Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/413024
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dc.date.accessioned2022-10-17T06:13:34Z-
dc.date.available2022-10-17T06:13:34Z-
dc.identifier.urihttp://hdl.handle.net/10603/413024-
dc.description.abstractThis research work explores the efficacy of applying new-age artificial intelligence newlinetechniques in some of the critical areas which marketers face constantly viz. newlineforecasting, segmentation and customer loyalty. newlineFor long these tasks have been traditionally tackled through application of conventional newlinestatistical techniques like time series modelling with Autoregressive Moving Average newline(ARMA) and Linear/Logistic Regression. newlineThis research attempts to apply machine learning and artificial intelligence techniques newlinelike Artificial Neural Networks (ANNs) and its variants and Self-Organising Maps newline(SOMs) and Support Vector Machines (SVMs) to achieve desired results. newlineSome artificial intelligence techniques and models have been tested for speed and newlineaccuracy for three areas of marketing analytics viz. segmentation, forecasting and newlinecustomer loyalty. newlineThe premise here is that by virtue of applying this new-age artificial intelligence newlinetechniques we would be able to achieve better results and that too in quicker time.
dc.format.extentp 103-116, p 1-128
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleModelling of Sales Forecasting Segmentation and Customer Loyalty in E Commerce
dc.title.alternative
dc.creator.researcherTiwari, Raman
dc.subject.keywordEconomics and Business
dc.subject.keywordManagement
dc.subject.keywordSocial Sciences
dc.description.note
dc.contributor.guideGera, Rajat and Srivastava, Smriti
dc.publisher.placeFaridabad
dc.publisher.universityManav Rachna University
dc.publisher.institutionDepartment of Management and Commerce
dc.date.registered2016
dc.date.completed2020
dc.date.awarded2020
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Management and Commerce



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