Help Desk Product List and Ranking from 5 Manufacturers, Suppliers and Companies | IPROS

Last Updated: Aggregation Period:Feb 18, 2026~Mar 17, 2026
This ranking is based on the number of page views on our site.

Help Desk Manufacturer, Suppliers and Company Rankings

Last Updated: Aggregation Period:Feb 18, 2026~Mar 17, 2026
This ranking is based on the number of page views on our site.

  1. PKSHA Technology Tokyo//Information and Communications
  2. 日工テクニカルサービス Tokyo//others
  3. DXソリューション Tokyo//Information and Communications
  4. シーイーシーカスタマサービス 本社 Kanagawa//Information and Communications
  5. Malme Tokyo//Information and Communications

Help Desk Product ranking

Last Updated: Aggregation Period:Feb 18, 2026~Mar 17, 2026
This ranking is based on the number of page views on our site.

  1. Reasons why major companies choose PKSHA as their AI help desk. PKSHA Technology
  2. PKSHA AI Help Desk PKSHA Technology
  3. AI Help Desk: Trust and Track Record of PKSHA, Listed on the Tokyo Stock Exchange Prime Market PKSHA Technology
  4. [Case Study] Hanwa Co., Ltd. PKSHA Technology
  5. Knowledge management where humans and AI co-evolve, pioneered by PKSHA AI. PKSHA Technology

Help Desk Product List

31~35 item / All 35 items

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Accelerate access to information! The AI help desk guides you to the contact point.

AI instantly determines "where it is" and "who to ask."

There are many cases where people cannot find the necessary information even after searching for it, or they waste time not knowing where to make inquiries. The AI Help Desk instantly provides appropriate information sources and contact points based on the content of the questions. This eliminates "information lost" within the company to zero and thoroughly eliminates wasted time on inquiries. *The experience flow that alleviates the stress of information retrieval is detailed in the materials.

  • Chatbots
  • Help Desk

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Digitalization of inquiry management by the AI help desk and real-time sharing.

Break through the limits of Excel management and visualize response status.

Inquiry management in Excel faces many issues, such as file regression, data bloat, and insufficient notifications. The AI help desk shares information in real-time online and centrally manages "who," "when," and "how" responses were made. The notification feature among team members prevents missed responses and establishes an efficient support system for the entire team. *Specific features that alleviate the stress of management tasks are explained in detail in the materials.

  • Chatbots
  • Help Desk

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[Example] East Japan Telecom Co., Ltd.

AI Help Desk × Microsoft Teams! Instantly retrieve necessary information from a vast product manual.

In sales environments that handle a wide range of products, the challenge was that it was difficult to memorize the vast amount of manuals, leading to time-consuming information searches. By integrating Microsoft Teams with an AI help desk, we established an easily accessible inquiry window. AI provides immediate responses, while only a human team addresses complex questions, achieving a sales digital transformation that does not keep customers waiting. *Details of this successful case that enhanced productivity in the sales field are available in the materials.

  • Chatbots
  • Help Desk

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[Case Study] Hanwa Co., Ltd.

Support for the introduction of a new system at the AI help desk! Learning from 5,600 logs to effectively present FAQs to users.

We introduced AI to predict the large volume of inquiries during the implementation of the new system and to improve the complicated reception system. We trained the AI help desk using approximately 5,600 accumulated inquiry logs to create a system that presents highly accurate FAQs. We are continuously expanding the area of automation by utilizing analysis from generative AI. *The secrets to successfully leveraging data for large-scale implementation are detailed in the materials.

  • Chatbots
  • Help Desk

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Three Steps to Implement an AI Help Desk: Starting Knowledge Accumulation with Human Support

It's okay not to have a perfect FAQ. A positive feedback loop starting from dialogue data.

There is no need to aim for perfect automated responses from the initial implementation. We will start with human support first. The data accumulated from human support will be transformed into knowledge by AI (STEP 2), and using that knowledge, we will begin automated responses (STEP 3), creating a "virtuous cycle." This journey design allows us to expand the automation area without difficulty. *The complete details of the fail-safe implementation steps are explained in the final chapter of the document.

  • Chatbots
  • Help Desk

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