Walmart U.S. Retail: Inventory Forecasting & Safety Stock Analysis

I completed an inventory analytics project focused on improving retail replenishment decisions across Walmart-style SKU demand patterns. The project explored how demand variability, reorder points, safety stock levels, holding costs, and stockout risks interact in retail inventory planning.

Using Python and Excel, I developed demand forecasting and safety stock models to evaluate reorder point decisions across retail SKUs. I also built a KPI dashboard that visualized inventory holding cost, stockout risk, service levels, and reorder recommendations, making it easier to understand the tradeoffs behind different inventory policies.

This project helped me apply core supply chain concepts such as demand planning, inventory optimization, safety stock, and service-level analysis in a practical business context. It also reinforced the importance of translating analytical outputs into clear recommendations that support operational decision-making.

Skills/Tools: Python, Excel, Forecasting, Safety Stock, Reorder Points, Inventory Optimization, KPI Dashboards