We build custom AI systems for online retailers and e-commerce platforms , from AI product recommendations and semantic search to LangGraph customer support agents and demand forecasting. Built with LangChain, Qdrant, and PyTorch.
Every system is designed to increase conversions, reduce operational costs, and improve the shopping experience.
Deep learning recommendation engines that analyze browsing history, purchase patterns, and user similarity to surface the most relevant products for each visitor. Increases average order value by 15–30% and improves repeat purchase rates.
Semantic search that understands buyer intent, not just keywords. Built with LangChain and Qdrant vector search on your product catalog. Customers find what they need even with vague or natural language queries , reducing zero-result searches dramatically.
LangGraph agents that handle order inquiries, returns, product questions, and shipping updates autonomously. Connected to your order management system and product catalog via LangChain tool calling , resolving 70–80% of support tickets without human intervention.
RAG-powered chatbot trained on your product catalog, FAQs, and support documentation. Customers get accurate answers about product specs, compatibility, sizing, and availability , grounded in your actual content, not generic LLM responses.
PyTorch models that predict demand per SKU using historical sales, seasonal patterns, and marketing calendars. Reduces stockouts and overstock simultaneously. Deployed via FastAPI for daily or weekly forecasts integrated with your inventory system.
Custom AI features for Shopify stores , recommendation widgets, semantic search, AI chatbots, and analytics , built using the Shopify Storefront and Admin APIs. Works alongside your existing theme and apps without platform migration.
We build AI systems that connect directly to your product catalog, order data, and customer history , so every recommendation, search result, and chatbot response is grounded in your actual business data.
Our e-commerce AI stack uses LangChain and LangGraph for intelligent agents, Qdrant for semantic product search, PyTorch for recommendation and forecasting models, and FastAPI for real-time inference , all integrated with your existing platform, whether Shopify, custom-built, or headless commerce.
Shopify, WooCommerce, custom-built, or headless , we integrate with what you have.
AI trained on your actual catalog, not generic product descriptions.
Every feature is tracked , conversion lift, AOV increase, ticket reduction.
Most e-commerce AI features ship in 4–8 weeks.
Schedule a free consultation. We will review your platform, identify the highest-impact AI features, and outline a delivery plan.