It all starts with understanding why – not what consumers are buying. To meet the challenges of demand forecasting head on, the key for retailers lies in using the language of customer-driven product attributes – not merchant-driven attributes.
A major global luxury retailer had been struggling with its conversion from online search, and turned to Lily AI and its rich product data enrichment for help.
Join JOOR CEO Kristin Savilia and Lily AI CEO Purva Gupta as they take a close look at the digital transformation underway in retail, and offer practical advice and answer questions on the path forward for an industry in the midst of rapid change and evolution.
Want huge gains in both revenues and customer satisfaction? We’ve outlined some of the current challenges, as well as 6 potential solutions that will help the modern e-commerce retailer make on-site search one of the very best things they do.
Product Content Enrichment is key for retailers in e-commerce. Learn more about what it is and the top three things to know about it.
By utilizing Lily AI product data for demand prediction and forecasting, a large multi-brand apparel and accessories retailer boosted topline revenue by $7-$48 million.