Sort smarter. Sell more with AI.
Collections rank themselves by what is selling. Then AI suggests the right add-on at the moment a shopper is deciding — learned from what your shoppers view, add and buy, re-ranked by why they came, and measured in your own dashboard.
Ranks the collection on live sales and stock.Keeps the products that sell together side by side.Offers the pair in the cart, at checkout and after.
Watch it sort the collection — then grow the order.
Two minutes, no signup: the collection re-ranks itself on live demand, then the same engine goes to work on the basket — upsells learned from how your shoppers buy and browse, re-ranked by why each one came, from the product page to checkout and after it.
From sorting to selling, powered by one engine.
Automated collection sorting for Shopify — data-driven, not manual.
Collections re-rank continuously on live signals like sales, margin, conversion and stock, then run as A/B tests against the current order, with attributed revenue behind every result.
Products follow the grouping rules you define, by vendor, product type or tag, staying together in the order you set within each group as the collection re-sorts.
Every sort is evaluated against real shopper behavior, including clicks, add-to-carts and purchases, grounding each merchandising decision in data rather than guesswork.
Personalization from the first visit — no login, no purchase history required.
Checked top to bottom — the first match wins
The default weights — every one is yours to change
Field Watch In cart 
Studio Headphones Everyday Tee Trail Runner Everyday Tee Trail Runner Studio Headphones Field Watch One block, any page — each visitor’s own order
Offers learned from what your shoppers view, add and buy, placed where a shopper is deciding, re-ranked by why they came.
Cart drawer, free-shipping bar, pop-up, bought-together, checkout and thank-you page. Set the rule each one follows and the conditions it shows under.
Bought together, added together, viewed together and similar are rebuilt every night from your orders, cart adds and product views — no hand-kept bundle list, and nothing sold out or already in the cart is ever offered.
Switch on Intent suggest and the cart, pop-up, checkout and thank-you offers re-rank by what this visit came for — a gift buyer and someone replacing a product see different offers from the same cart.
Classic CapCanvas Tote + + Add all 3 Everyday Tee$28
Steel Bottle$18AddTrail Runner$64AddSteel Bottle$18AddEveryday Tee$28
Travel Candle$9Add
20% off your next orderIf you've said any of these, you're in the right place.
Nobody wakes up wanting to re-order a collection. Something looked wrong, and you went looking for a way to stop fixing it by hand.
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Sold-out products keep hogging the front row.
Dropped within minutes, and back the moment it's restocked.
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Our new drops get buried before they have a chance.
How new a product is counts too, so a launch can actually rise.
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Every visitor sees the exact same order.
A feed built from what this visit is doing. No login needed.
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I reordered a collection and have no idea if it helped.
The new order runs as an A/B test against the old one.
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Past a few hundred products, I can't merchandise by hand.
Set the rule once. Every collection, and every new product, follows it.
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Nobody can tell me why a product ranks where it does.
The rule behind every position, in plain language, yours to change.
Upsells that learn from your store — and have to prove it first.
No bundle list to maintain. QSortby reads what your shoppers actually view, add and buy together, keeps those offers current as behavior changes, and holds anything it learns in testing until it beats what you already have.
Bought, added and viewed together
Every night QSortby rebuilds which products your customers buy, add and view together from your own orders, cart adds and product views. A bought-together pair has to show up in more than one order to count, so one unusual basket never becomes a recommendation.
Goes-with that keeps up with your orders
A goes-with rule can follow your live purchases: a partner is swapped only once a challenger has clearly overtaken it and held that lead for a week, so your product pages are not reshuffled by one busy weekend. A partner that stops being sellable is replaced without waiting.
Learning that has to beat your best sellers
For each reason a visit comes — a gift, a replacement, a treat — QSortby learns which products those shoppers go on to buy. Those picks stay in testing, measured against your own best sellers on visits they never learned from, and are shown to you in the Intent tab as Ready only once they clearly win, three nights in a row. Nothing learned ranks your storefront without you.
Knows why each visitor came — and shows its work.
Every visit is read for one of five reasons people shop. Where you switch it on, your feed and upsells rank by it — and what it learns stays in testing, off your storefront.
- 01 Reads
One visit at a time — no login, no purchase history. It commits to a reason only when the visit makes it clear.
- 02 Acts
Where you switch Intent suggest on: For You feeds and the cart, popup, checkout and thank-you upsells. One weighted signal, with its share of the score shown.
- 03 Proves
The Intent tab shows what each kind of visit bought, and the Intent AI on/off test measures whether it paid — on your own store.
Let your storefront optimize itself — and prove it did.
Install free, run it on one collection, and read the attributed revenue in your own dashboard.