#Japan #Tokyo #Used Trucks #Waseda University #AI Storm

AI Storm Collaborates with Waseda University on AI Valuation Model for Used Trucks

AI Storm Co., Ltd. (formerly known as Jexceed), headquartered in Chiyoda, Tokyo, is excited to announce its partnership with Professor Liu Jiang from Waseda University's Faculty of Science and Engineering. Together, they are embarking on a research initiative focused on developing a multi-modal AI model for estimating the value of used trucks.

The Aim of the Research

This collaborative research aims to enhance the assessment process within AI Storm’s used truck business, which has traditionally relied heavily on the expertise of seasoned professionals. By leveraging various data sources—including vehicle images, maintenance records, driving data, and auction comments—this initiative aspires to create a robust valuation model characterized by objectivity and reproducibility.

AI Storm is committed to implementing AI technologies in real-world applications, and this collaborative effort represents a strategic step toward strengthening the company’s technological foundation.

Increasing Demand for Objective Valuation in the Used Truck Market

The logistics industry is experiencing structural changes due to driver shortages, rising fuel costs, and demands for environmental responsibility. This evolution has heightened the importance of reusing and accurately valuing used trucks.

Currently, the assessment process significantly depends on individual assessors' experience and intuition, leading to several challenges:

• - Variations in evaluations
• - Difficulty in accountability
• - Inefficiencies in the assessment process

Given these challenges, there is an urgent need for a data-driven and fair value evaluation approach. The practical implementation of AI-based estimation models has become a pressing issue in the industry.

AI Storm's Growth and Research Investment Strategy

AI Storm has maintained a strong growth trend, projecting revenue and profit increases in the current fiscal year. To capitalize on these achievements, the company plans to invest aggressively in “offensive research and development.” This strategic allocation of resources aims to bolster business expansion and enhance its technical capabilities.

The collaboration with Waseda University will serve as a pivotal project in promoting new value creation and addressing societal challenges through AI technology. AI Storm’s strategy emphasizes the balanced pursuit of corporate growth alongside social contributions.

Overview of the Collaborative Research

The research collaboration will undertake the following initiatives:

• - Development of a Multi-modal AI Model: Integration of diverse information, such as vehicle images, driving history, inspection, and maintenance data, along with textual information (e.g., auction comments) to analyze and extract relevant features for valuation.
• - Creation of a Consistent Valuation Model: Developing a quantitative price estimation model based on market trends and historical data to complement and enhance traditional subjective assessments.
• - Enhancing Visibility and Explainability of Assessments: Using AI technology to clarify the reasoning behind valuations, thereby increasing trust in transactions.

Expected Benefits

The successful implementation of this AI-based valuation model is anticipated to yield several benefits, including:

• - Standardization and improved accuracy in the valuation of used trucks, ensuring fairness and transparency in pricing.
• - Accelerated assessment processes leading to improved efficiency in purchasing and sales operations.
• - Enhanced inventory turnover rates and profitability through data-driven management strategies.
• - Maximization of vehicle value, contributing to effective resource utilization and reduced environmental impact.
• - Promoting practical research through industry-academia collaboration, which includes nurturing AI and data science talents.

Collaborative Research Partner

The project is led by Professor Liu Jiang of the International Engineering Center at Waseda University. Holding a master's and doctorate in International Information Communication from Waseda, Professor Liu has held numerous academic positions and is recognized for his expertise in wireless communications, wireless networks, optical wireless communications, and sensing technologies.

His recent focus includes cutting-edge research in mobility, such as network-cooperative autonomous driving and multi-scale sensing, further enriching the practical application of AI in technology research.

Future Prospects

AI Storm is poised to deeply embed AI into real business environments and lead the transition into a data-driven mobility industry. The AI valuation model developed from this collaboration with Professor Liu will serve as a crucial technical asset for the company, driving improvements in assessment accuracy, operational efficiency, and profitability.

In parallel, associated research with Professor Onoda is focused on establishing environmental value and traceability foundations for vehicles and storage systems. This dual approach—economic value through Liu’s research and environmental value via Onoda’s research—will powerfully support AI Storm’s strategic vision.

As these industry-academia collaborations yield tangible growth results, AI Storm aims to achieve a milestone market capitalization of 50 billion yen, continuing its challenge to create new market value as a pioneering Japanese data×AI mobility company. This collaborative research is essential in paving the way towards that promising future.

Company Overview

• - Company Name: AI Storm Co., Ltd. (formerly Jexceed)
• - CEO: Toshio Imai
• - Location: 3-17-11 Kanda Nishikicho, Chiyoda-ku, Tokyo, 9th Floor, Eigyo Building
• - Business Activities: AI business, AI education, AI product development, ERP/HR consulting, LED vision, truck sales and leasing, ad truck advertising, IT equipment sales, etc.
• - Corporate Website: www.ai-storm.co.jp

For media inquiries, please contact:
AI Storm Co., Ltd.
Public Relations Department
E-mail: [email protected]