ADV MATH SCI JOURNAL Advances in Mathematics: Scientific Journal 9 (2020), no.7, 5049–5056 ISSN: 1857-8365 (printed); 1857-8438 (electronic) https://doi.org/10.37418/amsj.9.7.70 Spec. Iss. on AMABDA-2020 AN APPROACH OF SALES PREDICTION SYSTEM OF CUSTOMERS USING DATA ANALYTICS TECHNIQUES K. VENGATESAN 1 , E. VISUVANATHAN, A. KUMAR, S. YUVARAJ, AND P. SHIVKUMAR TANESH ABSTRACT. In country there are lots of supermarkets, shopping malls the man- aging sales of the shopping malls is very exigent works. The customer require- ments will be changed every month, the manager or store owners are facing the problem for keeping stock for upcoming months. In this work we proposed data analytics-based approach for predicting the sales details based on the last 12 months data and it will generate report, in which moth maximum products are sales profit of the each and every month. This system performs various task like, finding best months for sales, calculate monthly earned money from differ- ent products, which city sold the maximum products, when will be the best time for advertisement to maximum customer to buy the products also generates re- port, which are items are frequently bought by the customer to keep stock for upcoming months and, increase the profit of the shopping mall business. 1. I NTRODUCTION Sales prediction is playing creating and noteworthy employment in various fields, for instance, money related envisioning, electric power deciding, resource conjecture, etc. Arrangements conjecture is a noteworthy basic for enormous business orchestrating and right powerful, allowing associations to all the more 1 corresponding author 2010 Mathematics Subject Classification. 60G25, 62M20. Key words and phrases. Sales Prediction, Maximum Profit, Customer Behaviours, Data Analytics. 5049