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Development of a data analystics-driven system for instant, temporary personalised discount offers

dc.contributor.authorEls, Zandalineen_ZA
dc.contributor.authorBekker, Jamesen_ZA
dc.date.accessioned2020-02-27T12:58:40Z
dc.date.available2020-02-27T12:58:40Z
dc.date.issued2018
dc.identifier.citationEls, Z. & Bekker, J. 2018. Development of a data analystics-driven system for instant, temporary personalised discount offers. In SAIIE29 Proceedings, 24-26 October 2018, Spier, Stellenbosch, South Africa.
dc.identifier.urihttp://hdl.handle.net/10019.1/107551
dc.descriptionCITATION: Els, Z. & Bekker, J. 2018. Development of a data analystics-driven system for instant, temporary personalised discount offers. In SAIIE29 Proceedings, 24-26 October 2018, Spier, Stellenbosch, South Africa.
dc.descriptionThe original publication is available at https://conferences.sun.ac.za/index.php/saiie29/saiie29/schedConf/presentations
dc.description.abstractThe innovation of targeting customers with personalised discount offers has been incorporated into business strategies in order to ensure a competitive advantage amongst peers along with ensuring customer experience. In this article, a demonstrator model was developed which provides a holistic view of an individual customer’s behaviour in retail outlets. The demonstrator creates instant, temporary personalised discount offers based on the purchasing tendencies of that customer in retail outlets. The model illustrates the utilisation of customer behavioural data and data analytics to identify unique cross-selling and upselling opportunities to ultimately improve customer experience. This article also includes the architecture of the proposed model along with the results from the demonstrator model.en_ZA
dc.description.urihttps://conferences.sun.ac.za/index.php/saiie29/saiie29/paper/view/3577
dc.format.extent14 pages
dc.language.isoen_ZAen_ZA
dc.publisherSouth African Institute for Industrial Engineering
dc.subjectInnovationen_ZA
dc.subjectQuantitative researchen_ZA
dc.subjectConsumers -- Behavioren_ZA
dc.subjectCustomer servicesen_ZA
dc.subjectDiscount -- Mathematical modelsen_ZA
dc.subjectPersonalized discount offersen_ZA
dc.titleDevelopment of a data analystics-driven system for instant, temporary personalised discount offersen_ZA
dc.typeConference Paperen_ZA
dc.description.versionPublisher's version
dc.rights.holderAuthors retain copyright


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