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

Last Updated： Aggregation Period:Apr 08, 2026～May 05, 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:Apr 08, 2026～May 05, 2026
This ranking is based on the number of page views on our site.

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

Last Updated： Aggregation Period:Apr 08, 2026～May 05, 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. Utilizing Knowledge in AI Help Desks Evolving with Generative AI × RAG PKSHA Technology
  3. Human support becomes knowledge! Automatic generation and suggestion of FAQs by AI help desk. PKSHA Technology
  4. What is the difference between Copilot, in-house developed RAG, and AI help desk? PKSHA Technology
  5. 4 PKSHA AI Help Desk PKSHA Technology

Help Desk Product List

31～40 item / All 40 items

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What is the difference from a typical chatbot? Reasons why an AI help desk can solve issues.

What is the difference from a typical chatbot? Reasons why an AI help desk can solve issues.

Don't end with 'I can't answer!' Design based on human collaboration and AI growth.

We will explain the decisive differences between typical bots that tend to be unused even after implementation and PKSHA's solution. Typical chatbots are abandoned if they cannot resolve issues on their own, but PKSHA ensures resolution through strong collaboration with human chat support. Additionally, there is no need for prior preparation of FAQs, as there is a mechanism to automatically generate knowledge from human support logs, allowing users to experience effectiveness from the very first day of implementation. The fact that tools are not scattered and that operations can be completed on Teams is also a crucial factor for continued use by employees. *We provide a detailed comparison of the criteria for choosing a chatbot that won't fail in our materials.

  • Chatbots
  • Help Desk

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Benefits of Introducing an AI Help Desk to Support the Busy Season in the Accounting Department

Benefits of Introducing an AI Help Desk to Support the Busy Season in the Accounting Department

Automate expense reimbursement inquiries during the fiscal closing period to streamline payment operations.

At the end and beginning of the month, as well as during the financial closing period, inquiries related to expense reimbursements and payments tend to concentrate in the accounting department, which can disrupt their primary tasks. With an AI help desk, common questions such as reimbursement rules can be answered automatically 24/7. This eliminates the overlap between inquiry responses and payment tasks, creating an environment where the accounting team can focus on their error-sensitive work. *If you are considering measures for handling inquiries during peak periods, please refer to the case studies in the provided materials.

  • Chatbots
  • Help Desk

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Reasons why the inquiry environment essential for business operations should be optimized with an AI help desk.

Reasons why the inquiry environment essential for business operations should be optimized with an AI help desk.

Delays in responses directly impact customers and the team negatively.

If the clarification of unclear points within the company does not go smoothly, it will affect not only that employee but also customers and the entire team. Implementing an AI help desk to optimize the environment is not just about efficiency; it is an investment to increase the speed of business execution. By bringing the waiting time for responses close to zero, it becomes possible to elevate the productivity of the entire organization. *Please refer to the materials for the deeper reasons why optimizing the inquiry environment is necessary now.

  • Chatbots
  • Help Desk

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Reduce enormous communication costs with an AI help desk.

Reduce enormous communication costs with an AI help desk.

Eliminate repeated answers to the same question and reduce knowledge re-examination to zero.

As the number of inquiries increases, both the time and psychological burden accumulate, leading to an increase in communication costs. The AI help desk learns from past interactions and documents, continuously providing automatic responses to similar questions. By eliminating the waste of "rechecking" that occurs when knowledge is not shared within the organization, it maximizes the use of the organization's insights. *The specific mechanisms for cost reduction are explained in the analytical data within the materials.

  • Chatbots
  • Help Desk

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

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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Utilizing Knowledge in AI Help Desks Evolving with Generative AI × RAG

Utilizing Knowledge in AI Help Desks Evolving with Generative AI × RAG

Combine internal documents with generative AI for accurate answers.

In recent years, the trend of generative AI has shifted from standalone use to the integration of internal documents. AI help desks utilizing RAG (Retrieval-Augmented Generation) technology serve as gateways to extract necessary information from vast knowledge data. By accumulating and managing the insights of internal experts, and allowing AI to leverage this information, advanced knowledge management is achieved. *Please check the materials for an advanced knowledge utilization experience using generative AI.*

  • Chatbots
  • Help Desk

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

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.

[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.

[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

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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