AI inside List of Products and Services

We would like to introduce a case study of Selory Co., Ltd., a uniform manufacturer that is committed to "reliable manufacturing," which has implemented the AI-OCR "DX Suite" to achieve operational efficiency. The return process, which generates approximately 200,000 to 300,000 cases annually, was time-consuming, and during peak seasons, overtime was sometimes required. After implementation, the time spent on the return process was reduced by 75%. Even during busy periods, there was no overtime due to return processing, and the field became more proactive about digitalization. 【Case Overview】 ■ Target Documents: Return slips and other paper materials ■ Before - The return process that occurs daily was time-consuming - Overtime was sometimes required during peak seasons ■ After - Reduced time spent on the return process by 75% - The field became proactive about digitalization *For more details, please refer to the PDF materials or feel free to contact us.

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We would like to introduce a case study of Sugiyohouen, a sixth-sector industrialization company that consistently manufactures and sells products such as honey, royal jelly, and propolis, as well as cosmetics, which has implemented "DX Suite." For each registration, two operators performed manual input twice, resulting in a significant increase in manual input tasks due to the growing number of stores. After implementation, the number of operators was reduced, resulting in approximately six hours of time savings per day. Additionally, the freed-up resources allowed for the establishment of a new analysis department. 【Case Overview】 ■ Target Document: Membership Registration Form ■ Before - For each registration, two operators performed manual input twice. - The increase in the number of stores led to an excessive amount of manual input tasks. ■ After - Reduced the number of operators while achieving approximately six hours of time savings per day. - Established a new analysis department with the freed-up resources. *For more details, please refer to the PDF document or feel free to contact us.

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To meet the diversifying medical needs, Alcare Co., Ltd. continues to challenge itself with technological advancements and the development of new products. We would like to introduce a case where they adopted "DX Suite" to digitize the remaining paper forms. They had been requesting customers to send data instead of FAX, but due to various circumstances, some FAX communications remained. After conducting a trial, they decided to implement "DX Suite" due to its high reading accuracy. "We absolutely cannot make mistakes with order forms, so we prioritize accuracy above all else, and it was truly great that this requirement was met," they remarked. [Case Overview] ■ Target Form: Order Form ■ Product Implemented: DX Suite ■ Purpose: Digitization of remaining paper forms *For more details, please refer to the PDF document or feel free to contact us.

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Founded in 1905, Kobe Steel, Ltd. (KOBELCO), a major steel manufacturer engaged not only in steel production but also in machinery manufacturing and power generation, has implemented "DX Suite" to improve the efficiency of data entry operations across its nationwide locations. Many locations were burdened by paper-based data entry tasks, which took approximately 1,200 hours per year for internal survey data entry. After implementation, the company successfully reduced operational time by about 60%. By using the same tool company-wide, know-how has been accumulated, and sharing usage practices has become easier. 【Case Overview】 ■ Before - Many locations were burdened by paper-based data entry tasks. - Internal survey data entry took 1,200 hours per year. ■ After - Successfully reduced operational time by about 60%. - Accumulated know-how by using the same tool company-wide. *For more details, please refer to the PDF document or feel free to contact us.

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We would like to introduce a case study of Mirai Kogyo Co., Ltd., which manufactures and sells electrical equipment materials, water supply and drainage equipment materials, and gas equipment materials nationwide, that has implemented AI-OCR "DX Suite," RPA, and a fax order system. The challenge was how to overcome the temporary labor shortage caused by employees taking parental leave. After the introduction of our products, we combined three systems to reduce business hours by 50%. We were previously handling input tasks with 11 people, but even with 4 of them currently on parental leave, we are still able to perform input tasks as before. 【Case Overview】 ■ Target Document: Order Form ■ Before - There was a temporary vacancy due to employees taking parental leave. ■ After - Combined AI-OCR with other systems to reduce business hours by 50%. - Established a system that is not affected by personnel changes. *For more details, please refer to the PDF document or feel free to contact us.

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As a measure against the rampant new virus, vaccination began in 2021, and reports indicated that by September of the same year, half of the total population in the country had completed two doses of the vaccine. Those who received the vaccine likely filled out a "pre-vaccination questionnaire" by hand on the day of vaccination and submitted it to the medical institution. This questionnaire is digitized after submission and is used for managing the information of those who have completed their vaccinations. The company we spoke with, SCSK Serviceware Corporation, is engaged in the task of digitizing the pre-vaccination questionnaires and has introduced "DX Suite," which has AI inside's AI-OCR function, and the edge computer "AI inside Cube." This article will introduce how the company is implementing digitalization and innovations in this business and supporting society from behind the scenes. [Content Highlights (Partial)] - Promoting digitalization in response to recruitment challenges and market changes - Adopting AI inside's services to meet high security and reading accuracy requirements *For more detailed information, please refer to the related links. For further inquiries, feel free to contact us.

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Various AI services are being offered by different companies to improve operational efficiency. In this context, we have summarized key points for incorporating AI services into on-site operations more quickly and effectively, based on the implementation cases of "DX Suite." We also share feedback from customers who have experienced the "Success Program for DX Suite." We invite you to read on. 【Contents】 ■ Trial of "DX Suite" for digitizing form information ■ Points to be cautious about when implementing AI services ■ A consultant for solving business challenges, not just support for usage ■ Feedback from customers who experienced the "Success Program for DX Suite" ■ Conclusion *For detailed content of the article, please refer to the related links. For more information, feel free to contact us.

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AI-powered OCR "DX Suite" is being utilized across a wide range of industries. In this article, we summarize the DX initiatives of three companies in the financial sector: a life insurance company, a bank, and a credit card company, based on their use cases of "DX Suite." It is said that DX in the financial industry began to take shape around 2015, with the establishment of specialized departments focused on digitalization as a mission. In the financial sector, which has a variety of paper documents such as new contract applications and home loans, "DX Suite" aims to automate data entry for procedural documents, promoting efficiency and productivity improvements in existing systems. [Contents] ■ Case Study 1: Achieved automation in response to fluctuations in the number of applications ■ Case Study 2: Expanded to multiple operations, resulting in an annual reduction of 1,000 hours of work ■ Case Study 3: Implemented paperless operations alongside AI-OCR, improving accuracy as well *For more detailed information, please refer to the related links. Feel free to contact us for further inquiries.

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We have summarized the use of AI-OCR "DX Suite" in various companies within the real estate industry. The real estate sector requires a diverse range of documents, such as application forms and contracts. In an industry deeply rooted in paper culture, business improvements driven by digital transformation (DX) and work style reforms are progressing. In this article, we will introduce case studies from three companies in the real estate industry. [Contents] ■ Case Study 1: Revising operations triggered by the introduction of "DX Suite," with expectations for overall industry efficiency improvements. ■ Case Study 2: Achieving a level of accuracy that can be utilized by over 100 employees across multiple businesses. ■ Case Study 3: A company with 13 employees digitizing approximately 300 documents annually. *For more detailed information, please refer to the related links. For further inquiries, feel free to contact us.

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The AI-OCR "DX Suite" provided by AI inside is widely utilized across various industries and departments. In this context, we will summarize how different companies have come to use our services, including the backgrounds and challenges they faced, as well as the results and effects after implementation. This article presents case studies of three companies in the manufacturing industry that have utilized "DX Suite." [Content] ■ Employees on the ground can set up and utilize the reading settings themselves. ■ Innovations in their own formats to improve reading accuracy. ■ Creating a process that does not involve human intervention by linking with internal management information. *For more detailed information, please refer to the related links. Feel free to contact us for more details.

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The "DX Suite" from AI inside is an application that digitizes various types of information using our proprietary "character recognition AI." It features the AI-OCR function "Intelligent OCR" and the "Elastic Sorter" function, which sorts large volumes of documents into the same format, supporting business efficiency and DX promotion through the digitization of documents. In this article, we will introduce five benefits of utilizing the "DX Suite" in response to the amendments to the Electronic Bookkeeping Preservation Law that came into effect in January 2022. [Contents] ■ Supports various types of documents ■ High-precision data conversion even for handwritten characters and overlapping impressions ■ Low cost of 1 yen per item ■ High-precision text data conversion from images taken with scanners or smartphones using image correction functions ■ Sorting is also automated by AI ■ Conclusion *For more detailed information, please refer to the related links. For further inquiries, feel free to contact us.

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As various companies and organizations challenge themselves toward further business transformation, it is believed that the utilization of AI will also advance. Nikkei Cross Tech has published an article titled "In 2022, all Japanese companies are expected to pivot toward in-house AI development, and here are the reasons why," predicting that the "in-house development" of AI will progress. AI inside conducted a survey aimed at understanding the status of in-house AI development and AI talent cultivation, and announced the results in a press release. This article will reintroduce those key points. [Contents] ■ What is "in-house AI development"? ■ Why is in-house AI development necessary? ■ How many people are considering in-house development? ■ Awareness of the need for AI talent cultivation ■ The growing focus on "reskilling" *For detailed content of the article, please refer to the related links. For more information, feel free to contact us.

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In the municipalities that support the foundation of our lives, paper-based procedures and applications have been the mainstream until now. However, due to virus countermeasures and the establishment of the Digital Agency, the environment has changed significantly in the past year or two, and efforts are being made to promote municipal DX, including the expansion of electronic application acceptance. NTT Data Corporation and AI inside have combined RPA and AI-OCR to contribute to solving various corporate challenges. In this article, we interviewed a representative from NTT Data's Social Innovation Business Headquarters, Digital Solutions Division, RPA Solutions Department, about the initiatives of both companies towards municipal DX. *For more detailed information, please refer to the related links. For further inquiries, feel free to contact us.

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The AI-OCR tool "DX Suite" provided by AI Inside Inc. is utilized by customers across a wide range of industries. This document explains six key points to keep in mind when considering implementation, based on our experience with many customer deployments. 【Do you have any of these concerns?】 ■ Considering an OCR tool but unsure of the criteria for selection ■ Thinking about implementing AI-OCR but worried about its usability ■ Want to see case studies on how other companies are utilizing it *For more details, please refer to the PDF document or feel free to contact us. *If you download the PDF document, our representatives may contact you.

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We would like to introduce the case of Nagoya Bank, which implemented AI-OCR "DX Suite" as part of its key strategies outlined in the mid-term management plan starting from April 2020, as a means of utilizing technology. The company had operations that required manual data entry from paper documents, making it difficult to digitize all past data. As a result of the implementation, by combining AI-OCR with macros, they expect to reduce over 1,000 hours annually. It has become possible to digitize past data. 【Case Overview】 ■Before 　・Operations existed that required manual data entry from paper documents. 　・Digitization of all past data was difficult. ■After 　・By combining AI-OCR with macros, they expect to reduce over 1,000 hours annually. 　・Digitization of past data is now possible, creating an environment where true technology can be utilized. *For more details, please refer to the PDF document or feel free to contact us.

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We would like to introduce the case of Kuahara Honke Co., Ltd., which has maximized the use of the "DX Suite" to respond quickly to customer needs. The company previously spent 2 to 3 days per person manually entering a large volume of forms, leading to a backlog of forms waiting to be entered, and during busy periods, they had to call for extra help to manage the manual entry tasks. After implementation, they were able to digitize data within 30 minutes, enabling speedy customer responses, and the reduction in the burden of data entry allowed for a more relaxed atmosphere even during busy periods. 【Case Overview】 ■Before - Spent 2 to 3 days per person manually entering a large volume of forms - Backlog of forms waiting to be entered, requiring extra help during busy periods ■After - Able to digitize data within 30 minutes, enabling speedy customer responses - Reduced burden of data entry allowed for a more relaxed atmosphere even during busy periods *For more details, please refer to the PDF document or feel free to contact us.

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We would like to introduce a case study of Pasona Group, which implemented the "DX Suite" to streamline its recruitment activities. The company had its employees manually score written exams and input comments during interviews, which took 3 to 4 hours of work time just for scoring one written exam. After the introduction of our product, the time required for scoring one written exam was significantly reduced to 15 to 30 minutes, which also helped decrease overtime during busy periods. 【Case Overview】 ■Before 　・Scoring of written exams and inputting comments during interviews were done manually by employees. 　・Scoring one written exam took 3 to 4 hours of work time. ■After 　・The time required for scoring one written exam was significantly reduced to 15 to 30 minutes. 　・This also contributed to a reduction in overtime during busy periods. *For more details, please refer to the PDF document or feel free to contact us.

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We would like to introduce a case study of JCB Co., Ltd., an international card brand born in Japan. The company faced the challenge of needing to somehow digitize a vast amount of paper-based information. After the introduction of our product, they achieved an overall efficiency improvement of 50% to 60% through integration with "RPA." By combining "AI-OCR" with human input, they were able to ensure accuracy. 【Case Summary】 ■Before - There was a challenge of needing to somehow digitize a vast amount of paper-based information. ■After - Achieved an overall efficiency improvement of 50% to 60% through integration with "RPA." - Ensured accuracy by combining "AI-OCR" with human input. *For more details, please refer to the PDF document or feel free to contact us.

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We would like to introduce the case study of POKKA SAPPORO Food & Beverage Co., Ltd., which handles a wide range of products and has implemented the "DX Suite." The company was manually inputting all paper invoices from approximately 500 companies, totaling over 1,000 sheets, into Excel. After the introduction of the product, they were able to recognize their challenges anew, which became an opportunity to unite towards solutions. Additionally, the easy setup allowed them to try various form configurations. 【Case Overview】 ■Before - They were manually inputting all paper invoices from approximately 500 companies, totaling over 1,000 sheets, into Excel. ■After - They were able to recognize their challenges anew, which became an opportunity to unite towards solutions. - The easy setup allowed them to try various form configurations. *For more details, please refer to the PDF document or feel free to contact us.

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We would like to introduce the case of Bridgestone Finance Co., Ltd., which introduced "DX Suite" and "RPA" with the aim of improving the group's operational efficiency, triggered by the outsourcing of invoice entry operations. The company was established as a business aimed at operational consolidation, but felt limited due to its dependence on human resources. After the introduction of the products, they successfully achieved full automation of the invoice entry operations. They were able to eliminate fluctuations in workload and improve efficiency in other operations as well. 【Case Overview】 ■Before - Established as a business aimed at operational consolidation, but felt limited due to dependence on human resources. ■After - Successfully achieved full automation of invoice entry operations. - Eliminated fluctuations in workload and improved efficiency in other operations. *For more details, please refer to the PDF document or feel free to contact us.

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We would like to introduce a case study of SoftBank Corp., which implemented "AI-OCR" and "RPA" to improve the efficiency of its call center operations. The company was manually inputting 6,000 documents received each month with a team of 10 people, and due to the handling of personal information, the services that could be implemented were limited. After implementation, it became possible to complete the process with just one person, and by reviewing the business processes, the introduction of cloud services also became feasible. 【Case Overview】 ■Before - 6,000 documents received each month were manually input by 10 people - Services that could be implemented were limited due to handling personal information ■After - The process can now be completed by one person - By reviewing the business processes, the introduction of cloud services has also become possible *For more details, please refer to the PDF document or feel free to contact us.

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To further promote business efficiency and digitalization, we introduced the AI-OCR "DX Suite" at Keiti Kei Co., Ltd., digitizing order forms, delivery notes, and invoices, thereby streamlining input tasks. The company was spending a significant amount of time each day on input tasks, but after implementing this product, they successfully reduced processing time for delivery notes by 90 hours per month. They have also become capable of handling tasks beyond data entry. 【Case Overview】 ■Before - Spent a significant amount of time each day on input tasks ■After - Successfully reduced processing time for delivery notes by 90 hours per month - Became capable of handling tasks beyond data entry *For more details, please refer to the PDF document or feel free to contact us.

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At B-R 31 Ice Cream Co., Ltd., data analysis was outsourced to external vendors. However, since these vendors did not necessarily have extensive knowledge in the business area, they spent considerable time on tasks such as hearing requests for the addition and selection of features used in predictions, leading to inflated outsourcing costs. After the introduction of our product, we achieved significant reductions in external data analysis outsourcing costs and improved the frequency of shipment volume composition ratio predictions. This allowed for high-precision analysis while keeping costs down. [Effects of Implementation] ■ Significant reduction in outsourcing costs for data analysis services ■ Improved frequency of shipment volume composition ratio predictions (from every three months to on-demand) ■ Enabled objective analysis using AI ■ Achieved high-precision predictions *For more details, please refer to the PDF document or feel free to contact us.

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At TSI Holdings Co., Ltd., we outsource the operation of our warehouses, and veteran staff manually calculate the necessary shipping quantity forecasts to organize warehouse shifts based on their experience. Due to situations such as being able to shop only online during the state of emergency, we faced a significant increase in shipments, making forecasting difficult. After the introduction of our product, the error rate between actual shipping volumes and forecast values improved from 42.0% with the previous manual method to 16.8%, achieving a 25.2-point improvement. 【Business Challenges】 - Shipping quantity forecasts were manually calculated by veteran staff. - The situation during the state of emergency, where shopping was only possible online, led to a significant increase in shipments, making forecasting challenging. *For more details, please refer to the PDF document or feel free to contact us.*

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Here is an introduction to the differences between "RPA" and "AI." RPA is a rule-based technology that automates business processes that are defined according to specific rules. On the other hand, AI is a judgment-based technology that makes decisions and executes actions based on a vast amount of data. By combining AI and RPA, it becomes possible to automate tasks that were previously difficult, such as "enhancing product-specific demand forecasting accuracy" and "detecting failures in industrial machine parts" in the manufacturing industry. 【Differences between RPA and AI】 ■ RPA - A rule-based technology that automates business processes defined according to specific rules - Handles "simple tasks" ■ AI - A judgment-based technology that makes decisions and executes actions based on a vast amount of data - Handles "thinking tasks" *For more details, please refer to the PDF document or feel free to contact us.

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We would like to introduce a case where our AI-OCR 'DX Suite' was adopted by Gakken Logistics Co., Ltd. The company was digitizing paper documents such as enrollment application forms for Gakken classrooms by employing specialized data entry personnel. However, during peak periods, they faced data entry tasks amounting to 300,000 sheets, which is about three times the usual volume. After the introduction of our product, they were able to reduce the time spent on data entry tasks by 75%, with the workload per person decreasing from 8 hours to just 1-2 hours. [Case Overview] ■ Background - Digitization of paper documents such as enrollment application forms and tuition fee withdrawals for Gakken classrooms was carried out by employing specialized data entry personnel. - During peak periods, data entry tasks reached approximately 300,000 sheets, about three times the usual volume. ■ Effects - Reduced data entry task time by 75%. - Workload per person decreased from 8 hours to 1-2 hours. *For more details, please refer to the PDF document or feel free to contact us. *If you download the PDF document, our representative may contact you.

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The Electronic Bookkeeping Law is a regulation that allows for the digitalization and storage of national tax-related books and documents, provided certain conditions are met. In this column, we will introduce the main points of the amendments and the use cases for AI-OCR in detail. Even in tasks not related to the Electronic Bookkeeping Law, reducing the time and effort spent on data entry through AI-OCR can enable you to engage in more productive work. [Contents] ■ What is the Electronic Bookkeeping Law? ■ Main points of the amendments ■ Efficiency and automation using AI-OCR ■ Conclusion *For more details on the column, please refer to the related links. Feel free to contact us for more information.

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