Swapnali Karvekar
Senior Analyst, Inventory Optimization
Rivian
Swapnali Karvekar is a supply chain analytics and operations research professional specializing in data-driven decision systems for complex supply networks. She currently works in inventory optimization and service supply chain planning, where she focuses on applying machine learning and quantitative modelling to improve demand forecasting, inventory performance, and operational resilience across large-scale service networks.
Her work centres on translating data into practical decisions under uncertainty—combining forecasting, optimization, and system-level thinking to help organizations manage volatility, strengthen supply chain visibility, and improve planning accuracy. She is particularly interested in the role of AI and advanced analytics in enabling reliable, explainable, and scalable decision-making in modern supply chains.
Swapnali holds a Master’s degree in Industrial and Systems Engineering and has published research on machine learning applications in operational environments. She actively contributes to the analytics and operations research community through industry engagement and knowledge sharing on the use of data-driven methods to support resilient supply chain operations.