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.
Empower the Merchandiser to create compelling assortments and experiences with drag-and-drop, block, add, pin, zones, and other rules.
Set product and content zones on pages and let the platform to the rest so pages update on-the-fly to provide the most engaging experiences.
“We don’t have to go in and validate that the results are good; our customers are telling us the results are good.”
Marc Desormeau, Global Search Lead, Lenovo
“We’ve noticed a higher conversion rate. There’s an increase in add to carts and order value as we are continuing to serve up more relevant items to our customers.”
Aaron Veit, Director of Digital Product Management, Crate & Barrel