Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/7968
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dc.contributor.authorBhatt, Birva-
dc.date.accessioned2018-10-24T04:48:00Z-
dc.date.available2018-10-24T04:48:00Z-
dc.date.issued2018-05-01-
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/7968-
dc.description.abstractRPAS stands for Retail Predictive Application Server. It is used in the retail industry to forecast the current market trends based on the previously known data. It is basically a platform which provides the infrastructure needed to process and produce information based on the input provided by the retailer. In basic terms, it helps in planning of inventory by analyzing the customer needs and behaviour and minimize the stock wastage due to improper planning. This project focuses on a Cloud based Client application for RPAS. It acts as an interface between RPAS and users, and provides various functionalities which include creation of workbook, projecting the data in graphs, alerts etc. The areas of Cloud based Client covered in this project are Online Administration Tools, Dynamic Hierarchy, Po- sition Filtering, Export Images to Excel and Edit View Overlay. These modules have been implemented in Cloud Client for enhancing the customer experience on cloud. The other area of Cloud Client that is covered is Automation Testing of Cloud Client UI using Synergy.en_US
dc.language.isoenen_US
dc.publisherInstitute of Technologyen_US
dc.subjectComputer 2016en_US
dc.subjectProject Report 2016en_US
dc.subjectComputer Project Reporten_US
dc.subjectProject Reporten_US
dc.subject16MCEen_US
dc.subject16MCECen_US
dc.subject16MCEC01en_US
dc.titleNext Generation Retail Planning Application for Clouden_US
dc.typeDissertationen_US
Appears in Collections:Dissertation, CE

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