Matching shoppers to the products they actually want via recommendations is a constant challenge across the e-commerce landscape. With Lily AI’s platform and product attribution data, brands can recommend products more effectively based on style, trend, and occasion.
Understand how retail product discovery can flounder across SEO, SEM, on-site search and recommendations in this comprehensive guide to using the language of the customer to drive better conversion and higher revenues.
Help shoppers turn their house into a home from the ground up with the help of more accurate, customer-centric product attributes. Take a house tour with Lily AI and get merchandise moving from the store through the front door.
Merchandisers can now harness the power of AI and customer-centric product attribution data to more effectively and efficiently put together your item set-up from start to check out.
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 legacy, spreadsheet-based attributes.
Matching shoppers to the products they actually want via recommendations is a constant challenge across the e-commerce landscape. With Lily AI’s platform and product attribution data, brands can recommend products more effectively based on style, trend, and occasion.
Understand how retail product discovery can flounder across SEO, SEM, on-site search and recommendations in this comprehensive guide to using the language of the customer to drive better conversion and higher revenues.
Help shoppers turn their house into a home from the ground up with the help of more accurate, customer-centric product attributes. Take a house tour with Lily AI and get merchandise moving from the store through the front door.
Merchandisers can now harness the power of AI and customer-centric product attribution data to more effectively and efficiently put together your item set-up from start to check out.
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 legacy, spreadsheet-based attributes.
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.