Sales Management Using Apriori Algorithm On SAP Fiori

Abstract

Sales management is an important aspect of all Business analytics outfits. However, in today’s digital world we need to find on-the-go solutions. We can find these by targeting the mobile Apps. We find that there are numerous mobile solutions offered by android Apps in the market. They are so popular because of compatibility on various mobile platforms. But a major problem faced by many outfits today is their compatibility with backend systems in use, namely the ERPs like SAP. In this paper we aim to solve this problem. We also portray a successful use of the upcoming SAP Fiori technology which works on multiple mobile platforms. Another major issue is business analytics on such mobile platforms. Using SAP ERP and the latest HANA databases, we can perform robust data mining algorithms on vast amounts of data. Infact, some datamining essential algorithms are already a part of such systems in the form of libraries. However, these databases are expensive and are unsuitable for small outfits using SAP services. Today, there exists virtually no library for data-mining on mobile devices without a Hana database. In our experiments we aim to solve this issue. We have created a market basket-analysis system to be deployed as a mobile App on SAP Fiori from scratch without a Hana database. We implemented an Apriori algorithm, to generate rules. We found that such a system can be developed with said requirements and has very low operational delay Keywords-Apriori algorithm, SAP Fiori, Sales management, ERP, Business analytics