A Study on Data Mining Techniques For Forecasting FMCG Product Sales

Today era Sale forecasting is essential for any business organization. For forecasting sales, data mining techniques are used. Today’s era is full of information. And where there is information, data is there. The volume of data is increasing every day. With a huge volume of data, finding useful data is like finding a needle in a haystack. The mining process is used to find useful information from large amounts of data using different mining techniques. There are many techniques available to forecast the sales of business organizations. Sales of the FMCG product are affected by many of the variables. With accurate sales forecasting, businesses can get an idea of transportation, human resources, production, and cash flow requirements. This paper reviews some of the important data mining techniques: classification, clustering, regression, and decision trees, which are very useful to predict sales.