Lily AI vs RetailNext
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 →E-commerce style metrics for brick-and-mortar stores
Best forPhysical and omnichannel retailers measuring store traffic, conversion and shopper behaviour
What it doesRetailNext is an in-store analytics platform that brings e-commerce style metrics to physical retail. Using its Aurora IoT sensors it measures foot traffic, occupancy, shopper journeys and conversion, and supports visual merchandising compliance and operations, unifying store data for merchandising, operations, marketing and asset protection teams.
Capabilities- Foot traffic analytics
- Occupancy monitoring
- Shopper journey analysis
- Conversion measurement
- Visual merchandising compliance
- IoT sensor data platform
Visit RetailNext →How to choose
Choose Lily AI if you are retailers and brands wanting richer product data to improve discovery and conversion. Choose RetailNext if you are physical and omnichannel retailers measuring store traffic, conversion and shopper behaviour. Both sit in Retail; the right pick depends on your exact workflow and budget.
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