security

Arealink Co., Ltd. (hereinafter referred to as “the Company”) will implement company-wide information security measures based on the following policy in order to protect all information assets from threats such as accidents, disasters, and crime, thereby fulfilling the trust placed in us by our customers and society.

The Company will endeavor to improve and enhance information security in an organized and continuous manner under management leadership.

The Company will establish an organization to maintain and improve information security and will define information security measures as formal internal rules.

The Company’s employees will acquire the knowledge and skills necessary for information security so that we can ensure our commitment to information security.

The Company will comply with all laws, regulations, standards, and contractual obligations related to information security, and will meet customer expectations concerning information security.

In the event of any violation of laws or regulations, breach of contract, or incident related to information security, the Company will take the appropriate measures and endeavor to prevent recurrence.

Date of Establishment：September 1, 2022
Arealink Co., Ltd
Yoshika Suzuki, Representative Director and President (CEO)

The Company regards the diverse data generated and collected through our corporate activities as one of our most critical management resources, placing its strategic utilization at the heart of our DX promotion efforts. By leveraging data and AI technologies to accelerate the transformation of business models and organizational culture, we aim to achieve sustained enhancement of corporate value and make a contribution to society. This policy sets out specific measures and targets for realizing these objectives.

• 2020–: Start of DX promotion activities
  • Based on the idea that storage and digital solutions are key elements of a smart lifestyle, we launched our DX-ready framework to enrich Japanese people’s lives through storage.
  • Launched an employee-focused initiative to “empower every employee to leverage digital technology to enhance our services.”
  • Launched as a social commitment: “Enriching society through Arealink’s services and digital technology”
• – 2023: First steps toward a DX-ready platform and a data-centric organization
  • Developed internal systems for DX certification and fostered awareness of the importance of data-driven decision-making.
  • Initiated development of a company-wide data collection, storage, and management platform as a foundation for strategic data utilization.
• 2024: Full- scale deployment of data utilization and the dawn of AI adoption
  • Integrated and analyzed core data and market data accumulated over many years to develop and implement a “data-driven automated pricing system” for the self-storage business. This facilitates objective and rapid price assessments, helping to maximize revenue opportunities.
  • Initial stage of data quality management system development, and start of proof-of-concept (PoC) for AI implementation in select operations.

In 2025, we aim to further evolve the data platform we have developed thus far, enhance cross-company data integration and analysis, and fully introduce and utilize AI technology to drive business innovation and make dramatic improvements to operational efficiency.

• Evolution of the strategic data platform and reinforcing the AI foundation
  • Strategic digitization of expertise and knowledge, and generation of high-quality AI training data: We convert tacit knowledge and expertise dispersed throughout the company into explicit knowledge and data, structuring it into a format that AI can effectively learn from and utilize. By continuously supplying this as high-quality training data to AI models, we are expanding the accuracy and scope of AI applications.
  • Company-wide adoption of advanced AI technologies (Gemini for Enterprise, etc.) and creation of synergistic effects through data integration: We are rolling out advanced AI technologies, including generative AI, across the entire company. By building stronger linkages with various operational systems and accumulated data, we are enhancing the quality of AI-driven insights and raising the level of business automation.
  • Enhancement of company-wide data platform: We are promoting the use of data in real time by developing and enhancing a data platform that enables integrated data collection, storage, analysis, and visualization at the company-wide level.
• Cultivating an organizational culture that is comfortable with data and AI
  • Implementation of the AI Idea Contest (tentative name) and data-assisted effectiveness verification: We encourage and discover new AI utilization ideas from each and every one of our employees. Proposed ideas are verified for effectiveness using data, and stand-out initiatives are shared and rolled out company-wide to stimulate innovation.
  • Systematic implementation of training and seminars to boost company-wide data literacy and AI skills: We systematically implement data analysis methods and AI training programs according to job role and type, leading to improvements in all employees’ “ability to interpret and utilize data”* and AI literacy, while also speeding up the training of specialist human resources.

By 2026, we will build an environment where all business decisions are data-driven and AI can operate at its full potential. This will serve to strengthen our business competitiveness, deliver exceptional customer experiences, and create a highly productive and creative organization where people thrive.

• (1) Deepening data-driven business strategy and creating new value
  • Advanced new self-storage unit expansion strategy (ongoing): By exhaustively analyzing diverse internal and external data—including customer behavior data, trade area data, competitor data, and macroeconomic indicators—and performing high-precision demand forecasts and simulations using AI, we will achieve optimal store location decisions and maximize investment efficiency.
  • Maximizing real estate value and optimizing the supply chain through the use of data (ongoing): This involves centrally aggregating and analyzing investor information, landowner information, past transaction examples, property feature data, and other data. We will build a high-precision property valuation model that utilizes AI to strengthen and optimize our purchasing strengths. In addition, by collecting and analyzing process management data related to new self-storage unit openings in real time, we will identify bottlenecks and continuously improve processes, thereby shortening lead times and enhancing cost efficiency.
  • Exploring new data-driven services: We will unlock the potential to create new value-added services for customers and markets by leveraging accumulated and analyzed data.
• (2)Radical transformation of business processes through the synergistic effects of AI and data
  • Automation and advancement of core business areas through AI agents (target: 50% of relevant tasks ): We will establish a continuous data collection and AI model retraining cycle to maintain and improve AI decision accuracy and automation levels.
    • (i) Innovating internal administrative processes: AI learns contract data and historical case data to automate document creation assistance and risk checks. It also analyzes inquiry history data to optimize FAQs and promote automated responses.
    • (ii) Improving call center quality and delivering personalized customer service: AI analyzes customer data and interaction history in real time, providing operators with the most appropriate information and response scripts. Utilizing sentiment analysis results leads to greater customer satisfaction and loyalty.
    • (iii) Automation of data analysis tasks and strategic decision-making support: AI automatically collects and analyzes a wide spectrum of operational data, providing executives and department heads with insightful reporting, anomaly detection, and future forecasting. This strongly supports swift and precise strategic decision-making based on data.
• (3) Company-wide DX human resource training and establishing a data-driven organizational culture
  • Over 90% of all employees will evolve into “AI and data-native talent” who proactively utilize AI and data in their work: By positioning data literacy (the ability to collect, analyze, interpret, and ethically utilize data) and AI application skills as essential competencies, we will cultivate a data-driven organizational culture where all employees are able to make decisions and take action based on data.
  • Creative and efficient work practices through collaboration with AI: We see AI not merely as a tool, but as a collaborative partner. We aim to instill throughout the company a collaborative work style that leverages the strengths of both humans and AI alike, thereby boosting employee engagement and productivity.

The Company prioritizes data quality management, security assurance, personal information protection, and privacy considerations above all else when promoting the use of data. We will build and maintain a reliable and ethical data utilization framework by not only complying with relevant laws and regulations, but also by establishing internal policies, rigorously training employees, and taking technical safety measures.

To achieve this policy, we will build and reinforce a company-wide cross-functional promotion system focusing on specialist departments and backed up by strong commitment from management. We will also regularly evaluate its progress and measure its effectiveness to verify the validity of our strategy, making flexible adjustments as necessary to continuously develop our DX initiatives.