This Guidance demonstrates how airline companies can use data analysis and new artificial intelligence and machine learning (AI/ML) capabilities to dynamically adjust pricing and personalize product offerings for their customers. In the travel and hospitality industry specifically, organizations want to optimize their pricing strategies. And with a business climate that’s constantly shifting, dynamic pricing is uniquely valuable to help companies increase personalization, adjust pricing, and offer products with new AI/ML capabilities. With dynamic pricing, airlines can increase sales and profit margins while maintaining customer satisfaction. The AI/ML services in this Guidance can also be trained to generate incremental revenue and prevent revenue dilution.
