Enhancing Sales Forecasting Accuracy through Integrated Enterprise Resource Planning and Customer Relationship Management using Artificial Intelligence

Authors

  • Dmitry Ivanov Novosibirsk State University, Russia
  • Anna Petrova Novosibirsk State University, Russia

Abstract

This paper explores how integrating Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM) systems with artificial intelligence (AI) can significantly enhance sales forecasting accuracy. By combining ERP and CRM systems, businesses can unify their sales data, improving the quality and comprehensiveness of the information used for forecasting. AI techniques, such as machine learning models, predictive analytics, and natural language processing, further refine this process by analyzing large datasets and uncovering patterns that traditional methods might miss. The paper discusses the current challenges in sales forecasting, the benefits of AI integration, and practical implementation strategies, providing a comprehensive framework for improving forecasting accuracy and business decision-making.

Downloads

Published

2024-07-22

Issue

Section

Articles