{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T03:13:25Z","timestamp":1648523605458},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2020,11,9]],"date-time":"2020-11-09T00:00:00Z","timestamp":1604880000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,11,9]]},"abstract":"<jats:p>With the popularization of informatization, most companies have their own information management systems. However, faced with massive amounts of data, most companies cannot integrate and utilize its potential value. When traditional companies make sales forecasts, they usually purchase data completion, connect multiple data source channels, and then judge the future sales situation perceptually. This lack of data accumulation and analysis, and it is impossible to display the intrinsic value of the massive data in the system. Some companies will also build professional data analysis teams or seek help from third-party companies. But this will cause high expenses and greatly reduce sales expenses. This study combines artificial intelligence technology with ERP sales management system. We apply artificial intelligence, machine learning, cloud computing to the design and construction of intelligent ERP sales management system. It solves the core problems of enterprise product sales through the deep learning function of the sales system. It may predict enterprise sales and rationally allocate enterprise resources, increase product sales effectively, and help enterprises build effective modern management systems.<\/jats:p>","DOI":"10.3233\/faia200720","type":"book-chapter","created":{"date-parts":[[2020,11,10]],"date-time":"2020-11-10T17:59:33Z","timestamp":1605031173000},"source":"Crossref","is-referenced-by-count":0,"title":["The Design of ERP Intelligent Sales Management System"],"prefix":"10.3233","author":[{"given":"Jianghui","family":"Liu","sequence":"first","affiliation":[{"name":"Network and Information Center, Experimental Teaching Center, Guangdong University of Foreign Studies, China"}]},{"given":"Qiuyi","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Business, Guangdong University of Foreign Studies, China"}]},{"given":"Yuexing","family":"Qiu","sequence":"additional","affiliation":[{"name":"School of Economics and Trade, Guangdong University of Foreign Studies, China"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Fuzzy Systems and Data Mining VI"],"original-title":[],"link":[{"URL":"http:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA200720","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,10]],"date-time":"2020-11-10T17:59:33Z","timestamp":1605031173000},"score":1,"resource":{"primary":{"URL":"http:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA200720"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,9]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia200720","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,11,9]]}}}