SAS® Revenue Management and Price Optimization Analytics for Hospitality and Travel
Forecast demand to optimize pricing
Benefits
- Highly accurate, detailed forecasts to support better pricing decisions.
- Pricing strategies that maximize revenue and market share.
- Competitive advantage from pricing analytics that are tuned to your business challenges.
- Focus on building pricing strategies that outpace the competition, not manipulating data.
Features
- Unconstrained demand
- Model and forecast revenue management demand
- Optimize price and inventory
- Network optimization
" Previously, we spent 80 percent of our time pulling data from disparate systems. Now, with SAS, we're spending about 95 percent of our time making business decisions on assigning the right value to inventory."
— Srinidhi Melkote
Director of Analytics, Wyndham Exchange and Rentals
How SAS® Is Different
- Highly flexible analytics. SAS Revenue Management and Price Optimization Analytics can be applied where other companies' off-the-shelf solutions just don't fit, resulting in a single tool that solves a broad range of pricing and revenue management problems – pricing for rooms, shows, packages, cabins, etc.
- Legacy client integration. Only SAS provides the opportunity to use the latest analytic technology while minimizing disruption to your operations by allowing you to integrate the product into your current systems.
- High-performance forecasting. The industry-leading SAS forecasting engine automatically identifies the best forecasting model and optimizes parameters for it on a location-by-location, segment-by-segment basis, resulting in better forecasts, which lead to revenue improvements.
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Pricing and inventory control integration. While other solutions perform these activities separately, we integrate them so that your decisions are fully informed and in sync (and therefore truly optimal), resulting in improved revenue.
Benefits
- Highly accurate, detailed forecasts to support better pricing decisions.
Our forecasting engine dynamically selects the most appropriate forecasting method from multiple methods using automated pattern recognition to ensure accuracy with the right level of detail.
- Pricing strategies that maximize revenue and market share.
Simultaneous application of innovative price, yield and hybrid models means that all your demand streams are managed correctly. Overbooking is included in the optimization model, minimizing unused inventory while maintaining accurate pricing. Price sensitivity of demand and competitive pricing effects are taken into account, within the analytics, instead of post-process.
- Competitive advantage from pricing analytics that are tuned to your business challenges.
Our product allows for client-specific configuration within a robust, cutting-edge analytic engine. You get the advantage because your unique operating conditions are taken into consideration. Flexible deployment options mean minimal disruption for your operations with maximum revenue returns.
- Focus on building pricing strategies that outpace the competition, not manipulating data.
Our flexible analytics allow you to include whatever data you think might be relevant to your pricing. This means less time spent on data manipulation and more time for strategy and decision making.
Features
- Unconstrained demand
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- Models historical sales data to identify underlying demand that could not be captured or satisfied due to insufficient inventory, inventory controls or pricing.
- Provides a complete picture of all of the available demand in the market.
- Allows you to fill your limited capacity with the most valuable customers.
- Model and forecast revenue management demand
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- Includes advanced demand models tailored specifically to hospitality and travel applications.
- Takes into account both time-series components and price effects, including your competitors' price positions.
- Automatically modeled in detail to provide support for price and inventory optimization across inventory types, market segments, length of stay, etc.
- Optimize price and inventory
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- Allows you to support a broad variety of industries and data scenarios.
- Calculates bid price – the optimal minimum value of reservations to be accepted for a given inventory class (e.g., room, cabin or car class).
- Calculates optimal price selection for each product in an inventory class for each future time slot (arrival day, departure, sail date, etc.).
- Network optimization
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- Accounts for upline and downline effects – consuming inventory on one flight, occupancy date or sailing affects your ability to sell to another customer who might be staying through or connecting through.
Screenshots
System Requirements
Supported platforms:
- Windows 7 x64 Professional, Ultimate
- Enterprise Windows server 2008 x64 AIX 6.1
- AIX 7.1 HP-UX PA-RISC 11.31
- LINUX 64-bit Red Hat Enterprise Linux 6
- Suse SLES 11 Solaris x64 11 Solaris SPARC 11
System/memory requirements:
Each implementation will require a sizing assessment for:
- The volume of transactional data which needs to be processed.
- The type of processing based on how solutions are developed using SAS Revenue Management and Price Optimization Analytics.
Required software:
SAS Revenue Management and Price Optimization Analytics requires:
- One of the operating systems listed above.
- The appropriate RDBMS client for the SAS/ACCESS® solution that was licensed as part of the SAS Revenue Management and Price Optimization Analytics bundle.
Ready to learn more?
Call us at 1-800-727-0025 (US and Canada) or request more information.
