Synthetic data can be generated using generative AI techniques to simulate realistic shopping data, such as customer demographics, shopping preferences, purchase history, and behavior in a retail store. By using synthetic data, retailers can train and test their machine learning models without compromising customer privacy or violating data protection laws.