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Revenue Management Analytic Platform for Hotels and Hospitality Companies

Hospitality companies need to maximize revenue from available inventory, as well as measure and predict the value of customers. SAS analytic capabilities are helping revenue management executives around the globe:

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  • Drive higher occupancy rates.
  • Increase revenue per available room (RevPAR).
  • Possess greater insight on guest behavior, trends and travel needs.
  • Maximize revenue by accurately forecasting demand and developing price optimization models for adjusting price and inventory availability.
  • Optimize usage and scheduling of resources.
  • Boost customer loyalty and satisfaction.
SAS' capabilities for revenue management include:
  • Data integration – Easily combine disparate guest information from siloed operational systems (including reservations, guest loyalty, food and beverage, property management, activities management and retail), in order to segment guests by customer worth, booking trends and other relevant business patterns. SAS helps to provide a total guest view for more effective business insight, including guests' preferences, likelihood to respond to promotions and travel trends.
  • Room/cabin and resource forecasting – Achieve highly accurate unconstrained and constrained room or cabin forecasting for both group and transient demand, conversion rate, retention rate, price elasticity and dilution by customer segment. This includes forecasting cancellations and no-shows. SAS also helps to forecast staffing and to optimize resources needed to properly serve the forecasted guest demand.
  • Price sensitivity analysis – Analyze pricing to identify customer-specific buying behavior; to evaluate pricing history and performance; and to perform pricing optimization by using recommended pricing based upon dynamic market conditions, competition and profitability implications.
  • Reporting and business intelligence – Exploit this vital information with high-end reporting and data visualization tools including performance dashboards so that information can be shared across the enterprise among guest-facing personnel, decision makers and business analysts, to name a few.

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