Transform Self Service Experiences with Ai and Amazon Connect Biz226

Title

AWS re:Invent 2023 - Transform self-service experiences with AI and Amazon Connect (BIZ226)

Summary

  • Jim Kreitler, a principal product manager, and his colleagues Mike Nolan and Marcelo Silva discussed transforming self-service experiences with AI and Amazon Connect.
  • They emphasized the importance of conversational experiences and the impact on customer satisfaction.
  • Amazon Connect is highlighted for its reliability, scalability, and integration capabilities, with tens of thousands of customers hosting over 10 million interactions daily.
  • The session covered the shift from static menu-based IVRs to conversational AI, leading to significant decreases in customer time spent in IVRs and transfer rates.
  • DoorDash's migration to Amazon Connect was showcased, demonstrating a 49% decrease in transfer rate and a 42% increase in routing efficiency.
  • The importance of an iterative approach, conversation design, and understanding customer types for successful IVR modernization was stressed.
  • New generative AI features in Amazon Lex were introduced, including Descriptive Bot Builder, Utterance Generator, Assisted Slot Resolution, and Conversational FAQ.

Insights

  • The voice channel remains a critical customer service touchpoint, with a preference for conversational experiences over static menus.
  • Businesses are increasingly leveraging AI to improve self-service options and reduce operational costs.
  • The success of conversational AI in IVRs is often measured by reduced time spent in the IVR and improved first call resolution rates.
  • Iterative development, A/B testing, and customer-centric design are key strategies for transitioning to conversational AI.
  • The integration of generative AI into Amazon Lex and Connect is a significant advancement, enabling more natural and efficient interactions between customers and self-service systems.
  • The use of generative AI in IVR systems can help businesses better understand and predict customer needs, leading to more personalized and effective customer service.
  • The session highlighted the ongoing evolution of customer service technology and the importance of staying current with AI advancements to maintain competitive advantage.