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 by integrating the words consumers actually use while shopping.

Group of female fashion retails discussing demand forecasting with Lily AI.

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.

Neutral modern living room with stylish home decor that represents the benefits Lily AI demand forecasting.

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.


Man looking at retail stock in warehouse trying to predict demand forecasting.

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. 


AI for retailers and merchandising teams

AI for Retailers: Its Impact on Merchandising Teams

The right AI for retailers will benefit multiple teams, including merchandisers. Here, we dive into three benefits AI brings to this specific team, when it supplements their work. 

Bringing AI Science to the Art of Merchandising with Product Attribution Data

Merchandising is both an art and a science. One of the best ways to meet today’s core challenges in retail and connect shoppers with what they’re looking for is to infuse customer-centric product attribute data into your existing e-commerce stack.    
2024 Retail Roadmap | Lily AI

2024 Retail Roadmap

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 (...)
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