Three Examples of Utilizing Mojitori! Announcement of Archived Distribution for the On-Site Improvement Seminar 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 unrealistic 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 input work is significant. - Sudden large volumes of work have arisen, prompting a review of work efficiency. ◆Solution - By implementing Mojitori, we established a system that allows for device information registration through photo capture and automatic input. ◆Effects of Implementation - Automatic input has reduced misreading and input errors. - Simply photographing the labels attached to the boxes has 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.*

• Inventory Management System

The introduction of Mojitori enables accurate aircraft management without reliance on individuals.

♦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 mistakes due to manual input and omissions in reporting occurred. This led to difficulties for the management department in retrieving information later and accurately grasping the number of installations and types of equipment. In light of this background, they were considering an operation to photograph the serial numbers and automatically input them into kintone to improve operational efficiency and ensure accurate information management. ♦Challenges - Omissions in reporting and input errors for serial numbers and installation information resulted 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 company-wide, reducing reliance on specific individuals. - The company as a whole reduced work hours by 160 hours per month. - The burden of receiving and disposal reporting tasks, which had been concentrated in the management department, was distributed to the field, alleviating the load on the management department. *For more details, please download the materials from the URL and contact us.*

• Document Management System

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 privately used 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 differ from person to person. - There is a risk of oversight due to the person in charge checking visually. - The monthly burden on the person in charge is significant. ♦Solution - Introduced Mojitori. - Reviewed the app's structure and made 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.

• Document Management System

The introduction of Mojitori enables the digitization of business card information and improves management efficiency.

♦Background At IP Power Systems Co., Ltd., employees and executives were individually managing paper business cards, which led 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 companies' business card management services but found them multifunctional and unsuitable for their operations, so they were looking for a way to share business card information within their existing kintone environment. ♦Challenges - Business cards were individually managed, so information was not shared. - There was a potential risk of information leakage due to loss in business card management. ♦Solution - By introducing Mojitori, business card information was digitized and management was streamlined. ♦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 the office. - Additionally, operational costs were reduced by 80%. *For more details, please download the materials from the URL and contact us.*

• Document Management System

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

♦Background At ISS Yamazaki Machinery, we perform the task of cutting rod-shaped steel materials to lengths suitable for forging in our factory. In the process of cutting steel materials, we manually checked information such as material type, diameter, and charge number (manufacturing number) visually, and managed it on paper cutting instruction sheets. Following incidents of nonconformities due to misreading of steel material information on-site, we have been promoting business reforms aimed at supplementing visual checks and improving traceability. ♦Challenges - Misconceptions and misreads due to visual checks - Difficulty in investigating causes when foreign materials are mixed or nonconformities occur ♦Solution - Achieved a check function that does not rely on visual checks 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

• Document Management System

Easily manage inventory and equipment inspections with AI-OCR! You can digitize text captured with your smartphone 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 side reading and bottom reading. 2024.6 Added "bottom reading" function that can read below specified characters. 2024.4 Mojitori is now available without a camera. "Mojitori" is a kintone plugin that can extract characters arranged in a specific format from photos. It improves work efficiency by reducing transcription work and preventing input errors. 【It shines in the following situations!】 ■ Equipment management: Alignment with management numbers ■ Inventory management: Item input for stocktaking ■ Checking of product labels ■ Numeric input during inspections ■ Business card information registration ■ Identity document registration For more details, please download the catalog below and contact us.

• Inventory Management System

From measurement devices to point cloud processing and analysis software, the latest solutions come together! We propose numerous cutting-edge technologies and products that solve on-site challenges in a one-stop manner. It's not just about seeing; it's about experiencing, consulting, and bringing it back to the field. At the venue, we will showcase the latest measurement devices and solutions, including 3D laser scanners, handheld 3D scanners, LiDAR drones, and 3DGS (Gaussian Splatting). Additionally, we will unveil surprise new products!!

We will be exhibiting at the "Green Cross Exhibition 2026 - Fair for Creating Safety for Workers." At the exhibition venue, we will have a hands-on corner for the "FF Mirror," which can be simply attached to walls to prevent collisions and address near-miss incidents. We would be grateful if you could visit the venue and share your opinions and requests with us. Thank you very much. Date: September 16 (Wednesday) to 18 (Friday). Please check the exhibition website for the different opening hours each day. Venue: Sapporo City Sports Exchange Facility Tsudoumu (Booth Number D-34) *Pre-registration is required for entry. You can register here → https://0246d18c.v3.expot-ft.net/applicants/o-add Exhibition site here → https://gce.sup-sol.net/

Although quality data and process data are accumulated, there are challenges such as "missing signs of abnormalities" and "being unable to identify the cause when problems occur." In the seminar, we will cover practical methods for quality management and cause analysis, introducing a data-driven approach to problem-solving. We will explain analytical approaches that can be utilized in manufacturing sites, from quality monitoring to cause exploration when problems arise, including demonstrations. 【Target Audience】 Quality management personnel in manufacturing Production technology and process improvement personnel Those who want to utilize process data and quality data Those who feel challenges in cause analysis when problems occur 【Overview】 1) Taking Quality Management to the Next Step - Utilizing JMP Beyond Control Charts Using quality management tasks as a theme, we will cover the flow from control charts and process capability analysis using JMP to cause exploration, as well as methods for sharing analysis results. 2) Data-Driven Cause Analysis and Quality Improvement An analytical approach to efficiently narrow down the causes of problems using process data and quality data. ▼ Details & Registration https://www.jmp.com/ja/events/seminars/discovery-seminar-series/2026/10-30

As the labor shortage becomes more serious, what kind of business design is necessary to consistently maintain cleaning quality in commercial facilities? In this webinar, we will introduce the use of cleaning robots for operational efficiency, the division of roles with staff, and case studies from both domestic and international implementations. Additionally, we will explain the features of the KLEENBOT C30/C40, the selection of models, and the process from demonstration to implementation.

We will be exhibiting at the "Crisis Management Industry Exhibition 2026" held at the South Exhibition Hall of Tokyo Big Sight. ■ Booth Number: 4F-07 ■ Booth Number: 4H-07 【Main Exhibited Products】 ▼ Portable "Long Duration Generator" 【JPG Series】 ▼ Continuously Selected "Vehicle-mounted Generator" 【G-STREAM Series】 ▼ Patent Granted by the Patent Office, Recipient of the 50th Invention Award Contribution Award, Certified Product of the Tokyo Metropolitan Government's Trial Order for FY 2023, Portable Automatic Fuel Supply System 【Intelligent Tank System】 ▼ [Disaster Prevention Product Certification] Disaster Stockpiled Fuel【Dedicated Stockpiling Gasoline】 and more Based on these, we will provide proposals related to 【Electricity and Power】 in various situations. We sincerely look forward to your visit.