Why isn't the loading rate increasing? — What is the 'Dispatch and Loading Optimization AI' that will change the logistics industry? ~AI Data Inc. equips 'AI LogiPro on IDX' with an optimization AI model~

AI Data Inc. (Headquarters: Minato-ku, Tokyo; Representative Director and President: Takahito Sasaki; hereinafter 'AI Data Inc.'), a company specializing in the utilization of corporate data and AI, has launched an 'AI-powered Dispatch and Loading Optimization AI.' This solution integrates an optimization AI model into 'AI LogiPro on IDX,' which is built on the foundation of AI Komei on IDX, focusing on the 'inefficiency of loading rates,' a primary cause of declining profitability in the logistics industry.

The objective of this solution is to fundamentally improve the profit structure of logistics companies by comprehensively optimizing dispatch, loading, routes, and personnel allocation.

■ Background: Why is logistics 'unprofitable even when transporting goods'?

Currently, the logistics industry faces severe challenges such as:

・ Driver shortage

・ Soaring fuel costs

・ Working hour regulations (the '2024 Problem')

・ Unstable demand

Despite maximum daily efforts on the ground, problems like:

・ Empty vehicles occurring

・ Low loading rates

・ Inefficient routes occurring

remain unresolved. The structure of 'no profit despite transporting goods' persists.

■ The essence of the problem: Reasons why loading rates do not increase

The reasons for low loading rates are not simple.

・ Dispatch relies on experience and intuition

・ The combination of cargo, vehicles, and time is not optimized

・ Decisions are fragmented by department and location

・ Real-time re-optimization is not possible

The problem is not with the現場 (on-site operations) but with 'structural lack of optimization.'

■ Solution: Dispatch and Loading Optimization AI 'AI LogiPro on IDX'

AI LogiPro on IDX supports decision-making in the logistics industry with the power of data and AI, maximizing loading rates.

1. Data Integration (IDX)

・ Consolidates order, delivery, vehicle, and route information into a drive

・ AI instantly analyzes and organizes the overall situation based on uploaded data

Enables proactive dispatch decisions based on data.

2. AI Analysis and Prediction

・ Demand forecasting and analysis of delivery volume fluctuations

・ Analysis of risks and delay trends based on past data and industry knowledge

Enables proactive dispatch decisions based on data.

3. Optimization Engine

・ AI proposes optimal patterns for dispatch, loading, and routes

・ Shifts from 'intuition and experience' to 'data and proposals'

Achieves maximum efficiency with limited resources.

4. AI PMO (Execution and Operation Optimization)

・ AI review of dispatch plans and improvement proposals

・ Automatic generation of regular KPI reports

・ Continuous improvement proposals based on accumulated data (Loop)

Achieves 'optimization that works on-site,' not just 'theoretical optimization.'

■ Expected Implementation Effects

・ Improved loading rates (+10-20%)

・ Reduced fuel costs

・ Reduced driver burden

・ Improved profitability

Achieves higher revenue with the same vehicles and personnel.

■ Message

Until now, the logistics industry has been supported by:

On-site experience

Expert judgment

However, from now on, 'whether optimization is possible' will determine profitability.

Loading rates do not increase with 'effort.' They increase with optimization.

■ Future Developments

Following the manufacturing and logistics industries, AI Data Inc. will expand 'Optimization AI x AI PMO' to all industries, including:

* Retail

* Healthcare

* Energy

■ About AI Data Inc.

Company Name: AI Data Inc.

Established: April 2015

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

Representative Director and President: Takahito Sasaki

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

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

AI Data Inc. has been developing businesses that protect and utilize corporate and individual data assets for over 20 years, based on data infrastructure and intellectual property infrastructure. Trusted by over 10,000 companies and 1 million customers, its 'Data Ecosystem Business,' which encompasses data sharing, backup, recovery, migration, and erasure, has won the BCN Award for 17 consecutive years as the top-selling product.

In data infrastructure, it provides IDX cloud data management and recovery services, and has earned high praise in the legal field through forensic investigations and evidence disclosure services that have received the Minister of Economy, Trade and Industry Award.

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