Utilizing Predictive Insights from CRM Data to Improve Enterprise Sales Forecasting Accuracy
Keywords:
CRM Analytics, Predictive Modeling, Sales Forecasting, Enterprise Systems, Machine Learning, Data-Driven StrategyAbstract
Enterprises today increasingly rely on data-driven decision-making to maintain competitive advantage. One critical area is sales forecasting, where traditional approaches often lack agility and precision. This research explores how predictive insights extracted from Customer Relationship Management (CRM) systems can enhance sales forecasting accuracy in large organizations. By integrating machine learning techniques and historical CRM data, companies can improve demand estimation, revenue planning, and strategic allocation of resources. This paper investigates various modeling approaches, reviews relevant literature, and proposes a layered architecture for deploying predictive analytics within CRM frameworks.
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Copyright (c) 2026 Seun Nwosu (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
