Abstract: With today uncertain economy,companies are searching for alternative methods to keep ahead of their competitors.Forecasts of future demand will determine the quantities that should be purchased,produced and shipped.In this work α,two data mining methods,artificial neural network(ANN) and exponential smoothing(ES) were utilized to predict the demand of the fertilizer(Ammonium Sulphate).The training data used was the sales data of fertilizer of the previous 3 years.Demand forecasted by artificial neural network is more accurate and have less inventory costs than exponential smoothing method.