We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for Support Software.
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Support Software Product List and Ranking from 207 Manufacturers, Suppliers and Companies | IPROS GMS

Last Updated: Aggregation Period:Sep 09, 2026~Oct 06, 2026
This ranking is based on the number of page views on our site.

Support Software Manufacturer, Suppliers and Company Rankings

Last Updated: Aggregation Period:Sep 09, 2026~Oct 06, 2026
This ranking is based on the number of page views on our site.

  1. ウェーブフロント 本社 Kanagawa//software
  2. null/null
  3. 日本生工技研 Tokyo//software
  4. 4 タック株式会社(イビデングループ) 営業統括部 産業・公共営業グループ Gifu//IT/Telecommunications
  5. 5 LIGHTz つくば本社 Ibaraki//software

Support Software Product ranking

Last Updated: Aggregation Period:Sep 09, 2026~Oct 06, 2026
This ranking is based on the number of page views on our site.

  1. FMEA creation support software "AI-FMEA" ウェーブフロント 本社
  2. EYE TRACKING×KEISHOU AI SOLUTION
  3. 設備巡回点検の属人化を脱却!【AirSNAP】 タック株式会社(イビデングループ) 営業統括部 産業・公共営業グループ
  4. 4 [DX Promotion] Advanced Work Analysis and Improvement Tool 'Time Prism' 日本生工技研
  5. 5 Inspection AI "KENZ" システムインテグレータ

Support Software Product List

391~420 item / All 439 items

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Collaboration between Machine Translation and Trados - Yokogawa Electric Corporation

Significant reductions in delivery times, which were difficult with manual translation, are now possible! The pressure regarding deadlines has been greatly alleviated.

We would like to introduce a case study regarding the implementation of the Trados and Google Translate integration solution "MTrans for Trados" at Yokogawa Electric Corporation. The company creates and translates manuals related to control systems and faced the challenge of wanting to reduce the burden on in-house translators and improve operational efficiency. This system does not generate free translations or overly liberal translations, so there is no need to "interpret" the translated text. We have received feedback that it is easier to identify areas that require editing, even if the translation does not convey the intended meaning. [Case Overview] ■ Background - Aiming to reduce the burden on in-house translators and improve operational efficiency ■ Effects - Achieving deadlines that were difficult under the traditional translation process is now possible *For more details, please download the PDF or feel free to contact us.

  • Translation/Interpretation
  • Support Software

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Case Study of Orizuru 3D Implementation for Energy Equipment Maintenance

Utilizing 3D data to streamline maintenance operations for energy facilities.

In the energy industry, equipment maintenance is essential for stable operation, requiring rapid parts procurement and accurate information management. Particularly, procuring parts for aging equipment and identifying parts when drawings are not available pose challenges that consume significant time and costs. Orizuru 3D addresses these issues by quickly obtaining necessary information from 3D data and streamlining the parts procurement process. 【Use Cases】 - Parts procurement for aging equipment - Parts identification when drawings are unavailable - Parts arrangement from 3D data 【Benefits of Implementation】 - Elimination of the need for 2D drawing creation, leading to more efficient procurement operations - Reduction in parts procurement time - Contribution to stable operation of equipment

  • 3D CAD
  • Process Control System
  • Cost Management System
  • Support Software

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[For Semiconductors] Orizuru 3D Case Study

Utilizing 3D data to expedite information understanding and maintenance response for semiconductor equipment.

In the semiconductor industry, accurate understanding of equipment information and prompt maintenance response are crucial for the stable operation of specialized equipment in clean rooms. Particularly for equipment without existing drawings, confirming the structure and identifying necessary parts can be time-consuming, increasing the burden of maintenance tasks. Orizuru 3D provides an environment where equipment information can be intuitively grasped from 3D data, supporting the acceleration of maintenance responses and parts verification. 【Usage Scenarios】 - Procurement of parts for aging equipment in clean rooms - Identification of parts when drawings are not available - Arrangement of parts from 3D data 【Benefits of Implementation】 - Elimination of the need for 2D drawing creation, leading to more efficient procurement operations - Reduction in parts procurement time - Contribution to the stable operation of equipment

  • 3D CAD
  • Process Control System
  • Cost Management System
  • Support Software

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Strengthening the maintenance of machinery and equipment as an afterthought | Orizuru MES

Enhance maintenance and visualization of machinery equipment with retrofitting!

In the machinery industry, it is important to suppress equipment downtime and maintain stable operations. It is required to minimize equipment downtime and maximize production efficiency. By early detection of equipment anomalies and conducting planned maintenance, it contributes to improving productivity and reducing costs. Orizuru MES supports the gradual transformation into a smart factory while leveraging existing equipment and systems, and enhances equipment maintenance. 【Usage Scenarios】 - Monitoring equipment operating status - Early response through anomaly detection - Optimization of maintenance planning 【Effects of Implementation】 - Reduction of equipment downtime - Reduction of maintenance costs - Improvement of productivity

  • Process Control System
  • Support Software

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How to Utilize 3D Data for Estimation | Orizuru 3D

A way of connecting 3D data, which tends to stagnate in the design phase, to estimates and subsequent processes.

By expanding the use of 3D data not only for design but also for estimation, procurement, and manufacturing, overall business efficiency is expected to improve. On the other hand, in the field, there are still operations that revert to 2D drawings and individual confirmations, leading to reliance on experienced personnel for estimation decisions and difficulties in making decisions across departments while looking at the same shapes, often resulting in time-consuming adjustments. Even if 3D modeling progresses in design, the persistence of traditional methods in later processes can prevent the effective utilization of valuable data. "Orizuru 3D" is a product that addresses these challenges by realizing automated estimation/procurement digital transformation (DX). It supports the efficiency of estimation tasks and reduction of dependency on individuals through rule-based cost estimation and price prediction using machine learning, targeting estimation, design, procurement, and manufacturing process design. With lightweight 3D visualization, it becomes easier for related departments to confirm shapes, making it effective in practical applications. 【Features】 ■ Automated estimation ■ Lightweight 3D rendering in a web browser * For more details, please download and view the PDF. Reference Article What is 3DA (3D Annotation)? A Complete Guide from Creation Methods to CAD Selection https://www.cct-inc.co.jp/koto-online/archives/29

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Reduce rework with 3D sharing 【Orizuru 3D】

A concept for sharing 3D models among stakeholders to reduce discrepancies in understanding and the back-and-forth of confirmations.

Utilizing 3D data to streamline verification and simulation during the design phase leads to preventing rework and facilitating consensus. However, in practice, the environment where stakeholders can work with the same model is often not established, necessitating alignment of understanding with each verification, which can lead to delays in decision-making. If this situation persists, the back-and-forth of verification tasks increases, resulting in a slowdown of overall business speed and the occurrence of rework. "Orizuru 3D" is a product that supports estimation, design, and procurement operations using 3D data to address these challenges. By facilitating sharing and verification among stakeholders through lightweight 3D visualization, and by combining it with automated estimation, it helps to mitigate delays in decision-making and the tendency for operations to become reliant on specific individuals. 【Features】 ■ Automated estimation ■ Lightweight 3D rendering in a web browser *For more details, please download the PDF. 【Reference Article】 What should BIM/CIM tools utilizing 3D models look like? https://www.cct-inc.co.jp/koto-online/archives/307

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"Orizuru 3D" that doesn't stop the data halfway.

From design to the site. Information becomes powerful only when it is connected.

In product development, the uninterrupted flow of information across design, manufacturing, and maintenance directly correlates with the speed of decision-making and the reduction of rework. It is essential to create a state where the same data can be connected and used, rather than having separate information for each department. However, on-site, information from the design phase is often not adequately passed on to subsequent processes, leading to situations where documents must be searched for again or previous processes revisited for confirmation. Continued fragmentation like this can result in variability in decision-making and delays in response. The solution to this information disconnect is 'Orizuru 3D'. Through shape recognition, similarity search, automatic estimation, and lightweight 3D visualization, it expands design data into estimation, procurement, and manufacturing process design, making it easier to facilitate cross-departmental confirmation and decision-making. 【Features】 ■ Automatic estimation ■ Lightweight 3D rendering in a web browser *For more details, please download the PDF. ■ Reference Article What is a digital thread in manufacturing? A detailed explanation of its differences from digital twins and use cases. https://www.cct-inc.co.jp/koto-online/archives/379

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【店番長導入事例】株式会社ジュンテンドー

店番長がもたらした情報革命 ~ 広域エリアの店舗巡回に匹敵する大きな存在

株式会社ジュンテンドーは、主に地方都市や中間山地、離島にチェーン展開 をするホームセンターです。 紙ベース、ファックスやメール、電話などさまざまなルートを使って、 エリアマネージャーや17の部門の各バイヤーから、店舗へ指示を行っていました。 他社のサービスも検討しましたが、大掛かりな設備やシステムの変更が 必要なものもあります。その点、『店番長』はネット環境さえあれば スタートできる点が魅力でした。 【事例】 ■導入先:株式会社ジュンテンドー ■店舗数:126店舗(2019年12月現在) ※詳しくはPDF資料をご覧いただくか、お気軽にお問い合わせ下さい。

  • Integrated operation management
  • Corporate information portal/groupware
  • Other information systems
  • Support Software

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[Case Study of Store Manager Introduction] Heiwado Co., Ltd.

Achieved 90% execution power immediately after implementation, and 100% is also within reach! This led to the elimination of oversight.

Heiwado is a GMS chain that operates large general supermarkets and small supermarkets primarily in Shiga Prefecture, as well as in the Kinki, Hokuriku, and Tokai regions. Until now, the company has used dedicated groupware to share business instructions with stores. Each store has over 50 sales areas, and the headquarters sends out as many as 350 pieces of information per store each week. When instructions become concentrated, it is easy for stores to miss confirmations, making reminders via phone or email from headquarters a necessity. Immediately after implementing "Tenbancho," the execution rate reached 90%. Stores were able to reliably confirm outstanding instructions, leading to the eradication of missed responses. [Case Study] ■ Implementation: Heiwado Co., Ltd. ■ Number of Stores - Heiwado: 156 stores, Group Companies: 4 stores *For more details, please refer to the PDF document or feel free to contact us.

  • Integrated operation management
  • Corporate information portal/groupware
  • Other information systems
  • Support Software

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WIZIoT (WizIoT) - Equipment Inspection DX Service for the Manufacturing Industry

Automatically read meter values with AI to streamline equipment inspections for predictive maintenance.

In the manufacturing industry, the stable operation of equipment and the realization of predictive maintenance are directly linked to increased productivity and cost reduction. In particular, the recording of meter values and the confirmation of abnormalities during daily equipment inspections are prone to oversight and recording errors, which burden maintenance operations. To solve these challenges and achieve more accurate predictive maintenance, the digitization and efficiency of inspection tasks are required. WIZIoT addresses these issues through AI-based automatic meter reading and cloud management, supporting the smart transformation of equipment inspection operations. 【Usage Scenarios】 - Inspection of various equipment meters within the factory - Recording of abnormal locations such as unusual noises, odors, and liquid leaks - Acceleration of inspection record reporting on-site - Efficiency improvement in management operations through paperless processes 【Benefits of Implementation】 - Up to 80% reduction in inspection and recording time - Approximately 47% reduction in inspection management tasks - Improved accuracy of inspection records and prevention of errors - Smoother information sharing through centralized management in the cloud

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  • WIZIoT 画像?.jpg
  • WIZIoT 画像?.jpg
  • WIZIoT 画像?.jpg
  • WIZIoT 画像?.jpg
  • Other information systems
  • Support Software

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[HR Evaluation DX] Interview Record and Assessment Sheet Creation Support AI

Why not stop taking notes during the meeting and talk while looking your subordinate in the eye?

【Product Overview】 This product addresses the concern of "having a vague memory of the interview and lacking confidence in evaluations." It is an AI tool for HR that automatically records the content of evaluation interviews and 1-on-1 meetings in a secure environment. With speaker separation functionality, it clarifies "who said what" and summarizes the content according to the specified evaluation sheet. It enables objective and fair evaluation records that do not rely on the subjectivity or memory of the interviewers. 【Three Transformations from Implementation】 1. Creating a "listening environment" that allows for focused dialogue... Since there is no need to frantically take notes, interviewers can concentrate on the expressions and nuances of their subordinates' words, improving the quality of the interviews. 2. "Significantly reducing" the time to create evaluation sheets... The AI organizes the content of a one-hour interview and automatically formats it into the company's standard template. This reduces the administrative burden on evaluators and allows them to spend more time considering feedback. 3. "Ironclad protection" for sensitive information... Strict access rights management through workspace functionality completely isolates HR information and evaluation content from unauthorized individuals.

  • Voice Recognition Software
  • Support Software

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Collaboration of Automotive PLM and Utilization of 3D CAD Data

Integrate automotive PLM and 3D CAD data to eliminate the fragmentation of design information.

For the automotive sector: We will address the challenge of disconnected information between core systems like PLM and 3D CAD data by utilizing the 3D CAD data application features of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing users to quickly find the necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse verification tasks that were previously reliant on the experience of skilled professionals. 【Usage Scenarios】 ■ Fast search for past similar design cases ■ Automatic checking of requirements in accordance with design standards ■ Differential checks during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Passing on design know-how to new personnel 【Implementation Effects】 ■ Reduction of variability in design quality and promotion of standardization ■ Shortening of development time through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled professionals' know-how

  • others
  • Support Software

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Collaboration with automotive suppliers and utilization of 3D CAD data

Facilitating the collaboration of design data with automotive suppliers through the use of 3D CAD data.

For the automotive sector: We will solve the issue of inefficient exchange of design data with suppliers and the resulting rework due to misunderstandings through the 3D CAD data utilization feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing users to quickly find the necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse verification tasks that were previously reliant on the experience of skilled professionals. [Utilization Scenarios] ■ Fast search for past similar design cases ■ Automatic checking of requirements in accordance with design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel [Implementation Effects] ■ Reduction of variability in design quality and promotion of standardization ■ Shortening of development periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled professionals' know-how

  • others
  • Support Software

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Improving quality through automated requirement checks in automotive parts design.

Automate the checking of automotive parts design requirements to be faster and more reliable.

For automotive parts: We will solve the issue of design requirement check omissions being discovered in later processes or after mass production, which incurs correction costs, with the automatic requirement check feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past cases to 3D CAD data, allowing for quick searches of necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse the verification tasks that relied on the experience of skilled workers. [Usage Scenarios] ■ Fast search for past similar design cases ■ Automatic checks of requirements in accordance with design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel [Implementation Effects] ■ Reduction of design quality variability and promotion of standardization ■ Shortening of development periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

  • others
  • Support Software

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Development of young automotive parts designers and utilization of knowledge.

Accelerating the development of young automotive parts designers by leveraging knowledge from 3D CAD data.

For automotive parts: We will address the challenge of young designers' training relying on on-the-job training (OJT) at the workplace, which slows down the training speed, through the young talent development and design knowledge utilization features of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past cases to 3D CAD data, allowing users to quickly find the necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse verification tasks that were previously dependent on the experience of skilled workers. 【Usage Scenarios】 ■ Fast search for past similar design cases ■ Automatic checking of requirements in accordance with design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel 【Implementation Effects】 ■ Reduction of design quality variability and promotion of standardization ■ Shortening of development time through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

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Modularization of automotive parts and reuse of design data.

Streamlining the development of derivative models of automotive parts through modularization and reuse of design data.

For automotive parts: We address the challenge of not advancing the modularization of parts and mechanisms, leading to redesign for each derived model, with the design data reuse feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing users to quickly find the necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse the verification tasks that relied on the experience of seasoned professionals. 【Usage Scenarios】 ■ Fast search for past similar design cases ■ Automatic checking of requirements in accordance with design standards ■ Confirmation of differences during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel 【Implementation Effects】 ■ Reduction of variability in design quality and promotion of standardization ■ Shortening of development periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of seasoned professionals' know-how

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  • Support Software

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Collaboration with automotive parts suppliers and utilization of 3D CAD data.

Facilitating the collaboration of design data with automotive parts suppliers through the use of 3D CAD data.

For automotive parts: We address the issue of inefficient design data exchange with suppliers and rework caused by misunderstandings through the utilization features of blooplinter's 3D CAD data. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing users to quickly find the necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse verification tasks that were previously reliant on the experience of skilled workers. 【Usage Scenarios】 ■ Fast search for past similar design cases ■ Automatic checks of requirements in accordance with design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel 【Implementation Effects】 ■ Reduction of variation in design quality and promotion of standardization ■ Shortening of development periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

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  • Support Software

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Reducing Rework in Shipbuilding Design: Utilizing 3D CAD Techniques

Preventing shipbuilding design revisions in advance by utilizing 3D CAD data.

For shipbuilding: We will solve the issue of frequent rework and reconsideration due to the discovery of defects in the post-design process with the design rework reduction feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past cases to 3D CAD data, allowing users to quickly find the necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse the verification tasks that relied on the experience of skilled workers. [Usage Scenarios] ■ Fast search for past similar design cases ■ Automatic checks of requirements in accordance with design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel [Implementation Effects] ■ Reduction of variability in design quality and promotion of standardization ■ Shortening of development time through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

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Utilization of Similar Shape Search for Shipbuilding Production Technology Department

Utilizing past assets through similar shape search for shipbuilding jigs and equipment design.

For shipbuilding: The production technology department faces the challenge of not being able to find past designs of similar jigs and equipment, leading to new considerations each time. This issue is resolved with the similar shape search function of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing for quick access to necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse verification tasks that previously relied on the experience of skilled workers. [Usage Scenarios] ■ Fast search for past similar design cases ■ Automatic checks of requirements in accordance with design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel [Implementation Effects] ■ Reduction of variability in design quality and promotion of standardization ■ Shortening of development periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

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Modularization of shipbuilding and reuse of design data

Streamlining the development of derivative shipbuilding models through modularization and the reuse of design data.

For shipbuilding: We address the challenge of not progressing in the modularization of parts and mechanisms, leading to redesigning for each derived model, through the design data reuse feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past cases to 3D CAD data, allowing for quick searches of necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse verification tasks that previously relied on the experience of skilled workers. [Utilization Scenarios] ■ Fast search for past similar design cases ■ Automatic checks of requirements in accordance with design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Passing on design know-how to new personnel [Implementation Effects] ■ Reduction of variation in design quality and promotion of standardization ■ Shortening of development time through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

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Collaboration of PLM for aircraft parts and utilization of 3D CAD data

Integrating PLM of aircraft components with 3D CAD data to eliminate the fragmentation of design information.

For aircraft parts: We will solve the issue of disconnected information between core systems such as PLM and 3D CAD data with the 3D CAD data utilization feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing users to quickly find the necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse verification tasks that relied on the experience of skilled professionals. 【Usage Scenarios】 ■ Fast search for past similar design cases ■ Automatic checks of requirements in accordance with design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel 【Implementation Effects】 ■ Reduction of variation in design quality and promotion of standardization ■ Shortening of development periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled professionals' know-how

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Reducing Rework in Railway Vehicle Parts Design: Techniques for Utilizing 3D CAD

Preventing design rework of railway vehicle parts by utilizing 3D CAD data.

For railway vehicle parts: To address the issue of frequent rework and reconsideration due to the discovery of defects in the design post-process, we will solve this with blooplinter's design rework reduction feature. 'blooplinter' is a knowledge utilization tool that links design know-how and past cases to 3D CAD data, allowing you to quickly find the necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse the verification tasks that relied on the experience of skilled workers. [Usage Scenarios] ■ Fast search for past similar design cases ■ Automatic checks of requirements in accordance with design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel [Implementation Effects] ■ Reduction of variation in design quality and promotion of standardization ■ Shortening of development time through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

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PLM integration of railway vehicle parts and utilization of 3D CAD data.

Integrate PLM and 3D CAD data for railway vehicle parts to eliminate the fragmentation of design information.

For railway vehicle parts: We will address the issue of disconnected information due to the lack of integration between core systems like PLM and 3D CAD data by utilizing the 3D CAD data capabilities of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing users to quickly find the necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse verification tasks that were previously reliant on the experience of skilled workers. 【Usage Scenarios】 ■ Fast search for past similar design cases ■ Automatic checks of requirements in accordance with design standards ■ Confirmation of differences during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transfer of design know-how to new personnel 【Implementation Effects】 ■ Reduction of variability in design quality and promotion of standardization ■ Shortening of development periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

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Improving quality through automatic requirement checks in construction machinery parts design.

Automate the design requirement checks for construction machinery parts to be faster and more reliable.

For construction machinery parts: We will solve the issue of design requirement check omissions being discovered in later processes or after mass production, leading to correction costs, with the automatic requirement check function of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past cases to 3D CAD data, allowing for quick searches of necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse the verification tasks that relied on the experience of skilled workers. [Usage Scenarios] ■ Fast search for past similar design cases ■ Automatic checks of requirements in accordance with design standards ■ Confirmation of differences during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel [Implementation Effects] ■ Reduction of variation in design quality and promotion of standardization ■ Shortening of development periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

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PLM integration of construction machinery parts and utilization of 3D CAD data.

Integrate PLM of construction machinery parts with 3D CAD data to eliminate fragmentation of design information.

For construction machinery parts: We will solve the issue of disconnected information between core systems like PLM and 3D CAD data with the 3D CAD data utilization feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing users to quickly find the necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse verification tasks that were previously reliant on the experience of skilled workers. 【Usage Scenarios】 ■ Fast search for past similar design cases ■ Automatic checks of requirements in accordance with design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel 【Implementation Effects】 ■ Reduction of variability in design quality and promotion of standardization ■ Shortening of development periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

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Accumulating veteran tacit knowledge as organizational knowledge for forging.

It is a general-purpose AI that naturally accumulates the experience and judgment criteria of veterans in the forging industry and transforms them into organizational knowledge that can be referenced at any time.

For forging: The general knowledge AI for manufacturing is a specialized organizational knowledge AI platform that naturally accumulates the tacit knowledge of experts from daily operations and conversations, enabling it to be utilized as the company's "knowledge infrastructure." It structures and accumulates the experience and judgment criteria of veterans from internal documents and conversation records, allowing users to search and reference not only "what was judged" but also "why it was judged that way." It features AI agent functions tailored to various aspects of operations, such as risk detection in project documents, linked searches between 3D drawings and knowledge, and presenting similar cases during trouble response. [Usage Scenarios] - Preserving judgment criteria and experiential knowledge as knowledge before veterans retire or transfer. - Allowing younger or other department members to independently search and reference past judgment bases. - Early identification of risks from project documents during the design and production preparation stages. - Rapid response to troubles based on similar cases and countermeasures. [Implementation Effects] - Visualization and inheritance of judgment criteria that were previously personalized. - Utilization of knowledge that not only allows for searches but also explains "why." - Reduction of rework through early detection of risks. - Shortening of lead times in trouble response.

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AI × Search "amie"

Easy searches via chat! Introducing a new form enhanced by AI.

AI×Search "amie" solves various challenges in search and achieves operational efficiency. Anyone can find what they want. With thumbnail display, information can be intuitively obtained, and it is possible to organize information by consolidating sources into one. Additionally, AI generates answers and captures necessary information instantly. It can assist in the way questions are asked during searches. 【Features】 ■ Adopts a chat UI, making it easy for anyone to use ■ Intuitive information retrieval with thumbnail display ■ AI generates answers and captures necessary information instantly ■ Information can be organized by consolidating sources into one ■ Assists in the way questions are asked during AI searches *For more details, please download the PDF or feel free to contact us.

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AI × Search "amie" <Appropriate Use of AI>

Eliminate the gap between people who are good at searching and those who are not, creating an environment where everyone can smoothly access information!

We would like to introduce the strengths of AI×Search "amie" regarding the "Appropriate Use of AI." AI serves as a tool to assist people by generating questions for searches and addressing variations in language, providing appropriate answers. This eliminates the gap between those who are skilled at searching and those who are not, creating an environment where everyone can smoothly access information. 【Features of amie】 ■ Adopts a chat UI, making it easy for anyone to use ■ Intuitive information retrieval through thumbnail displays ■ AI generates answers and quickly captures necessary information ■ Allows for the organization of information by consolidating sources into one ■ Assists in the questioning methods used during searches *For more details, please download the PDF or feel free to contact us.

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[MojiTori] Managing employee step counts by transcribing from individual smartphones [Internal Case Study]

Automatically read step counts from images and reduce transcription work.

♦Background Our company has implemented a program that allows employees to earn rewards based on their average steps per month to promote health. Each month, participants in the program copy the step count screen from their personal healthcare apps, convert it into an image, and register it as evidence in the kintone app. However, since the person in charge visually assesses the results from images of step count screens that differ in format across various apps, it has required about four hours of labor each month. ♦Challenges - The step count screens that serve as evidence vary by individual. - There is a risk of oversight in verification since the person in charge checks visually. - The monthly burden on the person in charge is significant. ♦Solution - Introduced Mojitori. - Reviewed the app's structure to make it easier to apply. ♦Effects of Implementation - Since it can read different screens, we were able to improve operations without significantly changing the current process. - Automatic input has helped prevent human errors. - Reduced labor by 50 hours annually.

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[How to Use YouSona] Credit and Business Partner Check Edition

Credit, anti-social forces, and compliance checks can be executed immediately by all employees at any time.

How to Utilize the Customer Data Integration Solution "YouSona": Introduction to the "Credit and Business Partner Check Edition" Identifying target companies without confusing them with the many companies that share the same name can be cumbersome. This addresses the challenge of "uncertainty about whether the acquired information and the target company are the same." With the implementation of this system, you can accurately identify and check the target company without being misled by the many companies with the same name. 【Features】 ■ Accurately identify and check the target company without being misled by the many companies with the same name. ■ In addition to general checking methods, track past reports, individuals, locations, and related companies. ■ Obtain information from sales talk topics to credit information all in one app. *For more details, please download the PDF or feel free to contact us.

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