New plan "Mojitori Plus" has arrived! From paper to data! The first step in internal DX with Mojitori - Announcement of archive distribution.

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

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

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

We are pleased to announce the archive distribution of our seminar titled "New Plan 'Mojitori Plus' Debuts! From Paper to Data! The First Step Towards In-House DX with Mojitori." 'Mojitori' allows you to convert text from photos, images, PDF files, and more into data, automatically inputting it into various fields in kintone. In this seminar, we will clearly explain the basic functions and usage of Mojitori. Additionally, we will provide detailed explanations about the Plus plan and the document-focused Mojitori, which were added in the major update in November. 【Recommended for】 - Those who are struggling with frequent transcription errors due to manual data entry. - Those who wish to digitize items currently stored on paper. 【Timetable】 - Overview of Mojitori's functions - Overview of Mojitori Plus's functions - Details and pricing of each plan - Q&A session We look forward to your registration.

Is the performance report you are currently creating, which takes a tremendous amount of time and effort, appreciated by the management? Are you facing complaints from management such as: - The reports are coming out late (results from the previous month are reported around the 20th of the current month) - The reports are difficult to understand and hard to read - There is missing necessary information In this seminar, we will introduce a new system for managing performance information that addresses these issues, along with specific methods. The cost is free. We encourage you to participate. □ Seminar Content 1. What is performance improvement? 2. What information is useful for performance improvement? 3. How to view performance information 4. A system for automatically generating performance information and accessing necessary information when needed (Using our company's developed performance information management tool as a model)

Holding a management strategy seminar to "embed" generative AI and connect it to organizational outcomes! Are you facing challenges such as "not knowing how to use it," "lack of progress in utilization," or "not being embedded due to organizational rules and management" while advancing AI implementation? In this seminar, we will thoroughly explain the secrets to realizing an organization where AI operates autonomously, drawing from the generative AI training of Panhouse Co., Ltd. and the management methods of Shikigaku Co., Ltd. In particular, we will share specific case studies of the "Agent Model AI," which is gaining attention as a next-generation AI application, along with organizational design know-how for integrating generative AI into business, management pitfalls that hinder embedding, and their solutions, all accompanied by concrete examples. What you can learn in this seminar: - Experiences and case studies of Agent Model AI (exabase generative AI demo) - Initial preparations and design know-how to accelerate AI utilization - Key management points to break down organizational barriers that hinder AI embedding If you are in management or responsible for ensuring that generative AI becomes a "truly usable" system rather than just "trying it out," we encourage you to participate in this opportunity.

We are pleased to announce that Pan House Co., Ltd. will be participating in the online marketing conference "Data Driven Marketing 2026," which will be held from January 14 (Wednesday) to 16 (Friday), 2026. At this event, where professionals achieving results at the forefront will gather, our Chief Integration Officer, Tsubasa Kimura, will explain the new organizational approaches utilizing AI. Organizational Theory for "Maximum Effect with Minimal Effort" in the AI Era As AI technology rapidly evolves and the marketing environment changes significantly due to cookie regulations, relying on "past success experiences" and "intuition and experience" is reaching its limits. In this session, we will focus on how to utilize AI not just as a tool, but as a strategic infrastructure to build competitive advantages for organizations. We will discuss specific examples and methods on how to maximize the efficiency of marketing operations and establish an organizational structure that leads to results with minimal effort.

"Where should we start with AI implementation, and how can we expand it company-wide?" The reason for the slow progress in AI implementation is not the tools themselves. The key lies in project design that encompasses everything from creating guidelines to establishing a promotion system and turning success stories into models. In this webinar, we will systematically explain the types of AI implementation projects that successful companies practice to overcome the "zero-to-one barrier" and the "utilization promotion barrier." Both companies that have not yet implemented AI and those that are stagnating in their utilization will gain clarity on their respective starting points and take home actionable "answers at the action level" that can be executed starting tomorrow in just 60 minutes. Recommended for those facing the following challenges: This webinar is ideal for individuals in departments at the level of section chief or higher who want to promote AI implementation as a project. Companies that do not know how to "start" AI implementation (zero-to-one stage) Companies that have implemented generative AI but are experiencing stagnation in its utilization Companies lacking a driving force or where the initiative is not moving forward, struggling with individualization and the lack of established training Companies that are looking to expand company-wide but are unclear on how to horizontally deploy Companies considering the introduction of AI training (especially in the pre-approval stage)