Why Telecommunications Companies Need Conversational AI (New eBook)

Telco Customer Service

Nearly every telecommunications company today has deployed chatbots to improve customer service. This was a good initial step towards improving online customer service and enabling immediate omnichannel responses. But the bar is rapidly rising for customer experience. Primitive chatbots are inferior to modern, sophisticated and constantly learning Conversational AI systems. 

Telco Customer Service is Failing 

Telecoms have long struggled with customer satisfaction problems. For example, OnHoldWith.com collected more than 165,000 posts1 mentioning the phrase “on hold with” from Twitter. Twitter is the go-to platform for public customer complaints. The phrase “on hold with” is among the more commonly used expressions of frustration in the customer lexicon. Verizon was the most likely to be mentioned with both AT&T and Telus showing up in the top 10.

According to the 2018 American Customer Satisfaction Index industry report, telecommunications firms finished dead last2 among all classes of private companies (although telcos did beat the U.S. government on customer satisfaction – if that can be considered a victory).

This lack of customer satisfaction translates into real revenue losses. Customer satisfaction appears to be worsening as consumers become more connected and develop higher and higher expectations.

Conversational AI can deliver the C/X that chatbots can’t 

The first-generation chatbots deployed by telcos left customers underwhelmed and frustrated. Chatbots are terrible at identifying context, meaning “what is implied.”  They can’t answer complex questions that deviate even slightly from their script. They function more like Google searches, identifying keywords in queries and pointing to a hyperlink. When you consider that Comcast – a cable company, which also provides telecommunication and wireless phone services – found that its customers asked the simple question “I want to see my bill” in 7,500 unique word and phrase combinations, it’s understandable that these first generation chatbots got easily confused. 

Fortunately, a new generation of Conversational AI customer service platforms has arrived that go far beyond the capabilities of the first-generation chatbots deployed by most telcos. These Conversational AI systems incorporate advanced natural language systems that intuitively understand “I want to pay my bill” has nearly the same meaning as “I’d like to settle my account.” 

The impact Conversational AI can have on Telco customer service 

Conversational AI systems can increase customer satisfaction by making them feel heard and wanted. This, in turn, reduces churn and improves brand affinity while lifting Net Promoter Scores (NPS). Conversational AI, when properly deployed, can also inject personalized promotional offers into chats and emails to upsell additional services, like adding premium channels or faster WiFi, to existing customers.

Ultimately, the positive impact of Conversational AI can directly impact a company’s top and bottom lines, both in the short-term and long term. According to research by consultancy McKinsey3, when companies prioritized customer experience they increased revenue 10% to 15% and customer satisfaction rates were 20% higher.

In our latest eBook, we cover why Conversational AI is different than chatbots and why that’s important for future-proofing customer support technology initiatives and infrastructure at telcos to match future customer expectations of AI service capabilities. We explain the different levels of Conversational AI, a wide variety of use cases, and how to measure ROI of Conversational AI in the context of telecom business practices. Download your free copy today

References 

1. Hold It!: The Top 10 Worst Companies You Called in 2018 – https://fonolo.com/blog/2018/12/hold-it-the-top-10-worst-companies-you-called-in-2018/

2. ACSI National, Sector, and Industry Results, 2018 – https://www.theacsi.org/national-economic-indicator/national-sector-and-industry-results

3. Customer experience: Number 2, June 2017 New capabilities, new audiences, new opportunities, McKinsey – https://www.mckinsey.com/~/media/McKinsey/Featured%20Insights/Customer%20Experience/CX%20Compendium%202017/Customer-experience-compendium-July-2017.ashx

Emily Cummins

PR and Content Writer

Emily has worked in the AI industry for many years. She loves researching and writing about evolving trends in AI in customer service. She graduated from the College of Charleston.

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