Gem Blog
The latest from the team building the future of retail AI.
Inside the Gem Engine: Better Decisions Drive Higher Conversion
Most retail AI searches product descriptions and ranks by relevance. The Gem Engine works differently — here's what a decision layer actually is and why the architecture matters.
The Last Mile of Retail AI Is Where Most Projects Fail
Most retail AI projects look promising in a demo. 88% never make it to production. Here's what the gap between prototype and reality actually looks like.
Why LLMs Alone Are Not Enough for Retail AI
LLMs predict the most probable answer. In retail, that means they guess the most probable product. Here's why accountable AI recommendations require a fundamentally different architecture.
AI-Ready Catalogs: Being Chosen When AI Does the Shopping
Shoppers are asking AI for product recommendations, and the AI picks candidates by reading product data. A product whose data lacks the answer is not ranked lower, it is not in the running at all. Here's what being AI-ready actually means, and which half of it no plugin can solve.
Who Owns the Shopper in the Age of AI?
AI is becoming the first stop in product discovery. Retailers who don't own that layer on their domain risk becoming invisible — a fulfilment endpoint for someone else's interface.
Retail Is Built for Search. Shoppers Need Guidance.
70% of online shoppers leave without buying. The problem isn't your search bar or your checkout flow. It's that online retail was never built for guided discovery.