How we helped an online retailer achieve a 250% increase in sales through AI-powered recommendations, seamless checkout, and a mobile-first redesign.
An online retail business was losing revenue due to poor product discovery, generic recommendations, and high cart abandonment rates. The existing checkout process was slow and cumbersome, frustrating customers and lowering conversion rates.
We modernized the platform with AI-driven personalization, one-click checkout, and semantic search, resulting in higher conversions, improved retention, and stronger mobile adoption.
What we needed to solve
A complex multi-step checkout caused up to 45% of users to drop out before purchase.
Customers struggled to find products with keyword-based search.
Generic recommendations reduced repeat sales and customer loyalty.
Built machine learning models to suggest products based on browsing patterns, purchase history, and user preferences.
Redesigned the checkout process with faster load times, multiple gateways, and autofill features to reduce abandonment.
Integrated NLP-based search, enabling users to find products with simple phrases (e.g., “red running shoes under $50”).
Delivered a responsive, mobile-first platform with faster page loads and better usability.
Deployed personalized recovery emails with product images and offers to re-engage customers.
We used cutting-edge technologies to build a scalable, performant, and maintainable solution.
Secure hosting for product catalogs and digital assets.
Delivered real-time personalized product recommendations.
Supported seamless global transactions.
Powered lightning-fast, intelligent product search.
Backend logic for recommendations, orders, and cart recovery.
Delivered high-performance front-end for faster shopping experiences.
Key business results achieved through the solution implementation