iPhone 16 sold? The case, screen protector, and charger should ship with it.
Consumer electronics has the cleanest accessory-attachment signal in commerce. The customer buying a tablet buys the case + screen protector + charger within 14 days more than half the time. MarketBasketAnalysis mines per-device cohorts (iPhone 15 vs iPhone 16, USB-C vs Lightning, Pixel 9 vs Pixel 10) and surfaces the right accessory bundle for each one. Charger compatibility is a first-class attribute, not a footnote.
(Shopify, WooCommerce, and Magento supported)
Why this fit
Generic recommendation widgets pair by category similarity: bought a tablet, see more tablets. That's the wrong move for electronics. The accessory-attachment problem is per-device-cohort: iPhone 15 customers want a different case than iPhone 16 customers, USB-C laptops need a different charger than Lightning ones, the Pixel 9 customer's earbud preference differs from the Galaxy S25 customer's. Our mining surfaces those cohort-specific patterns automatically. Your merchandiser doesn't have to hand-curate accessory mappings every time a new device drops.
The right primitives for the job
Per-device-cohort mining
Mining segments by device variant (iPhone 15 vs 16, USB-C vs Lightning, Pixel 9 vs 10) and surfaces accessory bundles per cohort. The case that pairs with the iPhone 16 Pro Max is not the case that pairs with the iPhone SE.
Compatibility-aware bundles
Charger compatibility, port type, screen size, sleeve dimensions: all surfaced as attributes the bundle respects. No more pairing a USB-C-only laptop with a USB-A charger that won't plug in.
High-AOV accessory math
Tablet -> case (78% confidence, 5.1x lift), laptop -> sleeve + charger (71% confidence), phone -> screen protector + cable (84% confidence). Every rule auditable with support, confidence, and lift visible.
Replenishment for consumables
Cables fray, screen protectors crack, chargers walk off. predict_reorder ML model surfaces the right replenishment cadence per accessory category. Plugs into Recharge, Loop, or Shopify Subscriptions for the recurring revenue capture.
Out-of-stock substitution
Your customer adds the AirPods Pro 3 to their cart and you're out. find_substitutes returns the AirPods Pro 2 plus the Pixel Buds Pro 2 ranked by basket-context similarity, not by inventory dump. Recovers carts that would otherwise abandon.
New-device cold start
iPhone 17 just dropped and you have no order history for it yet? ai_catalog engine (BYO Anthropic / OpenAI key) reasons over catalog metadata to seed plausible accessory pairings until real order data arrives. Disabled by default; you pay the LLM tokens, not us.
What you skip
The friction we're explicitly cutting out.
- Per-impression billing on your high-traffic device PDPs
- Revenue share on every accessory cross-sold with a flagship phone
- Hand-curating accessory mappings every time Apple or Google ships a new device
- Generic ML that pairs phones with more phones
- Vendor lock-in (your accessory bundles are native catalog products that persist)
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 device is the hero. The case, charger, and screen protector are the AOV.
$49/month flat. Per-device-cohort mining, charger-compatibility aware, native bundle push, OOS-aware substitution. First mining run typically completes in under 60 seconds and lands you the accessory bundle opportunities your merchandiser would have spent three weeks building by hand.
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