Universal language enables retailers to deeply understand their own products and customers

Lily AI, the customer intent platform built to power the present and future of ecommerce, today announced that its pioneering solution, already deeply integrated with retail industry leaders Bloomingdale’s, thredUP, Backcountry and others, is now available globally to help retailers dramatically improve on-site search, personalized product discovery, recommendations and demand prediction.

Marketing Technology News: Video Ad Destination Mix Stabilizes Across Channels, According to Extreme Reach Report

The company’s platform is powered by a universal language that can help present every unique consumer with exactly what they’re looking for in real time. Lily AI injects robust product attribute data and unique customer intent into the entire ecommerce stack, supercharging retailers of all types by providing a depth and scale of attribution that no other solution can match.

Retailers and their customers now live in a hyper-personalized world in which those customers expect to be shown what they want online before even they know they want it. With digital transformation having been rapidly accelerated by Covid, the ecommerce market is now significantly larger than it was in 2019, and yet many retailers have failed to digitally transform and keep their customers – and those rapidly-changing expectations – at the center of the experience.

Lily AI has answered this pressing challenge with a customer intent platform that turns qualitative product attributes into a universal mathematical language at a high volume with unprecedented accuracy. By using robust, AI-powered image recognition to extract product attributes, Lily AI allows retailers to configure 10x more attributes for each product – from fit to style, from embellishments to occasion, and much more.

Marketing Technology News: Four Companies Offering Location and Geospatial Data Named IDC Innovators

Because Lily AI has pioneered and automated this universal language to describe products, the company is also in a unique position to understand consumers in this same language of attributes, in order to extract the why behind what they like and dislike in a completely unique way that’s never done before by Artificial Intelligence. This results in a step-change in metrics across search engines, recommendation systems, demand prediction models, and item set-up processes.

“What CDPs did for customer data, Lily AI is now doing for customer intent,’’ said Purva Gupta, Lily AI CEO and Co-founder. “We believe every retail stack will require a customer intent platform to be the central system of record of customer intent, and that quickly sends this important data to all destination systems. It’s already leading to 8-9 digit boosts in additional revenues for our major retailing customers.”

Marketing Technology News: Dirt Geek Media Inc Announces the Launch of Overnet Billboard Technology