WITH THE RIGHT STRATEGY, AND, IF NEEDED, NETWORK ENHANCEMENTS, WebRTC AND AI CAN HELP CONTACT CENTERS TO DELIVER EXCEPTIONAL CXS...
• Agents can use it to more quickly resolve issues through screen sharing or co-browsing with customers while providing them with real-time visual guidance.
• It can improve customer support by making it easier for remote contact center agents to work from anywhere by using just a web browser. By doing so, it enables centers to recruit and retain the best agents regardless of location( provided they have robust internet access).
Some of the other ways contact centers can leverage WebRTC in day-to-day operations include:
• Browser-based calling. WebRTC enables direct audio and video communication within web browsers, thus eliminating the need for plugins or downloads. This allows customers to initiate calls directly from websites or web applications.
• Click-to-call functionality. Integrating WebRTC with websites or CRM systems allows for seamless click-to-call functionality, connecting customers with agents instantly.
• Video conferencing and collaboration. WebRTC facilitates video conferencing for customer support, enabling agents to provide visual assistance and build stronger rapport.
• Omnichannel integration. WebRTC can be integrated with other communication channels, such as chat and social media, to create a unified omnichannel experience.
PREPARING FOR WebRTC
While WebRTC offers many advancements, it also presents some challenges for contact center owners and managers.
For instance, contact center operators should be prepared to accommodate WebRTC’ s performance needs, which depend on network connectivity, and that can vary. There may also be compatibility and consistency issues across different browsers and devices, which can impact performance.
Finally, implementation can be complex when integrating WebRTC with existing contact center infrastructure. Operators must also update security policies and procedures to ensure they are sufficient to protect sensitive customer data during WebRTC calls.
THE AI + WebRTC BENEFITS
Meanwhile, another transformation in the contact center is the emergence of AI, which is now being used across a wide range of customer service functions, including WebRTC.
From harnessing natural language processing( NLP) and machine learning for enhancing agent productivity, to leveraging generative AI for enhancing CXs, AI is dramatically changing contact center infrastructure and processes. And it will continue to do so over the next decade.
As more contact centers use increasingly robust AI-powered virtual assistants for routine inquiries and provide self-service options, more agents are freed up to resolve complex issues.
Furthermore, since AI can provide agents with real-time information and even predict customer needs, it is enabling the agent to be better prepared for the call. The Gitnux study cited earlier also found that 55 % of contact centers experience increased customer satisfaction after implementing AI.
When it comes to WebRTC specifically, AI boosts efficiency and effectiveness in various ways. Particularly when it comes to providing agents with valuable insights that enable them to tailor their responses.
• AI algorithms can analyze customer data and context to route WebRTC calls to the most appropriate agents or departments. It’ s already making an impact by facilitating real-time transcription and sentiment analysis for agents during WebRTC calls.
WebRTC
• AI optimization of audio and video quality in WebRTC calls, which minimizes disruptions and enhances the CX.
WITH THE RIGHT STRATEGY, AND, IF NEEDED, NETWORK ENHANCEMENTS, WebRTC AND AI CAN HELP CONTACT CENTERS TO DELIVER EXCEPTIONAL CXS...
SMOOTHER TRANSITION TO AI-POWERED WebRTC
Contact center operators should aim to integrate WebRTC into a broader omnichannel strategy to create a unified CX and ensure that customer context is maintained across all channels.
Therefore, it is critical to ensure that the contact center network infrastructure is robust enough to support WebRTC ' s real-time communication requirements. This means that increased investment in network monitoring and optimization tools may be necessary.
Also important is ensuring that AI is used to enhance, not replace, human interactions in WebRTC sessions. The goal should be to empower agents with AI-powered assistance in ways that ultimately improve both customer service quality and overall efficiency. For example, AI-powered tools can provide real-time assistance, automate routine tasks, and enhance the CX.
With the right strategy, and, if needed, network enhancements, WebRTC and AI can help contact centers to deliver exceptional CXs and drive business success by helping customers along their journeys.
As Chief Sales Officer at Luware, David Fischer brings over two decades of expertise in customer service and IT solutions. His strategic leadership has been crucial in sculpting Luware ' s growth trajectory, ensuring that the solution portfolio not only meets but anticipates customer demands.
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