Demand forecasting just got a lot faster and a whole lot smarter.

Automated proxy product identification based on visual similarity saves days of manual labor, boosts your forecast volume accuracy and increases your full-margin sales.

Proxy Products Example

Get the why behind customer preferences.

Lily AI’s proxy products provide historical catalog visual similarity analysis, along with merchandising recommendations to assure demand and merchandising teams that they’re ordering what customers really want. Reduce unnecessary markdowns and eliminate the uncertainty that causes overstocking.

Let AI do the heavy lifting.

Manual processes and minimal data is not a recipe for forecasting success. Lily AI helps retailers reduce assortment complexity and use data analytics to identify the most profitable SKUs – all in a matter of weeks.

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A package made just for Demand Forecasting teams.

Our Demand Intelligence package was built for retailers and brands who are looking to fight the supply chain crunch with the most robust product data in the industry. Increased full-price sell-through and reduced operational costs start here.

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Resources

Lily AI Demand Intelligence Provides Accuracy at Scale, Driving 7-8 digit Revenue Lift for Multi-Brand Apparel and Accessories Retailer

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.
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Customer-Centric Predictions: A Better Way to Forecast Retail Demand

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.
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Demand Forecasting Master Class

Learn how granular product attributes can help reduce mountains of unsold inventory in the warehouse, reduce assortment complexity and use data analytics to identify the most profitable SKUs.
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It’s All About the Margins: A Better Way to Forecast Retail Demand

What if retailers could increase their full-margin sales by making informed, customer-centric predictions about what shoppers are likely to buy in the coming months? It all starts with understanding why – not what they’re buying.
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