Automated Customer Service for a Global Telecommunications Company

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Project overview

Client: A global telecommunications company with millions of customers worldwide. 

Objective: The company sought to automate its customer support operations using Pega System to improve efficiency, reduce response times, and enhance customer satisfaction across multiple support channels: email, chat, and phone. The goal was to create a unified platform to manage customer interactions while enabling personalized and proactive support. 

Solution: Implemented a Pega-powered customer service automation platform to handle omnichannel customer support, leveraging AI and automation for faster resolutions and seamless customer experiences. 

The challenge of project

Solution

A Pega Customer Service Automation Solution was deployed to address these challenges, enabling the company to streamline and optimize customer support across all channels.

A. Unified Omnichannel Support

Centralized Interaction Hub

  • Pega’s omnichannel capabilities unified email, chat, and phone support into a single platform.
  • Agents could access a complete interaction history regardless of the channel used, ensuring continuity.

Dynamic Case Management

  • Customer queries were automatically categorized into cases, prioritized based on urgency, and routed to the appropriate team.

AI-Powered Chatbots

  • AI-driven chatbots handled common queries in chat and email channels, such as:
    • Billing inquiries
    • Plan upgrades
    • Service troubleshooting
  • The bots seamlessly escalated complex issues to live agents when needed.

Phone Support Automation

  • Integrated Interactive Voice Response (IVR) with Pega’s decisioning engine to guide callers through self-service options.
  • Agents received full context of the customer’s IVR journey, reducing the need for repetition.

B. AI and Automation

Natural Language Processing (NLP)

  • Used Pega’s NLP capabilities to analyze customer inquiries from emails and chats, extracting intents and sentiments for accurate routing and prioritization.

Automated Workflows

  • Repetitive tasks, such as generating invoices, resetting passwords, and checking service availability, were automated, reducing manual intervention.

Proactive Support

  • Leveraged AI to predict potential issues (e.g., network outages) and proactively notify affected customers with resolution timelines.

Real-Time Decisioning

  • AI models recommended the best actions or responses for agents based on the customer’s history, preferences, and current context.

C. Personalization and Data Integration

Unified Customer Profiles

  • Integrated data from CRM, billing, and usage systems into Pega, providing agents with a 360-degree view of each customer.

Personalized Interactions

  • Responses were tailored based on the customer’s past interactions, preferences, and sentiment analysis.

Self-Service Enhancements

  • Customers could resolve issues independently through a personalized portal, reducing dependence on agents.

D. Analytics and Reporting

Real-Time Dashboards

  • Pega’s analytics provided managers with real-time insights into case volumes, resolution times, and agent performance.

Customer Insights

  • AI-driven insights helped identify trends in customer issues, enabling the company to address root causes proactively.

Compliance Monitoring

  • Automated audit trails ensured adherence to data privacy and compliance regulations across all regions.

Final results

The implementation of the Pega System delivered transformative results for the telecommunications company: 

  • Improved Efficiency: Automated workflows and chatbots resolved 60% of queries without agent intervention, freeing up resources for complex cases. 
  • Faster Response Times: Average response times were reduced by 50%, enhancing customer satisfaction. 
  • Scalability: The system scaled seamlessly to handle 200% increases in inquiry volumes during peak periods, such as promotional campaigns. 
  • Enhanced Personalization: Personalized responses and proactive support led to a 35% increase in customer satisfaction scores (CSAT). 
  • Cost Savings: Reduced operational costs by 30% through automation and efficient resource allocation. 
  • Regulatory Compliance: The solution ensured full compliance with global data privacy regulations, reducing compliance-related risks 

 

Project Details
Client:  German Telekom Company
Category:  BPMN
Date:  2021

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