The more insight retailers have into a customer’s preferences, intent and the context behind their choices, the better positioned they are to anticipate demand and eliminate the uncertainty that causes overstocking - and yet the supply chain is only as robust as the data that feeds into it at the source.
In this short "master class", you'll learn how granular product attributes can help reduce mountains of unsold inventory in the warehouse, reduce assortment complexity, clean up the product catalog, and use data analytics to identify the most profitable SKUs.
You'll hear perspectives on these issues from Lily AI CTO and Co-Founder Sowmiya Narayanan, VP of Product Byron Jones and Director of Styling Kathy Lee, with an emphasis on how to apply new learnings to YOUR retail ecommerce operations.
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The Marriage of Product and Consumer Intelligence for Retail Ecommerce
"“As a multi-category, multi-branded department store, and with on-site search driving a large percentage of our total demand, ensuring that Bloomingdale’s provides the most relevant results to our customers is extremely important to us. How we return results to customers really resonates with them. Thankfully Lily AI’s customer intent platform solves for something extremely difficult to solve for, driving pinpoint results for the many long-tail queries that comprise more than 50% of our ecommerce searches. Lily's rich and detailed product attribution helps ensure that Bloomingdale’s customers find what they’re looking for, every time.”"
James Kim
VP of Ecommerce, Bloomingdale's
Trusted by global retailers and industry leaders
Learn how Lily AI helps retailers boost ecommerce discovery and conversions
Lily AI supercharges retailers of all types by dramatically improving on-site search, personalized product discovery, recommendations and demand prediction - unlocking millions in new revenues.
