Mukesh Chandra Sharma

About Mukesh Chandra Sharma

A results-driven Supply Chain & Logistics Professional with over 6 years of experience in the pharma, e-commerce, and last-mile operations industries. I have a proven track record in vendor management, cold chain logistics, and demand forecasting for high-value healthcare products. My expertise also includes inventory management, procurement, warehouse operations, and distribution planning.I specialize in leveraging analytics to reduce operational costs and improve delivery efficiency. By implementing a demand forecasting model, I was able to reduce stockouts by 20%. I also lowered procurement costs by 15% through strategic vendor contract negotiations and cut expiry losses by 10% by implementing a FIFO system.

Experience

1. Team Lead

   Paytm

   Nov 2025 — Present · Noida, IN

   Leading end-to-end supply chain operations, inventory planning, and logistics coordination across 79+ distribution hubs — driving operational efficiency through data-driven decision-makingKey Contributions: Lead shipment tracking and logistics coordination across 79+ distribution hubs, ensuring consistent on-time delivery performance and operational SLA adherence. Built and maintain real-time KPI dashboards, enabling senior management to monitor TAT, inventory utilization, and hub-level operational efficiency. Improved inventory utilization by 15% through MIS reporting and demand-driven forecasting models — reducing dead stock and optimizing replenishment cycles. Optimize inter-hub stock allocation using demand-based dispatch planning, reducing inventory imbalance across the supply chain network. Perform Root Cause Analysis (RCA) on operational discrepancies, implementing corrective actions that significantly reduced error rates across hubs. Develop and execute dispatch plans aligned with real-time demand signals, stock availability, and operational priorities. Collaborate with cross-functional teams — logistics, operations, finance, and vendors — to optimize supply chain planning and execution at scale.