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 proof →Most 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 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.
elfai: AI Stylist
A personal stylist in the storefront — complete-look outfits and 'Ask Anything' conversational shopping.
view it live ↗ — elfai: AI StylistRanklift
Optimizes the catalog to be found and recommended by ChatGPT, Gemini, and AI search.
view it live ↗ — RankliftShop Mini: Complete My Look
An outfit-recommendation experience inside the Shop App surface.
view it live ↗ — Shop Mini: Complete My LookCatalog 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.
Install it yourself. No setup call needed.
The add-ons are live and self-service. Install one on your store and it starts working against the catalog you already have — no onboarding call, no scoping, no waiting on us.
- elfai: AI StylistInstall ↗ — elfai: AI Stylist
- RankliftInstall ↗ — Ranklift
- Shop Mini: Complete My LookInstall ↗ — Shop Mini: Complete My Look
Need something custom?
Custom integrations, catalog-specific logic, and bespoke commerce builds are scoped separately — after the add-on is live and you know what else the store needs.
start the assessmentThe 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.