Black-box AI
You can't see why a product showed up.
- The logic is hidden
- Can't steer it to how you merchandise
- Hard to trust a result you can't explain
Show the best product recommendations at every step of the funnel
Power different upsells and bundles on your product page, cart, checkout and post-purchase page. Describe what you want and Atlas builds the rule to show better product recs.
Stop choosing between a black box and an IF/THEN rule builder
Product recommendation apps usually make you pick one. Neither lets you set the logic easily and see what it does.
IF/THEN rule builders
Every condition is another rule to maintain.
- One rule for every case
- Rule order decides what shows
- The stack grows with your catalog
Product Recommendations
Write a rule and then see exactly what it does.
- Describe it in a sentence or choose a template
- Every step of the logic, drawn out
- Tested on sample carts before launch
Show different products at each step
A shopper on your product page needs something different than a shopper at checkout. Each recommendation reads the page and the cart.
Match their size and style
Recommend products in the size and style already in the cart, so every pick is one they can buy.
- Keeps the same size, gender and product line
- Skips anything sold out in that size
Ask Atlas
“Recommend products in the same size as the cart items, from the same [Women's] collection. Skip any size that's out of stock, and never show products already in the cart.”
Included inSmart MerchandisingUnlimited
Women's swim top
$58 · Size M
SML
Complete the set, in your size
Women's swim bottoms · M
$48
AddCover-up · M
$62
AddWrap skirt · M
$44
AddPut the right products in front of shoppers at every step
Build your first rule in minutes.
Build in one sentence what takes a stack of rules elsewhere
The goal: close the free shipping gap and match the shopper's size.
With a rule builder
Rule 1 of 12IFCartSubtotalBetween$60 and $75
AND IFProductTagContains anysize-m
RETURNCollectionAdd-ons under $15, size M
Exit if matched
Rule 2: subtotal $45 to $60, size M. Rule 3: subtotal $60 to $75, size L. Rule 4...
- One rule per price band and per size
- A collection to maintain for every band
- Rule order decides which products win
- New products wait for someone to update the stack
With Intelligems
1 rule“At checkout, show the best sellers that get the cart to free shipping, lowest price first. Match the size already in their cart. If nothing qualifies, hide the upsell.”
Atlas summary
- Shows
- Best sellers that close the gap to free shipping, lowest price first
- Matches
- Sizes already in the cart
- Runs on
- Checkout
- If nothing fits
- Hide the placement
- Works at any cart value
- Reads sizes straight from the cart
- Covers new products automatically
- Passes automatic checks before it goes live
Start from a template, or describe your own
Pick one of six templates and Atlas fills in the details for your store. Or skip the templates and describe exactly what you want.
Curated list
Show products you pick, in the order you set.
Example: Your three hero products, in order. If one's in the cart, show the other two.
From a collection
Recommend products from a Shopify collection.
Example: Stocking stuffers from your Gifts Under $30 collection, including new ones you add.
Product tags
Recommend products with matching Shopify tags.
Example: Gold necklace in the cart? Show other gold pieces from the same line.
Shopify recommendations
Recommend related or complementary products ranked by Shopify.
Example: Shopify's complementary products, falling back to related ones.
Branching logic
Show different products by visitor or cart, with fallbacks.
Example: VIP customers see new arrivals at checkout, everyone else sees best sellers.
Reach free shipping
Recommend products that get the cart to free shipping.
Example: Cart at $38 with free shipping at $50? Show the $13 add-on.
Pick a product recommendations playbook
Four rules, one for every page. Build each one with Atlas or a template.
Gift mode: Fewer decisions, more giftable picks at every step
Product page
Rule 1Ask Atlas
“Show one-size items that pair with what's in the cart”
Cart
Rule 2Ask Atlas
“Show more one-size, giftable picks, best sellers first”
Checkout
Rule 3Template
From a collection Gifts Under $30
Post-purchase
Rule 4Template
From a collection Stocking Stuffers
Compare Intelligems to the app you use today
Using a recommendation engine or an upsell app now? Here's how the approaches differ.
| Feature | Intelligems | Black-box AI engines | IF/THEN rule builders |
|---|---|---|---|
| Setup | |||
How you set it up What it takes to build a recommendation | Plain English or a template | Automatic | Manual dropdowns |
See why a product was shown Intelligems draws every step of the rule | Partial | ||
Preview before it goes live Intelligems runs rules against sample carts first | Varies | Varies | |
| Recommendation logic | |||
Match size or color in the cart Only recommend what the shopper can actually buy | Partial | ||
Close the free shipping gap by price Recommend products priced to get the cart over the threshold | |||
New products covered automatically Intelligems rules match by pattern, not product list | Partial | ||
| Coverage & results | |||
Product page to post-purchase All four steps managed in one place | Varies | Varies | |
A/B tests on profit per visitor Measure revenue and margin, not just clicks | Partial | ||
Reflects typical capabilities of each approach. Individual apps vary.
Switching from another upsell app?
We'll walk through your current setup and show you how it maps to rules.
FAQs
They're the upsells and bundles on your product page, cart, checkout and post-purchase page, powered by rules you describe in plain language. Each step can recommend something different based on the page and the cart.
Launch your holiday product recommendations before Black Friday
Set up rules for your product page, cart, checkout and post-purchase page in minutes, then test them on profit before peak traffic hits.
