Sale Pattern

Sale pattern analysis focuses on understanding and predicting sales trends across various domains, from retail and e-commerce to healthcare and utilities. Current research emphasizes leveraging machine learning, particularly ensemble methods and graph neural networks, to improve forecasting accuracy, especially in scenarios with limited or noisy data, such as peak sales periods or those impacted by external events. This work is crucial for optimizing inventory management, resource allocation, and pricing strategies, ultimately leading to improved efficiency and profitability across diverse sectors. Furthermore, advancements in anomaly detection are improving the identification of unusual sales patterns, aiding in fraud detection and market analysis.