Tirawat Phoomboplab

• Architected Predictive Intelligence: Scaled "Need-Stage" predictive models to encompass both B2C end-users and B2B contractors, driving sales conversion from 3% to 8% through hyper-relevant, data-driven product recommendations. • Spearheaded Enterprise AI Adoption: Built an internal GenAI sandbox for 1,000+ employees, establishing robust governance and a scalable infrastructure to accelerate AI-driven productivity across the organization. • Institutionalized Data Assets: Transformed internal tribal knowledge and operational manuals into AI-ready digital assets, enabling cross-functional teams (HR, Supply Chain, Stores) to leverage internal data for accurate, company-specific insights. • Engineered Supply Chain Visibility: Developed an end-to-end forecasting and shipment tracking ecosystem with real-time risk alerts for overseas delays; successfully reduced out-of-stock by 15% and optimized overstock levels by 40M THB/year.

• Led Lean / Six Sigma–driven transformation, using root-cause analysis to prioritize high-impact digital initiatives. • Transformed eCommerce into a marketplace platform, enabling rapid product assortment expansion and new revenue streams. o Integrate front/backend system and business process design increasing last-mile delivery & installation capacity from 5,700 to 7,400 queues/day • Led end-to-end Transportation Management System (TMS) transformation to optimize routing, delivery windows, and asset utilization, and unlocked 100MB annual backhaul revenue.

• Led end-to-end supply chain planning across import and local sourcing, balancing availability, inventory, and cost. • Modernized SAP replenishment and analytics, including forecasting, pack-size optimization, and exception-based reporting. • Improved stock availability from 93% to 98%+; reduced overstock (12% → 8%) and non-moving inventory (14% → 10%). • Drove large-scale change adoption across 100+ supply chain professionals, embedding data-driven decision making.

Supported expansion and optimization of three regional DCs using data-driven network analysis. Improved DC productivity across five major distribution centers through workforce and throughput optimization.

Delivered process improvement and cost-reduction programs across real estate, petrochemical, and industrial clients. Led structured process redesign initiatives to reduce lead time and improve operational efficiency.