Abstract
Nowadays, digital marketing has become an indispensable tool for companies to promote and sell high-quality products to cope with increasingly competitive markets. For these to be shaped according to the customer’s interests and preferences, technology has been pushed to evolve every day trying to keep up with high global demand. However, there is a particular problem in identifying and locating people in indoor spaces. Many applications were developed leveraging beacon technology that ranges from user’s localization and indoor navigation to personalized assistants that would assist in the decision-making process. This, however, is still an open problem due to the difficulty in creating scalable indoor navigation systems, that are independent of the physical plan, and lack of precision in the detection of the customer indoor position. This paper will disclose the possibility to develop an efficient, low-cost indoor navigation system that solves both problems. It proposes an improvement on the accuracy of customer-beacon proximity distance, and a plan-free navigation method is proposed which allows customers to travel from a position to a specific beacon. Moreover, we integrate this with the concept of proximity marketing to embed the system in a physical context, focused on product promotions to increase customer loyalty.
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Acknowledgements
This work is funded by National Funds through the FCT—Foundation for Science and Technology, I.P., within the scope of the project Ref. UIDB/05583/2020. Furthermore, we would like to thank the Research Centre in Digital Services (CISeD) and the Polytechnic of Viseu for their support.
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Lima, M., Morgado, J.F., Duarte, R.P. (2022). Low-Cost Embedded System for Customer Loyalty. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 216. Springer, Singapore. https://doi.org/10.1007/978-981-16-1781-2_67
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