Revenue Transformation Solutions Specialist

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Although it can replace manual seats to a certain extent, this substitutability also weakens the customer service's ability to data, demand transactions, order management, crowd portraits, etc. It is difficult to show sales capabilities. This is also the value of the big model. With the emergence of the year, including the Chitu large model and a series of customer service large models and corresponding products, the robot customer service has officially completed the last piece of the puzzle. According to a set of incomplete data statistics, as of now, nearly 100 retailers in the world have adopted customer service products, covering online, voice, video and other aspects.


From the perspective of the single-point capability of the product, compared portugal whatsapp resource with the original rigid capabilities corresponding to the small sample knowledge base, now based on the large model, enterprises can use a faster way, a larger sample size, and more dimensional data to jointly form the foundation behind the robot customer service, and finally build a front-end customer service with stronger question answering ability, stronger lead conversion ability, and stronger and more proactive demand response ability. But the development of things often has two sides. A report released at the end of last year showed that for consumers, as many as 100% of the respondents said that they did not want customer service to be used.


If the respondents found that a company's customer service was used, they would consider turning to competitors. What is the reason? Or is there a problem with the way customer service is opened? The essence of technology is to promote the progress of productivity, but no matter in which period, for productivity, if it wants to enjoy the positive promotion brought by technology itself, it must do is to truly embed technology into the industrial process. In other words, let it become the bottom of industrial services. In fact, this is precisely the reason why the big model has been difficult to implement in enterprise scenarios and industrial fields.