Pages:46-59

Juideepa Das, Prof. Varsha Babar

DOI: https://adypsoe.in/adypjiet-journal/Artical-14-2025-04-20

The unification of Artificial Intelligence (AI) in (ERP) Enterprise Resource Planning Systems has the ability to transform business operations by enabling intelligent data processing, predictive analytics, and automation. One of the major challenges faced by modern ERP applications is the seamless synchronization of large volumes of data across diverse sources in real time. This paper focuses on addressing the data synchronization problem within ERP systems using AI-driven solutions. By leveraging AI techniques, particularly real-time data extraction and synchronization mechanisms, the proposed system can aggregate and harmonize data from numerous sources such as databases, Application Programming Interface. The AI-powered ERP system will ensure real time data synchronization, high throughput and accuracy in data consolidation, leading to enhanced decision-making, operational efficiency, and reduced manual intervention. Furthermore, this solution will enable predictive insights into business processes, facilitating proactive strategies based on modern and recent information. This paper highlights the use of federated learning for live data synchronization and predictive analytics, creating a robust, scalable, and intelligent ERP ecosystem.