Optimizing Supply Chains with Data Streaming and Generative AI

What this post added

This post details a specific implementation of a computer vision-aided AI stock monitoring solution for supply chain optimization. It describes how data streaming with Confluent, Azure AI Vision, Apache Flink, vector embeddings, Azure Cosmos DB, and OpenAI's LLM can be integrated to provide real-time guidance to shop assistants. The architecture involves streaming product photos to Azure AI Vision for classification, joining the results with real-time inventory data streamed from SQL Server, generating vector embeddings using Flink AI Model Inference, storing them in Azure Cosmos DB for RAG, and then using OpenAI to generate actionable advice for stock management.