The latest articles on DEV Community by Ayman Mohamed (@ayman_kasim). https://dev.to/ayman_kasim https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4036705%2Fc3e6a278-aea3-4073-b3fc-d1a63449d139.jpg https://dev.to/ayman_kasim en Ayman Mohamed Sun, 19 Jul 2026 15:35:43 +0000 https://dev.to/ayman_kasim/building-smartstock-ai-an-ai-powered-inventory-management-platform-with-django-langchain--mhk https://dev.to/ayman_kasim/building-smartstock-ai-an-ai-powered-inventory-management-platform-with-django-langchain--mhk <p>Over the past few months, I've been exploring how AI can move beyond chatbots and become an active part of business workflows.</p> <p>That journey led me to build <strong>SmartStock AI</strong>, an inventory management platform that combines modern web technologies with AI agents, Retrieval-Augmented Generation (RAG), demand forecasting, and automation.</p> <p>Instead of only tracking inventory, SmartStock AI helps businesses make proactive decisions.</p> <h2> What SmartStock AI Can Do </h2> <ul> <li>🤖 Forecast future product demand</li> <li>📦 Recommend purchasing decisions through AI agents</li> <li>📚 Answer inventory-related questions using Hybrid RAG with source citations</li> <li>📄 Process invoices using multimodal AI</li> <li>⚡ Generate real-time inventory alerts</li> <li>🔐 Secure the platform with JWT authentication and role-based access control</li> </ul> <h2> Technology Stack </h2> <h3> Frontend </h3> <ul> <li>React 19</li> </ul> <h3> Backend </h3> <ul> <li>Django 5</li> <li>Django REST Framework</li> </ul> <h3> Database </h3> <ul> <li>PostgreSQL</li> <li>pgvector</li> </ul> <h3> AI </h3> <ul> <li>LangChain</li> <li>Hybrid RAG</li> <li>AI Agents</li> <li>Prophet Forecasting</li> </ul> <h3> Infrastructure </h3> <ul> <li>Celery</li> <li>Redis</li> <li>Docker</li> <li>GitHub Actions</li> </ul> <h2> What I Learned </h2> <p>Building SmartStock AI taught me much more than integrating an LLM into an application.</p> <p>Some of the biggest lessons were:</p> <ul> <li>Designing AI features that solve real business problems.</li> <li>Building reliable agent workflows instead of simple chatbot interactions.</li> <li>Combining vector search with structured database queries.</li> <li>Managing asynchronous AI tasks using Celery and Redis.</li> <li>Creating production-ready APIs with Django REST Framework.</li> <li>Deploying and maintaining a modern full-stack application.</li> </ul> <h2> Demo </h2> <p>🎥 YouTube Demo</p> <p><a href="https://www.youtube.com/watch?v=DQJqs6bgE98" rel="noopener noreferrer">https://www.youtube.com/watch?v=DQJqs6bgE98</a></p> <p>🌐 Live Demo</p> <p><a href="https://smart-stock-dev.vercel.app/" rel="noopener noreferrer">https://smart-stock-dev.vercel.app/</a></p> <p>Demo Account</p> <p>Email: <a href="mailto:viewer@smartstock.ai">viewer@smartstock.ai</a></p> <p>Password: Viewer123!</p> <p>💻 GitHub Repository</p> <p><a href="https://github.com/Eng-Ayman-Mohamed/SmartStock-AI" rel="noopener noreferrer">https://github.com/Eng-Ayman-Mohamed/SmartStock-AI</a></p> <h2> Final Thoughts </h2> <p>This project was developed as my graduation project during the Information Technology Institute (ITI) Full Stack Web &amp; Generative AI Program.</p> <p>It was an incredible opportunity to explore AI engineering, backend architecture, and modern software development while building a practical product.</p> <p>I'm continuing to learn about Agentic AI, RAG systems, and intelligent automation, and I plan to share more technical articles about what I build and what I learn.</p> <p>If you have any feedback or ideas for improving SmartStock AI, I'd love to hear them!</p> agents ai django rag