Three Examples of Utilizing Mojitori! Announcement of a Seminar on Improving the Workplace to Reduce Input Errors, Reporting Omissions, and Personalization.

The introduction of Mojitori significantly reduces the workload and errors associated with the registration of large amounts of information.

◆Background In our company's Information Systems Department, we register serial numbers and MAC addresses in the device management table when procuring new PCs. However, due to the significant impact of input errors, careful handling has been required. Until now, we managed this with manual input for around 20 devices at most, but with a simultaneous replacement project for approximately 300 PCs, it became clear that the workload and risk of human error with the traditional method had reached an impractical level. Therefore, we decided to implement Mojitori to improve the situation. ◆Challenges - The risk of human error is high due to manual input, and the labor involved in careful entry is significant. - A sudden increase in workload necessitated a review of work efficiency. ◆Solution - By introducing Mojitori, we established a system that allows for the registration of device information through photo capture and automatic input. ◆Effects of Implementation - Automatic input reduced the chances of misreading and input errors. - Simply photographing the labels attached to the boxes reduced both the workload and psychological burden. - A team of five completed the registration of PC information for 300 units in about 1.5 to 2 hours. *For more details, please download the materials from the URL and contact us.*

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The introduction of Mojitori enables accurate aircraft management to be depersonalized.

♦Background At Daiohs Shikoku Co., Ltd., field personnel reported serial numbers and installation information attached to the equipment via chat and later transcribed this information into an Excel ledger after returning to the office. However, frequent errors due to manual input and missed reports were common. This led to difficulties for the management department in retrieving information later, as well as challenges in accurately grasping the number and types of installations. In light of this background, they were considering an operation to photograph serial numbers and automatically input them into kintone to improve operational efficiency and ensure accurate information management. ♦Challenges - There were occurrences of missed reports and input errors regarding serial numbers and installation information, resulting in inadequate equipment management. - The work was overly reliant on specific individuals and lacked standardization. ♦Solution - By introducing Mojitori, a system was established that allows for equipment management reporting through photo capture and automatic input. ♦Effects of Implementation - Input errors were reduced, achieving accurate equipment management. - A unified operational system was established across the company, reducing reliance on specific individuals. - The overall work time for the company was reduced by 160 hours per month. - The workload of receiving and disposal reporting, which had been concentrated in the management department, was distributed to the field, alleviating the burden on the management department. *For more details, please download the materials from the URL and contact us.*

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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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The digitization of business card information has shifted from personal management to departmental management, resulting in an 80% reduction in operational costs.

♦Background At IP Power Systems Co., Ltd., employees and executives were individually managing paper business cards, leading to time-consuming searches for cards and potential information leakage risks due to loss. There were also concerns about insufficient sharing of customer information during handovers. They tried other business card management services, but found them to be multifunctional and not suitable for their operations, so they were looking for a way to share business card information within their existing kintone environment. ♦Challenges - Business cards were managed individually, so information was not shared. - There was a risk of potential information leakage due to loss in business card management. ♦Solution - By implementing Mojitori, the digitization of business card information and the efficiency of management were achieved. ♦Effects of Implementation - Business card information is now centrally managed by department, allowing for smoother handovers and information sharing. - Business card information can now be accessed from outside locations. - Additionally, operational costs were reduced by 80%. *For more details, please download the materials from the URL and contact us.*

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Achieving reduced human error risk and improved traceability through digitization from paper-based management.

♦Background At ISS Yamazaki Machinery, we are engaged in the task of cutting rod-shaped steel materials to lengths suitable for forging in our factory. In the process of cutting steel materials, we used to manually check information such as material type, diameter, and charge number (manufacturing number) visually, and manage it on paper cutting instruction sheets. Following incidents of non-conformance due to misidentification of steel material information on-site, we have been advancing business reforms aimed at supplementing visual checks and improving traceability. ♦Challenges - Misconceptions and misidentifications due to visual checks - Difficulty in investigating causes when foreign materials are mixed or non-conformances occur ♦Solution - Implemented a non-visual check function using kintone × Mojitori ♦Effects of Implementation - Supplemented visual check omissions through photo capture and automatic input - Strengthened evidence through photographic records and improved traceability - Expanded to other departments and factories, currently utilized in various operations

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Easily manage inventory and equipment inspections with AI-OCR! Read text from images and PDFs and save it directly to kintone.

☆New☆ Update Information 2024.12 Support for reading multiple lines has been added. 2024.10 [Major Update] PDF reading capability has been added. 2024.8 Search character specification is now possible with adjacent reading and bottom reading. 2024.6 Added "Bottom Reading" function that can read below specified characters. 2024.4 Mojitori can now be used without a camera. "Mojitori" is a kintone plugin that can extract characters arranged in a specific format from photos and PDFs. It improves work efficiency by reducing transcription tasks and preventing input errors. 【It shines in these situations!】 ■ Equipment management: Alignment with management numbers ■ Inventory management: Item input for stocktaking ■ Checking of product labels ■ Input of values during inspections ■ Business card information registration ■ Identity document registration For more details, please download the catalog below and contact us.

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We would like to express our congratulations on the continued prosperity of your esteemed company. Our company will be exhibiting at the following trade show, where we will be showcasing a number of products, including our new product, the Packaging Container Air Leak Test (Pin Hole Inspection) Device | MSQ-2003 series. We sincerely apologize for the inconvenience during your busy schedule, but we would like to cordially invite you to attend this event. 【 Trade Show Name 】 【 Dates 】 【 Venue/Booth Number 】

Yazaki Energy System will be exhibiting at the "14th Agricultural WEEK (commonly known as J-AGRI)" held at Makuhari Messe. In response to challenges surrounding agriculture, such as record heat and soaring energy prices, our company proposes an agricultural system that utilizes surplus solar heat and waste heat from factories during the summer to support stable cultivation throughout the year, from winter heating to summer cooling. ■ Exhibition Details (Booth Number: 25-47) <Closed-type Agricultural House> Results from the second season and initiatives for the third season <Localized Cooling in Solar-Powered Agricultural Houses> Mechanism of substrate cooling, comparison of energy consumption with spatial cooling, growth conditions this summer <Cooling and Heating with Solar Heat> Examples of crown heating and house cooling, utilization of surplus heat in summer <Cooling of Crops and Workers with Well Water> Exhibition of a prototype well water cooler and proposals for the use of cooling jackets When you visit, please be sure to stop by our booth.

We would like to inform you about the autumn and winter internship opportunities for the 2028 graduates. 1. Open Company Dates: October 23, 2026 (Friday), November 11, 2026 (Wednesday), December 10, 2026 (Thursday), January 21, 2027 (Thursday) Time: 13:30 - 15:30 Location: Online (Microsoft Teams) 2. 1-Day Job Experience Dates: November 17, 2026 (Tuesday), December 16, 2026 (Wednesday) January 15, 2027 (Friday), January 27, 2027 (Wednesday), February 4, 2027 (Thursday), February 10, 2027 (Wednesday), February 18, 2027 (Thursday) Time: 10:00 - 17:30 (tentative) Location: Takaya Corporation Headquarters (661-1 Ibara-cho, Ibara City, Okayama Prefecture)

Notice of participation in the "FOOD Expo 2026." 【Date and Time】 　November 11 (Wednesday) - 13 (Friday), 2026 　Opening hours: 10:00 AM - 5:00 PM 【Venue】 　Tokyo Big Sight 　East Hall 2, Booth Number B-36 【Exhibits】 　Cardboard insulated boxes 　Craft cooler cubes 　Vacuum insulated panel 　Pallet cubes

[Lecture Topics] 1. Co-creation Strategy to Deliver AI to the Field - Business Development and Joint Ventures in the Era of Generative AI and Physical AI Mr. Haruto Suzuki, Industrial and Regional Research Department, Development Bank of Japan 1. The Mechanism of Generative AI and Its Current Utilization by Companies 2. Expansion of the Generative AI Market and AI Infrastructure 3. Transition from Generative AI to Physical AI 4. Bottlenecks in Social Implementation and Solutions through Joint Ventures 5. Formation of an Implementation Ecosystem through Policy and Finance 6. Q&A / Business Card Exchange 2. Needs, Development Trends, Future Possibilities, and Challenges of Physical AI Mr. Kazushi Asama, Senior Researcher, Next-Generation Robot Research Organization, Waseda University / Emeritus Professor, University of Tokyo 1. What Physical AI Means 2. Needs for Physical AI and the Technological Trends of Generative AI Behind It 3. Development Trends of Physical AI 4. Future Possibilities and Challenges of Physical AI 5. Q&A / Business Card Exchange