GROUND Unveils "Resource Allocator" for Real-Time Workforce Optimization in Logistics Warehouses

Combining mathematical optimization and time-series analysis to automate personnel planning and execution in logistics operations
 
CHIYODA-KU, Japan - June 3, 2025 - PRLog -- Tokyo, Japan – GROUND Inc., a logistics technology company based in Tokyo, today announced the release of its latest AI-powered module "Resource Allocator," integrated into its GWES (GROUND Warehouse Execution System) platform.

This module leverages mathematical optimization and time-series analysis to simulate tens of thousands of personnel allocation scenarios in real time. By analyzing factors such as task progress, operational priority, individual skillsets, shift schedules, and personal preferences, the module dynamically recommends the optimal workforce deployment at the individual level.

The solution eliminates reliance on human intuition, ensuring stable operations through data-driven decision-making. It seamlessly integrates forecasting with real-time execution, enabling logistics sites to adapt to fluctuating demand and labor shortages with speed and accuracy.

GWES, including this new Resource Allocator module, has already been adopted by leading logistics companies such as CX Cargo and Nippon Express, and continues to support the evolution of logistics operations through intelligent software automation.

For more information, visit: https://www.groundinc.co.jp/
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Tags:Warehouse Optimization
Industry:Technology
Location:Chiyoda-ku - Tokyo - Japan
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