Shopping Mall Experience Over E-commerce Websites Using Beacon Technology and Data mining Algorithms
Manali Gaikwad, Prof. Manish Umale (Guide)
PG Student, Lokmanya Tilak College Of Engineering, Navi Mumbai, Maharashtra, India.
Abstract:
The dramatic change in shopping experience over the past few decades presents many challenges to the retailers. In this technology can play an important role in enriching the shopping experience for the customers and help increase the sales of the retailers. In this paper an innovative method for doing the same is proposed. In this proposed system, customers are tracked using beacons that are set up in the retail shops and personalized discounts are offered to the customers based on their shopping patterns and purchase histories. The smartphone application detects the location of the customer inside the shop using Bluetooth Low Energy (BLE) signals emitted by the beacons and the information is then sent to the server for processing. The server then sends personalized offers to the customer. A Beacon is commonly a little Bluetooth Low Energy (BTLE, Bluetooth 4.0) gadget that can be controlled by a coin cell, batteries or through an outer power supply. Beacon is expertise in identifying proximity and can be used in business areas for various information. The data which beacons transmit will be in the form of packets and relevant Smartphone can take up the data which is transmitted. In the proposed system the customer will receive the notifications and services provided by the vendor when he passes near the store/mall, thus providing the customized advertisement service to the user. This paper review beacon technology in the aspects of its roles, merit and demerit.
Keywords: Beacon technology, Cluster analysis, Data management systems, Electronic commerce, Internet of things and Unsupervised learning
