Power smarter recommendations with closed-loop product discovery experiences. 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 the best strategy with multiple models at your disposal. 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 purchase.
Lucidworks has many recommendation models, ready out of the gate. Easily plug in item-for-item, item-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.