The case deals with the development of demand forecast for a product which is presently in a totally sellers' market and commands a considerable premium over the control price. As a result, there are serious distractions in the marketplace, and the registration queue gives very little useful indications of the effective demand. Also, the demand is expected to be influenced by prices of substitutes like motorcycles and mopeds, likely changes in the supply and price position of cars, investment in public transport and road development, and a lot of other complicating factors. Because of supply shortage resulting in high resale prices of secondhand scooters, the consumer today is able to use the product at hardly any cost and is able to recover his investment from resale in the market. With the changed situation when supply situation improves, such factors would disappear and the problem of forecasting demand today under a changed supply situation becomes complicated. Regression method has been used for estimating the demand, and disposable income, price and scooter stocks were treated as the dependent variable, while income and price were used as independent explaining variables. Students are expected to identify other variables besides those considered in this study for obtaining better forecasts. Also, data about a comprehensive consumer survey has been given to provide a better insight into the demand forecasting problem.