MBA vs Sana Commerce AI Recommendations
ERP-native B2B recommendations built into Sana Commerce Cloud, mining online and offline order history straight from SAP and Microsoft Dynamics.
When MBA wins
If you want explainable co-purchase rules you can inspect and tune in-admin, an agent-native API/MCP surface, real-SKU bundles and A/B testing, or you run Shopify, BigCommerce, WooCommerce, Magento, or OroCommerce rather than the full Sana platform, MarketBasketAnalysis wins.
When Sana Commerce AI Recommendations wins
If you already run (or are buying) Sana Commerce Cloud on SAP or Microsoft Dynamics and want recommendations that pull customer-specific pricing, contract terms, and combined online plus offline order history natively from the ERP, Sana is the natural fit.
Feature comparison
Color-striped rows favor MBA, Sana Commerce AI Recommendations, or are even. We mark each so you can scan for the trade-offs that matter to you.
| Feature | MBA | Sana Commerce AI Recommendations |
|---|---|---|
| Recommendation method | Six explainable engines (SQL pairs, FP-Growth default, profit-aware HUI, AI cold-start) emitting support, confidence, and lift | In-house data-mining algorithm over ERP order history; method and outputs are not exposed to merchants |
| Rule transparency and tuning | Every rule is inspectable in-admin with its support/confidence/lift, and can be reviewed or overridden | Recommendations are generated automatically; no documented per-rule explainability or in-admin tuning |
| ERP and offline order data | Mines transactions inside the storefront/install; ERP and offline-order signals require your own data pipeline | Native real-time access to combined online and offline order history, pricing, and contract terms straight from SAP or Dynamics |
| B2B-specific pricing and customer context | B2B-aware mining on OroCommerce and volume/BYOB/BOGO bundle formats; customer-specific ERP pricing must be fed in | Customer-specific pricing, contract pricing, and segmentation read live from the ERP at request time |
| Storefront coverage | Same intelligence across 5 storefronts (Shopify, BigCommerce, WooCommerce, Magento, OroCommerce) on one API contract | Built into the single Sana Commerce Cloud platform; not available as a plugin for Shopify, Woo, Magento, or BigCommerce |
| Agent-native and API access | Public REST API plus a 19-tool MCP server (18 off Shopify) and ACP/agentic-commerce endpoints | Storefront API exists for headless builds, but no published MCP server or agentic-commerce endpoints |
| Merchandising surfaces and experimentation | Real-SKU bundles, substitutions, post-purchase upsell, cart drawer, A/B testing with lift/CI, and Klaviyo/email recs | Recommendations surface within the Sana storefront; no documented native A/B testing with statistical lift reporting |
| Pricing model and entry cost | Flat transparent pricing: free $0 tier, Plus $99/mo (or ~$79/mo on annual), no GMV or revenue-share | Quote-only enterprise licensing for the whole platform; no free tier and high entry cost |
| Data privacy and locality | Mining runs first-party inside the merchant install (Magento/Woo); AI is bring-your-own-key (Oro is a thin hosted client) | Data stays within the merchant's ERP-integrated Sana environment rather than a third-party recs cloud |
Pricing snapshot
MarketBasketAnalysis
Flat, transparent plan pricing: Free ($0) and Plus $99/mo flat (or ~$79/mo on annual). One paid plan, everything in it. These are product plans, not per-platform prices, and the same plans apply across every platform. Metered on capability and compute, never on GMV. No revenue share, no add-ons.
See plansSana Commerce AI Recommendations
Quote-only enterprise licensing for the full Sana Commerce Cloud platform (recommendations are a built-in feature, not sold standalone); no public price list, typically annual contracts commonly cited starting around $10,000/year and scaling with business size.
Visit Sana Commerce AI RecommendationsThe honest verdict
Sana is a full B2B ecommerce platform with recommendations bundled in, while MarketBasketAnalysis is a focused recommendations layer; comparing them is really platform-versus-add-on, and which you pick depends on whether you are also buying a storefront.
Sana's real edge is ERP nativeness: live customer-specific pricing plus combined online and offline order history from SAP or Dynamics, which is genuinely hard to replicate from a storefront-only vantage point.
MarketBasketAnalysis wins on explainability (inspectable support/confidence/lift rules), agent-native access (REST + 19-tool MCP (18 tools off Shopify) + ACP), real-SKU bundles, and A/B testing with statistical lift.
If you are not on Sana Commerce Cloud, MarketBasketAnalysis works across Shopify, BigCommerce, WooCommerce, Magento, and OroCommerce on one API contract, whereas Sana's recommendations only exist inside its own platform.
On cost, MarketBasketAnalysis is flat and transparent (free $0 tier, Plus $99/mo, no revenue share) versus Sana's quote-only enterprise licensing with no free entry point.
Want the full buyer's deep-dive?
This page is the per-vendor short version. For the long version, read “MBA vs Bloomreach” (8 pages on the enterprise-vs-mid-market trade-off) or “MBA vs the widget cluster” (4 pages of pricing math vs Glood, Rebuy, and PickyStory).
Try MBA on your own store
14-day money-back guarantee on all paid platforms. WP.org free tier on WooCommerce. No credit card required for the free path.