MADHU KRUPA MEGALATTI FRANCIS

Madhu Krupa Megalatti Francis has built a professional career at the intersection of strategic supply chain planning, procurement, sustainability, and digital operational transformation. Across eight years of experience spanning advanced manufacturing, public-sector supply networks, and enterprise procurement environments, her work has consistently focused on integrating analytics, ERP systems, predictive modeling, and cross-functional planning to improve forecasting accuracy, inventory governance, production readiness, and supply resilience. Her record reflects a clear pattern of using technology-enabled methods not simply to optimize operations, but to modernize how organizations make planning and procurement decisions in complex environments.

At ASML, where she serves as a Senior Business Planner, Francis has led operational planning efforts for EUV and EXE product lines within one of the most sophisticated semiconductor manufacturing ecosystems in the world. Her role centered on strengthening cross-site synchronization across engineering, logistics, and sourcing functions while improving planning precision, reducing shortages, and increasing readiness for highly complex production programs. Under her leadership, cross-site collaboration efficiency improved by 25%, freight costs were reduced by 12%, and on-time delivery rose to 98%. By developing structured forecasting tools, she also helped reduce excess and obsolete inventory by 20%. The significance of this work lies in its fusion of advanced forecasting and coordinated production planning in a precision-driven environment where operational mistakes carry high cost and strategic consequence.

Her earlier work at Tesla in New York further demonstrates her ability to apply predictive analytics and structured planning to high-volume manufacturing. Supporting Model X, Model Y, and Energy programs as a Material Planner, Francis focused on new product introduction readiness, inventory optimization, supplier coordination, and launch execution. She helped improve BOM accuracy by 62% through close coordination with design and engineering teams, while predictive analytics initiatives reduced obsolescence by 92%. Her implementation of FIFO inventory governance reduced wastage by 78%, generating $2.7 million in savings, while additional overflow and expiration analyses reduced obsolescence by 89% and enabled $10 million in savings through strategic redistribution across plants. This body of work reflects a strong command of data-driven planning in active production and launch environments, where timing, accuracy, and sustainability are deeply interconnected.

In an earlier Tesla role in California, Francis concentrated on digital enablement within Tesla’s in-house ERP system, WARP. Her objective was to improve planning accuracy and stabilize supplier performance using analytics and workflow automation. By designing automation capabilities within WARP, she improved planning accuracy by 15%. She also increased cube utilization for a key supplier from 40% to 84%, resulting in $150,000 in monthly savings, and improved ship-to-schedule performance for a constrained supplier from 33% to 90% through structured monitoring and analytics collaboration. This work stands out for embedding automation directly into internal enterprise systems, thereby strengthening the integration between operational execution and data systems in a demanding manufacturing setting.

Francis’s contributions are not limited to private-sector advanced manufacturing. At KPTCL, where she served as Supervisor in Electrical Supply Chain, she helped modernize procurement processes and improve inventory and vendor governance within a public-sector utility environment. Through the development of analytical reports on 14,400 non-moving and obsolete materials, she contributed to a 62.6% reduction in inventory costs. Strategic vendor negotiations reduced costs by 20%, while structured RFI development and techno-commercial bid evaluations strengthened procurement transparency and supplier competitiveness. This project highlights her ability to bring data-backed methods into operational settings that have historically depended more heavily on manual processes and traditional procurement practices.

Her experience at Tata Consultancy Services further broadened her record in analytical procurement and manufacturing decision support. As a Senior Procurement Analyst, she worked on make-versus-buy analysis and supported the launch of a new production line. Her application of spend modeling and outsourcing evaluation resulted in 20% cost savings, a 30% lead time reduction, and a 9.8% overall cost decrease for the initiative. She also trained 27 employees in Lean stock management, generating annual savings of $30,600 in storage costs. This work demonstrated her ability to convert cost modeling into actionable production strategy and operational discipline.

At Rich’s, Francis contributed to digital procurement transformation through SAP Ariba, focusing on supplier integration and electronic procure-to-pay enablement. By onboarding 48 suppliers to the SAP Ariba network, she helped raise electronic procurement success rates from 84% to 92%, improving automation and supplier connectivity. Though earlier in her career, this experience shows an important continuity in her professional profile: the consistent use of digital systems to strengthen procurement infrastructure and modernize operational workflows.

Taken together, these roles reveal a professional whose impact extends far beyond routine planning or procurement execution. Francis has repeatedly embedded analytics, predictive modeling, ERP automation, digital procurement platforms, and structured cost analysis into supply chain environments that depend on precision, speed, and resilience. Her work reflects a mature understanding that supply chain engineering is no longer purely logistical; it is increasingly computational, data-driven, and system-oriented. By bringing technology-centered methods into operational planning and procurement strategy, she has strengthened sustainable planning practices, improved digital maturity, and enabled better decision-making across varied organizational contexts.

For IICSPA Fellowship consideration, Madhu Krupa Megalatti Francis presents a compelling profile defined by measurable innovation, operational impact, digital systems leadership, and the application of computing principles to real-world supply chain transformation. Her work demonstrates how data, automation, and enterprise systems can be used to modernize manufacturing and procurement functions at scale, making her a strong fellowship-level candidate.