Why Are You Working Hard but Not Making a Profit? — AI Solves the 'Vehicle Allocation and Loading Optimization Deficit' in Logistics: AI Data Corp. Recruits PoC Partners for 'AI LogiPro on IDX'

AI Data Corporation (Headquarters: Minato-ku, Tokyo; President & CEO: Takahito Sasaki; hereinafter 'AI Data'), a company specializing in corporate data and AI utilization, announced that it is recruiting 3 PoC partners for a 'Vehicle Allocation and Loading Optimization Solution' utilizing 'AI LogiPro on IDX,' which is based on 'AI Komei on IDX.' This solution addresses the structural issue in the logistics industry where companies 'work hard but do not make a profit.'

This solution comprehensively optimizes vehicle allocation, loading, routes, and personnel placement, aiming to maximize profitability for logistics companies.

■ Background: The 'Limits of Effort' in the Logistics Industry

Currently, the logistics industry is facing the following challenges:

· Worsening driver shortage

· Rising fuel and labor costs

· Working hour regulations (the 2024 problem)

· Unstable delivery demand

Despite maximum daily efforts on the ground, problems persist:

· Empty vehicles occur

· Loading rates are low

· Inefficient routes occur

This has led to a chronic state of 'working hard but not making a profit.'

■ The Core of the Problem: 'Vehicle Allocation and Loading Optimization Deficit'

In many logistics companies:

· Vehicle allocation relies on experience and intuition

· Loading optimization is only partial

· Decision-making is fragmented across locations

This results in:

· Increased empty vehicle rates

· Decreased loading rates

· Unnecessary driving

· Increased costs

The problem is not a lack of effort on the ground, but a 'structural optimization deficit.'

■ The Solution: Logistics Optimization AI 'AI LogiPro on IDX'

AI LogiPro on IDX integrates decision-making and execution in logistics, optimizing vehicle allocation and loading.

Data Integration (IDX)

Aggregates and centrally manages order, delivery, vehicle, driver, and route data on IDX, providing a visualization environment for real-time status updates.

Centralizes dispersed information, enabling a comprehensive overview.

AI Analysis & Prediction

Analyzes trends and demand fluctuation patterns based on accumulated data, analyzing delivery volume fluctuations.

Analyzes risk trends from past delivery data and generates reports.

Enables data-driven, evidence-based vehicle allocation decisions.

Optimization Engine

Supports the creation of vehicle allocation plans and provides optimization proposals based on data analysis.

Analyzes loading data to propose improvements for increasing loading rates.

Supports efficient route selection based on delivery performance data analysis.

Achieves 'proposal-type optimization' that maximizes efficiency with limited resources.

AI PMO (Execution & Operation Optimization)

Manages the execution of vehicle allocation plans (centralized management as planning and progress management documents).

Supports plan review and adjustment in response to changing conditions.

KPI monitoring (continuous tracking through data aggregation and reporting).

Continuous Improvement (Loop)

Supports 'executed optimization' through a continuous improvement (Loop) mechanism.

■ Expected Implementation Effects

· Expected improvement in loading rate (+10 to 20%) through the execution of improvement proposals by the optimization AI.

· Reduction in empty vehicle rates through optimized vehicle allocation planning.

· Reduction in fuel costs.

· Improved delivery efficiency.

· Improved profit margins.

Maximizes profit with the same personnel and vehicles.

■ Message

Until now, the logistics industry has been supported by:

· On-site effort

· The experience of skilled workers

However, from now on, effort alone will not generate profit.

What is needed is 'optimization.'

Effort alone cannot increase loading rates.

'AI LogiPro on IDX' optimizes logistics 'judgment' and 'execution.'

■ Certified as a Target IT Tool for the Digitalization/AI Introduction Subsidy 2026

AI Komei on IDX has been certified as a target tool for the Digitalization/AI Introduction Subsidy 2026.

With this certification, AI Data aims to provide AI infrastructure, which previously had high implementation barriers, as a realistic option for more small and medium-sized enterprises (SMEs). The company will further strongly support the introduction and utilization of AI transformation (AX) in SMEs, contributing not only to improving productivity for each company but also to the advancement of Japan's overall industrial structure and the enhancement of its international competitiveness.

● Subsidy Registration Details (Application Criteria)

Up to 2/3 of 1,748,500 yen in the first year

Up to 2/3 of 3,497,000 yen in the second year

Take this opportunity to try the optimization AI solution 'AI Komei on IDX,' which naturally transforms your company into an AI-native environment while using the 'dual-sword model' of 'making operations easier and management stronger,' achieving overall optimization.

■ About AI Data Corporation

Company Name: AI Data Corporation

Established: April 2015

Capital: 100 million yen (Capital reserve: 1.525 billion yen)

President & CEO: Takahito Sasaki

Location: 4F, Metro City Kamiyacho Building, 5-1-5 Toranomon, Minato-ku, Tokyo

URL: https://www.aidata.co.jp/

AI Data has been developing businesses that protect and utilize corporate and personal data assets for over 20 years, based on data infrastructure and intellectual property (IP) infrastructure. Trusted by over 10,000 companies and more than 1 million customers, its 'Data Ecosystem Business,' encompassing data sharing, backup, recovery, migration, and deletion, has won the top sales volume award at the BCN Awards for 17 consecutive years.

In data infrastructure, the company provides IDX cloud data management and recovery services, and has also earned high praise in the legal field through its forensic investigation and e-discovery services, which have received the Minister of Economy, Trade and Industry Award.

In IP infrastructure, it supports IP management and monetization through its group company's patent search and application support system 'Tokkyo.Ai' and the construction of an IP marketplace enabling patent trading. Integrating these, it is developing a platform that fuses data and IP using the generative AI 'AI Komei.' The company also focuses on nurturing young engineers in collaboration with the Ministry of Defense, contributing to the strengthening of social infrastructure through data management and IP protection.