EOLE Co., Ltd. (Headquarters: Minato-ku, Tokyo; President & CEO: Yugo Takino) will launch "AdOLE.ai" in April 2026, a new plan equipped with AI functions for its job site operation proxy services, including Indeed. This plan utilizes two data assets: the accumulated delivery performance data from EOLE's role as an operation agency and the job database of its proprietary ATS "jobole," totaling over 3,000 companies and approximately 2.85 million records. By analyzing and leveraging these assets, the AI provides a high level of quality in manuscript appeal, policy accuracy, and listing quality, which was previously difficult to achieve with traditional operation proxy services. The background for this service launch is the establishment of job sites like Indeed, Job Box, and Stanby as major channels for recruitment activities, leading to expanding demand in the operation proxy market. However, improving operational quality requires deep analysis of large volumes of delivery data, strategy formulation based on competitive trends, and continuous improvement of manuscript expressions that resonate with job seekers. Relying solely on human knowledge and experience has limitations in achieving these with high accuracy. By utilizing AI trained on large amounts of data, there is potential to further enhance human operational knowledge and continuously achieve operational quality levels that were previously difficult. EOLE possesses two data assets: delivery performance data from job search engines accumulated as an operation agency, and the job database of its proprietary ATS "jobole." The former is a rich source of operational know-how on "how to achieve results," while the latter is a comprehensive database reflecting the actual job market across various occupations, industries, and employment types. By combining and utilizing these two assets with AI, EOLE has been developing a new service that supports operators' knowledge with data and realizes highly accurate recruitment operations. "AdOLE.ai" is a group of AI-powered support functions that, when combined with existing job search engine operation proxy plans, multiply AI's analytical capabilities with operators' expertise to achieve even higher operational quality. It consists of the following three functions: (1) Recruit Creative: Creative optimization. AI comprehensively analyzes delivery performance data and the jobole job database to analyze trends in "manuscripts that lead to applications" for each occupation and industry. It provides highly appealing manuscript proposals and improvement suggestions. It also checks for compliance with media review policies, and the proposal accuracy improves with repeated deliveries. This continuously enhances creative quality, backed by two data assets in addition to human intuition and experience. Achieved results include a 2.8x CVR increase in the childcare industry (5.0x for full-time employees only) and a 33% improvement in application cost per acquisition in the service industry. (2) Analyst: Performance-based analysis and strategy proposals. AI multi-dimensionally analyzes media reports based on EOLE's operational performance data, cross-referencing competitive trends and internal performance to precisely identify factors influencing performance fluctuations. Through a flow of "data aggregation → AI analysis → cause identification → prioritized improvement proposals," it creates an environment where operators can make highly confident decisions for their next steps. By combining AI's analytical accuracy with operators' operational knowledge, it realizes a continuous cycle of discovering and executing improvement opportunities that are difficult to see through experience alone. (3) Smart Keeper: Maintaining and optimizing listing quality. AI monitors quality degradation that may occur during job listings, such as review rejections, listing troubles, or sudden performance changes, 24 hours a day, ensuring operators can respond without oversight. AI precisely checks daily delivery performance and proposes efficient budget utilization based on performance. Achieved results include approximately 70% reduction in opportunity loss and up to 1.5x increase in applications with the same budget, by maintaining stable listing quality and minimizing opportunity loss. *1 These are results from EOLE's managed projects (November 2025 - February 2026). Effects may vary depending on period, conditions, and listing content, and specific job sites do not guarantee results. Future Outlook: Through the provision of "AdOLE.ai," EOLE aims to establish a service model that continuously raises the quality standards of job search engine operation proxy services by combining AI technology with its two data assets: operational performance data and the jobole job database. Going forward, EOLE will promote further advancement of AI functions (e.g., refinement of performance prediction models, multi-channel support) and expand its customer base, working to build a platform that enables high-quality recruitment operations regardless of company size. EOLE Co., Ltd. Company Information: Headquarters: 4F Nishi-Shinbashi Kowa Bldg., 1-6-11 Nishi-Shinbashi, Minato-ku, Tokyo 105-0003. Representative Director, President & CEO: Yugo Takino. Established: April 25, 2001. Capital: 2,212,820,000 JPY (as of December 31, 2025). Number of Employees: 99 (as of December 31, 2025). Listed Market: Tokyo Stock Exchange Growth Market (Securities Code: 2334). Business Activities: Development and provision of ad technology product "pinpoint," Development and provision of operational recruitment advertising platform "HR Ads Platform," Internet advertising business, Sales promotion business, Operation of travel media "Kyujitsu Inubu" and "Kyujitsu Glampingbu," AI data center business, Cryptocurrency business.

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  • Source: PR TIMES
  • Category: New Product/サービス発表, 技術導入, 事業戦略