#Japan #Tokyo #Warehouse Management #KURANDO #logistics data

Introduction

In recent years, the logistics industry has faced significant challenges, notably exemplified by the so-called "2024 Problem," which highlights severe labor shortages and operational inefficiencies. In response to these issues, many companies have embarked on a transformative journey aiming to improve logistics efficiency through Digital Transformation (DX). A recent study conducted by KURANDO, headquartered in Shinagawa, Tokyo, sheds light on the current state of data utilization in logistics warehouses, revealing valuable insights that could shape the future of the industry.

Background

KURANDO, under the leadership of CEO Kazuhiro Okazawa, surveyed logistics and warehouse managers across various organizations to assess how data is being harnessed for operational improvements. The study aims to investigate whether the investment in tools like handheld terminals and Warehouse Management Systems (WMS) has resulted in effective data analysis and actionable improvements in operations. Notably, the incorporation of IoT devices and analytical tools is enhancing the capability of logistics organizations to collect and visualize warehouse data at an unprecedented scale.

Survey Overview

The research was conducted from November 5 to November 11, 2025, utilizing an online survey format. A total of 162 logistics managers, aged between 20 and 50 years, participated in the study.

Key Findings

• - Approximately 65% of logistics and warehouse managers reported that their organizations utilize data collection within warehouses.
• - The primary types of data collected in these environments include inventory data (74.3%) and inbound/outbound shipping performance data (61.0%).
• - Notably, about 25% of the companies surveyed that collect warehouse data do not utilize it effectively.
• - Among those effectively using the data, top business improvement areas include:

1. Analysis and prevention of errors and accidents related to shipments (61.3%)
2. Optimization of inventory placement (56.3%)
3. Improvement of delivery routes and load optimization (50.0%)

• - Companies that successfully leverage this data have noted tangible benefits, including a reduction in operational errors (70.0%) and improved productivity (66.3%).
• - However, many organizations still struggle with obstacles related to data utilization, such as lack of time for analysis, inadequate personnel skilled in data management, and insufficient systems or tools to effectively implement improvements.

Challenges Faced

The lack of effective data utilization in about 25% of companies raises concerns. Managers cited primary challenges as:

• - Time constraints for conducting data analysis (48.0%)
• - Lack of skilled personnel capable of data analysis and usage tools (36.0%)
• - Absence of systems to apply data insights in operational improvements (36.0%)

These challenges indicate a need for enhanced infrastructure and training within the logistics sector to fully leverage the potential of data-driven decision-making.

Conclusion

The findings from the KURANDO study illuminate a dual landscape in logistics data utilization. While a significant proportion of companies collect valuable warehouse data, a substantial number still don’t capitalize on it. The insights gained suggest that the logistics sector must focus on not just data collection but also on capability-building to analyze and implement data-driven improvements. KURANDO offers solutions aimed at enhancing productivity and efficiency in logistics operations. Their tools, such as Logimeter, Logiscope, and Logiboard, are designed to facilitate the effective use of data, ensuring businesses can manage operational metrics effectively and foster a culture of continuous improvement.

Through this commitment to harnessing data effectively, companies can achieve not just clearer insight into their operations but also tangible improvements in efficiency and productivity. As the logistics landscape continues to evolve, embracing data utilization could very well become the cornerstone of successful and competitive operations in the years to come.