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This document is a collection of case studies on the implementation of "hakaru.ai" in building maintenance and management. It includes the case of Company A, a comprehensive building maintenance company that has been able to maintain a certain level of inspection quality, as well as Company D, a security management company that has reduced back-office operations, and Company E, a commercial building management and maintenance company that has achieved a reduction in overall working hours. We also provide links to interviews with each of the implementing companies. [Contents] ■ Purpose of Use ■ CASE 01 Company A, Comprehensive Building Maintenance ■ CASE 02 Company D, Security Management ■ CASE 03 Company E, Commercial Building Management and Maintenance *For more details, please download the PDF or feel free to contact us.
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This document is a collection of case studies on the implementation of "hakaru.ai" in utility equipment management and manufacturing. It includes the case of Company D, a chemical materials manufacturer, which significantly reduced errors during meter readings and office confirmations, as well as Company B, an electronic components manufacturer, which reduced meter inspection work time by 45% compared to conventional methods, and Company C, a chemical materials manufacturer, which was able to digitize its meter reading operations. We also provide links to interviews with each of the implementing companies. [Contents] ■ Purpose of Use ■ CASE 01 Company D, Chemical Materials Manufacturer ■ CASE 02 Company B, Electronic Components Manufacturer ■ CASE 03 Company C, Chemical Materials Manufacturer *For more details, please download the PDF or feel free to contact us.
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In this document, we answer questions from manufacturing customers regarding "hakaru.ai." We introduce various topics, including an overview of the service, compatible meters, inspection work, requirements for implementation, usage environment, and data storage. Additionally, we have included a collection of links to reference information that you may want to view on the hakaru.ai by GMO site. Please take a look. [Contents] ■ About hakaru.ai ■ About compatible meters ■ About inspection work ■ About implementation ■ About usage environment and data storage ■ Link collection *For more details, please download the PDF or feel free to contact us.
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In this document, we answer frequently asked questions regarding the use of "hakaru.ai" for building maintenance meter readings. We introduce various topics, including an overview of the service, compatible meters, inspection meters, usage of the web ledger, and inspection work. We offer a free trial period available to anyone. Please feel free to consult us if you need support for implementation, whether through web meetings or on-site testing. 【Contents (partial)】 ■ About hakaru.ai ■ Compatible meters ■ Inspection meters ■ Usage of the web ledger ■ Inspection work *For more details, please download the PDF or feel free to contact us.
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This document introduces frequently asked questions regarding the API integration of "hakaru.ai," which aims to eliminate human errors in meter readings. It includes an overview of the service, the functions provided via the API, how to use the "Inspection API" and "Ledger API," as well as information on compatible meters, usage environments, and resale/OEM options. When using the API, the number of calls can be designed according to your conditions. 【Contents】 ■ About hakaru.ai API integration ■ Compatible meters and usage environments ■ Resale and OEM information ■ Public API documentation (GitHub) *For more details, please download the PDF or feel free to contact us.
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The "hakaru.ai byGMO Meter Inspection API" is an AI engine designed to enhance inspection efficiency by implementing the meter reading functionality of "hakaru.ai byGMO" through API integration with other management systems or applications. It offers two types of APIs: the "Inspection API," which integrates an AI engine that reads meter values through image recognition, allowing existing services to add this functionality, and the "Ledger API," which enables field meter reading tasks to be conducted using the "hakaru.ai" smartphone app or a web ledger on a computer, allowing recorded data to be integrated with other systems. We have prepared a document summarizing frequently asked questions, including usage methods, supported meters and environments, resale, and OEM, so please make use of it. 【Features of hakaru.ai】 ■ Significantly reduces effort, misreading, and work time ■ Allows remote confirmation of inspection status and meter reading data ■ Frees users from visual checks, handwritten notes, and data entry during meter reading tasks *For more details, please download the PDF or feel free to contact us.
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We would like to introduce a case where the meter inspection API of "hakaru.ai" was integrated into "GrowOne Maintenance," which supports all after-sales service operations within the "GrowOne" series of business systems developed by Nissei Com Co., Ltd. In this case, the company required API usage for integration with the on-site report digitization system "i-Reporter" that the customer had implemented. As a result, they appreciated the user-friendly API provided by "hakaru.ai." [Case Overview (Excerpt)] ■ System integrated with "hakaru.ai" inspection API ・GrowOne Maintenance ■ Reasons for selection ・Many successful implementations, with a good balance of functionality and price ・API was provided, and the specifications were easy to understand, allowing for seamless implementation of the integration program *For more details, please download the PDF or feel free to contact us.
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We would like to introduce a case where Kansai Electric Facilities Co., Ltd., which conducts a wide range of comprehensive management including building maintenance, has implemented our "hakaru.ai." The company was looking for a solution to alleviate excessive workload in meter reading operations and to create a system that would prevent erroneous readings. After implementation, even at sites where over 100 readings are taken at the end of each month, we received feedback that there were almost no reading errors and that the data entry work on computers was also reduced. [Case Overview (Excerpt)] ■Challenges - Wanted to eliminate erroneous readings during meter readings and improve the efficiency of the reading process. ■Reasons for Selection - Compatible with iOS - Supports offline mode, allowing use in areas without signal - High security level regarding cloud usage *For more details, please download the PDF or feel free to contact us.
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We would like to introduce a case where our "hakaru.ai" was implemented at Taisei Corporation, a comprehensive service company for building maintenance. The company faced two major challenges: reducing the time required for creating and verifying meter reading reports, which is labor-intensive, and eliminating overbilling due to incorrect meter readings. After implementation, by using the reading function during photography, recognition through visual and auditory means became possible, and evidence could be retained through photographs. As a result, the likelihood of mistakes has decreased. [Case Overview (Excerpt)] ■Challenges - Simplification of tasks and improvement of reliability ■Reasons for Selection - No special hardware required; easy operation using smartphones - Real-time reflection in the ledger *For more details, please download the PDF or feel free to contact us.
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We would like to introduce a case where our "hakaru.ai" was implemented at Seibi Co., Ltd., a long-established comprehensive building maintenance company. The company required high accuracy in meter reading values, so they took photos of the reference values and saved them, performing double and triple checks on the meter reading values. Therefore, during our presentation, we highlighted two key points: the ability to analyze the reference values while simultaneously saving photo data, and that setting a threshold would notify them of any abnormal values. 【Case Overview (Excerpt)】 ■ Challenges - Improvement of verification efforts to enhance the accuracy of meter reading values required by building tenants - Prevention of simple mistakes due to the nature of the repetitive tasks ■ Reasons for Selection - Simplification of tasks (simultaneous input of meter reading values and saving of photos) - Once the technique for taking photos was grasped, the work could be completed very quickly *For more details, please download the PDF or feel free to contact us.
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We would like to introduce a case study where our "hakaru.ai" was implemented at Kobe Steel, Ltd., a blast furnace steel manufacturer. The company's challenge with meter readings was that it originally started from overseas locations, so it was crucial to determine if it could be used abroad. As a result, the decision to adopt was significantly influenced by the fact that "hakaru.ai" could meet the company's needs not only on its own but also through integration with "FileMaker," allowing it to be utilized at overseas bases. [Case Overview (Excerpt)] ■Challenges - Desire to use it at overseas locations - Implementation of a solution that is cost-effective, flexible in responding to business changes, and capable of horizontal deployment ■Reasons for Selection - Capability for use overseas - Ability to utilize through API integration rather than as a standalone service (Claris FileMaker) *For more details, please download the PDF or feel free to contact us.
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We would like to introduce a case where our "hakaru.ai" was implemented at Harima Bistem, a comprehensive building maintenance company. The company had challenges in eliminating errors in meter readings and reducing the labor and time required to address these issues. After implementation, the increase or decrease in usage is displayed on the smartphone screen, making the subjective aspects that can vary between individuals more accurate. [Case Overview (Excerpt)] ■ Challenges - Measures to prevent errors in meter reading tasks and improve the efficiency of verification work ■ Reasons for Selection - It is a service specialized in meter reading - Good cost performance - Support system for implementation and follow-up *For more details, please download the PDF or feel free to contact us.
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We would like to introduce a case study of the implementation of our "hakaru.ai" at NTK Corporation, a comprehensive management company for buildings and apartments. The company had been using a meter reading app for some time, but due to manual input, there were inevitably input errors and misreadings of values. After the implementation, human errors have been significantly reduced. The usability that allows operations to be completed on a smartphone and the substantial reduction in work time have also been highly evaluated. 【Case Overview (Excerpt)】 ■Challenges - Reduction of human errors caused by manual work - Reduction of personnel and time savings in meter reading operations ■Reasons for Selection - Excellent usability that is easy for the elderly to use - Overall score considering cost performance *For more details, please download the PDF or feel free to contact us.
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We would like to introduce the case of ROHM Co., Ltd., which has been advancing the implementation of "hakaru.ai" with advice since the development of the beta version. They officially adopted it with the product version release in 2019 and are also utilizing a newly developed optional feature that can be used for daily inspections in a checklist format. After implementation, we were able to achieve the digitization of inspection tasks by consolidating data aggregation work that was previously done using paper ledgers and software like Excel. [Case Overview (Excerpt)] ■ Challenges - Improvement of instrument inspection tasks - Improvement of manual work in production sites ■ Reasons for Selection - High versatility through AI utilization - Low implementation costs and easy installation without the need for construction *For more details, please download the PDF or feel free to contact us.
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We would like to introduce a case where our "hakaru.ai" was implemented at Hishisa Building Management Co., Ltd., which manages buildings and apartments. The company introduced our solution after two trials, aiming to improve the quality of meter readings and enhance operational efficiency. After implementation, the interface has been designed to be straightforward and easy to use, and we have received feedback indicating satisfaction. [Case Overview (Excerpt)] ■Challenges - Reducing the time spent checking meter readings to mitigate risks - Improving efficiency, quality, operations, and productivity in meter reading tasks ■Reasons for Selection - High accuracy of AI meter reading, which addresses the challenges we faced - Smooth execution of a free trial without cumbersome procedures prior to implementation *For more details, please download the PDF or feel free to contact us.
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We would like to introduce a case where Fujiumi Building Service Co., Ltd., which conducts comprehensive building management, has implemented our "hakaru.ai" and Excel report integration option. The company had challenges not only in improving the quality of regular meter readings but also in wanting to reduce the time spent on creating meter reading reports and photo albums. After implementation, it has been praised for being easy for anyone to use and for the ability to create meter reading reports and photo albums. 【Case Overview (Excerpt)】 ■Challenges - Wanted to reduce the time spent on creating meter reading reports and photo albums ■Reasons for Selection - Able to use meter reading software at a relatively low cost - Can create QR codes and modify meter reading reports on their own - The support from the person in charge was very attentive *For more details, please download the PDF or feel free to contact us.
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The meter reading service "hakaru.ai" aims to be a service that is useful at our customers' sites, with the concept of "making inspections easier." To verify whether our "hakaru.ai" is performing well for the companies that are actually using it, we conducted interviews. *For detailed content of the column, you can view it through the related link. For more information, please download the PDF or feel free to contact us.*
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No matter how much caution is exercised, human errors still occur. I believe this is something everyone has experienced at least once. In the field of meter inspections and meter readings, there is a reality where unintended mistakes, such as misidentifying the meter during inspection or making errors in writing or transcribing, cannot easily be reduced to zero. Here, we will explore the reasons behind human errors and consider ways to change work processes to prevent mistakes. *For detailed content of the column, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*
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In the field of building maintenance and facility management, meter inspections and readings are still largely done by human eyes and handwritten records, with workers returning to their desks to input the data into computers. As the labor shortage becomes more severe, there is indeed a need to reduce the workload, but there are challenges that cannot be addressed immediately, such as the significant capital investment required to replace with smart meters and the inability to stop equipment operation. Additionally, this process carries the potential for numerous human errors, and there are indeed sites struggling with ongoing mistakes such as misidentifications and incorrect entries. Let’s consider three key points to avoid human errors. *For more detailed information, please refer to the related links. For further details, feel free to download the PDF or contact us.*
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The system of smartphone-based meter reading "hakaru.ai," which allows you to start simply by sticking a two-dimensional code on the existing meter without the need for significant initial investments like replacing meters, will be explained from the perspective of preventing human error. First, it is important to understand that human error is something "anyone can make" and to take measures against it. As a countermeasure, using digital tools like "hakaru.ai" and leveraging the "eyes" of AI can help reduce fatigue and shorten work time, thereby eliminating the causes and possibilities of human error. *For more detailed information, you can view the related links. For more details, please download the PDF or feel free to contact us.*
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Digital Transformation (DX), which is being promoted across various industries today, offers benefits such as improved productivity, reduced production costs, enhanced responsiveness to the market, and insights provided by technology through data analysis, which facilitate decision-making and new product development. Its importance is particularly emphasized in industries like manufacturing. However, DX has stages, and the effects of utilizing data can only be truly felt when one reaches the final step. So, what is the first step? It lies in the collection and digitization of data within daily operations. Here, we will first consider the benefits of the fundamental task known as "digitization." *For more details, you can view the related links. For further information, please download the PDF or feel free to contact us.*
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From buildings and residences to factory structures and equipment maintenance sites, there are numerous measuring instruments everywhere, such as meters used to measure energy consumption like electricity, gas, and water, as well as meters used for managing manufacturing processes within factories. In the verification process of these instruments, it is still common to visually check the values and record them by hand in paper ledgers for storage. Alternatively, handwritten values may be entered into Excel to digitize the data, which is still managed by human effort. Because this data is important, there is an aspect of it being managed diligently by people; however, given the increasing severity of labor shortages, many may feel that this is a task that requires operational improvement. Here, we will specifically look at the necessity of digitizing instrument inspections. *For detailed content of the column, please refer to the related links. For more information, feel free to download the PDF or contact us.*
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In Japan, which is referred to as an era of declining birth rates and an aging population, the proportion of elderly people is increasing year by year. According to statistics from the Ministry of Health, Labour and Welfare, it is estimated that by 2040, the population aged 65 and over will account for about 35% of the total population. That said, we live in a modern age often referred to as the era of 100-year lifespans. It is also true that life expectancy has increased compared to the past. In a society where the working years are extending, creating a system that allows people to continue working with a greater sense of fulfillment is a priority issue that we should address now. This time, we will consider the necessity of digitization from this perspective. *For more details on the column, please refer to the related links. For further information, feel free to download the PDF or contact us.
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In hospital medical equipment management, accurate meter readings are essential for understanding the operational status of equipment and ensuring appropriate maintenance. However, manual meter checks not only require time and effort but also increase the likelihood of human error. This is particularly important in hospitals where many medical devices are in operation, necessitating an efficient management system. hakaru.ai by GMO allows for the efficiency of inspection tasks by simply taking a photo of the meter with a smartphone, enabling AI to read the values. 【Use Cases】 * Management of medical equipment operating hours * Management of usage for electricity, water, etc. * Management of medical gas remaining levels 【Benefits of Implementation】 * Streamlining of inspection tasks * Reduction of human errors * Real-time data verification
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Reducing energy costs in factories requires accurate monitoring of usage. To accurately grasp energy consumption, the efficiency of meter reading is crucial. However, traditional meter reading operations have faced challenges such as manual recording errors, transcription mistakes, and time constraints. These issues can hinder the accurate understanding of energy usage and potentially lead to missed opportunities for cost reduction. hakaru.ai by GMO simplifies inspection operations by allowing AI to read values just by taking a photo of the meter with a smartphone camera. This enables accurate data collection and analysis, supporting the optimization of energy usage. 【Use Cases】 * Management of electricity consumption on manufacturing lines * Understanding energy consumption of air conditioning systems * Visualization of energy usage across the entire factory 【Benefits of Implementation】 * Cost reduction through the efficiency of meter reading operations * Improved accuracy of data collection * Identification of areas for improvement through the visualization of energy usage
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In the building management industry, accurate meter readings and cost management based on them are crucial. In particular, reducing labor costs and improving operational efficiency have become significant challenges for cost reduction. "hakaru.ai by GMO" allows users to simply take a photo of the meter with their smartphone, and AI reads the values, streamlining inspection tasks. It achieves accurate data collection while keeping initial costs low and supports cost reduction plans. 【Use Cases】 * Meter readings for electricity, gas, and water in buildings * Recording and managing reading data * Early detection of anomalies 【Benefits of Implementation】 * Reduction in labor costs through streamlined reading operations * Prevention of human errors * Optimization of cost management through real-time data verification
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By simply photographing the meter with a smartphone, AI reads the values and instantly saves the image digitally. The initial setup involves just sticking a QR code on the meter and taking a picture with a smartphone app. "hakaru.ai by GMO" requires no large capital investment at the time of initial implementation. It is compatible with old analog (needle-type) meters, digital meters, and counter meters, making it useful for improving the efficiency of reading and inspection tasks in manufacturing plants, building maintenance, and facility management, as well as preventing mistakes caused by human error. The ledger, which can be viewed online, allows for real-time confirmation of inspection results and enables anomaly detection. By accumulating data without errors, it promotes the first step towards digital transformation (DX). Please make use of it for your business efficiency and cost reduction plans.
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Free membership registration"ALTUS" is a cloud server that optimizes server costs. With an easy-to-understand management interface, even beginners can get started right away. Additionally, using Plesk (the server management interface) allows for server operation without the need for command-line operations. 【Features】 ■ Excellent cost performance ■ Easy server operation without commands ■ Configuration assistance ■ High-quality support available 24/7 *For more details, please download the PDF or feel free to contact us.
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