Font Size: a A A

The Design And Implementation Of Mobile Phone Sales Forecast System

Posted on:2017-04-04Degree:MasterType:Thesis
Country:ChinaCandidate:C L MaFull Text:PDF
GTID:2428330569985032Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of mobile Internet,smartphone is also as the Internet boom as an important terminal connected to the mobile Internet.Smartphone vendors are also rapid development,and with the fierce competition in the various manufacturers,reasonable control of the supply chain hardware preparation for cost control to improve competitiveness is very important to the manufacturer.Forecast product sales based on historical sales by computer technology.It will provides an guidance with objective reference data to mobile phone manufacturer in the supply chain management.The system divide historical sales data by attributes such as brand,gear,pattern classification,and according to the time series forecasting model of ARIMA and Holt-Winters to establish the prediction model.The system adopts B/S structure.The front of the system use JSP + JS implement interactive page.And it use Echarts to realize the graphical.The business processing of this system is realized by JavaEE.And it use Mysql as a database for data management and persistence.The core of this system is prediction algorithm with historical data.It use R language to realize the prediction algorithm.The system is divided into historical data import and query module,create model prediction module,the type attribute analysis module,history capacity analysis module,historic capacity prediction module,brand share analysis module,prediction models share forecast module,display module and so on.The system used for SpringMVC + Mybatis to simplify the development.And it calls the crawler in the type attribute analysis technology to obtain the data information.It keeps the data in the process of forecasting,and in the final prediction results summary all forecasts for final prediction results and export the results.The system forecasts sales of the new model through the time series prediction algorithm.The supply chain management will be more effective and reasonable by the forecast results.
Keywords/Search Tags:Mobile phone sales forecast, Time series, Forecasting model, Supply chain
PDF Full Text Request
Related items