From AI Conversations to Data-Driven Decisions: Unlocking the Future of Customer Engagement

Discover how integrating AI virtual assistants with customer data hubs transforms engagement, featuring a case study with 50% containment rates and 440k monthly interactions.

Key takeaways
  • Integration of Tobi (virtual assistant) with Pega CDH platform enables data-driven customer engagement through natural language processing and automated decision-making

  • System achieves 50% chat containment rate with 440,000 monthly customer contacts handled and API responsiveness under 1.2 seconds

  • Architecture combines multiple cloud services (AWS, GCP) with custom microservices, using Kubernetes for deployment and infrastructure as code via Terraform

  • In-house NLU team developed 100+ entities and 154 customer journeys, with dedicated linguistic experts building language processing capabilities specifically for Greek

  • Custom data pipeline (DataMove) handles both real-time streaming and batch processing of customer data between systems while maintaining GDPR compliance

  • Platform maintains 99.95% uptime through redundant load balancers and automated deployment processes via Jenkins

  • Omnichannel approach ensures consistent customer experience across chat and voice channels through Genesys platform integration

  • System processes 1.4 million targeted campaigns monthly through automated workflows without manual intervention

  • Architecture includes PostgreSQL for static data and Cassandra for real-time customer information management

  • Voice capabilities being gradually rolled out through 2024 with full implementation targeted for 2025