The month of Ramadan represents a unique period for shopping and consumption of food products and various services, during which consumer purchasing behavior noticeably changes compared to other months of the year. Analyzing consumer behavior during this period involves collecting large datasets from both online and traditional markets, including purchase times, product preferences, purchase quantities, payment patterns, and the influence of social, cultural, and religious factors on consumer decisions. Predictive artificial intelligence models are used to process this data, enabling algorithms to identify recurring patterns and forecast future demand, helping companies and suppliers improve marketing strategies and manage inventory effectively. These models also allow the study of the impact of different advertising campaigns on consumers and determine the most successful strategies for reaching target audiences. Through machine learning and predictive analysis, preferences of different customer groups, including age and social segments, can be recognized and customized offers provided to meet individual needs, enhancing customer experience and satisfaction. Additionally, these analyses can predict the most demanded products, reduce market waste, and optimize resource distribution, thereby increasing economic efficiency in the commercial sector during Ramadan. This type of analysis also contributes to understanding the impact of economic and social changes on consumer behavior, offering valuable insights to researchers and decision-makers. Technically, predictive models require accurate data collection, consistent processing, and appropriate algorithm selection, such as deep neural networks, random forests, and regression predictive models, to ensure prediction accuracy. Integration with text analysis and social media interactions can further provide insights into consumer reactions to different products and services. Overall, this analysis represents a practical and intelligent use of AI to gain a deep understanding of consumer behavior, enhance strategic planning for businesses, and deliver a better experience to customers while maximizing available resources during the Ramadan season.