今日已更新 240 条资讯 | 累计 23823 条内容
关于我们

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

Ayman Mohamed 2026年07月19日 23:35 2 次阅读 来源:Dev.to

Over the past few months, I've been exploring how AI can move beyond chatbots and become an active part of business workflows. That journey led me to build SmartStock AI , an inventory management platform that combines modern web technologies with AI agents, Retrieval-Augmented Generation (RAG), demand forecasting, and automation. Instead of only tracking inventory, SmartStock AI helps businesses make proactive decisions. What SmartStock AI Can Do 🤖 Forecast future product demand 📦 Recommend purchasing decisions through AI agents 📚 Answer inventory-related questions using Hybrid RAG with source citations 📄 Process invoices using multimodal AI ⚡ Generate real-time inventory alerts 🔐 Secure the platform with JWT authentication and role-based access control Technology Stack Frontend React 19 Backend Django 5 Django REST Framework Database PostgreSQL pgvector AI LangChain Hybrid RAG AI Agents Prophet Forecasting Infrastructure Celery Redis Docker GitHub Actions What I Learned Building SmartStock AI taught me much more than integrating an LLM into an application. Some of the biggest lessons were: Designing AI features that solve real business problems. Building reliable agent workflows instead of simple chatbot interactions. Combining vector search with structured database queries. Managing asynchronous AI tasks using Celery and Redis. Creating production-ready APIs with Django REST Framework. Deploying and maintaining a modern full-stack application. Demo 🎥 YouTube Demo https://www.youtube.com/watch?v=DQJqs6bgE98 🌐 Live Demo https://smart-stock-dev.vercel.app/ Demo Account Email: viewer@smartstock.ai Password: Viewer123! 💻 GitHub Repository https://github.com/Eng-Ayman-Mohamed/SmartStock-AI Final Thoughts This project was developed as my graduation project during the Information Technology Institute (ITI) Full Stack Web & Generative AI Program. It was an incredible opportunity to explore AI engineering, backend architecture, and modern software development while buildin

本文内容来源于互联网,版权归原作者所有
查看原文