Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/9555
Title: Retail Analytics Automation
Authors: Mehta, Keta
Keywords: Computer 2018
Project Report 2018
Computer Project Report
Project Report
18MCEN
18MCEN08
NT
NT 2018
CE (NT)
Issue Date: 1-Jun-2020
Publisher: Institute of Technology
Series/Report no.: 18MCEN08;
Abstract: Retail business has a huge volume of data like sales data, customer data, promotion data, store data. In today's ambitious world for the preservation and extension of a business, the retailer needs to keep up and monitor their information. Retail Analytics is a combination of two terms: Retail which means selling and Analytics which means making a green choice. Retail Analytics is used to handle unstructured data of the retailer in a structured manner. This structured data is being applied for more analysis to make business decisions. Retail Analytics can be used by a retailer of any size for tracking and analyzing data. For analysis, it uses historical and current data. By using customer purchase pattern it generates customer segments, based on customer comments identifies whether a customer is preferring a product or not.
URI: http://10.1.7.192:80/jspui/handle/123456789/9555
Appears in Collections:Dissertation, CE (NT)

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