Curbing Overstock Waste by 30% Through Predictive Analysis of Seasonal Product Returns

Using Public Review and Social Media Data to Forecast Return Rates and Optimize Inventory

Identified high-risk SKUs pre-season, leading to a 30% reduction in post-holiday overstock, a 15% improvement in cash flow, and a 22% decrease in return processing costs.