AI chatbot for an online clothing store

Built a Django system with an OpenAI-powered chatbot for a clothing e-commerce store: personalized recommendations based on catalog and conversation history, automatic product description generation, intelligent session handling. The bot replaced first-line support and became a sales tool.

The store received 200+ daily customer inquiries about sizing, availability, and styling advice. Two full-time support agents could not keep up during peak hours, leading to 40% of chats going unanswered and lost sales.

• Integrated OpenAI GPT-4 with the full product catalog (3,000+ SKUs) via embeddings and vector search
• Built context-aware conversations — the bot remembers previous interactions and purchase history
• Automated product description generation for new arrivals, cutting content creation from 2 hours to 5 minutes per batch
• Added intelligent handoff to human agents for complex cases, with full conversation context preserved
• Multilingual support (English, Spanish, Russian) with automatic language detection

• 70% of customer inquiries handled without human intervention
• 35% increase in conversion rate from chatbot-assisted sessions vs unassisted
• Average response time reduced from 12 minutes to under 3 seconds
• Support team reduced from 2 full-time agents to 1 part-time, saving EUR 2,800/month
• Product descriptions for 500+ items generated in the first week