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Property Optimizer for Lodging

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Project Detail

Airline schedules published to OAG provide the latest daily arrivals and departures at each airport. Collect future airline shopping trends and booking data from all possible data sources like Airline Reporting Corporation, 3Victors, and partner airlines.  Collect future lodging shopping trends and booking data for in-direct channels from all possible sources like STR and TravelClick. Use lodging booking engines as a source of shopping trends for direct booking. Collect property data, booking, and stay data from the central reservations system (CRS), and property management system (PMS). Use AWS Glue and Amazon EMR to discover, catalog, process inputs, and create the processed data in Amazon S3. These services process batch data to create PARQUET format for all the data. Lodging and flight data is combined to create accurate forecasts and to create regional and property level forecasts. Use Amazon Forecast to create AI/ML based forecasting based on historical recovery data. Visualization and reports are provided using on-demand Amazon Athena and Amazon QuickSight. For standardized recovery reports, use Amazon Redshift to create data marts. Optionally, build a configuration dashboard with microservices using Amazon API Gateway, AWS Lambda, and Am

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Property Optimizer for Lodging