Case Study
Demand Forecasting in E-Commerce
Enabled smarter inventory planning with AI-driven analytics, reducing stockouts by 40% and improving sales efficiency.
Challenge:
A large e-commerce retailer struggled with overstocking and stockouts due to inaccurate demand forecasting.
Solution:
Elevra built a predictive analytics tool that analyzed sales history, seasonal trends, and external factors such as holidays and promotions to forecast demand with precision.
Results:
Forecast accuracy improved by 88%, reducing inventory waste and increasing profit margins through smarter restocking decisions.