Hilton's properties had been using different tools for Revenue Panning and Management, across the globe, making it very difficult for the corporate office to collate and analyze information in different formats & currencies. Hilton wanted eDynamic to devise a solution that would:

• Introduce a common platform that would streamline and standardize Revenue Management systems across all the properties worldwide
• Help maximize revenues and profits by demand forecasting and optimization of pricing and inventory
• Help determine the most effective way to price and allocate inventory
• Serve as a decision-support resource for marketing and operational functions

Solution
eDynamic conceptualized, designed and implemented a customized Total Revenue Planning System for Hilton. Here is a brief description of the solution:

• Allows the managers to input figures for all the revenue generating profiles -Lodging, Outlets, Events and Facilities. It further generates comprehensive MIS reports that help assess revenue generation capabilities and budgeting requirements of the hotel.
• Enables the revenue managers of each hotel to forecast, budget, and compare variances for various Key Performance Indicators (KPI’s) like revenue and volume.

During the first phase of implementation, the tool included data entry screens for the various profiles and basic level reporting based on the data entered. The second phase includes advanced reporting (variances, forecasting accuracy), data migration interface with Fidelio, the Property management System used by Hilton that runs over the Sun OS. It also includes a SMART Action Plan module which allows the Hotels to conduct individual property level SWOT analysis, build strategies and action plans to implement the results of the tool. The application has been developed in MS Visual Basic .Net with MS SQL Server 2000 as the backend.

Results
This TRP (Total Revenue Planning) System for Hilton International offers a state of the art tool that helps revenue managers better understand their markets, pro-actively react to changes and forecast better. It helps them analyze historical data and forecast future behaviour - an invaluable input while planning marketing campaigns, pricing strategies and schedule changes.