterministically and report impressions, conversions, conversion rate, AOV delta, and lift with a 95% confidence interval via a 2-proportion z-test. Prove the revenue, do not guess at it.
Frequently asked questions
Everything you need to know about market basket analysis and how this module works.
Building your shortlist?
Three free guides break down the math + the vendor landscape. No sales pitch in the middle, the analysis is the product.
Agentic-commerce 2026 buyer's guide
10-page guide. The questions to ask vendors about MCP, agent-callable APIs, and where the buyer-side agents are actually going in 2026.
Read the guideMBA vs Bloomreach (deep-dive)
8-page comparison. When the enterprise platform is the right answer, when a flat-priced alternative wins, and the trade-offs honestly.
Read the guideMBA vs the widget cluster (pricing math)
4-page pricing breakdown. Real numbers on Glood, Rebuy, PickyStory at common GMV bands vs flat MBA pricing.
Read the guideReady 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.