How to Build a Smart Inventory Chatbot on WhatsApp with LangChain, LangGraph, OpenAI, and Flask
Blog post from Twilio
The detailed guide explores the creation of a smart inventory chatbot on WhatsApp using Flask, LangChain, LangGraph, OpenAI, and Twilio's WhatsApp messaging API. It outlines the process of integrating AI to enhance chatbot capabilities, allowing it to understand context and perform tasks such as retrieving product details, checking stock availability, listing products, and placing orders. The setup involves configuring a Flask backend, utilizing SQLAlchemy for database interaction, and employing Pyngrok to expose the local server to the internet. The guide also covers integrating Twilio's API for message handling and setting up a LangGraph-based agent to manage conversational flow, ensuring personalized interactions by maintaining session history. The chatbot is designed to interact with a PostgreSQL database, updating inventory data and facilitating user inquiries about product availability, ultimately creating a robust system that handles real-time customer queries via WhatsApp.