An accurate inventory forecast is invaluable, especially when supply chains and consumer demand are changing rapidly. Getting forecasts right requires a complex mix of statistical and mathematical data analysis, experience with the business and customer insights. It also requires people who can make data-informed predictions based on factors that could cause a dip or spike in future demand. Some factors are major, some peripheral. Some could make an entire season, while some have only a mild effect.