MOVO Fleet Launches 'Business Improvement Analytics' to Support Logistics Efficiency Law Compliance, Visualizing Dwell Time and Arrival Time Discrepancies with Unified Metrics
Hacobu Co., Ltd. has launched 'Business Improvement Analytics' for its MOVO Fleet service, aiding companies in complying with the 2026 Logistics Efficiency Law. This new feature centralizes and analyzes vehicle operational data, visualizing dwell times and arrival discrepancies with unified metrics to identify improvement areas. It supports rapid issue identification, efficient cause analysis, and legal compliance, enabling businesses to optimize their logistics strategies and operations.
📋 Article Processing Timeline
- 📰 Published: April 3, 2026 at 19:00
- 🔍 Collected: April 3, 2026 at 10:31
- 🤖 AI Analyzed: April 17, 2026 at 08:49 (334h 18m after Collected)
Hacobu Co., Ltd., which solves logistics challenges with the power of data, has launched "Business Improvement Analytics" as an optional feature of its fleet management service "MOVO Fleet" (pronounced MooVo Fleet), which allows real-time tracking of vehicle locations. This new feature enables advanced centralized management and analysis of operational data from numerous vehicles.
With this function, operational data, such as dwell time at delivery locations and actual vs. planned arrival times against delivery schedules, can be analyzed using unified metrics, visualizing issues and improvement points for each location and vehicle. It supports management departments in deriving insights for company-wide logistics strategies and making decisions on improvement measures.
Currently, this feature is available to companies that subscribe to the "Delivery Plan Option," a paid menu item of MOVO Fleet.

Background of Development
Amidst the worsening issues of labor shortages and long working hours in the logistics sector, the Logistics Efficiency Law, promulgated in May 2024, was fully enforced in April 2026. This law completely mandates the creation of medium- to long-term plans and reporting on the implementation status of logistics efficiency for specified businesses (shippers and logistics operators above a certain scale).
Furthermore, a policy to apply the Anti-Monopoly Act to long waiting times at receiving bases is currently under consideration. Consequently, more companies are introducing fleet management services to understand dwell times at each visited location during operations, not just at their own managed logistics bases.
Against this background, a function has been developed to comprehensively analyze data acquired by MOVO Fleet, addressing questions such as "What are the trends and issues regarding dwell time at each location?" and "To what extent are early or late arrivals occurring compared to delivery plans?"
Features
Rapid Issue Identification
By automatically aggregating and visualizing information collected by MOVO Fleet, issues such as long vehicle dwell times and large discrepancies between planned and actual delivery times can be quickly identified.

Efficient Cause Analysis and Solution Consideration
After identifying an issue, by operating according to a standard format, it is possible to analyze occurrence trends based on factors such as time of day, vehicle class, and delivery plan, and easily drill down to actual data. This enables rapid derivation of solutions such as "operations at morning bases should be improved" or "specific delivery plans (schedules) should be improved."

Legal Compliance Support
It is possible to aggregate location dwell times acquired by MOVO Fleet as "waiting time for cargo, etc.," in accordance with the periodic reporting format required for specified businesses.
The design allows for flexible adaptation to future rule changes, supporting the reporting personnel in their tasks.

Future Outlook
In the initial release, standard templates reflecting feedback from the beta version will be provided to support company-wide logistics improvement activities. Subsequently, the system will support flexible dashboard design changes according to industry, business type, and customer needs, as well as expansion of analysis screens with additional input data, to create an environment where deeper insights can be obtained. This will promote data utilization in logistics operations and support the establishment of a more efficient and sustainable logistics system.
About the Fleet Management Service "MOVO Fleet"
It is a logistics-specific fleet management service that can acquire and analyze vehicle location data. By attaching a dedicated terminal to a vehicle, real-time vehicle location can be visualized. Data such as driving routes, speed logs, estimated CO2 emissions, cargo arrival, and stops are accumulated from multiple perspectives. It can be used for delivery management, reducing the effort involved in inquiries from delivery destinations, and understanding and improving long working hours for entrusted drivers. Additionally, it visualizes actual delivery conditions from acquired driving and delivery performance data, contributing to the solution of transportation issues. It can also be utilized as a BCP (Business Continuity Plan) measure during emergencies and disasters. https://hacobu.jp/movo-fleet/
About Hacobu Co., Ltd.
Hacobu Co., Ltd. develops the cloud logistics management solution "MOVO" series, logistics DX consulting "Hacobu Strategy," and system integration/AI implementation support "Hacobu Solution Studio." In addition to providing cloud services such as the truck reservation reception service "MOVO Berth," which has been No. 1 in market share for six consecutive years (※1), the fleet management service "MOVO Fleet," the dispatch order/management service "MOVO Vista," and the AI ordering/transportation optimization service "MOVO PSI," as well as the smartphone app "MOVO Driver" that changes how drivers work, it also supports the optimization of inter-company logistics as a logistics DX partner. https://hacobu.jp/
※1 Source: Deloitte Touche Tohmatsu Mic Economic Research Institute "Actualities and Prospects of the Smart Logistics Solution Market [2025 Edition]" https://mic-r.co.jp/mr/03650/ Market share based on the number of bases per vendor in the berth management system market. Share calculated assuming the total number of bases of the six major domestic systems participating in this survey accounts for 100% of the share.