Challenge: A global food company was experiencing flat revenue and struggling to increase market share with demanding consumer expectations for ingredients and prices. Financial forecast credibility was debated, and plans were not consolidated. With a projected $100-million profit gap, timely accurate data was difficult to receive.

More companies are undergoing Sales and Operations Planning (S&OP) transformations today due to increased understanding of their value, as well as increased capability of new forecasting technologies such as machine learning and demand sensing.