Forecasting Models: Associative and Time Series Forecasting involves using past data to generate a number‚ set of numbers‚ or scenario that corresponds to a future occurrence. It is absolutely essential to short-range and long-range planning. Time Series and Associative models are both quantitative forecast techniques are more objective than qualitative techniques such as the Delphi Technique and market research. Time Series Models Based on the assumption that history will repeat itself‚
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Compete in India History Background Coke and Pepsi Learn to Compete in India Case Summary Indian softdrinks Market Six product segments-Economic crisis of 1991 leaving consumers with little choice of brands -1986 “Pepsi Foods Ltd.” “Lehar Pepsi” -1990 Coca-Cola Reenters market with joint venture “Britco Foods” -Later partner with Parle Advertising Pepsi and Coke sponsor TV campaigns‚ Urban Youth‚ Cultural Festivals and Sports Fans. Both Pepsi and Coke look to expand into other markets (fruit
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Coke and Pepsi Learn to Compete in India CASE STUDY 2 International Marketing 1. The political environment in India has proven to be critical to company performance for both PepsiCo and Coca- Cola India. What specific aspects of the political environment have played key roles? Could these effects have been anticipated prior to market entry? If not‚ could developments in the political arena have been handled better by each company? There are several specific aspects of the political environment
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CHAPTER - 1 INTRODUCTION 1.1 INTRODUCTION This project report is prepared for the submission to the RUNGTA COLLEGE OF ENGINEERING‚ BHILAI. This project is done for “ A STUDY ON CONSUMER PERCEPTION TOWARDS PEPSI IN DURG & BHILAI”. It was based on the theoretical and practical knowledge gained by the survey. The Cold drink industry has entered in a booming stage and is now available everywhere. Proper strategy should be formulated
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COKE AND PEPSI LEARN TO COMPETE IN INDIA Brief Overview: * The case of Coke and Pepsi in India is a lesson that all marketers can observe‚ analyze and learn from‚ since it involves so many marketing aspects that are essential for all marketers to take into consideration * Pepsi entered into the Indian beverage market in July 1986 as a joint venture with two local partners‚ Voltas and Punjab Agro‚ forming “Pepsi Foods Ltd.” While Coca-Cola followed suit in 1990 with a joint venture
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the products of PepsiCo: The major brand categories owned by PepsiCo‚ Inc. include Pepsi‚ Frito-Lay‚ Gatorade‚ Quaker Oats and Tropicana. Each of these has numerous other product offerings in their respective categories‚ both U.S. and internationally 1. Pepsi 2. Diet Pepsi 3. Caffeine-Free Pepsi 4. Caffeine-Free Diet Pepsi 5. Pepsi Wild Cherry 6. Diet Pepsi Wild Cherry 7. Diet Pepsi Vanilla 8. Pepsi ONE LITRATURE REVIEW: • According to kabir c. sen (june‚1997) Unlike
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Case Study: Coke and Pepsi in India: Coca-Cola controlled the Indian market until 1977‚ when the Janata Party beat the Congress Party of then Prime Minister Indira Gandhi. To punish Coca-Cola’s principal bottler‚ a Congress Party stalwart and longtime Gandhi supporter‚ the Janata government demanded that Coca-Cola transfer its syrup formula to an Indian subsidiary. Coca-Cola balked and withdrew from the country. India‚ now left without both Coca-Cola and Pepsi‚ became a protected market. In the
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Harper Chemical Jeffrey Gomez February 5‚ 2013 Introduction Harper Chemical’s forecasting for its new project called Domanite was very inaccurate. Expenses were estimated with a failure to account for unexpected expenditures‚ and spending was not regulated well. Sales figure estimates were inflated‚ and did not account for the difficulty of opening a new market. Unexpected Losses It was originally estimated that the sales volume of Domanite would hit 55‚000 tons per year by 1983.
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Choose one of the forecasting methods and explain the rationale behind using it in real life. I would choose to use the exponential smoothing forecast method. Exponential smoothing method is an average method that reacts more strongly to recent changes in demand than to more distant past data. Using this data will show how the forecast will react more strongly to immediate changes in the data. This is good to examine when dealing with seasonal patterns and trends that may be taking place. I would
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Case Study: Coke & Pepsi learn to compete in India Timing of entry into the Indian market brought different results for PepsiCo and Coca-Cola India. What benefits or disadvantages accrued as a result of earlier or later market entry? Coca-Cola (1990) Benefits: advantages as „Early-Follower“‚ possibility to use reliable market information that´s already existing take-over of standards position as international market leader Disadvantages: expert knowledge of competitors has to be overtaken
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