#Japan #Tokyo #Tsunagari AI #Kokonet #Coco-chan

Addressing Driver Isolation with AI

In a groundbreaking initiative, Tsunagari AI, a startup based in Shinjuku, Tokyo, and Kokonet, located in Chuo, Tokyo, have unveiled an experiment aimed at combating the loneliness faced by delivery drivers. Beginning on May 9, 2025, the two companies will collaborate on a project that introduces a conversational AI—dubbed the "Colleague AI"—to serve as a virtual companion for drivers during their shifts. This system is designed not only to improve driver engagement and retention but to provide valuable insights to enhance management practices based on the voices of those on the ground.

Overview of the Experiment

The trial will run for approximately three months, starting in May 2025. Tsunagari AI is responsible for the development and provision of the Colleague AI system, while Kokonet will implement and evaluate it within its last-mile delivery operations. Together, they aim to foster a better working environment for drivers and address challenges facing the logistics industry.

Background: Loneliness and Labor Shortages in Logistics

The logistics and delivery sectors are currently grappling with a severe shortage of drivers and high turnover rates. According to forecasts from public organizations, by 2028, there could be a shortfall of approximately 278,000 drivers. A Ministry of Health, Labour and Welfare survey shows that within three years, 32.8% of high school graduates and 25.0% of university graduates in driver positions leave the industry—a figure surpassing the average turnover rate across all sectors.

Additionally, many drivers experience significant stress due to prolonged periods spent working alone, making loneliness a key contributor to dissatisfaction. To tackle these issues, innovative approaches that support driver mental health and foster workplace attachment are urgently needed.

Introducing the Colleague AI—Inspired by Kokonet’s Character Coco-chan

The Colleague AI uses Kokonet's in-house character, Coco-chan, as its interface for engaging with drivers. Accessible via the LINE messaging app on their smartphones, drivers can interact with the AI in a way that feels like conversing with a friendly coworker. This AI employs advanced language model technology to comprehend driver messages and return responses that feel natural.

Main Features of the Colleague AI

1. Work and Concerns Assistance: The AI listens to drivers' issues at delivery points, offering solutions and advice, creating a comforting experience akin to speaking with an experienced driver.
2. Casual Conversations: During breaks, the AI engages in light-hearted chats about everyday topics, helping drivers relax and refresh while working in isolation.
3. Encouragement and Support: The AI provides motivating words when drivers are feeling fatigued or down, also delivering reminders for health and safe driving practices.

By being a companion in both work-related and mental health aspects, the Colleague AI is designed to function as a “virtual colleague” that drivers can rely on for support. By transforming Coco-chan into an AI presence, the goal is to create a relatable and comforting figure for drivers.

Expected Outcomes of the Experiment

Through the implementation of the Colleague AI, both Tsunagari AI and Kokonet anticipate several positive effects:

• - Enhancing Engagement: By providing a conversational outlet with the AI, it aims to mitigate loneliness among drivers, thereby increasing job satisfaction and attachment to the company.
• - Improving Retention Rates: Early consultation concerning concerns and stress alleviation will support drivers' mental health, potentially reducing attrition rates and fostering a more sustainable working environment.
• - Gaining Business Insights: Contriving analyses of conversations between drivers and the AI can uncover pressing issues and feedback, aiding in operational improvements and labor management.

Both companies plan to rigorously assess these effects, employing both qualitative and quantitative methods, to identify any challenges and refine the approach for broader implementation.

Future Prospects

Depending on the results of this experiment, there are intentions to potentially expand the Colleague AI model into other industries. This could include long-haul truck drivers, taxi drivers, and other occupations characterized by solitary work environments and high turnover rates. The collaboration between Tsunagari AI and Kokonet seeks not just to verify the efficacy of the driver support AI but also to partner with other enterprises and local governments to develop AI solutions that address societal challenges.

About Tsunagari AI Inc.

Tsunagari AI Inc. is a startup focused on utilizing AI technology to resolve social issues. The company leverages generative AI for consultation services traditionally reliant on human resources, thus promoting accessibility to support for individuals experiencing loneliness or isolation.

Company Name: Tsunagari AI Inc.
Location: 5-6-209 Shinkogawa-cho, Shinjuku, Tokyo
Representative: Hiroki Komazaki
Website: www.tsunagari-ai.com

About Kokonet Inc.

Kokonet Inc. provides community-oriented services focusing on last-mile delivery solutions. Founded in 2011 as a subsidiary of Seino Holdings, Kokonet specializes in various delivery services, including groceries and medications, while also engaging in community support initiatives and ensuring the well-being of local citizens.

By fostering connections between people and addressing logistics challenges, Kokonet is dedicated to improving the synergy between society and the logistics industry.