AI Adoption in the Organization

Digital Transformation

The Company is applying Artificial Intelligence (AI) to targeted business priorities where AI can improve revenue generation, cost efficiency, operational resilience, and workforce productivity. Rather than positioning AI as a standalone technology initiative, the Company focuses on practical use cases that address specific operational challenges across the business, translating AI potential into measurable business impact across the Company’s diversified energy portfolio.
Vehicle Routing Optimization
An AI-driven Vehicle Routing Problem (VRP) model has been deployed in the Company’s e-Mobility operations to optimize fleet routing and logistics. The model lowers transportation cost, improves on-time delivery performance, and provides a data-backed foundation for contract negotiations with logistics partners, converting routing efficiency into both operational savings and commercial leverage.

Location

Thailand

Project Duration

2025-Present

Company Benefits

• Enhance service reliability and on-time performance

• Increase revenue potential through expanded service capacity

Performance Metrics

• Fuel consumption and energy intensity

• CO2 emissions reduction

Project Status

Live, expansion to additional customers underway

AI-Assisted Talent Management
The AI-assisted talent management initiative augments the Company’s high-potential identification and performance management processes with machine-learning models that synthesize performance data, competency signals, and career history. The system improves the accuracy and consistency of high-potential identification, accelerates ranking calibration and performance discussions, and gives HR business partners a sharper basis for retention and succession decisions, strengthening the internal talent pipeline and reducing reliance on external hiring.

Location

Thailand

Project Duration

2024-Present

Company Benefits

• Retain top talent and reduce reliance on external hiring

• Increase efficiency of the performance management process

• Reduce cycle time for ranking calibration and performance discussions

Performance Metrics

• Voluntary turnover rate of employees identified as high-potential talent

• Proportion of open management positions filled by internal candidates

Project Status

Live, enhancement phase in progress

Energy Trading Intelligence
The energy trading business in Japan applies AI-powered forecasting models to Japan’s short-term power markets, specifically the day-ahead and imbalance markets, to predict price movements and surface market signals for the trading desk. By translating volatility patterns and cross-market arbitrage opportunities into actionable insights, the platform supports more informed buy-sell decisions and strengthens the Company’s energy trading revenue streams.

Location

Japan

Project Duration

2024-Present

Company Benefits

• Increase short-term trading revenue and option realization

• Surface higher-value market opportunities for traders

Performance Metrics

• Energy trading revenue

• Penalty costs from off-spec product

Project Status

Live, scaling to cover all 9 regions

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