Pole To Win Launches Log Analysis Support Service 'Doctor CS': Supporting Data-Driven Decision-Making and Efficiency

Pole To Win has launched "Doctor CS," a log analysis-based quality improvement support service designed to help companies overcome challenges in customer support, particularly those related to AI implementation. The service analyzes customer interaction logs to identify inquiry causes, estimates reduction potential, and proposes concrete improvement measures. This aims to support data-driven decision-making and enhance efficiency in customer service operations.
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  • 📰 Published: April 6, 2026 at 20:00
  • 🔍 Collected: April 6, 2026 at 11:30
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Pole To Win Co., Ltd. (Headquarters: Nagoya City, Aichi Prefecture; Representative Director CEO: Kazuaki Shimura; hereinafter "Pole To Win"), which supports problem-solving throughout the service lifecycle, has launched "Doctor CS," a log analysis-based quality improvement support service that addresses challenges in customer support such as "not knowing where to start," "inability to make investment decisions due to uncertain effects," and "failure to achieve results after AI implementation." This service provides comprehensive end-to-end support, from analyzing the causes of inquiries based on customer interaction logs and calculating potential reductions to proposing improvement measures.

In recent years, AI implementation in chatbots and FAQs has been progressing in the customer support domain to improve efficiency and reduce costs. However, many companies face challenges related to AI adoption. Pole To Win has received numerous comments such as "We implemented AI, but it didn't produce the expected results and actually increased effort," and "We don't know the appropriate timing or approach for AI implementation, making it difficult to make a decision."

Behind these issues lies the problem of "implementing AI without sufficiently understanding the actual state of inquiries," which calls for current situation analysis based on logs and the design of appropriate improvement measures.

About 'Doctor CS', a Log Analysis-Based Quality Improvement Support Service

■Service Overview

'Doctor CS' is Pole To Win's unique customer log analysis and improvement support service, conceptualized as a 'family doctor for efficiency' in customer service operations.

While AI implementation is advancing, there are still many cases where AI cannot fully handle situations, or where humans are responsible for final decisions, making human knowledge and judgment remain crucial. However, the customer interaction logs accumulated daily are enormous, and in many cases, they are not fully utilized for identifying issues or analyzing causes.

Therefore, Pole To Win leverages its extensive know-how cultivated through years of customer support operations to visualize issues from customer log analysis and provide improvement proposals that lead to quality enhancement through 'Doctor CS'.

This service consists of the following four steps:

① Examination (Log Analysis): Categorize inquiry content and organize main inquiry themes and causes.

② Diagnosis (Priority Selection): Extract inquiries that can be automated and prioritize highly effective measures.

③ Assessment (Reduction Effect Estimation): Simulate the inquiry reduction effect of each measure, such as FAQ improvement and chat implementation.

④ Prescription (Improvement Proposal): Formulate an executable improvement roadmap based on priority and effect.

■Use Cases

Ideal for these challenges:

・Want to implement AI in customer support, but investment decisions and internal explanations are difficult.

・Don't know the priority of improvement measures for customer support transformation.

・Implemented AI, but don't feel the effects and it has become a bottleneck.

■Service Offerings and Schedule

This service is conducted over approximately 4-6 weeks, from the receipt of customer interaction logs to analysis and improvement proposals. Within this period, a report of the analysis results and concrete improvement proposals will be delivered. Execution support after the improvement proposals will proceed after individually coordinating the support method based on the proposed content.

Contact for Media Relations

For questions or requests for project consultations, please contact us at the following:

https://www.service.ptw.inc/contact/?utm_source=prtimes&utm_medium=referral&utm_campaign=20260406

About Pole To Win Co., Ltd.

Pole To Win Co., Ltd. is a company primarily engaged in IT services such as game debugging, software testing, and net support. Established in 1994 with its game debugging business, it achieved an 800% growth rate within five years of its founding. Since then, it has continued its journey as a pioneer in the game debugging business.

Furthermore, in February 2022, it absorbed group companies. It embarked on a new start with "Pitcrew," which has supported various web services through e-commerce fraud countermeasures and customer support, and "Qoors," which has contributed to resolving defects through software testing and quality consulting. We have been working to solve various customer problems, mainly in the game industry and e-commerce industry. We will utilize the knowledge, know-how, and diverse human resources cultivated through these experiences to improve the quality and value of services and products in the world.

【 Company Overview 】

Company Name: Pole To Win, Inc.

Head Office Location: 1-5-9 Imaike, Chikusa-ku, Nagoya City, Aichi Prefecture

Representative Director CEO: Kazuaki Shimura

Business Activities: Debugging, Net Support, Software Testing

Establishment: January 20, 1994

Corporate Website: https://www.ptw.inc/

Service Website: https://www.service.ptw.inc/

Note: https://note.com/ptw_note

Official X: https://x.com/Pole_To_Win_

Contact for Media Relations

Pole To Win Co., Ltd.

Public Relations Department MAIL: pr@ptw.inc