A leading North American telecommunications company partnered with eClerx to restructure its telecom customer support operations around AI. The transformation lifted customer satisfaction from 71% to 85% and raised query resolution from 60% to over 80%.

As one of the largest telecom companies in the United States, the client’s growth has been rapi. As subscribers increased and expectations evolved, existing data management systems could not handle the high volume.

This in turn affected key performance targets, team morale, and strategic promotions, putting important metrics at risk. To address these issues, the company decided to future-proof its growth and use AI to improve the efficiency of its customer support operations.

The challenge

Surging numbers of subscribers and the subsequent flood of technical support queries overwhelmed the company’s customer support team. The client was seeing increased call handling times, a drop in customer satisfaction scores from 85% to 71%, and unresolved call volumes spiking to 43%.

Existing data management systems were insufficient for the rapid analysis required, jeopardizing key performance indicators, team morale, and strategic promotions. The company sought an innovative solution to optimize its support operations.

Our strategy

At a North American artificial intelligence summit, the head of customer support discovered eClerx’s AI-driven customer support enhancements. The partnership that followed rebuilt the provider’s telecom customer support operations around AI, working across four fronts:

• AI-powered chatbots: Deployed bots with voice-to-text and natural language processing to intelligently triage customer issues and guide customers toward swift resolutions.
• Predictive issue analysis: Trained an AI model on support data to anticipate customer issues and close the rapid-analysis gap that the existing systems couldn’t.
• Customer support automation: Absorbed routine, high-volume queries so the team could handle rising volumes without additional recruitment.
• Future-proofing: Built the new support model to solve the immediate issues and adapt as the department’s needs evolve.

How AI is transforming telecom customer support

This client’s story follows a pattern that most customer support teams will recognize. Subscriber bases grow faster than support teams do, and every network hiccup or device launch sends call volumes spiking in ways no staffing plan can absorb.

For years, the only solution was to hire ahead of demand or wait and watch hold times climb.

AI in telecom customer support changes that trade-off. AI-powered customer support platforms now triage issues before an agent picks up, using natural language processing to understand what a customer actually needs rather than which menu option they pressed.

Predictive models flag the likely problem from account and network data, so resolution starts earlier. And contact center automation absorbs routine volume, such as plan queries, payment confirmations, and password resets—leaving agents free for the technical cases that genuinely need a human.

The result

The implementation of the artificial intelligence system dramatically transformed customer support operations. Key results included:

• Reduction in call handling times, significantly enhancing efficiency and customer experience.
• High predictive accuracy, with the artificial intelligence model predicting customer issues with 92% accuracy, significantly improving the query resolution rate from 60% to over 80%.
• Elevated customer satisfaction, achieving a customer satisfaction score of 85%, surpassing pre-pandemic levels, and restoring confidence in customer support.
• Optimized team bandwidth, allowing the team to handle increased volumes effectively without additional recruitment, thus maintaining cost efficiency.

This AI-driven customer service system not only addressed the pressing challenges but also established new benchmarks for operational excellence in telecom customer experience.  

How eClerx can help

eClerx helps telecom operators modernize support with AI, drawing on its customer experience services and AI capabilities. If rising volumes are stretching your team, or you want to see what contact center automation could absorb before the next hiring round, contact us to learn how a similar approach could work for you.

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