Lily AI vs RELEX Solutions
Two Retail AI tools, side by side. Both are verified against their own live sites. Here is what each does well and who it is for, so you can choose what fits.
Make every product AI-ready
Best forRetailers and brands wanting richer product data to improve discovery and conversion
What it doesLily AI is a product intelligence engine that enriches retail and brand catalogs with thousands of structured, consumer-centric attributes so products are easier to discover and recommend across paid channels, onsite search and AI shopping surfaces. The platform analyses product images and descriptions, enriches feeds and schema, and runs controlled tests to measure performance lift.
Capabilities- Product attribute enrichment
- Feed and schema optimization
- Onsite search and discovery improvement
- Paid channel optimization for Google and Meta
- AI-ready product content
- Performance A/B testing
Visit Lily AI →AI-native platform for end-to-end retail and supply chain planning
Best forGrocery and multi-format retailers needing integrated demand forecasting, replenishment and merchandising at scale
What it doesRELEX is a unified, AI-native planning platform used by retailers, manufacturers and wholesalers to forecast demand, optimize inventory and replenishment, and plan pricing, promotions and merchandising from production through to the shelf. It combines built-in machine learning with agentic AI to lift product availability, reduce waste and improve forecast accuracy across the network.
Capabilities- Demand forecasting and planning
- Automated replenishment and inventory optimization
- Price and promotion optimization
- Assortment and planogram optimization
- Fresh and waste management
- Agentic AI planning agents
Visit RELEX Solutions →How to choose
Choose Lily AI if you are retailers and brands wanting richer product data to improve discovery and conversion. Choose RELEX Solutions if you are grocery and multi-format retailers needing integrated demand forecasting, replenishment and merchandising at scale. Both sit in Retail; the right pick depends on your exact workflow and budget.
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