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) |
Files in This Item:
File | Description | Size | Format | |
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18MCEN08.pdf | 18MCEN08 | 1.85 MB | Adobe PDF | ![]() View/Open |
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