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[ Elara vs Elfai ]
Elara vs Elfai: which one sells the outfit?
Elfai offers low-cost Complete the Look bundles from $10 a month; Elara is a conversational AI stylist with occasion briefs, full-outfit try-on and holdout lift.
October 23, 2026
Elara vs Elfai: An AI Stylist for Shopify Fashion Brands or a Low-Cost Complete the Look App?
Quick verdict: Elfai's "AI Stylist: Complete the Look" app and Elara for Commerce both put outfit-level selling on a Shopify fashion store, but they are built for different stages. Elfai, as of October 2026, is a low-cost Shopify app focused on "Complete the Look" recommendations, smart search and an "Ask Anything" assistant, with plans from $10 a month. Elara is a conversational AI stylist that opens the conversation itself, turns an occasion into a brief, builds complete looks, renders full-outfit virtual try-on and measures lift against a holdout group, with a 30-day free trial and plans priced for growing brands. Choose Elfai if you want to test outfit bundles cheaply on a small catalog. Choose Elara if styling conversations, try-on and proof of incremental revenue are the point.
This comparison uses Elfai's own Shopify App Store listing and the website of Aiterna Technologies, the Estonian company that lists elfai among its production projects, alongside Elara's published product and pricing information. Competitor details are as of October 2026 and can change, so check the listing before you decide.
What each tool is

Elfai (AI Stylist: Complete the Look). According to its Shopify App Store listing, the app is built by Elfai Technology OU in Tallinn, Estonia, and launched on February 7, 2025. The listing describes an AI stylist for fashion and apparel stores that turns product pages into a "personal stylist experience" with "Complete the Look" outfit suggestions, related-product bundles, smart search, an "Ask Anything" AI shopping assistant, outfit recommendations based on trends and personal taste, and an analytics dashboard for clicks, engagement and recommendation performance. It works with Shopify Admin, Checkout, Flow and Product Reviews, and the listing is in English. Aiterna Technologies, a Shopify Partner, lists "elfai: AI Stylist" as one of its commerce projects in production.
Elara for Commerce. Elara is a conversational AI stylist for fashion brands on Shopify and Shopify Plus, and it also runs on headless stores through an SDK. Shoppers describe what they need in plain language, and Elara builds complete outfits from the brand's catalog, renders full-outfit virtual try-on, and lets shoppers assemble their own looks in Playground on Growth plans and above. It integrates with Klaviyo and Ometria for follow-up after a session.
Feature by feature
Starting the conversation
Elara's proactive engagement detects hesitation and opens the conversation first, with configurable triggers on Growth and above. Elfai's listing describes an "Ask Anything" assistant but does not say whether it starts conversations on its own, so this is not stated as of October 2026.
Understanding the occasion
Elara turns a plain-language moment, such as "a winter wedding in the countryside," into an occasion brief before it recommends anything. Elfai's listing mentions outfit recommendations based on trends and personal taste; it does not describe occasion briefs. Our playbook on holiday party occasion edits covers why occasion-led merchandising matters this season.
Complete looks

This is where the two overlap most. Elfai's core feature, as its name says, is "Complete the Look": outfit recommendations and related-product bundles on the product page, aimed at growing basket size. Elara also builds complete looks, but from a conversation, so the outfit is shaped by what the shopper said they need rather than only by the product they are viewing.
Virtual try-on
Elara renders the whole outfit on the shopper, with monthly try-on limits by plan. Elfai's listing does not mention virtual try-on as of October 2026.
Search
Elfai includes "Smart Search" to reduce bounce. Elara is not a search filter; it is a styling conversation that can sit alongside your existing search.
Measurement

Elfai's analytics dashboard tracks clicks, engagement and recommendation performance. Elara's holdout lift report compares conversion, average order value and items per session against a slice of traffic that never sees Elara, which answers the question finance teams usually ask: what would have happened anyway.
Pricing and setup
Elfai's listing, as of October 2026, shows three plans billed every 30 days, each with a 10-day free trial:
Basic: $10 a month, up to 1,000 products and 5,000 requests a month.
Plus: $40 a month, up to 10,000 products and 50,000 requests a month.
Pro: $80 a month, for large, high-traffic stores, with unlimited usage and priority support.
Elara offers a 30-day free trial with no credit card on all plans. Plans scale by monthly queries, try-ons and catalog size, from Starter (3,000 queries, 500 try-ons and 2,500 SKUs a month) through Growth, Scale and Enterprise; see current pricing on joinelara.shop. Setup is the Shopify app or four lines of code in your theme.
Reviews and track record
As of October 2026, Elfai's listing showed no reviews yet, which is common for a young app and not a judgement on quality. Elara is currently demoing with a few fashion brands and does not publish customer names.
Choose Elfai if
You run a smaller Shopify fashion store and want to test outfit bundles on product pages for a low monthly cost.
Your main goal is cross-selling the pieces that go with the product a shopper is already viewing.
You want smart search and an assistant in the same lightweight app.
You are comfortable starting without virtual try-on or holdout measurement.
Choose Elara if
You want an AI stylist that starts the conversation and works from the shopper's occasion, not only the current product.
Full-outfit virtual try-on matters to your customers' confidence.
You need to prove incremental revenue with a holdout comparison before scaling spend.
You want styling conversations to feed Klaviyo or Ometria follow-up.
Verdict

There is no single winner here; the two tools serve different jobs. Elfai is a sensible, inexpensive way to add "Complete the Look" bundles and smart search to a Shopify fashion store. Elara is a fuller styling layer: proactive conversation, occasion briefs, complete looks, full-outfit try-on and a holdout lift report. For context, industry benchmarks report a 4x conversion rate with AI shopping assistants (Neuwark 2026) and report 25% higher average order value (Rep AI 2025); these are industry figures, not results for either product.
If your store is small and you want to test outfit bundling this holiday, Elfai's Basic plan is a low-risk start. If you sell occasion-led fashion and want to see whether a styling conversation lifts conversion against a control group, Elara's 30-day trial is built for that test.
FAQ
What is Elfai on Shopify?
Elfai's "AI Stylist: Complete the Look" is a Shopify app by Elfai Technology OU, launched in February 2025, that adds "Complete the Look" outfit recommendations, smart search, an "Ask Anything" assistant and an analytics dashboard, according to its App Store listing.
How much does Elfai cost?
As of October 2026, its listing shows Basic at $10 a month, Plus at $40 and Pro at $80, each with a 10-day free trial.
Does Elfai have virtual try-on?
Its App Store listing does not mention virtual try-on as of October 2026. Elara includes full-outfit virtual try-on.
Which is better for a small Shopify fashion store?
For a small catalog and a tight budget, Elfai is a low-cost way to test outfit bundles. If you want conversational styling, try-on and holdout-measured lift, Elara is the closer fit.
Can I measure whether either tool increases sales?
Elfai's dashboard tracks clicks, engagement and recommendation performance. Elara's holdout lift report compares conversion, average order value and items per session against shoppers who never see it.
Want to see Elara on your own catalog? Book a demo or start the 30-day free trial.
Switching from Elfai?
· Install in under an hour
· Catalog syncs itself
· Run both, keep the one the holdout proves
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