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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.
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Integration of Tobi (virtual assistant) with Pega CDH platform enables data-driven customer engagement through natural language processing and automated decision-making
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System achieves 50% chat containment rate with 440,000 monthly customer contacts handled and API responsiveness under 1.2 seconds
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Architecture combines multiple cloud services (AWS, GCP) with custom microservices, using Kubernetes for deployment and infrastructure as code via Terraform
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In-house NLU team developed 100+ entities and 154 customer journeys, with dedicated linguistic experts building language processing capabilities specifically for Greek
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Custom data pipeline (DataMove) handles both real-time streaming and batch processing of customer data between systems while maintaining GDPR compliance
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Platform maintains 99.95% uptime through redundant load balancers and automated deployment processes via Jenkins
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Omnichannel approach ensures consistent customer experience across chat and voice channels through Genesys platform integration
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System processes 1.4 million targeted campaigns monthly through automated workflows without manual intervention
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Architecture includes PostgreSQL for static data and Cassandra for real-time customer information management
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Voice capabilities being gradually rolled out through 2024 with full implementation targeted for 2025