Building SmartStock AI: An AI-Powered Inventory Management Platform with Django, LangChain & Multi-Agent Workflows

Short summary

SmartStock AI is a graduation project combining Django, LangChain, and multi-agent workflows to build an AI-powered inventory management platform. It features demand forecasting, AI purchasing recommendations, hybrid RAG for inventory queries, multimodal invoice processing, and real-time alerts. The author shares lessons on designing agent workflows, combining vector search with structured queries, and managing async AI tasks with Celery and Redis.

• •Full-stack AI inventory platform with demand forecasting, RAG Q&A, and invoice processing
• •Built with Django 5, React 19, LangChain, pgvector, Prophet, Celery, and Redis
• •Key lessons: reliable agent workflows beat simple chatbots; vector search plus structured queries for production AI

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