Market Optimization Specialist

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The problems come from various aspects such as technical bottlenecks, complex algorithms, lack of data, and high costs. Where is the solution? Or what should a customer service model that can truly be transformed into corporate productivity look like? The answer was given at the conference on the 2nd of the month. As a product line for call center sales scenarios within Ronglian Cloud, it was officially put on the stage. If the Ronglian Cloud Chitu big model corresponds to the strengthening of the capabilities of the single point of customer service, that is, helping robot customer service and manual customer service to be strengthened at the level, then it helps enterprises build the entire internal customer service project of the good era from the perspective of the network level, that is, the customer service operation middle platform.


From point to surface and from surface to productivity. A more qatar whatsapp resource concrete industrial implementation expression of the customer service big model is emerging. 1. Evolution and "shortcomings" of customer service operations "We tried several large-scale customer service products at first, but later we removed them all." The above tells us that "we mainly found that the connection between large models and manual work could not be done well, and we could not control the output of large-scale customer service." From the perspective of the development of intelligent customer service, with the emergence of robot customer service, the track has entered a larger imagination space, that is, from pure manual customer service to the era of "manual customer service + robot customer service".


Even many companies have adopted the method of all robot customer service. For enterprises, while ensuring the effect, it reduces the cost of the customer service center to a certain extent. But there are still many problems in the middle. From the perspective of the implementation effect, the robot customer service itself corresponds to a knowledge base composed of fixed question and answer pairs. Because the corresponding sample knowledge behind it is small, the overall answer logic is more rigid than manual work, and it is impossible to complete multiple rounds of dialogue. It is difficult to achieve the ultimate customer service work. In addition, there are even greater disadvantages for the sales function of robot customer service.