No. Sabino automatically generates coordinated looks across your catalog, so your team does not need to manually style every product. You can provide brand and styling guidelines, set merchandising rules, and work directly with our styling team to refine the look and feel of your recommendations.

Sabino combines product imagery, attributes, catalog data, shopper behavior, inventory availability, product performance data, recommendation algorithms, and human stylist input. The result is coordinated, brand-appropriate outfits that can adapt based on both the shopper and how products are performing.

Our AI generates outfit combinations at scale, then Sabino’s styling team reviews and refines recommendations to make sure they feel coordinated, current, and appropriate for your brand. Your team can also share feedback directly with our stylists, helping us continuously improve the recommendations.

Outfit recommendations make it easier for shoppers to discover complementary products and understand how items work together. That can increase product discovery, engagement, units per order, average order value, conversion, and ultimately revenue per visitor.

No. Sabino can work with the product imagery and catalog data you already have, so additional photoshoots or model photography are not required. Where helpful, we can also create custom product laydown imagery for the outfit experience.

Yes. We can customize the UI and UX to match your website or start with one of our proven templates. Your team can also control product eligibility, categories, inventory requirements, exclusions, priorities, styling guidelines, and other merchandising rules.

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

We handle integration, setup, and launch, then run Sabino alongside your existing experience using real site traffic.  Most tests run 30–60 days, depending on traffic and the time needed to reach a meaningful read. You see the results before deciding whether to move forward, and pricing is shared upfront so you know both the performance lift and the cost before making a commitment.

Pricing is based primarily on the scale of your store and PDP traffic. We share pricing before the A/B test begins, so there are no surprises if you decide to continue.

Sabino is built for direct-to-consumer brands 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.