This is like having a knowledgeable Ralph Lauren sales associate in your phone or browser that you can chat with in plain English. You ask about outfits, styles, sizes or occasions, and it guides you to the right products and combinations, powered by AI instead of a human associate.
Reduces friction in online shopping by replacing static catalogs and filters with a conversational assistant that understands customer intent, provides personalized product recommendations, and mimics in-store styling help—aimed at increasing conversion rates, basket size, and customer satisfaction while lowering support load.
Brand-specific styling knowledge and product data from Ralph Lauren, plus tight integration of the experience into Ralph Lauren’s digital and store ecosystem, creating a sticky, branded concierge that is hard to replicate generically.
Hybrid
Vector Search
Medium (Integration logic)
Context window cost and latency for handling rich product catalogs, plus concurrency during peak shopping periods.
Early Majority
Jointly branded and co-built by a luxury fashion house (Ralph Lauren), a global SI (Infosys), and a hyperscaler (Microsoft), focusing specifically on conversational luxury shopping and styling rather than a generic ecommerce chatbot.