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GenAI-driven customer care for multichannel business

URN M24.5.737
Topics AI (Artificial Intelligence), B2B Services, Customer experience management

Unlocking new revenue streams with a GenAI-powered care co-pilot for seamless multi-channel interactions: empowering care teams, enhancing self-care, and supporting wholesale customers.

Up to 50% of customer interactions are focused on concerns about service quality and issues. But what if these interactions could be transformed into opportunities to boost customer loyalty (NPS), generate new revenue streams, and reduce technical support costs by up to 70%? Communications Service Providers (CSPs) face a dual challenge: slower-than-expected growth combined with increasing cost pressures. Generative AI offers a powerful solution, with the potential to improve efficiency by up to 40%, according to industry analysts like McKinsey. Beyond cost savings, GenAI can enhance revenue through intelligent upsell recommendations integrated seamlessly into the customer care journey. In practice, end-to-end customer care extends beyond simple chatbots. It encompasses everything from optimizing internal care team workflows to enhancing support for wholesale customers reselling CSP services. Effectively managing this full landscape is key to unlocking the business value of GenAI-driven customer care. Success in automating complex processes relies on combining Predictive AI-focused on expert data analysis and operational decision-making – with GenAI, which handles customer engagement. Building trust, avoiding AI-generated inaccuracies, and ensuring reliable decision-making are critical to delivering a seamless, multi-channel automated care experience that can drive true digital transformation. This Catalyst's proposed solution leverages GenAI and AI/ML technologies to create a fully integrated, end-to-end AI-driven Care Experience. This approach supports wholesale, Assisted Care, and end-user channels, dramatically reducing the time and costs associated with resolving customer issues. By harnessing network data for issue detection and resolution, we tailor responses to fit specific communication channels. This solution integrates seamlessly with BSS platforms, enabling personalized customer care and equipping Care teams with GenAI-driven Copilot tools and advanced case management features, ensuring effective follow-up through SLA compliance and KPI monitoring.

Resources

Imagine a customer contacting customer care with a service issue or a question. Instead of navigating a complex maze of automated responses, they receive personalized, relevant support quickly. Our solution not only assists the end-users directly but also supports care teams and wholesale customers who resell our services. By integrating Gen AI with Predictive AI and Machine Learning (AI/ML), we ensure that every stage of the customer care process is optimized for efficiency. In essence, our AI-driven Care Experience not only speeds up issue resolution but also significantly cuts down the associated costs. By using AI to detect and address network problems and customizing communication styles for different channels, we enhance both end-user and care team experiences. We are thrilled to showcase how our solution can revolutionize customer care at Innovate Asia in November 2024. Please find below supporting material to learn more about our Catalyst before, during, and after the event.

1. Presentations

Overview Presentation

2. Videos

Trailer

Demovideo

3. Supporting Articles

McKinsey: The economic potential of generative AI: The next productivity frontier

Digital Transformation Tracker Report: How Automation and AI Promise to Help Operators Reduce Network and Service Complexity

Ofcom Annual Customer Survey (May 2023): Comparing Customer Service: Mobile, Landline and Home Broadband

4. Infographic

Project summary infographic

Contact team

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Team members

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Econet Wireless Zimbabwe logo
Champion
Etisalat UAE logo
Champion
PT Telekomunikasi Indonesia International logo
Champion
Qvantel Oy logo
Tupl logo
Unitel Group logo
Champion

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