Tuesday, January 25, 2011

Revenue Management Is A Sign Of Success


Nitty-gritty of Revenue Management

Revenue management first noticed and accepted by the airline industry. Many travel and hospitality companies have been focused to the "adapt or perish" hymn while moving towards revenue management. Today, revenue management processes and systems are implemented in number of industries, including manufacturing, advertising, energy, hi-tech, telecommunications, car rental, cruise line, railroad and retail. In the future, companies that ignore revenue management will be at a serious disadvantage.

Actually, revenue management is the concept of adopting the number of implementation of emerging and changing business strategy to revenue management, where you can generate additional revenue from 3% to 8 % and it resulting in possible profit increment of 50% to 100%.

Revenue Management is the application of exercised strategy that estimates consumer behavior at the micromarket level and make the most of product availability and price to maximize revenue growth. Revenue Management is about optimizes revenue from offered business.

Revenue Management is a solid management science that utilizes statistical and mathematical concepts, based on operations research and management science methodology and tools in changing marketing environment to provide information to:

. Precisely review prospecting consumer behavior under dynamically changing market environment
. Establish the most effective way to price and assign inventory to reach and every prospecting consumer, each and every day, formulate real-time modification as market conditions change, with the consumer in real-time
. Convey this information immediately to distribution and sale outlets which deal with the consumer in real-time
. Work as a decision-support reserve for marketing and operational purpose, containing but not restricted to: pricing, product development, advertising, sales, scheduling, distribution, human resource utilization and capacity planning.

Businesses worldwide are going under remarkable pressure by having giant capital investments occupied to their capacity/resources up to bottom line and to optimizing and recovered revenues from their fragile capacity, products and/or services. So, what can be done to execute RM effectively is very important.

How to reduce the execution pains and optimize the benefits?

In fast changing supply and demand circumstances, how do you handle your resources and price your products and services? The challenges are find out the following:

. How do you predict requirement for distinct products and services?

. How do you assign and set aside the capacity/resources for high revenue/profit customers and products?

. How do you optimize capacity employing as well as revenue realization?

. How do you rework capacity/resource allocations set up on demand on a customary basis to optimize revenues?

. How do you maximize overbooking to lessen service failures costs?

. How do you distinguish product arrangement to maximize revenues?

. How do you chase surplus capacity and propose discounts at the right time to speed up demand without mitigate revenues.

. At what time you change capacity/resources to compete long-term supply and demand?

Adopting the right method of revenue management

From a CEO's point of view, revenue management is serious as it allows companies to successfully direct the challenges of supply, demand and other issues. Revenue management is a course of action and method brings in to order a company, provides it a strategic benefit over the competition by allows the company to sell the "right product to the right customer, at the right price, at the right time." Revenue management strategies stable the tradeoffs amid revenues, capacity utilization and service failures. Revenue management has been shown in many purposes to offer strategic, competitive and financial rewards.

Revenue management systems and processes can provide marvelous strategic return. By implementing revenue management systems and processes, American Airlines observed more than a billion dollars in incremental annual revenues after airline deregulation.

Though RM concept is very simple but execution of revenue management systems has kept very difficult. The availability of current RM system are either in-house or vendor-related and are very costly and time intensive to put into practice and very complex to use in which they upset the processes and people during and after execution.

Unluckily, revenue management execution and applicability have not been focused appropriately and stay behind with two of the biggest obstruction for companies to entirely assign to and profit from such systems. Many users of current systems have objection about the "black box" method used in applying compound revenue management prediction and maximization models. There are many revenue management models available like hybrid class of revenue management, advanced pros revenue management system, Navitaire's Revenue Management System, Portal's Revenue Management System etc to achieve the additional revenue and are vary depending upon the industry in which it is applied. Before implementing a revenue management system any organization must study whether the methods can be useful in their business and the necessity in which, it can push further to develop.

Reducing the Execution Pain

So how do you reduce the pain related with revenue management execution and applicability? Here are some implications:

Open Systems (Internet, Intranet or LAN client/server platform): Companies should force collectively made to order Internet / Wireless application standards, protocols and platforms. By applying software and using open standards investment in IT infrastructure, it can be maintained and comprehended for long periods of time. Revenue management software should harmonize a company's accessible investment in the infrastructure. By leveraging accessible software/hardware/networking infrastructure, companies can reducing the cost of execution and prevent training or failure costs.

Framework flexibility: Components-based and completely integrated revenue management software solutions should be chosen and it should available with existing database and Web/application servers of software built on a flexible framework and can be easily integrated. To apply revenue management systems it should avoid monolithic proprietary systems that propose very little flexibility for ad-hoc decision support or future improvement and software that does not combine with the bequest systems well.

Execution of Phase: Revenue management includes composite estimation and maximization models. When executing such systems today, benefits cannot be completely grasped until all models are entirely incorporated. This could get cost of millions of dollars and more time. Companies should evade ideas that need two to three years and multi-million dollars. A phased approach that gives entry to essential revenue management metrics should be adopted. Although optimization models will be required to maximize supply and demand or maximize resource allotment, the real emphasis in first phase should be to make out and collect the precise data, obtain users comfortable with RM metrics, and apply and make small adjustment of forecasting models until adequate historical data is pull together. This will reducing predicting fault and set up self-assurance in predicting models to lead better RM applicability. Maximizing models should be executing in second phase or soon after. Revenue management systems and processes should address business problems and give activity that generates a path for maximization twelve months after implementing first phase.

Front-End Platform (as opposed to back-end transaction processing platform): In general extremely automated and closely integrated with reservation or transaction systems of companies executes revenue management system at a large. The systems are operating in the back-end and compel extremely practiced analysts to control and manage this method. An easy to use front-end to the compound revenue
management system can develop analyst productivity and get better results. Revenue management systems should agree to users to make what-if analysis to study the influence of parameter or input changes on the prediction and maximization model yield. It should be in such a manner it create any type of ad hoc report as users reflect and analyze.

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