AI and Data Initiatives
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- AI and Data Initiatives
Structured line-item transaction data accumulates on our platform. By leveraging this data with AI technologies, Infomart drives the creation of new value—from supporting sophisticated management to enhancing frontline operational efficiency. We introduce our key initiatives to pave the way for the future of business: our next-generation AI agent "IMAgent" concept, robust alliance strategies, and data utilization that supports future market forecasting.
Initiatives to Maximize the Value of Transaction Data
Beyond Efficiency: Turning Accumulated Data into Strategic Management Assets
Our goal extends beyond the digitization of administrative work. The vast transaction data built up on our platform over many years is transforming into a powerful asset to support future market forecasting. Elevating data from simple records to value-generating assets, we are taking its utilization to a new level.
Compliant Data Management
Transaction data on our platform is a vital asset built on mutual trust. We provide a secure environment where clients can safely leverage their own accumulated data to power AI agents and drive business and management operations. Furthermore, through appropriate operations in strict compliance with laws and regulations, we contribute to the growth of all businesses, including those of our clients.
Leveraging Data for Advanced Decision-Making and Operational Transformation
Our platform hosts reliable, shared line-item transaction data, enabling direct "Data-to-Data" (DtoD) transactions mutually approved across a network of over one million domestic companies. Backed by over 25 years of consistent data integrity, this asset empowers definitive management decisions and drives fundamental frontline operational transformation.
Robust Alliance Strategies to Accelerate Our Competitive Edge
Leveraging this data advantage, we are driving robust alliance strategies. This includes joint research on AI technology with Daiichi Life Group. Furthermore, by welcoming invox Inc.—a developer of AI technology—as an equity-method affiliate, we are developing a "New Comprehensive Invoice Service" that integrates their AI-OCR and automated journal entry assistance.
Maximizing BtoB Platform Data to Transform Management and Frontline Operations
Next-Generation AI Agent Concept (IMAgent)
Transforming Data from Transaction Records into Assets that Drive Management and Operations
Transforming Data from Transaction Records into Assets that Drive Management and Operations
B2B transaction data is accumulated on our platform over many years.The next-generation AI agent concept, "IMAgent," leverages AI to turn this data into a strategic compass for management. This initiative focuses on two core pillars: "Data Intelligence (Analytics)" and "Advanced Platform AI."
1.Data Intelligence
Through conversational AI, we provide a management support environment where clients can intuitively analyze and utilize their transaction data. Looking ahead, this initiative aims to seamlessly integrate platform data into a comprehensive analytics infrastructure, providing a complete business overview.
2.Advanced Platform AI
We reduce manual effort and verification uncertainties in daily operations. Going beyond simple automation, AI organizes and presents key criteria in B2B transactions where accuracy and accountability are required, allowing personnel to make final decisions more smoothly and with greater confidence. Through this support, we will further reduce administrative tasks and build a foundation that allows employees to focus on higher-value work, such as strategic planning, creative execution, and critical approval workflows.
Creating Value for Society through Commercial Transaction Data
By properly processing and aggregating commercial transaction data to ensure individual companies, transactions, and personal identities remain unidentifiable, we aim to generate new value by integrating statistical market insights with advanced external analytics. Adhering to ethical standards, we will continue providing value to our clients and society while safeguarding data security.
Providing Market Insights as a "Compass" for Economic Activity
Accumulated commercial transaction data reflects food distribution trends and the Japanese economy in real time. We are advancing an initiative to visualize commercial trends by processing and aggregating data to ensure individual companies and specific transactions remain unidentifiable. In a rapidly changing market environment, we aim to provide a "compass" to guide our clients' business direction by visualizing industry-wide trends and economic conditions.
Creating Value through Cross-Industry Co-Creation
By combining overall market trends with advanced external analytics, we generate unprecedented, multifaceted insights and explore new business opportunities. Together with our clients, we will pioneer the next stage of data-driven management.
Technology Investments Supporting Trust and Sustainability
Robust security and ongoing investments in technology are essential to transform data into a valuable asset and deliver it reliably. Adhering to ethical standards, we strictly protect our data while continuously enhancing the infrastructure required to provide advanced analytics to our clients.
Industry-Academia Collaboration and Initiatives with Startups
We go beyond standard feature development to build a next-generation infrastructure that extracts value from commercial transaction data. To achieve this, we actively promote joint research with leading domestic institutions and engage in investments and collaborations with cutting-edge startups.
We are conducting joint research with
the Hayashi Laboratory
at Hitotsubashi University's Graduate School of Social Data Science on advanced technologies for
integrating vast amounts of heterogeneous data and generating synthetic data that accurately reproduces commercial
transaction data characteristics. Through our investment in Lazuli Inc., which possesses AI-powered product master
data technology, we pursue automated product data cleansing—a process that previously relied on manual effort—thereby
advancing information flow throughout the entire supply chain.
We are also engaged in multifaceted, practical research directly linked to operational challenges—such as optimal inventory management for restaurants, business classification algorithms, and in-house AI-OCR development—in collaboration with other domestic university laboratories. Furthermore, we maintain an ongoing dialogue with experts on the ethical use of AI.
*Regarding our use of AI and data, as well as collaboration with external organizations, including for joint research, we utilize data that has been appropriately processed and aggregated in accordance with our Terms of Use, Privacy Policy, Information Security Policy, and other internal rules.