Real-Time Acquisition of Buyer Behaviour Data – The Smart Shop Floor Scenario

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Abstract

The emergence of a range of new technologies like auto-identification devices, active tags, and smart items has impacted profoundly on business software solutions such as supply chain management, logistics, and inventory control. Integration of automatic data acquisition with enterprise applications as well as potential to provide real-time analytic functionality is opening new avenues for business process automation. In this paper, we propose a novel application of these technologies in a retailing environment leading to the vision of a smart shop floor. We firstly present the infrastructure for the smart shop floor. We then demonstrate how the proposed infrastructure is feasible and conducive to real-time acquisition of buyer behaviour data through three selected queries. Complete algorithmic solutions to each query are presented to provide proof of concept, and further deliberations on analytic potential of the proposed infrastructure are also provided.