The telecommunications industry has struggled to maintain consumer loyalty over the last decade, but could the power of generative AI help brands reimagine their customer experience management for the better?
In an industry where it is difficult for brands to differentiate themselves, offering frictionless customer journeys has quickly become a core asset for telecom organizations to gain a competitive edge. Despite this, the telecom sector still suffers from high levels of churn and dissatisfaction, with recent cost-cutting initiatives and rising agent turnover rates adding even more complications to their touchpoints.
However, the meteoric growth of generative AI in telecom IT solutions has shown these brands that they can embrace both cost savings while also radically transforming their customer experience management to better meet increased expectations. From streamlining touchpoints for agents to enabling more targeted training, here are several examples of how generative AI can improve the telecom customer journey.
How GenAI can enhance customer experience management
- Smarter support for human agents
Contact centers remain a major pain point, with consumers facing long wait times and frequent call transfers that erode their brand loyalty. Additionally, the rising volume of interactions from support channels and the lack of data analytics in telecom industry have left agents feeling overwhelmed and underprepared, leading to high turnover and a further decline in support quality.
Thankfully generative AI has already proven its value with telecom IT solutions, with 85% already seeing improvements to their customer experience management after implementing them. Through handling repetitive tasks like ticket creation and call summaries, AI empowers agents to focus more on efficiently resolving issues and strengthening customer relationships instead of filling out forms.
However, one of GenAI’s most promising features comes in the form of its speech recognition capabilities. real-time speech recognition. Leveraging machine learning (ML) and Natural Language Processing (NLP), these tools can predict customer satisfaction (CSAT) and net promoter scores (NPS) by analyzing customer tones and specific keywords. This enables agents to hyper-personalize their approach during interactions to a far greater degree—whether pivoting to calm a frustrated caller or identifying upsell opportunities during a positive conversation.
- Improved onboarding and targeted training
Agents working in the telecom industry regularly have to wear multiple hats, providing support across a variety of services from internet to cable, all while being expected to upsell and keep customers loyal. Due to this overwhelming nature, it can be tough for brands to ensure their new hires are fully prepared while confirming that current agents stay updated on protocols.
By processing 100% of interactions throughout the customer journey, generative AI technology can provide better data analytics in telecom industry, helping supervisors better identify any training gaps in their contact centers. For example, if an agent is identified as not making many upsell attempts, supervisors can set up time to help them better identify these opportunities and how to naturally work them into a conversation.
Such solutions not only help enhance the many touchpoints within the telecom sector, but also boost agent confidence and satisfaction, reducing turnover and guaranteeing happier customers
- Comprehensive compliance monitoring
In the telecom industry, it is vital for brands to ensure they are compliant with any regulatory requirements. If an agent happens to engage in a non-compliant action, telecom organizations risk significant legal issues, financial penalties, and a negative impact to their credibility.
Through its ability to target common keywords tied to examples of non-compliance, telecom IT solutions using GenAI tools can automatically flag interactions that could possibly violate any regulations and send them to supervisors. From there, CX teams can proactively prevent any deviations from the established protocol, and even implement additional training to ensure agents remain compliant.
Additionally, generative AI tools also gather data analytics in telecom industry and log its compliance monitoring activities, making it significantly easier for telecom organizations to be prepared for any regulatory audits that may happen.
eClerx’s QA360: The future of quality assurance in telecom IT solutions
Although generative AI can be a powerful tool to enhance customer experience management, not all brands currently have the skills or planning required to incorporate this technology into their current processes. With 25% of gen AI efforts predicted to fail in 2025, it’s more important than ever to have a reliable solution tailored exactly for your organization’s needs.
To help enable our clients quickly join the AI revolution, eClerx developed QA360, our proprietary generative AI-powered QA tool, an easy-to-use solution that delivers meaningful insights into the status of both customer journeys and CX programs.
Recently, one of our longtime telecom clients began to face a decline in customer retention due to limited data analytics in telecom industry. Without visibility into the behavior and satisfaction of their consumers, they were unable to identify solutions. Introducing QA360 into the client’s CX processes, eClerx’s team of CX specialists were able to provide detailed near real-time insights into the performance of their agents and the recent increase in customer churn. This allowed supervisors to plan for more targeted training for agents, significantly improving their first call resolution rates by 35% and reducing their customer churn by 5% each month.
Ensure your business stands out with eClerx
At eClerx, we recognize that these digital transformations do not happen overnight, and data analytics in telecom industry are tough to access. That is why we offer our clients in-depth CX and Technology consulting services, as well as access to our award-winning GenAI360 and QA360 tools, to ensure their organization is prepared to embrace the future of CX.
Contact us today, and our team will reach out to discuss your organization’s current needs and work with you to analyze which touchpoints in your customer journey could benefit the most from generative AI.