The in-store salesperson, withSmart Search, inside your search box.
An AI search engine for online retailers, inside the search bar you already use.
Our starting point
A search engine suited to the age of AI.
We speak to machines now. Why shouldn't customers speak to your catalogue? Smart Search supports natural-language searches, keyword searches and semantic searches at once.
The three areas we focus on
- 01The customer's full request
- 02Product relevance and meaningful differences
- 03Guidance within the search experience
Smart Search is not a chatbot, and not a separate experience. Your search box stays where it is: it understands the request as written, tells the fitting products apart, and helps at the moment of choice.
Evaluate your difficult searchesProduct relevance
A matching name is only the beginning.
Smart Search evaluates candidate products against the request, then uses catalogue information to explain useful buying differences.
01Understanding the request
A misspelt word does not break the search.
A dropped letter or a misspelt word still finds the right products. No regex, no synonym lists, nothing to maintain.
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02Understanding the request
The meaning is extracted from the query.
The budget and the brand preference are applied to the results. The buying need shapes how products are evaluated.
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03Product retrieval
Where keywords run out, meaning takes over.
The words someone searched for may appear nowhere in a product name; the products that answer the meaning are still found.
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AI commentary
04Product relevance
The order is built from how well each product fits.
The products that fit best come first, so the right one is on the first screen.
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AI commentary
05Product relevance
Nothing that was not asked for stays in the list.
Accessories, spare parts, other brands, anything the query ruled out — all of it leaves the list. Accessories are simply the most visible case.
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06Product relevance
A note above the list, about the products in it.
The model explains how the remaining products differ, and claims nothing the catalogue does not carry.
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AI commentary
07Guidance and speed
One question rewrites the search.
A difference between the products becomes a question. The answer starts a new search, and the shopper can revise it later.
Any preference on storage?
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08Guidance and speed
All of it, at no cost to speed.
Results stream in. The deployment scales to the traffic you expect.
Results stream in
The first products appear before the answer is complete.
Capacity grows under load
Capacity is added horizontally on campaign days.
Your deployment, your call
It works the same on your own servers or in the cloud.
Search outputs depend directly on the quality of the product data.
Catalogue preparation
Accurate product information is the ground accurate results stand on.
We review the catalogue, identify missing attributes and map verified information to the fields your search experience needs.
Illustrative catalogue preparation
Starting record
Tablet · 128 GB
A title and storage capacity leave important buying questions unanswered.
After verification & mapping
Tablet · 128 GB
- Screen size
- 11 inches
- Stylus support
- Supported
- Stylus included
- Sold separately
AI commentary
A question this information helps answer
“Can I take handwritten notes, and do I need to buy a stylus?”
Example attributes only. Missing information must be verified before it is added; availability of source data determines the scope.
- 01
Find the gaps
Review coverage for the attributes that matter in your customers’ searches.
- 02
Verify and map
Check information against agreed sources and map it to your catalogue schema.
- 03
Evaluate the difference
Use the prepared data in product evaluation and test the effect on difficult requests.
Built around your operation
Your search experience. Your infrastructure choices.
Bring search and buying guidance into your storefront, with a deployment and evaluation plan that fits your team.
Inside the existing search journey
Results, short explanations and follow-up options can appear together in your own storefront.
Built around Turkish shopping language
Turkish prompts, catalogue brand validation and everyday expressions inform query understanding and guidance.
Self-hosted or cloud infrastructure
Self-hosted model infrastructure is supported. We agree the hosting arrangement and operating responsibilities with your team.
What does integration involve?
Your product feed connects to the indexing service. Your storefront consumes search results, guidance and follow-up options through the API. Frontend work depends on the experience you want to show.
Where does model processing happen?
You decide where product and query data is processed. Smart Search runs on your own servers or at your cloud provider, and the models can be hosted locally as well. The deployment plan follows that choice.
How is search adapted to our catalogue?
We configure catalogue mappings, brand validation, prompts and relevance settings, then evaluate difficult queries with your team. Any model training requirements are scoped separately.
A measured rollout
Start with the searches your team wants to fix.
Agree the comparison before the pilot. Evaluate relevance first, then measure the shopper and business impact.
- 01
Define the test
Select difficult queries with your category teams. Agree catalogue data, a comparable baseline and what a good result should contain.
- 02
Prepare and compare
Connect the catalogue, configure the search experience and review results against the baseline using the same catalogue snapshot and comparable conditions.
- 03
Pilot and measure
Plan a controlled rollout with agreed A/B criteria. Measure product-detail visits alongside add-to-cart, orders and revenue, with latency and failures monitored throughout.
What we measure in your pilot
- Relevance on difficult queries
- Search-to-product engagement
- Add-to-cart and purchase outcomes
- First-product and full-response latency
These are evaluation criteria, not published performance or uplift claims.
Test your catalogue
Bring us yourdifficult searches.
Tell us where your current search falls short. We’ll scope a catalogue evaluation with your team and agree how to judge the results.
An evaluation built around your needs
- A query set selected with your team
- A comparison on your catalogue
- Agreed relevance and business criteria