Increase Your Sales by 70% with Firebase Genkit AI

A tutorial showing how to build a personalized product recommendation system using Firebase Genkit AI and Google's Gemini model. It walks through setting up a Genkit project, feeding customer data from a CSV dataset, crafting a system prompt for an e-commerce assistant persona, and using Zod output schemas to get structured product suggestions. The approach moves beyond generic 'customers also bought' logic by analyzing individual customer attributes like age, location, interests, and purchase history.