AI Shopping Assistant - Built using LangGraph

In this video, I present a detailed overview of our AI Shopping Assistant solution to the high-friction retail in-store shopping experience. We'll explore common issues like poor customer service, difficulty finding items, and a lack of effective pre-purchase marketing.
Our innovative solution involves a Chat based AI assistant designed to help customers find items, explain product details, and upsell relevant products. I'll take you through our journey from problem identification to the development of a Minimum Viable Product (MVP) built with OpenAI GPT-4 and a vector-based self-querying retriever for accurate product recommendations. This is all bought together by leveraging LangGraph agents.
If you're interested in AI, retail technology, or simply curious about how advanced chat agents can transform the shopping experience, this video is for you. Follow along as I learn more about leveraging the latest and greatest tools in AI! If you are interested in custom solutions for your business please reach out to me directly.
Keywords: AI Shopping Assistant, retail tech, in-store experience, SMS-based assistant, OpenAI GPT-4, product recommendation, AI demo, LangChain, LangGraph, retail innovation, How to build an AI Shopping Assistant, AI customer service, AI product recommendations, building AI for retail, retail AI solutions, AI chatbot for shopping, AI in retail, creating an AI assistant, AI-powered shopping experience, AI technology for stores, Business AI Implementation
#ai #chatgpt #aisolutions #sales #datascience #softwareengineer #langchain

[@judsonrobertson]

This is great !

[@andy111007]

Thanks for the explanation and video. is code available?

[@journeymanaipod]

I’ll try to make future projects public, this one is still work in progress. If you need any help with langgraph stuff though just shoot me a message

[@divyanshtripathi4867]

This was great! Can you share the source code?

[@journeymanaipod]

Thank you! I didn’t make this code public since we are still building parts of it for a client - I’ll try to make all future projects accessible!