Pioneering a Common Platform for the Future of Logistics
GROUND Inc., a Tokyo-based LogiTech innovator (CEO: Hiratomo Miyata), is pleased to announce that its proprietary warehouse execution system, GWES (GROUND Warehouse Execution System), has surpassed 100 deployment sites across Japan.
This achievement is far more than a numerical milestone—it marks a significant step toward establishing a next-generation common platform for the entire logistics industry. Drawing on insights from these 100 diverse operational sites, GROUND is accelerating its vision of transforming logistics into an autonomously managed, software-driven operation built on a unified operating system.
■ Shifting the Economic Structure: The Power of an OS in Logistics
The global economy is experiencing a fundamental shift in which value is migrating from hardware to platform-based operating systems (OS). An OS enables diverse applications to operate under a unified framework and continuously evolves through the cloud, generating new value over time.
In contrast, the Japanese logistics industry has long relied on individual expertise, with operations siloed across individual sites. To meet the challenge of acute labor shortages, the industry now requires a new paradigm: an OS capable of dynamically orchestrating entire logistics facilities, transcending the limits of piecemeal optimization.
■ Milestone of 100 Sites: Driving DX for Major Enterprises
GWES has been adopted by major logistics providers and manufacturers, including Mitsubishi Logistics, Nippon Express, CX-CARGO, and Kao Corporation, and is currently operational at over 100 locations.
By providing sophisticated analytics for workload forecasting, real-time resource allocation, and inventory optimization, GWES empowers managers with the intelligence needed for high-stakes operational decisions. GROUND envisions GWES as a core application within a next-generation common platform, delivering tangible value directly to customers.
■ Realizing Automated Judgment: Impact of the Resource Allocator (RA) Module
As a precursor to autonomous facility management, GROUND has developed the Resource Allocator (RA) module. RA leverages mathematical optimization and time-series forecasting to automate real-time resource allocation—a function that has traditionally relied on the tacit knowledge of experienced on-site managers.
In proof-of-concept trials, RA achieved a 15% improvement in task completion rates without increasing personnel. This illustrates how ongoing software enhancements can elevate logistics facilities into appreciating assets—infrastructure that grows more capable and valuable with each iteration.
■ Future Outlook: Building a Sustainable Logistics Network
Looking ahead, GROUND intends to scale beyond facility-level optimization toward network-wide supply-and-demand coordination. By cultivating an open, interoperable ecosystem in which robots from diverse manufacturers and third-party applications collaborate via standard APIs, GROUND will dismantle vendor lock-in and enable genuine site-level autonomy.
Under the vision of "Logistics for Eternity," GROUND remains committed to driving the structural reinvention of global logistics—building a resilient, sustainable future for the industry.
■ About GWES (GROUND Warehouse Execution System)
GWES is a proprietary system developed by GROUND to visualize and optimize a full spectrum of on-site operational data—including task progress, workload, resource utilization, inventory, and goods movement. Built on a shared data infrastructure that functions as middleware, GWES incorporates multiple AI-powered functional modules. It is trusted by industry leaders such as Mitsubishi Logistics, Nippon Express, CX-CARGO, and Kao.
GWES Details: https://en.groundinc.co.jp/services/gwes/
■ About GROUND Inc.
GROUND delivers cutting-edge solutions for the logistics and distribution sector (LogiTech), powered by the world’s most advanced technologies. The company is dedicated to realizing Intelligent Logistics®—its founding vision for a logistics ecosystem transformed by AI, robotics, and next-generation digital innovation.
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