Whether it’s creating a new page to feature products for an event or merchandising sub-categories to assort products, our merchandising tool is loaded with features to make it quick and easy. Boost, bury, add, block, pin, and more – all with drag-and-drop ease.
Building experience-specific templates or reusable templates to scale across your top categories is simple with Predictive Merchandiser. Zones and templates can automatically update as the products and content change, relieving merchandisers from day-to-day operational tasks.
Automatically generate URLs for every page to build your sitemap and drive SEO equity. Meet shoppers at the search engine with a relevant listing page at the intersection of any product attribute combination that makes sense for your business.
Drowning in thousands of rules to manage facets and facet values across the site? Operationalize your facet strategy with machine learning. Get the right facets in front of your shoppers to encourage engagement and accelerate their path to purchase.
With ML, facets will rerank based on parameters and contexts important to your business. Apply this strategy across the site and focus on the few pages that benefit from your teams’ expertise.
Poor personalization is painfully obvious. Shoppers expect quality individualized experiences from type ahead to search and browse pages, to recommendations and content. Collect signals from site, store, and any other channel and apply those insights to the product discovery journey. Predict the next click to accelerate the path to purchase and increase AOV.
Different parts of the shopping journey deserve unique experiences. Define page zones where different pipelines will power compelling recommendations, content, and products. Accelerate the shopper’s journey down the funnel with sophisticated product discovery.
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.
Take advantage of multiple OOB recommendation models to accelerate different portions of the shopping journey and always show the right products at the right time. Learn more
Empower the merchandiser to create compelling assortments and experiences with drag-and-drop, block, add, pin, zones, and other rules. Learn more
Sophisticated OOB models analyze query intent and layer in user signals to return hyper-personalized results for every shopper. Learn more
