Outfit completion, not cart stuffing.
Fashion bundles are the hardest commerce-rec problem: the wrong cross-sell reads as desperate, the right one closes the look. MarketBasketAnalysis mines your real order history to find the pairings your customers actually complete the outfit with, ranks them by margin lift, and lets your merchandiser override anything they hate before the bundle ships.
(Shopify, Magento, WooCommerce)
Why this fit
Fashion AOV depends on outfit completion: pants + top + accessory, dress + bag + earrings, hoodie + matching joggers. Generic recommendation widgets pair by similarity (more pants when the customer just bought pants) instead of by completion (the bag that finishes the dress). Our mining engine surfaces the completion patterns your customers actually exhibit, the high-margin accessory pairings that drive AOV, and the cohorts where a 15% bundle discount converts vs. where it would compress margin without lifting revenue.
The right primitives for the job
Outfit-completion mining
Surfaces dress + bag + earrings, hoodie + joggers + cap, denim + tee + belt. Every rule shows the historical conversion data: 1,247 customers bought this exact set, 12% bundle-discount lift in revenue per buyer.
Margin-aware ranking
HUI engine ranks bundles by profit contribution. Surfaces high-margin accessory pairings (belt, bag, jewelry) ahead of low-margin core pairings. Fixes the AOV-vs-margin tension every fashion CRO wrestles with.
Merchandiser override
Every recommendation is pinnable, suppressible, and overridable from the admin. Your stylist hates a pairing? One click to suppress. Want to pin the seasonal hero look? One click to feature. Inspectable rules, not vendor-magic.
AI bundle copy with brand voice
AI-generated bundle names + descriptions trained on your existing PDP copy. The bundle named "Late-summer linen edit" reads like your brand wrote it, not a recommendation engine.
Seasonal velocity adapts
Orders-velocity trigger refreshes the mined rules when new collections drop. The pairings your March customers exhibited update automatically when April collections ship. No re-merchandising required.
Return-aware (roadmap)
Coming Q3 2026: return-rate-adjusted opportunity scores. Bundles that look great on lift but produce 30% returns get demoted. Critical for fashion's 17%+ baseline return rate.
What you skip
The friction we're explicitly cutting out.
- Per-impression billing on your collection-page traffic
- Revenue share on every cross-sold piece
- Stylist-hand-curated bundles that go stale with each new drop
- Generic ML that pairs more of the same category
- Vendor lock-in (your bundles are native catalog products you keep)
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 hubThe right cross-sell completes the look. The wrong one cheapens the brand.
$49/month flat. Inspectable bundle rules with full merchandiser override. AI bundle copy trained on your voice. Native Shopify Bundle / Magento bundle / WC grouped products. No impression cost, no rev share.
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