Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/8656
Title: Brand Analysis from Perspective of a Retailer User
Authors: Viroja, Ruhi
Keywords: Computer 2016
Project Report 2016
Computer Project Report
Project Report
16MCE
16MCEC
16MCEC30
Issue Date: 1-Jun-2018
Publisher: Institute of Technology
Series/Report no.: 16MCEC30;
Abstract: The project aims at protecting brand integrity and enable brand owners to collaborate with their supply chain in the sourcing, development, marketing, and quality control of their products using a scalable suite of integrated modules. This service is a suite of modules specifically designed for grocery retailers, restaurants, food service and manufacturers. It enables detailed capture of conformance during the sourcing and selection of suppliers and their manufacturing plants. As products are developed, Oracle Retail Management Service audits and manages all aspects of the product specification, creating accurate and certified labeling detail against local regulative and industry policies. To ensure the continued safety of their products, Oracle Retail Management Service offers a range of quality inspection and trace-ability solutions to check and test each product during production, delivery and shelf life. The solution quickly allows brand owners to respond to product or industry incidents ensuring continued consumer trust in their brand. Built on industry best practice advisory and supplier engagement programs to ensure adoption and continued fit for purpose. Every company should develop the best quality products at reasonable prices. The role of supplier s is very important here. Based on their capabilities, the production rate is dependent. So the selection of the suppliers must be done in proper way. So in this project the supplier performance is evaluated by implementing new functionality called Scorecards into the existing product. Scorecard enables the retailer to ask questions to suppliers and review them by commenting on that. The supervised machine learning techniques are used to extract the sentiments of the text and at the end, the supplier performance is calculated.
URI: http://10.1.7.192:80/jspui/handle/123456789/8656
Appears in Collections:Dissertation, CE

Files in This Item:
File Description SizeFormat 
16MCEC30.pdf16MCEC30954.01 kBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.