Enhance Enterprise Resource Planning Using Machine Learning Techniques | ||
| المجلة العلمية للبحوث والدراسات التجارية | ||
| Volume 39, Issue 3, September 2025, Pages 1283-1313 PDF (589.04 K) | ||
| Document Type: المقالة الأصلية | ||
| DOI: 10.21608/sjrbs.2025.391856.2023 | ||
| Authors | ||
| إيفانا ريمون رمزي يسي* 1; شيماء عوف2; Yehia Helmy3 | ||
| 1كليه تجاره جامعه حلوان | ||
| 2قسم نظم معلومات الأعمال - كلية التجارة وإدارة الأعمال - جامعة حلوان | ||
| 3قسم نطم المعلومات, كلية التجارة وادارة الاعمال, جامعة حلوان | ||
| Abstract | ||
| In recent years, there has been a strong tendency by companies to use centralized management systems like Enterprise resource planning (ERP). ERP systems offer a comprehensive and simplified process managements and extensive functional coverage. ERP enables the organization to store, and manage their data. Using machine learning will enable the organization to analyze the data to get the right decisions and gain valuable insights that were previously unmanageable. Sales management module is an important element business management of ERP. Future sales forecasting is a crucial component of every organization. Using machine learning in sales projections let companies analyze historical scenarios and then predicting future sales. Before budgeting, inferences are used to detect shortfalls and weaknesses, as well as to construct a good strategy for the following year. A detailed knowledge of past sales data permits the plan for future sales that aim to set the sales target to give a better result and establish sales performance goals | ||
| Keywords | ||
| ERP; Machine Learning; Sales; Forecasting | ||
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