Project Title: FMCG Warehouse: Optimizing Amazon's Distribution Efficiency

Overview:
This project focused on analyzing and optimizing Amazon’s warehouse and distribution operations specifically for the Fast-Moving Consumer Goods (FMCG) segment. Given the high velocity and volume of FMCG products, the goal was to enhance warehouse performance, streamline inventory flow, and improve delivery turnaround time while minimizing costs.

Objectives:

• Identify operational inefficiencies in Amazon’s FMCG warehouse layout and processes

• Optimize inventory placement and picking routes to reduce handling time

• Apply data-driven demand forecasting to better manage stock levels.

  Methodology:

  • Conducted end-to-end warehouse process mapping.

  • Used historical order patterns to build a predictive demand model

  • Evaluated transportation and last-mile delivery links from the warehouse

  Outcomes:

  • Proposed a restructured warehouse zoning system based on item frequency

  • Improved order picking efficiency by ~20% in simulation scenarios

  • Reduced average dwell time and optimized labor allocation

  • Delivered a scalable blueprint for high-throughput FMCG distribution in large fulfillment centers.

  Tools & Technologies:
  Power Bi, Excel, Word,Power Point