Case Study: one of the largest U.S. retailers improves revenue and stock planning with LITSLINK's goods demand forecasting software

One of the Largest U.S. Retailers boosts revenue by 34% with LITSLINK

The customer, one of the largest U.S. retailers, faced the challenge of predicting demand for certain products nationwide. They engaged the vendor LITSLINK to develop a software system that could forecast when and how customers would buy and determine the optimal quantity of goods needed to satisfy that demand.

LITSLINK developed a goods demand forecasting solution based on data science and machine learning in just seven weeks. The system uses historical data to provide sales analysis and forecasts with 91% accuracy. This allowed the retailer to keep the right number of goods in stock, which improved their revenue by 34% and increased their storage capacity by 65%.