Experimentation on Transaction Data for Online Retailer Dataset

Due to accelerated pace of economic globalization and increasing market competition, economic pressures and competition have lead enterprise managers to face the problems of choosing the right strategic decision-making policies. Recently, it has been recognized that precision marketing has become a key means of generating profit and is becoming increasingly important has customers become better inform about the products and their rights as customers. This paper considers a marketing problem where the supplier or manufacture provides different products for retail customers, of which some may sell well in the customer segments and some may not. Products that are not sold will be return back to the supplier. In recent years, decision-making problems have received much attention due to a wide range of real world applications. We are implementing a new approach using big data tools which can provide better decision making strategies and improve the online retail marketing.