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Unit 14: Yield Management in Services




            The other problem in services sector is that lower productivity is influenced by a number of factors  Notes
            which are unique to services industry. For example, service industry is more labour intensive as
            against the manufacturing sector, which is capital intensive. In services industry, if you have to
            achieve higher output, you have to proportionately increase the workforce. The second problem
            is that of fewer opportunities because of economies of scale, lack of labor specialization and
            dependence on the human element. The third problem is the size of service operations. A number
            of service organisations are run by a handful of people. A nursing home, a lawyer, a consultancy
            service are some such examples. Here neither is division of labor possible nor specialization. All
            these problems make the task of managing productivity much more challenging in service
            organisations, and therefore it is considered to be a major strategic issue.



              Did u know? Since service organisations entail capital investment, productivity cannot be
              overlooked?

            14.1.1 Yield Management Process

            Yield management is an answer to the complex problem of optimising prices to maximise
            revenue and profits. To be effective, it requires three basic steps.

            Step 1: Analyse Competition

            Carefully evaluate competitive strengths and weaknesses.
            In step one, competitive data is analysed to illuminate pricing strengths and weaknesses. A
            yield management system prepares competitive data, such as in-store pricing, Internet pricing,
            market share, trade areas, etc. for business analysis. Because this information is not 100 percent
            available, the yield management system must provide a means for making educated assumptions
            about areas where little or no competitive data is available. It must also provide a means for
            helping the user qualify sales data for accuracy before using it as a metric in business decisions.
            Not all competitive prices have the same “weight” in the market, and not all competitors price
            each store alike, even within the same market. Each competitor has a distinct trading area, client
            base and cost structure that overlap with competitor trading areas, including the Internet. The
            mix of competitors and their respective differing strategies complicates the process of
            understanding competitive strengths and weaknesses. The yield management system allows
            complexity to be managed by the computer, helping the user to visualise competitor’s pricing
            strategies and enabling the user to focus on strategy, goals and exceptions instead of the details.

            Step 2: Understand Consumer Demand

            Accurately measure how customers value products; in so doing, quantify the relationship between
            price and unit sales movement.

            In step two, historical sales data, the purest form of communication a retailer has with its
            customers, is analysed to measure consumer trade-off decisions. When properly analysed, this
            data can reveal how customers actually respond to price changes, promotions and other aspects
            of a retailer’s value proposition.
            Yield Management: More than Just Price Elasticity

            Price elasticity is defined as the relationship between price and unit movement for a single
            product. Each time a customer makes a purchase, that purchase constitutes one data point. With
            multiple data points, it becomes possible to predict the unit movement for a product at a given




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