Innovative ideas to improve shopping mall experience over E-commerce websites using beacon technology and data mining algorithms

The dramatic change in shopping experience over the past few decades presents many challenges to the retailers. 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.

[1]  Rajan Gupta,et al.  A Machine Learning Framework for Predicting Purchase by Online Customers based on Dynamic Pricing , 2014, Complex Adaptive Systems.

[2]  Alemayehu Molla,et al.  eCommerce adoption in developing countries: a model and instrument , 2005, Inf. Manag..

[3]  Chia-Sui Wang,et al.  Beacon applications in information services , 2016, 2016 International Conference on Advanced Materials for Science and Engineering (ICAMSE).

[4]  Kevin Bouchard,et al.  Features based proximity localization with Bluetooth emitters , 2016, 2016 IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

[5]  Nico Van de Weghe,et al.  Bluetooth tracking of humans in an indoor environment: An application to shopping mall visits , 2017 .

[6]  Dmitry Namiot,et al.  Geofence and Network Proximity , 2013, NEW2AN.

[7]  John A. Stankovic,et al.  Research Directions for the Internet of Things , 2014, IEEE Internet of Things Journal.

[8]  David R. Bell,et al.  Spatiotemporal Analysis of Imitation Behavior across New Buyers at an Online Grocery Retailer , 2010 .

[9]  Sudarshan S. Chawathe.  Low-latency indoor localization using bluetooth beacons , 2009, 2009 12th International IEEE Conference on Intelligent Transportation Systems.

[10]  R. Kerin,et al.  Store shopping experience and consumer price-quality-value perceptions. , 1992 .

[11]  Patrick C. K. Hung,et al.  Algorithms for automated negotiations and their applications in information privacy , 2004, Proceedings. IEEE International Conference on e-Commerce Technology, 2004. CEC 2004..

[12]  Stefano Chessa,et al.  A stigmergic approach to indoor localization using Bluetooth Low Energy beacons , 2015, 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

[13]  Mostafa Bellafkih,et al.  Bluetooth Low Energy (BLE) based geomarketing system , 2016, 2016 11th International Conference on Intelligent Systems: Theories and Applications (SITA).