Your catalog should do more than sit there.
Aiterna builds Shopify AI add-ons that help products recommend, bundle, cross-sell, and guide shoppers through catalog intelligence.
See live proofMost catalogs wait. AI-native catalogs act.
A traditional catalog asks the shopper to search, filter, compare, and guess. An AI-native catalog understands product relationships and helps the shopper move toward a better choice.
- products sit in grids
- filters do the work
- recommendations are generic
- product logic is hidden
- shoppers leave decisions unresolved
- products recommend
- bundles form from product logic
- cross-sell responds to context
- guidance supports choice
- store teams learn from catalog patterns
Products understood as relationships.
Catalog intelligence means the store understands products as relationships — what pairs, what substitutes, what solves the same need, what shopper intent suggests, and which path should come next.
- recommend related products
- build bundles from product logic
- cross-sell from shopper context
- guide shoppers through choice
- support product discovery
- prepare store teams with better product logic
AI-native selling starts with the product logic already inside the store.
6 abstract placeholder tiles, 2 rows. No real product data is shown.
Recommendations
Products surface related, complementary, substitute, or intent-matched items based on catalog logic.
Bundles
The store groups products that solve the same use case, complete a setup, fit an occasion, or belong together.
Cross-sell
The storefront suggests the next useful item without falling back to generic upsell patterns.
Product guidance
AI helps shoppers compare differences, fit, usage, compatibility, care, constraints, or context.
Store workflows
AI helps store teams improve product copy, tags, grouping, seasonal planning, customer-question patterns, and product data cleanup.
AI add-ons we already run in production.
We don't just advise on AI for commerce — we build and run it. The team behind your store's add-on ships AI products that real businesses depend on today.
Shopify storefront extension
AI recommendation logic inside the shopping experience.
Shop Mini
An AI shopping experience inside the Shop app surface.
Catalog intelligence is not only fashion.
Apparel and fashion
Outfits, fit logic, complementary products, seasonal bundles.
Beauty and personal care
Routine-building, shade and category guidance, replenishment, product pairing.
Home goods
Room context, style relationships, compatibility, multi-product bundles.
Specialty retail
Use-case matching, product education, accessory logic, expert-like guidance.
Food and gifting
Occasion matching, bundle logic, dietary and product constraints, gifting paths.
B2B and catalog commerce
Compatibility, repeat ordering, technical product guidance, account-specific patterns.
The install path depends on the product and store.
Some add-ons deploy as a managed install inside your Shopify store. Others are scoped as a bespoke build. We confirm the right path, what access is needed, and what your team needs to provide before the work is agreed.
Managed install
We set the add-on up inside your Shopify store and tune it to your catalog.
Bespoke build
For deeper or custom commerce work, we scope and build it around your store.
The storefront is only one surface.
- product copy and merchandising support
- supplier and product information cleanup
- customer question patterns
- catalog tagging and grouping
- seasonal bundle planning
- product discovery improvements
See which store workflow should become AI-native first.
The assessment looks at catalog size, product logic, store workflows, current AI use, and team needs before recommending the right commerce path.