List of Mitsubishi ML Chain Platform Customers
Tokyo, 103-8630,
Japan
Since 2010, our global team of researchers has been studying Mitsubishi ML Chain Platform customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Mitsubishi ML Chain Platform for Blockchain Platform from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Mitsubishi ML Chain Platform for Blockchain Platform include: Takeda, a Japan based Life Sciences organisation with 50000 employees and revenues of $30.60 billion, Jr Freight Japan, a Japan based Transportation organisation with 5589 employees and revenues of $1.24 billion, Dp Network Japan, a Japan based Transportation organisation with 24 employees and revenues of $3.0 million and many others.
Contact us if you need a completed and verified list of companies using Mitsubishi ML Chain Platform, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Mitsubishi ML Chain Platform customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Dp Network Japan | Transportation | 24 | $3M | Japan | Mitsubishi Logistics | Mitsubishi ML Chain Platform | Blockchain Platform | 2022 | n/a |
In 2022, DP Network Japan implemented the Mitsubishi ML Chain Platform. The deployment uses the Blockchain Platform to visualize and analyze transport temperature and location data for pharmaceutical deliveries in Japan, supporting GDP compliance and operational monitoring.
The Mitsubishi ML Chain Platform is configured for real time monitoring, telemetry ingestion, analytics dashboards, and visualization of temperature and geolocation streams, enabling operations teams to observe shipment state and chain of custody. The implementation includes data analysis capabilities and explicitly plans to leverage AI for expanded analytics and pattern detection.
Operational scope focuses on pharmaceutical transport operations within the Mitsubishi Logistics group across Japan, with the platform used by operations and quality teams to strengthen transport quality and GDP compliant procedures. Governance and access were oriented around real time dashboards and analytic exports, providing a single source for transport condition records and regulatory oversight workflows.
DP Network Japan reports outcomes that include strengthened transport quality and improved ability to meet GDP requirements through continuous visualization and monitoring of temperature and location data using the Mitsubishi ML Chain Platform. The company also intends to broaden analytic use cases through the platform as AI capabilities are introduced.
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Jr Freight Japan | Transportation | 5589 | $1.2B | Japan | Mitsubishi Logistics | Mitsubishi ML Chain Platform | Blockchain Platform | 2023 | n/a |
In 2023, Jr Freight Japan deployed Mitsubishi ML Chain Platform, a Blockchain Platform, to visualize temperature and location data for rail freight containers carrying pharmaceuticals. The work was executed as part of a Japan initiative with Takeda and Mitsubishi Logistics and concentrated on enabling end to end quality control for pharmaceutical shipments.
Mitsubishi ML Chain Platform was configured to ingest container temperature sensor telemetry and location feeds, and to record immutable event logs for temperature excursions and custody events. Implemented functional capabilities included data visualization, time series recording, and traceability workflows aligned to GDP-compliant temperature control.
Integrations connected container sensor telemetry and location tracking systems into the Mitsubishi ML Chain Platform, creating synchronized visibility across rail freight operations and quality assurance processes. The deployment focused operationally on rail transport logistics and quality management functions within Jr Freight Japan, supporting a modal shift from road to rail while preserving regulatory temperature controls.
The initiative supported a modal shift expected to reduce CO2 emissions by about 60 percent while maintaining GDP-compliant temperature control, aligning logistics operations with environmental and pharmaceutical quality governance goals. Governance changes centered on instrumenting chain of custody recording and coordinating quality assurance checkpoints across carrier and shipper stakeholders.
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Takeda | Life Sciences | 50000 | $30.6B | Japan | Mitsubishi Logistics | Mitsubishi ML Chain Platform | Blockchain Platform | 2022 | n/a |
In 2022 Takeda deployed the Mitsubishi ML Chain Platform as a Blockchain Platform to visualize temperature and location data across its pharmaceutical distribution in Japan. The deployment focused on end to end visibility for cold chain shipments, instrumenting telemetry and geolocation records to create a tamper resistant system of record for transport conditions and location history.
Mitsubishi ML Chain Platform implementation included telemetry visualization and location tracking capabilities that aggregate IoT temperature feeds and GPS checkpoints into a blockchain ledger. Smart contract functionality was later added to the Mitsubishi ML Chain Platform to automatically verify subcontractor permits and to record audit events, creating automated verification workflows and immutable audit trails for subcontractor compliance activities.
Operational coverage was explicitly the pharmaceutical distribution network in Japan, and the affected business functions included supply chain quality control, traceability, and regulatory compliance workflows tied to Good Distribution Practice. Governance changes centered on using on chain audit records and smart contract checks to shift permit verification from manual document review to an automated verification and audit process, improving traceability and helping ensure GDP compliance.
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Buyer Intent: Companies Evaluating Mitsubishi ML Chain Platform
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