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GENESYS-Practical guide to Voice in the modern contact center

In a modern contact center, voice might seem old-fashioned

Last updated:
3 years ago
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Practical Guide to Voice in the Modern Contact Center

Voice communication may seem outdated in the modern contact center era, which has shifted significantly towards digital channels. However, voice remains a critical component and should be integrated into your omnichannel strategy. Voice is essential for complex issues or sensitive situations where digital channels or automated options are insufficient.

Contents
 Practical Guide to Voice in the Modern Contact CenterOh hi there 👋It’s nice to meet you.Sign up to receive awesome content in your inbox, every week.

Phase 1: Walk – Master the Basics

  • The Evolution of Voice Technology: Incorporate AI-powered routing, natural language understanding (NLU) IVRs, AI-driven agent assistance, conversation analytics, and seamless omnichannel experiences.
  • Empathy in Voice Interactions: Modern voice technology provides necessary support and context for personalized interactions, aiding agents with information and context.
  • New Strategy for Voice: Make voice a key part of your omnichannel strategy, embracing AI to support agents in handling complex interactions.

Phase 2: Run – Optimize the Customer Journey

  • Optimize Call Routing for Increased First Contact Resolution (FCR): Implement skills-based routing and improve IVR systems for efficient customer-agent matching.
  • Expand Agent Capabilities: Provide agents with comprehensive knowledge and tools for handling complex conversations and train them in advanced problem-solving and empathy.
  • Automated Options and AI-driven Insights: Utilize AI and analytics to optimize call routing and provide real-time guidance to agents.

Phase 3: Fly – Deliver Empathy at Scale

  • AI-Powered Predictive Routing: Leverage AI to adapt routing strategies in real time, focusing on customer intent for empathetic interactions.
  • Proactive Customer Engagement: Use outbound communication and AI to anticipate and address customer needs before they reach out.
  • Enhancing Employee Experience: Implement AI-driven tools for agent performance, scheduling, and personal development to improve overall employee satisfaction.

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