A Dual-Mode Intelligent Shopping Assistant

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Provided by: AICIT
Topic: Big Data
Format: PDF
Radio Frequency IDentification (RFID) promises to enable an automatic collection of shopping data for business intelligent purposes. Three important components of intelligence have been identified for systems; ability to predict, ability to adapt and ability to take appropriate action. While extensive research has been done on shopping assistants and the use of RFID in the grocery industry, there is still a lack of insight into the benefits of processing shopping data within a Business Intelligence (BI) infrastructure and the components of intelligence. This paper presents iShopper, an intelligent dual-mode shopping assistant.
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