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2898: #Xperience24: Coca-Cola Bottlers' Sales & Services AI Innovation

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Manage episode 418784706 series 2391590
Content provided by Neil C. Hughes. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Neil C. Hughes or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In today's episode of Tech Talks Daily, we dive into an insightful conversation with Nicole Thomas, VP of Customer Care Center at Coca-Cola Bottlers' Sales and Services Company (CCBSSC).

Nicole shares how CCBSSC has extended the capabilities of the platform by utilizing Genesys Dialog Engine Bot Flows to introduce an innovative account finder voicebot. This technology determines the customer’s identity and intent before connecting them to an agent, ensuring inquiries are routed efficiently and eliminating multiple transfers. As a result, the customer care experience has become smoother and more effective.

Additionally, Nicole discusses how integrating tools from the Genesys AppFoundry® Marketplace, like Help Lightning, has revolutionized technical support. Through video chat, technicians can now visualize and resolve issues remotely, leading to a 12% improvement in fix rates and significant cost savings by reducing the need for site visits.

We explore the impressive outcomes of these technological advancements, including the correct identification and routing of over 80% of calls by voicebots, a $1 million savings in technician site visits, and a 50% TCO reduction. These achievements highlight the profound impact of embracing cloud-based solutions and AI-driven technologies.

How does a global brand like Coca-Cola continuously innovate to maintain its market leadership? What lessons can other businesses learn from CCBSSC’s journey with Genesys Cloud? Tune in to discover the strategies behind these successes and how they shape the future of customer care.

  continue reading

2046 episodes

Artwork
iconShare
 
Manage episode 418784706 series 2391590
Content provided by Neil C. Hughes. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Neil C. Hughes or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In today's episode of Tech Talks Daily, we dive into an insightful conversation with Nicole Thomas, VP of Customer Care Center at Coca-Cola Bottlers' Sales and Services Company (CCBSSC).

Nicole shares how CCBSSC has extended the capabilities of the platform by utilizing Genesys Dialog Engine Bot Flows to introduce an innovative account finder voicebot. This technology determines the customer’s identity and intent before connecting them to an agent, ensuring inquiries are routed efficiently and eliminating multiple transfers. As a result, the customer care experience has become smoother and more effective.

Additionally, Nicole discusses how integrating tools from the Genesys AppFoundry® Marketplace, like Help Lightning, has revolutionized technical support. Through video chat, technicians can now visualize and resolve issues remotely, leading to a 12% improvement in fix rates and significant cost savings by reducing the need for site visits.

We explore the impressive outcomes of these technological advancements, including the correct identification and routing of over 80% of calls by voicebots, a $1 million savings in technician site visits, and a 50% TCO reduction. These achievements highlight the profound impact of embracing cloud-based solutions and AI-driven technologies.

How does a global brand like Coca-Cola continuously innovate to maintain its market leadership? What lessons can other businesses learn from CCBSSC’s journey with Genesys Cloud? Tune in to discover the strategies behind these successes and how they shape the future of customer care.

  continue reading

2046 episodes

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