Oberto Sausage Forecasting Case Study

This case study details the forecasting process implemented by Oberto Sausage Company, a prominent manufacturer of meat snacks and sausage products. The company faced challenges in demand forecasting due to the consistent double-digit growth in their category and the need for a system that could model ongoing demand, incorporate field knowledge, track changes, and develop consumption-based forecasts. The solution involved a structured process led by Eric Kapinos, combining statistical modeling with judgmental input using Forecast Pro tools. The process begins with a conservative base forecast, which is adjusted by Demand Managers and Customer Service Representatives based on field insights. The focus is on key customers whose consumption data is available, utilizing dynamic regression modeling. The results indicate a streamlined approach has allowed Oberto to sustain growth while maintaining inventory value and proactively addressing potential shortfalls with important customers.