Demand Forecasting in the Indian Retail Industry Applied Economics (HS 700) Course Project Report Vijay Gabale (07305004) Ashutosh Dhekne (07305016) Piyush Masrani (07305017) Sumedh Tirodkar (07305020) Tanmay Mande (07305051) March 19‚ 2008 1 Contents 1 Introduction 1.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 Objective . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Challenges Faced in Demand Forecasting 3 Theoretical Framework 3.1 Judgemental
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INDUSTRIAL STATISTICS AND OPERATIONAL MANAGEMENT 6 : FORECASTING TECHNIQUES Dr. Ravi Mahendra Gor Associate Dean ICFAI Business School ICFAI HOuse‚ Nr. GNFC INFO Tower S. G. Road Bodakdev Ahmedabad-380054 Ph.: 079-26858632 (O); 079-26464029 (R); 09825323243 (M) E-mail: ravigor@hotmail.com Contents Introduction Some applications of forecasting Defining forecasting General steps in the forecasting process Qualitative techniques in forecasting Time series methods The Naive Methods Simple Moving
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Forecasting Denosumab Why is forecasting for any new drug so important? Why for Denosumab? Drug forecasting is a very important and essential process for any drug for multiple reasons: 1. Cost: The drug development is a lengthy and an expensive process. It will aid in the predevelopment process to identify future demand and to identify if it is a worthwhile venture. The future of a company could depend on the success or failure of a new drug in the market. 2. Profitability 3. Market
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Economic Forecasting ECO/372 August 20‚ 2013 Robert Stack ECONOMIC FORECASTING The study of macroeconomics demonstrates how individuals purchase‚ sell‚ and use raw materials to drive the economy around the globe. A useful source of data could be attained from the International Monetary Fund (IMF) where a person could gather current or historic data. After the collection of the data a researcher could utilize the International Monetary Funds website to see a forecast of any certain
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Abstract Forecasts are extensively used to support business decisions and direct the work of operations managers. The two major types of forecasts are qualitative and quantitative. Within each of these types are multiple methods and models. Qualitative forecasts are based upon subjective data. Quantitative forecasts are derived from objective data. Both methods are not suitable for all situations and circumstances. Each has inherent strengths and weaknesses. The forecaster must understand
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Marriott Rooms Forecasting Case Study This case involves the study of the Hamilton Hotel and the use of forecasting to help predict their demand on a specific day. Marriott Hotels operated the Hamilton hotel. Marriott has been known for a culture that puts people first. Marriott is recognized worldwide for their enduring values‚ their spirit to serve‚ and their corporate commitment to creating better places to live and work. 1) Critical Issue: The critical issue is the manager has to choose
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Prices Paid (MAR) priority is medium or it indicates expansion. ISM Manufacturing assesses the state of US industry by surveying executives on expectations for future production‚ new orders‚ inventories‚ employment and deliveries. So‚ it represents business sentiment regarding future inflation‚ where a higher figure indicates stronger expectations of inflation. In addition‚ there is another one of uncommon behaviour on 4th May to 9th May when the trends is increasing at the beginning but start to fall
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Which of the following is the least useful sales forecasting model to use when sales are increasing? Select one: Trend adjusted exponential smoothing Weighted moving average Naïve Exponential smoothing ? Simple mean x Which of the following forecasting methods is most likely to be implemented to change an existing quantitative forecast to account for a new competitor in the marketplace? Select one: Gamma method Executive opinion Market research Naïve method Delphi method
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QUALITATIVE FORECASTING METHODS Qualitative forecasting methods are based on educated opinions of appropriate persons 1. Delphi method: forecast is developed by a panel of experts who anonymously answer a series of questions; responses are fed back to panel members who then may change their original responses a- very time consuming and expensive b- new groupware makes this process much more feasible 2. Market research: panels‚ questionnaires‚ test markets‚ surveys‚ etc. 3. Product life-cycle
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Sales Forecasting Sales potential is larger than sales forecast. Reason:- • Company do not have sufficient production capacity to capitalize on full sales potential. • No good distributive network. • Limited financial resource. • Company’s being more profit oriented than sales oriented. Sales forecast is depended on how much amount of resources can sell if it implements a particular marketing programme. Sales Forecast Methods:- 1) Qualitative method a) Expert’s opinion. b) Survey
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