Commerce Agent: AI-Powered Chatbot Widget for E-Commerce Commerce Agent is a comprehensive, production-ready AI chatbot widget designed specifically for e-commerce websites. With just a single line of code, businesses can embed our intelligent assistant on their site to provide 24/7 customer support, personalized product recommendations, and real-time shopping assistance. Our solution addresses the critical challenges faced by online retailers: high cart abandonment rates, limited support resources, and difficulty delivering personalized experiences at scale. The widget seamlessly integrates with any website or e-commerce platform through a simple script tag, requiring no technical expertise to implement. Powered by OpenAI's GPT-3.5-turbo, Commerce Agent understands customer queries in context, providing accurate information about products, shipping policies, return procedures, and more. The system maintains conversation history to deliver a coherent experience across multiple interactions. The accompanying dashboard gives businesses complete control over the widget's appearance, behavior, and knowledge base. Store owners can customize colors, fonts, and positioning to match their brand, upload product catalogs for accurate recommendations, and access detailed analytics on customer interactions. Key features include: One-click website integration Fully customizable appearance AI-powered contextual responses Product catalog integration Real-time analytics dashboard Multi-platform support (desktop/mobile) Secure data handling Commerce Agent is built with modern technologies including React, TypeScript, Tailwind CSS, and Supabase, ensuring performance, security, and scalability. Our solution empowers businesses of all sizes to enhance customer experience, increase conversions, and gain valuable insights without significant investment in development or support resources.
Category tags:An AI-driven tool that reviews GitHub pull requests in real-time, providing clear and intelligent code feedback using Groq-accelerated LLaMA models and the BLACKBOX.AI Coding Agent.
innoventors-blackbox-track
Flowrish AI helps students think better, not less. It guides reflection instead of giving answers—strengthening minds, not replacing them. Offline-first on Snapdragon X Elite, with LLaMA 3 locally and Groq online. Because learning should grow you.
42AI Qualcomm Track
Amagi is a proactive AI assistant that sees your screen, listens, remembers, and helps you stay focused—designed to run across devices with real-time context awareness
The Monad (AI-Smith Protocol) -Vultr Track
An AI-powered shopping assistant built with FastAPI, Groq API (LLaMA models), and Neo4j knowledge graph for personalized e-commerce experiences
Hackcelerate - Prosus Track
A privacy-focused toolkit for real-time screen OCR and audio transcription on any PC, combining universal image text extraction, audio-to-text, and fast local semantic search—powered by Edge AI and Groq API.
Illuminative Lab - Qualcomm Track
An AI-driven tool that reviews GitHub pull requests in real-time, providing clear and intelligent code feedback using Groq-accelerated LLaMA models and the BLACKBOX.AI Coding Agent.
innoventors-blackbox-track
Flowrish AI helps students think better, not less. It guides reflection instead of giving answers—strengthening minds, not replacing them. Offline-first on Snapdragon X Elite, with LLaMA 3 locally and Groq online. Because learning should grow you.
42AI Qualcomm Track
Amagi is a proactive AI assistant that sees your screen, listens, remembers, and helps you stay focused—designed to run across devices with real-time context awareness
The Monad (AI-Smith Protocol) -Vultr Track
An AI-powered shopping assistant built with FastAPI, Groq API (LLaMA models), and Neo4j knowledge graph for personalized e-commerce experiences
Hackcelerate - Prosus Track
A privacy-focused toolkit for real-time screen OCR and audio transcription on any PC, combining universal image text extraction, audio-to-text, and fast local semantic search—powered by Edge AI and Groq API.
Illuminative Lab - Qualcomm Track