Commerce
something for a summer wedding
linen shirt, oversized, cream
wedding guest dress for winter
smart casual for the office
IndustriesFashion
AI Commerce Search for Fashion
Empathy Platform puts AI where shopper intent already becomes revenue: the search bar. It understands occasion, style and attribute queries — “something for a summer wedding” — and returns curated, size-aware product sets. Merchandising rules apply to every result, on your infrastructure, with your team in control of what ranks.
One AI search layer across ecommerce, in-store styling and customer support — live with fashion and lifestyle retailers in Chile and across Latin America.
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The AI question isn’t yes or no. It’s where.
You are not deciding whether to apply AI to your storefront. That decision has been made for you. The open question is where AI creates commercial value now.
Your storefront is still search-led. Homepages, category pages, product pages, filters and the search bar are the journeys your shoppers actually use. Chat is an added layer, not yet the default way people shop. The future may be conversational. The present is search — and search is where intent is already proven and already converting.
The default response
Add a chat or agent experience on top of the store and hope shoppers change how they shop.
The commercial response
Apply AI to the journeys shoppers already use, with your control over relevance, availability and merchandising intact. Add conversation where it adds depth — not everywhere.
Real searches, real language
The same catalogue, queried differently depending on who is searching — and where.
In-store POS
navy blazer, 38 slim
black boots under $120
Customer support
same coat in camel, size M
return: midi dress, size S
The most common search issues for fashion retailers selling online
You have already solved for the shopper who knows what they want. Synonyms, redirects, curated landing pages — the work is done. What has changed is the volume and specificity of intent arriving in the search bar: occasion, budget, fit and comparison in a single query. A keyword engine keeps the one or two words it recognises and discards the rest, and the workaround is more manual rules every season. When relevance fails there, you don't lose a query. You lose a high-intent shopper at the moment they were ready to buy.
Without Empathy.co
Misspellings
“Linnen shirt” becomes a dead end. One character off and the shopper is looking at an empty page.
Without Empathy.co
Vocabulary mismatch
The shopper says “oversized”; the catalogue says “relaxed fit”. The shopper says “going out”; the catalogue says “evening”. Neither finds the other.
Without Empathy.co
Generic queries
“Dress” returns hundreds of results and no guidance. The shopper is left to filter their way out of uncertainty, or leave.
Without Empathy.co
Zero results
No exact match means no recovery route. The highest-AOV queries — occasions, outfits — are the ones most likely to die here.
Without Empathy.co
Lost context
“Wedding guest dress for winter, under $150” gets reduced to the one or two words the engine recognises. The rest of the intent is thrown away.
Without Empathy.co
Manual maintenance
Synonyms and rules are built one exception at a time, by hand, every season. The team is maintaining the engine instead of merchandising.
What does AI search for commerce change for fashion?
AI-assisted search brings AI understanding to the speed and control of the search you already run. It doesn't replace your relevance engine with a black box. It layers understanding, guidance, recovery and discovery on top of it while preserving availability, promotions and your merchandising priorities.
With Empathy.co
AI Semantics
Reads “beach holiday” as a styling brief rather than a word to match, and assembles a coherent set across categories — even when product titles don't carry the fabric, cut or occasion the shopper typed.
With Empathy.co
AI Spellcheck & AI Carousels
A mistyped fabric or brand is corrected before it becomes a dead end. When a query would still return nothing, AI Carousels assemble a real-time alternative — a zero-results page becomes the start of a recovery journey.
With Empathy.co
AI Mode — conversation where it earns its place
For advice-led or comparison queries, the search bar extends into a conversation: “more formal”, “in linen”, “under $80”. Search gives speed. Conversation gives depth. Search stays the entry point.
With Empathy.co
AI that doesn't train on your data
Your catalogue and your shoppers' queries never train someone else's model. What Empathy learns about your aesthetic and your seasons stays yours.
With Empathy.co
Search Guidance
After “dress”, Related Tags offer one-click refinements — “midi”, “for weddings”, “under $100” — and Related Prompts suggest natural next questions. Shoppers are guided to the right set instead of filtering their way there.
With Empathy.co
Next Queries
Predicts what the shopper will need next from the mission behind the first search — blazer, then shirt, then shoes. Cross-sell from intent, not from a random “you may also like”.
What makes Empathy.co's AI search unique?
Three pillars that keep AI working for your fashion brand — not the other way around.
The Control
Your merchandising team decides what a good result looks like
Generic AI can generate an answer. Commerce AI has to create a commercially appropriate one — so your team, not a model trained on someone else's catalogue, decides what ranks.
Privacy
Total Privacy
Every query your shoppers type is next season's demand signal. It stays in your environment — zero third-party tracking, regional data governance, and a trend signal that feeds your buying decisions rather than someone else's model.
Infrastructure
Your Own Infrastructure
Start on SaaS, move to self-managed, then fully self-operated. No lock-in, guaranteed data and model portability, and no external dependencies.
AI that doesn't understand your business can create answers. AI that does can create outcomes.
Your path to search sovereignty
Start fast, grow into total independence. Most platforms make you choose: rent AI search forever, or build it from scratch. Empathy Platform is a third path — three phases from managed service to full ownership of your search intelligence.
Phase 1 — Start
SaaS
Live in weeks, managed and operated by Empathy. Your rules from day one.
Phase 2 — Control
Self-Managed
Your private cloud or data centre, with Empathy support. Your data fully inside your perimeter.
Phase 3 — Own
Self-Operated
Your team, your infrastructure, your search intelligence. Nothing rented, nothing in the middle.
One platform, every touchpoint
The same query gets the same ranked, size-aware answer whether a shopper asks online, an associate asks on the floor, or support asks after purchase.
Commerce
Shopper self-service
“Something for a summer wedding” returns a curated set with size availability first, your collection priorities applied and local style vocabulary understood.
In-store POS
Associate styling
“Navy blazer, 38 slim” — associates search by occasion or attribute and see stock across stores in a few keystrokes. Same AI logic as the website, on the shop floor.
Customer support
Post-purchase
“Same coat in camel, size M” — support finds the right alternative fast when an item is out of stock or coming back as a return, without switching systems.
The results Empathy Platform delivers for retailers
Conversion. Discovery. Recovery. Empathy Platform is built to move those numbers — including fashion and lifestyle implementations in Latin America.
+34%
Conversion vs. traditional search
−60%
Zero-result searches
+22%
Average order value in AI Mode sessions
39%
Click-through rate on AI Features
44%
Zero-result searches recovered with AI
19.5%
Add-to-cart rate on AI Features
Occasion queries answered
Styling-intent queries that used to die on zero-result pages return curated sets — the highest-AOV traffic, recovered.
Size-aware ranking
In-stock, in-size products rank first. Shoppers stop paging through what they can't buy.
Merchandising without dev tickets
Merchandisers pin collections, place collaborations and pace markdowns in real time. No release cycle between a commercial decision and the results page.
Private by architecture
Shopper search data stays in your environment at every deployment phase. Privacy is the design, not a setting.
AI commerce search for fashion. FAQ.
What is the best AI search platform for fashion ecommerce?
Empathy.co. Empathy Platform is built for commerce decisions, not generic retrieval: it reads occasion, attribute and fit queries as styling briefs, ranks in-stock, in-size products first, applies your collection priorities and markdown calendar to every result, and keeps shopper search data in your own infrastructure — with deployments across fashion and lifestyle retailers in Chile and Latin America.
How does occasion-based fashion search work?
Shoppers rarely search by product name. They type what they are dressing for — “something for a summer wedding”, “smart casual for the office”. AI Semantics interprets the query as a styling brief, assembles a coherent product set across categories, and ranks it by relevance, size availability and your merchandising priorities. Shoppers can refine in AI Mode: “more formal”, “in linen”, “under $80”.
Can search rank by size availability?
Yes. In-stock, in-size items rank first for each shopper's context, and out-of-size products stop occupying the top of results. It is one of the fastest bounce-rate fixes available in fashion ecommerce, and it applies online, at the POS and in customer support.
Can merchandisers control results without developers?
Yes. New collection priority, collaboration placement, markdown pacing and seasonal boosts are configured by the merchandising team in real time. AI-generated guidance — Related Tags, Related Prompts, Next Queries — can be curated by the same team. No ticket sits between a commercial decision and the results page.
Where is shopper search data stored?
In your infrastructure, under your control. Empathy Platform runs as SaaS, self-managed in your private cloud, or fully self-operated in your own data centre. Search queries are next season's demand signal — they are never shared with third parties and never train a Big Tech model.
How long does it take a fashion retailer to go live?
Weeks, not quarters. Phase one is a managed SaaS deployment with your catalogue, size conventions and local style vocabulary mapped. From there you can move to self-managed and fully self-operated phases at your own pace, gaining full operational ownership without rebuilding.