News room
Itoki develops "predictive maintenance system" that uses AI analysis to detect signs of malfunction in automated logistics warehouses, to be released in January 2026
This service is being developed as "ITOKI Advanced Maintenance," a maintenance service that enables optimal maintenance. It supports the "uninterrupted operation" of logistics facilities, reducing the risk of sudden shutdowns while optimizing maintenance.
In response to the challenges of labor shortages and growing demand in the logistics industry, ITOKI CORPORATION (headquarters: Chuo-ku, Tokyo; President and CEO: Koji Minato Minato) has developed "Smart Maintenance," a predictive maintenance system based on "Oracle Autonomous AI Database" and "Oracle Cloud Infrastructure (OCI) Data Science" from Oracle Corporation Japan (headquarters: Minato-ku, Tokyo; President and CEO: Tomomitsu Misawa). The system collects operational data from automated logistics warehouses, analyzes it with AI, and identifies signs of malfunctions before they occur.
In January 2026, we will launch "ITOKI Advanced Maintenance," a maintenance service that combines "Remote Maintenance," which allows us to remotely assess the situation and support recovery without visiting the site.
"ITOKI Advanced Maintenance" collects and analyzes operational data from the shuttle-type automated warehouse "Systema Streamer SAS-R" using AI, and by identifying signs of malfunction in advance, reduces the risk of sudden equipment shutdowns, stabilizes business plans, and realizes "uninterrupted logistics operations."
Product development background
While automation and labor-saving measures are progressing against the backdrop of labor shortages, the risk of sudden shutdowns remains
According to the "Logistics Innovation Emergency Package" published by the government in 2023, if no measures are taken, there is a possibility of a 14% shortage in transportation capacity by fiscal 2024 and up to 34% by fiscal 2030. In addition to the worsening labor shortage in the logistics industry, the growth of the e-commerce market has led to an 18% increase in the number of parcel deliveries over the past five years, and the increase in small parcel deliveries and frequent deliveries is placing an increasing strain on logistics operations. Under these circumstances, ensuring a stable supply system has become an urgent issue that is directly linked to the sustainability of Japan's industrial base and economy.
Meanwhile, in logistics sites where automation and labor-saving measures are rapidly progressing, the impact of sudden equipment shutdowns on production and plans remains a major risk. To address these issues, we have developed a predictive maintenance system based on Oracle Japan's Oracle Autonomous AI Database and OCI Data Science, which visualizes operational status and detects signs of failure through the analysis of operational data, enabling planned maintenance while reducing downtime. We have also developed ITOKI Advanced Maintenance, an integrated maintenance service with remote maintenance that can remotely assess the situation and support recovery without visiting the site.
Overview of "ITOKI Advanced Maintenance"
"ITOKI Advanced Maintenance" is a maintenance service plan that can be installed on ITOKI's shuttle-type automated warehouse, "Systema Streamer SAS-R." It features a "Smart Maintenance" predictive maintenance system that uses an AI anomaly detection algorithm to assess operation data collected from sensors and control devices attached to each piece of equipment, and grasps and detects the equipment's condition and signs of failure (anything that is different from usual), as well as a "Remote Maintenance" function that can remotely grasp the situation and support recovery.
The collected operation data includes operating hours, number of operations, operating distance, etc., and by storing and displaying this data, the condition of equipment can be continuously monitored. The intuitive UI allows on-site personnel to understand the operating status, leading to more accurate maintenance plans.
Using this data visualization as a foundation, advanced maintenance functions such as anomaly detection, inventory restrictions, and optimization of part replacement timing can be deployed to reduce the risk of sudden breakdowns that could not be handled by conventional time-based maintenance, and achieve optimization through planned maintenance.
Overview of predictive maintenance systems
Main features of Smart Maintenance (predictive maintenance system)
Optimizing parts replacement timing - achieving stable operation through data-based planned maintenance
The system notifies you of the optimal timing for part replacement based on actual operating data such as operating time, number of operations, and operating distance, helping to prevent breakdowns and avoiding premature replacement.
Anomaly detection and inventory restrictions - Detect signs of malfunction and prevent the entire system from shutting down
AI analyzes operational data collected from sensors and motors, capturing changes in the data and detecting signs of malfunction. For equipment where an abnormality is detected, the system automatically restricts incoming shipments and allows only outgoing shipments to continue operating, thereby localizing the impact on the entire system and preventing a chain reaction of operational shutdowns. This minimizes sudden downtime at logistics sites and enables stable operations to be maintained.
Main features of remote maintenance
Remotely assess the situation and support recovery without visiting the site
This system is equipped with a remote maintenance function that allows the collection of operation data and logs from off-site locations and the remote checking of equipment status. It is possible to operate the control panel (LCU: Local Control Unit) screen and update some software without visiting the site, which shortens the recovery time when a problem occurs. This reduces the frequency of maintenance personnel dispatches, reduces the human workload, and improves maintenance efficiency.
Data analysis and machine learning flow
This system uses a process in which AI learns and estimates the condition of logistics facilities based on the vast amount of sensor data collected from the facilities. First, the data is processed to correct for differences in operation data that occur depending on the location and season, and to remove noise. Next, business knowledge, such as facility structure and operating characteristics, is combined with analytical technology to design feature quantities that can accurately detect abnormalities.
The model was developed using Oracle Autonomous AI Database and OCI Data Science, which efficiently achieved highly accurate learning and inference. This enabled the creation of an AI anomaly detection system that can detect subtle changes that were difficult to detect using conventional threshold-based monitoring, and can identify signs before equipment shuts down.
Future outlook
"ITOKI Advanced Maintenance" is scheduled to be released in January 2026, and will first be offered as a maintenance service plan for the "Systema Streamer SAS-R." Furthermore, we are considering applying it to other logistics facilities and related fields.
Itoki and Oracle Japan will contribute to resolving social issues such as the worsening labor shortage and increasing demand for logistics, and contribute to building a sustainable and resilient logistics network.
Comment from Koji Minato, President and CEO ITOKI CORPORATION
In logistics and infrastructure fields, issues such as labor shortages and aging equipment are becoming apparent, and society as a whole is calling for "uninterrupted operations." "ITOKI Advanced Maintenance" is a new initiative that utilizes "Oracle Autonomous AI Database" and "OCI Data Science" to minimize unexpected shutdowns and improve maintenance plans, simultaneously improving uptime and optimizing TCO.
Itoki has positioned Equipment & Public Works-Related Business as its second pillar after Workplace Business, and through collaboration with Oracle Japan, it will combine cutting-edge technology with on-site knowledge to lead the way in achieving both productivity and stable operation at logistics sites. You can look forward to Itoki continuing to combine technology and human wisdom to support social security and industrial sustainability, while pioneering the "work" and "future" in its specialized fields.
Comment from Shinji Taketsume, Senior Managing Executive Officer and Head of Cloud Business at Oracle Japan
Ensuring logistics supply capacity is the source of customers' profitability and competitiveness. "ITOKI Advanced Maintenance" achieves on-site productivity, stable operations, and continuous innovation in the industry on a robust, highly scalable platform. Based on its "AI and data-centric" strategy, Oracle promotes problem-solving through an ecosystem centered on the safe use of private data. In the AI infrastructure field, we collaborate with AI development vendors, particularly in Japan, based on use cases, and supported the launch of this project. Through "Oracle Cloud," we will strongly support Itoki's digital transformation and sustainable growth.
References
・Itoki's solutions for factories and logistics facilities (Systema Streamer SAS, etc.)
https://www.itoki.jp/solution/field/distribution/
・ITOKI develops "X-NR (Project Code)," a storage-specialized automated transport system that responds to on-site logistics restructuring, and plans to release it in 2026
https://www.itoki.jp/company/news/2025/0703_X-NR/
・Emergency logistics innovation package
Cabinet Secretariat https://www.cas.go.jp/jp/seisaku/buturyu_kakushin/pdf/kinkyu_package_1006.pdf
Ministry of Land, Infrastructure, Transport and Tourism https://www.mlit.go.jp/seisakutokatsu/content/001725232.pdf
About Oracle Japan
Oracle Japan's mission is to help people understand data in new ways, uncover its essence, and unlock its limitless potential. We provide cloud services that maximize the value of information through a data-driven approach, as well as a variety of services to support their use. Oracle Japan is the Japanese subsidiary of Oracle Corporation. Listed on the Tokyo Stock Exchange Standard Market (Stock Code: 4716).
URL www.oracle.com/jp
About Itoki's facility equipment business
ITOKI CORPORATION was founded in 1890. With the mission statement of We Design Tomorrow. We Design WORK-Style." the company supports the creation of a variety of "spaces," "environments," and "places" with its strengths of "Tech x Design based on PEOPLE," including the manufacture and sale of office furniture, “Space," “Environment," and “Place", work style consulting, and office data analysis services, as well as furniture for working from home and studying at home, and equipment for public facilities and logistics facilities.
In the facility equipment business, we provide a wide range of system equipment that accurately meets social needs, including factory and logistics equipment (SAS) that requires safety and functionality, special doors that require high technology and reliability, and information security systems using biometric authentication and IC cards.
To this release
Contact information
ITOKI CORPORATION
Facility Equipment Business Headquarters
press personnel
Contact information
ITOKI CORPORATION
Corporate Communications Division
Public Relations Division
TEL:03-6910-3910
- The information posted is current at the time of publication. Please note that the information may differ from the latest information.