SEARCH & DISCOVERY PLATFORM

Retail AI.
Built By Retailers.

The modern AI platform for ecommerce discovery. More relevant experiences. Higher revenue. Lower costs.

product recommendations
Search

Search

Understand shopper intent. Improve discovery.

Merchandising

Merchandising

Smarter product rankings. Automate manual work.

Recommendations

Personalize every experience. Increase revenue.

Sabino AI Engine

Understand intent. Rank smarter. Personalize results.

Integrates with Shopify and other leading ecommerce platforms

Human-in-the-
loop

Data taxonomy
and attribution

Modern AI

Analytics and
reporting

One Platform. Three Capabilities. Unlimited impact.

Search

AI search that understands shopper intent and helps them find what they want faster.

Search

Merchandising

Smarter product rankings and automation so you can focus on strategy.

merchandising

Recommendations

AI-powered product and outfit recommendations that drive basket size and conversion.

Recommended For You Recommendation
product recommendations

Why leading retailers choose Sabino.

Proven on real stores

Proven on
Real Stores

Our store plus 20+ brands across apparel, beauty, and home.

Built by real retailers

Built by
Retailers

Operators, not consultants. We’ve been in your shoes.

Built with modern AI

Built with
Modern AI

State-of-the-art AI with no legacy technology debt.

5 years in stealth

5 Years in
Stealth

Five years of testing and learning what actually works.

Don’t Trust Us. Test Us.

Run a free, fully managed A/B test on your store.

Connect

We integrate
with your store.

Launch

We run alongside
your existing solution.

Measure

30–60 days. Real
traffic. Statistical confidence.

Decide

See the lift.
Then decide.

See how modern retailers are using AI across search, merchandising, and recommendations.

…and more

Frequently Asked Questions (FAQ)

  • Sabino works with all major e-commerce platforms including Shopify, BigCommerce, Salesforce and others. If you're running a standard stack, we can work with it.

  • We typically start with a free, fully-managed A/B test — no disruption to what you have today. We handle integration and setup, run Sabino alongside your existing solutions, tune based on your merchandising inputs, and deliver a clear performance readout. You see the results before you make any commitment.

  • Most tests run 30–60 days. We align on the timeline upfront based on your traffic volume and what's needed to reach statistical confidence.

  • Simple: if the results justify it, you move forward. If not, no hard feelings. Pricing is shared from the start so there are no surprises — by the time the test is done, you'll know the lift and you'll know the cost. The ROI math is clear before you sign anything.

  • Most search, merchandising, and recommendation platforms are built on incomplete or inconsistent product data. Many have simply layered new AI capabilities on top of legacy systems without solving the underlying data problem. As a result, even sophisticated algorithms can produce irrelevant search results, poor recommendations, and frustrating customer experiences.

    Sabino takes a different approach. We start by transforming your product catalog into a structured taxonomy and attribution system using a combination of AI and human merchandising expertise. Our proprietary data pipeline enriches, standardizes, and validates product data so the platform understands what products are, how they relate to one another, and why customers buy them.

    Once that foundation is in place, we apply state-of-the-art machine learning across product, site, order, and customer data to power search, merchandising, and recommendations. The result is more relevant search results, smarter product rankings, better recommendations, and improved conversion — personalized for known customers and optimized for anonymous visitors alike.

  • Pricing is based on your store size as measured by page views and is shared upfront.

  • Sabino is built for brands and retailers with established product catalogs, typically doing $5M or more in annual revenue. If you're early stage or running a small catalog, we're probably not the right fit yet — but we're happy to have an honest conversation about it.