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dc.contributor.advisor Premaratne, S
dc.contributor.author Kaluarachchi, JMK
dc.date.accessioned 2017-11-28T13:33:02Z
dc.date.available 2017-11-28T13:33:02Z
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/12909
dc.description.abstract OREL group was established in 1991. At the started they were deeply into home electrical and providing lighting solutions for companies. After years of experience OREL Corporation enhances to 12 businesses. Now, Orange Electric has become a formidable force in the electrical industry in Asia and it is also the flagship brand of THE OREL CORPORATION. Using POS relief data (POS) manufacturer can realize the demand for products and improve demand analysis. Sales analysis is the way of estimating future sales. The sales analysis period can be annually, monthly, weekly, daily, area wise, dealer wise, district wise, product wise, and occasional wise. With accurate sales analysis, companies can make informed business decisions and predict short-term and long-term performance. Companies can make predictions based on historical sales data, industry-wide comparisons, and economic trends. It is easy for existing companies to predict future sales based on past business data over the past few years. Newly established companies need to make predictions based on unverified information such as market research to predict future business and competitive information. This research introduced a web base and stand-alone application solution for analysis day to day sales activities, analysis and sales process such as create Good received notes (GRN), accepts purchase orders, Invoicing, Return and Payment management, obtain analyzing reports. Analyzing and POS solution developed JAVA/SE, PHP and MySQL used for database. Develop this Solution research used Waterfall model. Currently this research design a sales analyzing solution. Revenue analyze provide insight as to how companies should manage employees, cash flows, and resources. In addition to enabling companies to effectively allocate internal capital, predictive sales data is important for companies seeking to acquire investment capital. With sales analyze, companies can predict achievable sales revenue, efficient allocation of resources & plan for future sales. en_US
dc.language.iso en en_US
dc.title Cloud based sales analysis system en_US
dc.type Thesis-Abstract en_US
dc.identifier.faculty IT en_US
dc.identifier.degree MSc in Information Technology. en_US
dc.identifier.department Department of Information Technology en_US
dc.date.accept 2017-06
dc.identifier.accno TH3395 en_US


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