Deliver hyper-personalized recommendations with AI agents in Amazon Connect

This article demonstrates how to deliver hyper-personalized product recommendations using AI agents in Amazon Connect by leveraging customer data and predictive insights.

• Enable Data Store in Customer Profiles to collect and manage customer interaction data
• Ingest web analytics and clickstream data via S3, Kinesis, or PutProfileObject API
• Create predictive insights with five recommendation types: Recommended for you, Similar items, Frequently paired items, Popular items, Trending now
• Use Get profile recommendations flow block to generate real-time recommendations during customer contacts
• Create AI agents of Orchestration type to provide recommendations in self-service and agent-assist scenarios
• Access recommendations programmatically via GetProfileRecommendations API for web and mobile integration
• Transform recommendations using Lambda functions for use in Connect flows and prompts

This solution enables businesses to move beyond basic personalization and deliver proactive, AI-powered recommendations that anticipate customer needs across retail, airlines, telecom, and entertainment industries.