Where Supply Chain Meets Artificial Intelligence
A Mechanical Engineer and Global Business Management graduate with 5+ years of experience in supply chain, logistics, and data-driven operations across the automotive and FMCG industries — spanning global organizations including Daimler Trucks Asia, Ford Motor Company, and Mondelēz International.
At Daimler Trucks Asia, I started on the supply chain floor — managing inventory, production planning, supplier coordination, and quality collaboration at one of Asia's largest manufacturing plants (400 acres). I planned safety stock levels, coordinated supplier deliveries, monitored material flow, and resolved shortages to maintain uninterrupted production. I then contributed to Lean and Six Sigma improvement projects, analyzing forecasting inputs and inventory KPIs to optimize performance.
I later moved into the IT Production & Logistics function, contributing to Supply Chain 4.0 and manufacturing digitalization — supporting MES operations, SAP/ERP integration with IoT platforms (Rockwell Automation), and enabling connected factory capabilities through centralized kitting, Just-In-Sequence, and E-Kanban implementations.
At Ford Motor Company, I managed inventory planning and supplier coordination for 60,000+ service parts — sourcing internationally from the US, China, Taiwan, and Thailand, and delivering across Spain, England, Germany, and wider Europe — maintaining a 99% fill rate and contributing to €60,000 in cost savings.
Now at Mondelēz International, I focus on transportation analytics, logistics performance, and network efficiency across Canada — collaborating with 15+ carrier partners spanning Eastern & Western Canada, Ontario, and Quebec. Through cross-functional data collaboration, I helped improve national OTIF from 83% to a record 94.5%. My interest lies in leveraging data, analytics, and AI to transform supply chain decision-making and build intelligent logistics systems.
