Retail Odyssey

multi-agent in display
multi-agent in display
multi-agent in display
grafana dashboard
multi-agent in display

Retail Odyssey is an AI-powered shopping assistant that transforms online fashion retail through multi-agent collaboration. It combines conversational AI, visual search, product recommendations, and real-time competitor filtering to create an engaging "shopping odyssey" experience for Frasers Group customers. Why It Wins

Reply Challenge (Multi-Agent Group Conversation Design): 5 specialized AI agents working together seamlessly Intent classification routes conversations to appropriate agents Context sharing between agents for coherent multi-turn dialogues Asynchronous agent collaboration with thinking indicators

Frasers Challenge (Next-Gen Retail Engagement): Shopping cart with real-time price tracking Visual journey timeline showing customer's shopping path Competitor brand filtering (25+ brands blocked) Product recommendations with grounding to Frasers inventory Image generation for outfit visualization

Grafana Challenge: Real-time business metrics dashboard (11 panels) Agent performance monitoring Session analytics and conversion tracking

Hackathons UK (AI Agents on ARM): Multi-arch Docker support (ARM64/x86) Runs on Raspberry Pi 4/5 and Apple Silicon Optimized for edge deployment

Theme (Odyssey): Journey timeline visualization Shopping as an adventure narrative Progressive discovery through agent interactions