Analysis of grouping ABC – VED and predicting the number of requests

Abstract Market competition is required for company to optimize the management, which are appropriate, effective and efficient, since it is used for a company to satisfy a demand. ABC analysis is used for sorting some items which is dominating in sales based on investment value. Meanwhile, VED analysis aims to classify commodity based on the level of importance of store owner’s sales. The result of classification using ABC – VED analysis is a matrix that differentiates into three categories, namely category I is composed of AV, AE, AD, BV and CV; category II consists of BE, CE, and BD; and the third category consists of CD. The results of the ABC-VED analysis are then predicted the number of requests for commodity with the Double Exponential Smoothing method from Brown. This forecasting method is used when the data indicate a trend. Trend is a smoothed estimate of average growth at the end of each period. Forecasting results are expected to help plan inventory for the coming year at TB. Bina Usaha Temanggung Indonesia to prioritize sales.