[Free Case Study Available] Achieving Efficiency and Quality Improvement in Production Sites with AI! Publicizing Asahi Densou's Success Case.
Asahi Denso Co., Ltd. has introduced Confide for Factory to address important challenges faced by the manufacturing industry, achieving remarkable results. This case study presents the detailed process and specific outcomes. 【Challenges Addressed】 - Complexity of paper-based document management - Decrease in data accuracy - Difficulty in grasping real-time progress and quality data - Improvement of operational efficiency 【Some Effects of the Implementation】 - Improved operational efficiency: Reduced data entry effort, resulting in smoother and more accurate work. - Visualization and sharing of information: Real-time information sharing enables effective progress management. - Reduction in working hours: A reduction of work hours equivalent to six people per day. By moving away from paper-based document management and embracing digitalization, transparency in business processes has improved. Employee productivity has significantly increased, and errors and mistakes have decreased. Additionally, communication between departments has become smoother, strengthening the overall cooperation of the team. Confide for Factory is evaluated as an essential tool that supports digital transformation in the manufacturing industry and enhances the overall competitiveness of companies.
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basic information
Electronic Document System - Features 【Document Digitization】 ・Convert paper documents into electronic files ・Use OCR to extract item numbers and other information from documents and save as PDF with the extracted file name 【Search and View】 ・Search and view documents related to products within the system ・Search using product information such as item numbers 【Access Restrictions】 ・Limit access based on the permissions held by the user ・Permissions are required for viewing and editing
Price information
Negotiable *The structure may change depending on the requirements, so please contact us.
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Applications/Examples of results
1. Relevant Industries 【Manufacturing】 Production management, quality control, process management 【Logistics】 Inventory management, shipping management, delivery records 【Construction】 Drawing management, process management, safety management 【Healthcare】 Patient record management, prescription management, test result management 【Finance】 Contract management, customer information management, transaction record management 2. Main Uses 【Document Management】 - Digitizing paper documents for centralized management in the system 【Information Retrieval】 - Extracting data with OCR functionality for rapid information retrieval 【Access Control】 - Setting access restrictions based on user permissions to enhance information security 【Work Efficiency Improvement】 - Reducing creation time and improving business efficiency by eliminating handwritten and manual input 【Error Reduction】 - Digital input system to prevent misentries and omissions 【Space Reduction】 - Reducing storage space for paper documents and making effective use of physical space 【Cost Reduction】 - Reducing costs associated with printing and paper
catalog（3）
Download All Catalogs![[Case Study] "There's no going back!" Praised by the on-site personnel. The reason Asahi Densou implemented an electronic document system using AI.](https://image.mono.ipros.com/public/catalog/image/01/fdd/768506/IPROS16721697979550153556.jpeg?w=120&h=170)
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Company information
Our company is an AI startup founded by researchers from the University of Tokyo and the French research institution Inria, with a mission to "improve quality and efficiency through advanced AI technology" specifically for the manufacturing and logistics industries. Our technology meets the needs of quality control, production technology, and DX promotion departments, enabling optimization of production processes and risk management. The founder, Yamamoto, has conducted AI research at Yahoo Japan and Inria, presenting results at top international conferences such as WWW and RecSys. Over 80% of our team consists of researchers who studied AI and computer science at world-class universities like the University of Tokyo, Cambridge, and Imperial College. With their international perspectives and advanced skills, we provide innovative solutions to quality control challenges. In particular, in mission-critical areas that emphasize the interpretability of AI, our XAI (explainable AI) technology brings transparency to the reasoning behind AI decisions for managers in quality control and production technology departments, supporting safer and more reliable system operations. This leads to improvements in production efficiency and quality, promoting sustainable growth in the manufacturing and logistics industries.
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