How Luxury Handbags Can Help Solve AI's Context Problem
Go from knowing everything about a customer to knowing the one thing that moves them
TL;DR
- Clienteling, as practiced by Goyard, involves using precise customer context (like future plans) to personalize sales interactions.
- AI agents can replicate this personalized experience at scale, but success depends on providing them with the right context.
- Understanding customer context goes beyond raw data; it involves knowing 'who' they are and 'what' surrounds their decisions.
- To solve AI's context problem, businesses need to enrich customer data and then filter it to provide agents with only the most relevant information.
- Context engineering, using machine learning and filtering techniques, distills vast customer details into actionable insights for AI agents.
- The future of AI lies not just in powerful models, but in the ability to effectively leverage context, making interactions unique and impactful.