Discover surprising yet critical insights from Lily AI and RETHINK Retail’s groundbreaking survey of over 1,000 North American shoppers across the fashion, home, and beauty sectors. With a focus on actual consumer sentiments versus retailer assumptions, this comprehensive analysis reveals the stark differences in how each group views the shopping journey.
Prepare for warmer weather and even hotter trends. In Lily AI’s Spring/Summer 2024 Trends Report, we explore 5 macro-trends and 20 micro-trends expected to be consumer favorites in the coming months.
The retailer’s mission is to meet rising—and often shifting—consumer expectations. It’s critical that brands inject the essence of consumers’ desires, habits, and trends throughout the entire retail experience. In this Retail Roadmap, we take a deep dive into on-and-offline retail experiences, meeting consumers where they are, and the industry’s outlook as AI booms.
Learn how AI-powered product attribution can drive sales and build loyalty by transforming CX, Merchandising, Ecommerce, and Marketing!
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.
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.