Why Aren't Profits Stable Despite Steady Supply? Solving Energy Industry's "Insufficient Supply-Price Optimization" with AI

AI Data Inc. (Headquarters: Minato-ku, Tokyo; President and CEO: Takahito Sasaki; hereinafter "AI Data") announces the recruitment of three PoC partners for its "Supply-Price Optimization Solution" powered by the optimization AI platform "AI SolarPower on IDX," based on its core AI system "AI Komei on IDX." This initiative aims to address a structural challenge in the energy industry: despite maintaining stable energy supply, companies struggle with unstable profits.

This solution integrates and optimizes power generation, supply-demand balance, pricing, energy storage, and market trading to simultaneously achieve both revenue stabilization and maximization for energy businesses.

▼ AI Platform for Solar Power, Battery Systems, and VPP Industries: "AI SolarPower on IDX"

Background: Why "Supplying Energy Doesn't Mean Profitability"

The energy industry today faces increasing demands for:

Maintaining stable supply

Expanding renewable energy adoption

Advancing market trading sophistication

Yet in practice, the following issues persist:

Low market prices despite high power generation

Unstable revenues despite balanced supply and demand

Energy losses due to renewable output curtailment

This reflects a situation where "supply is ensured, but revenue is not optimized."

Core Issue: "Insufficient Supply and Price Optimization"

Energy profitability heavily depends on operational optimization, including:

When to supply energy

At what price to trade

How to adjust supply and demand

However, current operations are fragmented across departments:

Power generation managed by generation teams

Supply-demand adjustments handled by operations

Pricing strategies led by market trading divisions

This siloed structure leads to:

Increased exposure to price volatility risks

Missed revenue opportunities

Losses from renewable output curtailment

Inefficient battery operation

The root problem is not supply volume, but "insufficient operational optimization."

Solution: Business Optimization AI "AI SolarPower on IDX"

AI SolarPower on IDX integrates decision-making and execution in energy operations to optimize supply-demand balance and pricing.

Data Integration (IDX)

Integrates data on power generation, supply-demand, market prices, and battery storage

Visualizes and analyzes overall operations based on accumulated data

AI Analysis and Forecasting

Demand forecasting (by time and region)

Generation forecasting (including renewables)

Price forecasting (market-linked)

Generates predictive analytics and reports based on data

Optimization Engine

AI provides decision support and recommended actions for optimizing generation and supply timing, supply-demand balance, pricing strategies, and battery charging/discharging

Supports and proposes decisions aimed at maximizing revenue

AI PMO (Execution and Operational Optimization)

Monitors progress of supply-demand plans and provides improvement suggestions

Conducts regular operational analysis and offers adjustment recommendations

KPI monitoring

Enables continuous improvement (Loop)

Achieves "optimization that is actually executed"

Expected Benefits

Improved decision-making accuracy for revenue stability

Early detection of price volatility risks and suggested countermeasures

Analysis of causes behind output curtailment losses and proposals for reduction

Revenue enhancement through optimized battery charging/discharging timing

Advanced supply-demand balance analysis

Even with the same supply volume, profitability can differ significantly.

Message

Historically, the energy industry has been supported by:

Supply volume

Stability

However, these factors alone are no longer sufficient to ensure stable profitability.

What is now essential is "optimization of supply-demand and pricing."

You're supplying energy but not profiting? The issue lies in optimization. AI Komei optimizes energy "decision-making" and "execution."

About AI Data Inc.

Company Name: AI Data Inc. Founded: April 2015 Capital: 100 million JPY (Additional paid-in capital: 1.525 billion JPY) President and CEO: Takahito Sasaki Address: 4F Metro City Kandabashi Building, 5-1-5 Toranomon, Minato-ku, Tokyo URL: https://www.aidata.co.jp/

AI Data has built its business over 20 years on data infrastructure and intellectual property (IP) infrastructure, protecting and enabling the use of data assets for businesses and individuals. Trusted by over 10,000 companies and more than 1 million customers, the company's "Data Ecosystem Business," which includes data sharing, backup, recovery, migration, and erasure, has won the BCN Award for top sales volume for 17 consecutive years. In data infrastructure, AI Data provides cloud data management and recovery services via IDX, and has earned high recognition in the legal field through forensic investigation and evidence disclosure services, including winning the Minister of Economy, Trade and Industry Award.

In the IP infrastructure domain, through group companies, it supports IP management and monetization with patent search and application support systems like "Tokkyo.Ai" and by building IP marketplaces for patent trading. By integrating these capabilities, AI Data has launched a fused data and IP platform powered by generative AI "AI Komei." The company also actively contributes to strengthening social infrastructure by collaborating with Japan's Ministry of Defense to nurture young engineers, leveraging expertise in data management and IP protection.