A language of customers to drive better demand forecasting.

Instead of relying solely on legacy, out-of-the-box product attributes, we help retailers and brands dramatically expand their product language into the sorts of attributes shoppers are looking for when choosing their next purchases. This then helps understand why they’re buying – not merely what they’re buying.

Fashion Image

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.

Now retailers can gather proxy products through Lily AI-powered computer vision to accurately forecast demand for brand-new product lines. We help replace wholesale pre-orders with a leaner, demand-led, made-to-order model that fuels product development with AI to launch lines that are guaranteed to sell out quickly.

It’s all about the margins.

What if you could increase your full-margin sales by making informed, customer-centric predictions about what shoppers are likely to buy in the coming months? By forecasting demand using a language of customer-driven attributes – not legacy, out-of-the-box attributes – you’re increasing your ability to sell those customers what they’re looking for, right now, and decreasing the need to mark that inventory down later.

 

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Proxy Products Example
Demand Forecasting Metrics

Get ahead of the supply chain crunch.

The supply chain is only as robust as the data that feeds into it at the source. In retail, granular product attributes can help reduce mountains of unsold inventory in the warehouse, and Lily AI helps retailers reduce assortment complexity, clean up the product catalog, and use data analytics to identify the most profitable SKUs. 

A package made just for Demand Forecasting teams.

Our Demand Forecasting 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.

Resources

Lily AI Demand Forecasting 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 legacy, spreadsheet-based attributes.
Read

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.
Read