T-Mobile US has deployed an automated customer care resolution tool supplied by Tupl.
The ACCR tool provides T-Mobile US customer care reps with detailed and easy-to-understand cause reports and technical resolutions, Tupl says. The ACCR tool is said to be 100 times faster and up to four times more accurate than legacy resolution practices support, automating as much as 90 percent of such interactions.
A TM Forum survey suggests service providers already are using artificial intelligence to support chatbots for customer service, network automation and service management, while 70 percent of service provider executives are conducting “proof of concept” trials.
At least so far, improving customer experience is top reason for AI interest, followed by reducing operating expenses.
The survey of 187 executives from 76 communications service providers operating in 51 countries, and 115 executives from supplier companies also suggests some problems.
Since AI is designed to augment human intelligence and processes, reaping value presupposes that organizations actually understand their core processes well enough to augment them, and can do so, as a practical matter. The history of enterprises applying information technology and reaping rewards is spotty, though.
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