日本語 
Pole To Win Co., Ltd., a company that supports the resolution of challenges in the service lifecycle, has launched “Doctor CS,” a log analysis-based quality improvement support service that solves challenges in customer support such as “not knowing where to start,” “not being able to predict the effects and making investment decisions,” and “not seeing results after introducing AI.” This service analyzes the causes of inquiries based on customer interaction logs and provides end-to-end support, from estimating the potential for reduction to proposing improvement measures.
In recent years, the adoption of AI in chatbots and FAQs has been progressing in the customer support field to improve efficiency and reduce costs. However, many companies face challenges related to AI implementation. PoleToWin has received many comments such as, “We tried implementing AI, but we didn’t get the results we expected and it ended up being more troublesome,” and “We don’t know the right timing or way to proceed with AI implementation, so we can’t make a decision.”
This situation stems from the fact that “AI is being introduced without a sufficient understanding of the actual state of inquiries,” highlighting the need for log-based analysis of the current situation and the design of appropriate improvement measures.
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“DoctorCS” is Pole To Win’s unique customer log analysis and improvement support service, based on the concept of being a “family doctor for efficiency” in customer service operations.
Therefore, Pole To Win leverages the know-how cultivated through many years of customer support operations to visualize issues through customer log analysis and provide improvement suggestions that lead to quality improvement through “Doctor CS”.
SOURCE: PRTimes
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