Users can share their opinion visiting a restaurant or a hotel by Online Generated Reviews OGRs on platforms such as TripAdvisor Booking or Yelp. Put all together they are thousands of sentences which are quite difficult to seize for a human and to get a comprehensive opinion of the location. This study proposes a Decision Support System DSS composed of three modules extraction of information from TripAdvisor comments summarizing and rating. Compared to prior Research our solution proposes a Neural Network Transformer-based system to summarize and rate thousands of TripAdvisor comments. Our results are bifold. First the analysis of massive comments downloads reveals a bias between the real customer experience based on verbal opinions and the ratings scored in stars. Second we present and online host a DSS which provides a summary of customer experiences per hotel. For Research in Tourism and Hospitality it represents a new milestone in the artificial Intelligence journey and an application of Generative Pretrained Transformer GPT model. For operation Managers it is a novel application of the use of artificial intelligence to embrace the digital revolution. Indeed it helps to determine what customers value most and determine adequate action plan to business requirements.