Value Creation

DX Strategy

This is a image related to Value Creation

Policy

Through DX, NOF aims to continue to be a company where all employees are highly motivated to engage creatively in their work and promptly provide high-quality products and services that anticipate the needs of customers and society. To this end, we will utilize digital data and technology to strengthen our ability to develop new products and technologies and improve productivity. As a DX strategy for realizing this vision, we have adopted “Promotion of business improvement and efficiency through digitalization” and established the following three priority implementation items: (1) DX talent development, (2) driving DX, and (3) development of a data utilization environment. By implementing these items, we will provide value to our customers and to society in the form of more sophisticated marketing, strengthened R&D capabilities, and improved productivity and quality, and to our employees in the form of automation and streamlining of operations, and reform of work styles.

DX Strategy

Driving operational improvement and efficiency through digitalization

Priority items

1. DX Talent Development
 (1)Accelerate the development of DX talent
 (2)Improve DX literacy

2. Driving DX
 (1)Advance Company-wide DX activities
 (2)Support DX activities in each division and site

3. Development of a Data Utilization Environment
 (1)Build a data utilization platform
 (2)Advance internal data utilization
 (3)Introduce an information search system
 (4)Establish policies and an environment for using generative AI

Development of DX Talent Development

DX Talent Development Program

Based on its DX strategies and challenges, NOF focuses on developing DX human resources to establish a framework in which each division and site can drive DX autonomously. Development program participants are selected from each division and location and classified into three personnel types: “DX Promoters,” “Data Utilization Promoters,” and “System Administrators”. To help them acquire the necessary expertise and skills, we provide, in addition to the standard program, individualized training based on participant survey results, thereby offering learning opportunities tailored to each person’s challenges and needs. In the third phase of the development program, 64 employees are participating in the DX talent Development Program. Those who complete the program are certified as “DX Human Resources” and issued a “Digital Certificate.” Furthermore, 53 “DX Experts” selected from among the DX talent play a central role in our DX activities.

This diagram provides an overview of the DX Talent Development Program. The overall flow consists of three phases: selecting employees for development, development by DX human resources role, and evaluation of the development program. In the selection phase, candidates are selected from each division and location, and human-resource assessments using skills surveys and questionnaires are conducted to identify skill levels and issues. Next, in the phase of role-specific DX talent development, DX literacy training taken by all selected employees serves as the foundation, followed by three specialized programs tailored to each role. DX Leaders receive training in areas such as basic knowledge for DX planning, business-model research, development of proposal stories, and personal information protection. Data Champions receive introductory and applied data science training and digital-society security training. System administrators receive training in areas such as the fundamentals of system development and networking. Finally, the program-evaluation phase shows a process for periodically evaluating and reviewing the program.

Overview of the DX Talent Development Program

These two tables show the status of DX talent development initiatives and the number of DX experts. The table showing the status of DX talent development lists 75 participants in Phase 1 (December 2023 to September 2024), 65 in Phase 2 (December 2024 to September 2025), and 64 in the ongoing Phase 3 (December 2025 to September 2026). The table showing the number of DX experts indicates that 26 people were selected from Phase 1 participants and 27 from Phase 2 participants, for a total of 53 DX experts, illustrated with arrows and figures from the Phase 1 and Phase 2 totals.

Status of Initiatives for the Development of
DX Talent/Number of DX Experts

These are images of three types of digital credentials, or open badges, awarded according to DX talent roles. From left to right are a purple badge for DX Leaders, a blue badge for Data Champions, and an orange badge for System administrators.

Awarding “Digital Credentials” to DX Talent

Overall Schedule for the DX Talent Development Program (Third Phase)

The DX talent Development Program operates on a one-year cycle. In the third phase of the development program, participants were selected in December 2025, and basic and advanced training was conducted through August 2026. After confirming participants’ proficiency through comprehension checks and skill assessments, we will review the development program. New development program participants and DX Experts will be selected in December 2026, and the next program is scheduled to begin. The DX Experts lead DX activities in their divisions and sites by participating in the “DX Liaison Meeting” and other activities.

This schedule shows the overall timeline and process for Phase 3 of the DX Talent Development Program. In the upper DX talent section, after selection at the end of November 2025, participants take the basic course from December 2025 through April 2026 while also completing comprehension checks and skills assessments, then move on to the applied course from April through August 2026. Unlimited-access e-learning is available to those who wish to participate. In Q2 of FY2026, comprehension checks and skills assessments are conducted again to compare understanding before and after training. Participants are then selected for the next phase, and the program continues from Phase 4 onward. In the lower DX-expert section, members selected from those who completed Phase 2 participate in the DX Liaison Meeting held four times a year while undertaking DX promotion activities in their divisions and locations and various training programs, including planning training, practical training, and unlimited-access e-learning. The diagram shows their continued participation in the development program.

Overall Schedule for the DX Talent Development Program (Third Phase)

Driving DX

Projects requiring the introduction of technology or involving extremely high levels of difficulty are led by the Information Systems Department. For projects requiring cross-divisional or cross-system coordination, the Information Systems Department supports the relevant divisions in driving DX.

Status of Operational Efficiency Improvements
Theme Issues DX initiatives Progress
Improving the efficiency of quality control operations Inspection scheduling depends on individual judgment, creating issues with person-dependent operations and efficiency Building an inspection scheduling system using a cloud-based business platform to standardize and streamline operations Under development for introduction in October 2026
Improving the efficiency of invoice issuance operations Extensive manual work and a heavy workload Digitalizing invoice issuance Migration completed by division
Improving the efficiency of master data applications and registration in
core systems
Extensive manual work and a heavy coordination workload Improving the efficiency of master data application and registration operations and convenience for user divisions Under development for introduction in November 2026
Advanced use of management and operational data Effective use of core system data Utilizing data through a combination of ETL and BI tools Operations have begun at a specific plant, and a data publication environment is being built for Company-wide rollout
Improving the efficiency of aggregation work in management accounting and creating
a database
Considering the introduction of a business management system Considering implementation through a project team
Efficient document searches Internal documents are managed in a fragmented manner, making it
time-consuming to search for and
use necessary information
Improving searchability through the introduction of a document search tool Conducting trials of document search tools while considering a review and expand access routes to existing search methods
Improving productivity through Company wide business platforms Many application and approval procedures are still paper-based Converting application and approval procedures into workflows to reduce workloads and improve efficiency Workflow development is progressing for Company-wide and intra-divisional operations, with a cumulative total of 150 workflows currently in operation
Customer information management Fragmented customer information and sales activity data Centralized management through the introduction of a customer relationship management platform (CRM) Introducing and utilizing the system in stages and working to embed it in a form suited to each division’s operations


DX Liaison Meeting

With the Information Systems Department serving as the secretariat, the “DX Liaison Meeting” is held four times a year, with the DX Experts as its primary members. In FY2025, activities included monitoring the status of company-wide DX initiatives, exchanging information among the DX Experts, and sharing expertise. We also launched “DX Portal” as a company-wide information platform and shared the results of “Project Planning Training,” in which the DX Experts participated jointly, as well as progress on activities to transform the LS Aichi Plant into a smart factory.
We also shared DX initiatives at individual divisions and locations, including a case involving the use of a video creation tool and a case involving greater efficiency in order processing at
the Daishi Plant.

This diagram shows the organizational role of the DX Liaison Meeting and the flow of information. At the bottom layer, DX experts are selected from worksites in business divisions, plants, departments, and other locations throughout Japan. At the middle layer, the selected DX experts form the DX Liaison Meeting, where they exchange information and share know-how on practical DX promotion, consolidate knowledge of operations and digital technologies, and work to energize and efficiently promote company-wide DX. At the top layer, the Information Systems Department serves as the secretariat and oversees and promotes DX. Arrows show two-way coordination through communication and alignment on overall policies, support for individual projects, and understanding of DX needs, issues, and initiative status at each worksite.

DX Liaison Meeting

Development of a data utilization environment

To realize innovation and improved productivity through data utilization, we will develop the underlying environment. In addition to infrastructure development, we are also looking into the development of a data management system, including rules and organization. By establishing these environments and systems, we will optimize manufacturing processes, improve defect rates, optimize inventories, automate production planning, conserve energy, streamline R&D operations, promote the use of intellectual property, strengthen preventive maintenance, promote occupational safety and health, visualize skills, and pass on know-how.

This structural diagram shows the future vision of the data utilization environment. At the bottom are core business systems and customer management systems operating in various business divisions and plants, as well as data digitized from paper records and tacit knowledge. Under rules that clarify where data is located and who is responsible for it, and that govern data use based on access restrictions, these data are centralized and integrated across organizations into the company-wide data utilization environment shown at the upper center. The integrated data are visualized using various graphs and analysis tools. Arrows show how this leads to more advanced individual analysis, innovation through faster development of new technologies and products, and more sophisticated cross-organizational management.

Future Vision of the Data Utilization Environment


Generative AI Utilization Strategy

In FY2025, the use of generative AI became increasingly widespread within the Company, with monthly active users reaching at least 80%. As individual employees incorporated it into their work, STEP 1, individual utilization to streamline routine work, became firmly established. The “Generative AI Utilization Promotion Liaison Meeting,” which is responsible for promoting its use, was also held four times in FY2025. This liaison meeting was established when the introduction of generative AI was being considered and, following its company-wide introduction, serves as a forum for sharing generative AI utilization status and expertise. Major activities included presenting revisions to the “Generative AI Usage Guidelines” and activities under the use case creation program. Based on these initiatives, during the period of the 2028 Mid-Term Management Plan, we will work to achieve STEP 2, business improvement through integration into workflows, and prepare for STEP 3, business transformation through the use of internal data.

This diagram presents the future outlook for the use of generative AI in three steps, together with the actions to be taken. Step 1 is improving the efficiency of daily work through individual use of conversational generative AI. It is available to all employees for tasks such as drafting emails, summarizing, translating, and generating ideas. This is currently in the adoption and expansion phase. Step 2 is improving operations using AI agents. All departments will incorporate AI into specific workflows and review processes, with the goal of achieving this during the 2028 Mid-term Management Plan. Step 3 is transforming operations using a proprietary AI environment. The aim is to use internal data as indicators for management decision-making across the company, with preparations to be advanced during the period of the 2028 Mid-term Management Plan. At the bottom, action items corresponding to the steps include promoting the development of AI agents and considering the introduction of a proprietary AI environment.

Future Outlook for the Use of Generative AI