FlavorFlow - AI Food Recommendation Engine 1
AI Application

FlavorFlow - AI Food Recommendation Engine

About

  • FlavorFlow is an AI food recommendation engine built for food brands that want to move beyond generic marketing.
  • It ingests raw POS transaction data to construct rich, personalised taste profiles for each customer — capturing preferences across cuisine types, flavour profiles, dietary habits, and order frequency.
  • These profiles are embedded into a high-dimensional vector space using OpenAI embeddings and stored in Qdrant for lightning-fast semantic similarity search.
  • The system then uses these profiles to automatically generate targeted marketing campaigns tailored to each customer segment, ensuring every promotion feels relevant and personal.
  • Built with React.js on the frontend and PostgreSQL for structured data, FlavorFlow bridges the gap between transactional data and intelligent, AI-driven customer engagement.

Key Features

  • POS data ingestion and customer taste profile generation
  • Vector embeddings for semantic taste similarity matching
  • AI-generated personalised marketing campaign copy
  • Qdrant-powered vector search for real-time recommendations
  • Segmentation of customers by flavour preferences and habits
  • Campaign performance analytics dashboard

Tech Stack

React.jsReact.jsTypeScriptTypeScriptOpenAIOpenAIQdrantQdrantPostgreSQLPostgreSQLVector Embeddings

Details

TypeAI Application
Stack Size6 technologies

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