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

