Power smarter recommendations with our closed loop product discovery experience. Leverage individual and aggregate shopper signals, indexed data, and intent analysis. Understand what products shoppers are interested in and why; then deliver high-intent recommendations to drive engagement and conversion.
Recommenders should be positioned strategically to drive intended behaviors with your shoppers. Easily experiment and test into the best strategy with multiple models in your quiver. Place the right models in the right contexts to drive your desired outcomes.
Cross-sell, upsell, or straight up just sell. Lucidworks has the proven models to get the right shoppers to the right products at the right time. Built by ecommerce experts for ecommerce use cases, our recommendations outperform the competition.
Help shoppers understand their options across each category. Recommendations are often used to enrich the product discovery experience and support shoppers at the top of the buying funnel. Once engaged and ready to buy, your recommendation strategy will evolve to drive the add to cart.
Lucidworks has many fully-baked recommendation models. Easily plug in Item for Item, User for User, Query for Query, Product Content Based, and Nearest Neighbor models to drive the behavior your business is looking for.
Las Vegas travel search engine Vegas.com increased page views and engagement by 63% . Bounce rates for the mobile site dropped 8%. Conversion rates from search to a reservation or ticket increased by 33%. The team has since built the desktop search experience with Fusion as well. Full case study…
The American sportswear and footwear retailer put Lucidworks to work and saw a 10% lift in add-to-cart, improved personalization, and better analytics to drive merchandising decisions for promotional events.