The implementation of data mining techniques for sales analysis using daily sales data

Abstract

It is important to every business to know their level of market competition, for example customers demand, customers’ pattern of buying and their sales performance. This project proposes a sales analysis using prediction and association technique in sales data. Chan Furniture and Electrical Appliances Company have been selected as a case study. From the preliminary study, the researcher found that the Company is facing fluctuating amount of sales throughout the year. The sales obtained are lower than expected. The prediction model is used to predict the product that will be sold for every month. The association model is used to identify the associated products purchased by the customer. Purchasing transactions data is taken from the sales invoices issued by the company. The result obtained from both is used in developing a business strategy for Chan furniture.