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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
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