#Japan #Tokyo #AI Optimization #Major Service #ATMTC System

Revolutionizing Delivery Logistics with AI: A Case Study from Major Service Japan

In the ever-evolving logistics sector, companies are consistently seeking innovative solutions to enhance efficiency and accuracy. One notable example is Major Service Japan, a company specializing in the delivery of daily essentials to drugstores in Tokyo and its three neighboring prefectures. With 150 vehicles and 200 drivers across six locations, the firm faced multiple challenges before implementing an advanced AI-driven dispatch and operation management system known as ATMTC (Automatic).

Initial Challenges

Before adopting ATMTC, Major Service Japan relied on manual processes and Excel spreadsheets for their dispatch planning, consuming an average of four hours daily to coordinate vehicles and deliveries. This approach not only consumed valuable time but also subjected the systems to human error due to a reliance on individual experience and instinct, which created a bottleneck in dispatch tasks. Compounding these issues, similar store names often led to mistakes, especially with less experienced drivers, causing misdeliveries. The preparation for deliveries was laborious, with route planning often performed using paper maps.

Recognizing the need for improvement, Major Service Japan decided to implement ATMTC to enhance efficiency, reduce the time required for dispatch, and mitigate the dependence on specific personnel.

Effects Post Implementation

After the introduction of ATMTC, the impact was transformative. The dispatch operation that previously needed an average of four hours is now accomplished in approximately one hour, effectively saving three hours of operational time per day. Leveraging AI technologies, the system autonomously generates dispatch plans considering vehicle count, cargo capacity, and delivery conditions. This has democratized the dispatch process, enabling any staff member to engage in the task, thus eliminating the over-reliance on specific individuals.

Moreover, embedded GPS-focused features to prevent misdeliveries have proven effective. The system alerts users if a delivery truck deviates from its set destination, resulting in zero instances of incorrect deliveries after integration.

Impact on New Driver Training

The advantages of ATMTC extend beyond efficiency, facilitating the training of new drivers. The platform includes features for sharing manuals and protocols, significantly shortening the training period for new hires from about one month to just two weeks. As everything from delivery routes to procedural checks can be verified and updated within the system, new drivers can confidently embark on their tasks. This change has also led to a decrease in inquiries from delivery points to the office, alleviating the administrative burden on management.

Insights from Major Service Japan

According to Mr. Orimo, the Deputy Manager at the Shin-Yokohama office of Major Service Japan, the transition from manual dispatch planning to using ATMTC has greatly relieved the tension of logistics management. Previously, dispatchers were tasked with calculating cargo load manually based on incoming delivery data, a process fraught with potential for error that could disrupt the entire delivery schedule. With ATMTC, the automation of these calculations means staff can focus on more strategic aspects of logistics management. Additionally, the ability to monitor truck locations and statuses in real-time improves responsiveness to client inquiries, enhancing overall satisfaction and perceptions of the company’s reliability.

What is ATMTC?

ATMTC (Automatic) is a cloud-based service designed to optimize logistics management through AI and integrated logistics data. It streamlines the operations of multiple locations and vehicles while supporting logistics digital transformation and business visibility.

Key Features of ATMTC:

• - AI Automated Dispatch: Ensures efficient vehicle distribution based on real-time data.
• - Real-Time Operations Management: Allows monitoring of delivery status and fleet location.
• - Driver Application: Improves communication and offers features to prevent delivery mistakes.
• - Reporting Capabilities: Generates necessary documentation effortlessly.
• - Integration with Digital Tachographs: Enhances overall operational management.

For more information on ATMTC, visit ATMTC Service Site.

About DX Research Institute

Based in Chiyoda, Tokyo, DX Research Institute delivers AI dispatch and operations management systems, supports digital transformation initiatives, and develops sophisticated software tailored for logistics. Learn more at DX Research Institute Website.

About Daisei Group

Founded in 1969, the Daisei Group offers a wide range of services, including freight transportation, warehousing, auto repair, and recycling, boasting over 215 locations worldwide with 44 companies under its umbrella.
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