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Paper Details
Paper Title
Buyer's Prediction For Mall Outlets
Authors
Shraddhaa Dhuri, Rahul Yadav, Niranjan Salunke, Deepali Shrikhande
Abstract
The study of consumer behavior helps everyone as all are consumers. It is essential for marketers to understand consumers to survive and succeed in this competing marketing environment. When a consumer has an unfulfilled need, the buying process begins to fulfill the needs. The need may be activated by internal or external factors. The intensity of the need will indicate the speed with which a person will move to fulfill the want. On the basis of need and its importance, forms the order of priority. Marketers should give required information about selling points. Customer Relationship Management systems are used to allow organizations to gain new customers, establish a continuous relationship with them and increase customer confiscation for more profitability. Now-a-days, consumers have become more interested in the quality of service (QOS) that organizations can deliver. Services provided by various vendors are not highly distinguished which increases competition between vendors to maintain and increase their service. CRM systems use machine-learning to analyze customer’s individual and behavioral data to give an organization a competing advantage by increasing customer confiscation rate. Those models can predict consumers who are awaited to churn and reasons of churn. Predictions are used in making targeted marketing goals and service offers.
Keywords- Machine Learning, Prediction, Classification, Data Mining, Data Extraction.
Publication Details
Unique Identification Number - IJEDR2002018Page Number(s) - 94-101Pubished in - Volume 8 | Issue 2 | June 2020DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Shraddhaa Dhuri, Rahul Yadav, Niranjan Salunke, Deepali Shrikhande, "Buyer's Prediction For Mall Outlets", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.8, Issue 2, pp.94-101, June 2020, Available at :http://www.ijedr.org/papers/IJEDR2002018.pdf
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