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Table 2 Functionalities enhanced by ML algorithms and ERP integration

From: Machine learning-driven optimization of enterprise resource planning (ERP) systems: a comprehensive review

Functionality

Methodology

ML algorithm

Demand forecasting [39]

Time-series analysis, deep learning models

LSTM

Predictive maintenance [30]

Sensor data analysis, predictive modeling

Random forest, LSTM, decision trees

Supply chain optimization [40]

Predictive analytics, optimization models

Genetic algorithms, Linear programming

Inventory management [41]

Demand forecasting

Reinforcement learning

Customer segmentation in CRM [2]

Clustering techniques, Customer behavior analysis

K-Means, Neural networks

Fraud detection [5]

Anomaly detection, pattern recognition

Isolation forest, Auto-encoders, One-class SVM

Production process optimization [17]

Reinforcement learning, Process simulation

Simulation models