Model of the new sales planning optimization and sales force deployment ERP business intelligence module for direct sales of the products and services with temporal characteristics
{"title":"Model of the new sales planning optimization and sales force deployment ERP business intelligence module for direct sales of the products and services with temporal characteristics","authors":"M. Velic, Ivan Padavic, Z. Lovric","doi":"10.2498/iti.2012.0379","DOIUrl":null,"url":null,"abstract":"Considering that direct sales today has significant share in the whole sales niche and that existing travelling salesman problem solutions still do not provide a comprehensive resolution for sales force deployment when selling products and services with temporal or periodic recurring, here we present a new method that combines business intelligence and easy-to-use graphical user interface to give the answers. Module is self-learning due to implemented statistics with tendency for more accurate sales predictions as time goes by. Presented model is applicable in various industries like telecommunications, finance, pharmaceuticals etc. and capable of solving large-scale real-world problems in real time.","PeriodicalId":135105,"journal":{"name":"Proceedings of the ITI 2012 34th International Conference on Information Technology Interfaces","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ITI 2012 34th International Conference on Information Technology Interfaces","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2498/iti.2012.0379","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Considering that direct sales today has significant share in the whole sales niche and that existing travelling salesman problem solutions still do not provide a comprehensive resolution for sales force deployment when selling products and services with temporal or periodic recurring, here we present a new method that combines business intelligence and easy-to-use graphical user interface to give the answers. Module is self-learning due to implemented statistics with tendency for more accurate sales predictions as time goes by. Presented model is applicable in various industries like telecommunications, finance, pharmaceuticals etc. and capable of solving large-scale real-world problems in real time.
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