Improving Operational Efficiency & Accuracy with Warehouse Management Solutions
Case Study — NX NP Logistics Co., Ltd., Maihama Warehouse
Site Productivity1.2X Improvement*Projected benefits as of July 2025.
Inbound Processing Time30 % Reduction*Projected benefits as of July 2025.
The Customer’s Challenge
The Maihama Warehouse faced challenges in dealing with chronic labor shortages and increasingly complex logistics operations. Inefficient tasks, such as paper-based and verbal instructions and personnel-dependent management, were common, leading to an increasing workload for both frontline staff and managers.
Our Approach and Solution
Implementing Blue Yonder Warehouse Management Solution
Digitalization with a Globally Proven System
By incorporating best practices, the new workflow eliminates dependency on specific individuals. Utilizing license plate numbers (LPNs) improves the accuracy of inspection tasks and inventory management. The system also reduces the workload for managers by assigning tasks to the most suitable workers based on priority, skills, and location.
Implementation Expertise Tailored for Japan
Leveraging Panasonic Connect’s deep knowledge of Japanese logistics operations and business customs, the solution comes standard with Japan-specific functions (such as generating package information for packing) in addition to its standard features. Through this, we design and execute the optimal workflow.
Benefits* and Business Impact
Creating a Skill-Free Work Environment
We anticipate an approx. 30% reduction in inbound processing time and an approx. 1.2x improvement in overall site productivity (effectiveness calculated as of July 2025; system implemented in October 2025).
*The stated benefits are based on customer estimates. Actual results may vary depending on conditions and environment
Contributions to Sustainability**
Reduction of CO₂ Emissions & Efficient Use of Resources
By moving inventory and inspecting products by package type (such as pallets and carts) rather than by box or loose item, work quality is improved and shipping errors are reduced, contributing to a reduction in CO₂ emissions generated by transportation operations such as returns and re-delivery. Additionally, this approach minimizes waste from repackaging materials and reduces disposal losses, further contributing to a decrease in environmental impact.
Building a Foundation for Sustainable Working Styles
Eliminating dependency on specific individuals through operational efficiency and automation reduces employee workload, enabling shorter overtime hours and appropriate staffing.
**The contributions described are based on a specific case study. Results may vary depending on conditions and environment, and similar outcomes are not guaranteed in all implementations.