Forecasting in Managerial Economics

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 the strengths and shortcomings of each method and choose appropriately. One example of forecasting is the United States Marine Corps use of forecasting techniques, both qualitative and quantitative, to predict ammunition requirements.

“You are required to write a report on how marketers use the different methods of marketing research to identify opportunities of the market, segmenting and targeting the market based on the valuable results collected from their marketing research activities.

Forecasting should include the use of both quantitative and qualitative approaches to forecast demand for its products.

Forecasting is part of a company’s future planning as it attempts to estimate future demand for its product or services. Forecasting is usually measured in specific time periods (months, weeks, etc), given a desired level of accuracy, and assigned a unit of forecasting (sales in units or dollars) (Download Reports 2011). PepsiCo bases its sales forecasts on two main factors: changes in consumer tastes, particularly the rise health consciousness among consumers; and how legal regulations may impact operations, such more federal and local laws

* Now, assume you have acquired some time series data that would enable you to make short, medium, and long term forecasts. Ascertain the quantitative technique that will provide you with the most accurate forecast. Provide a rationale for your responses

* Forecasting is an impartial strategic ingredient that will ensure apt base for reputable planning. Our forecast is always the first step in developing plans in running the business along with our future plans of growth strategies. With this tool, we are able to anticipate our sales within reason that then can allow for us to control our costs in conjunction with inventory which will then help us to enhance our customer service. Sales forecasting is a vital strategic tactic in our company’s methodology.

There are various methods of collecting data such that the information collected can be used to draw inferences about the target population. The sales forecast is the key component for the problem statement and for accuracy it is important to know what consumers prefer over Best Buy. Participation in business surveys is usually voluntary and the quality of the results depends crucially on the willingness of enterprises to co-operate. A promising approach to getting high response rates is to make compliance as painless as possible

Good information. I like how one can forecast information between relationships and different variables. Especially how easy it is to read and determine what might be the next task at hand, depending on what the end result is looking like and wanting to determine. Forecasting is part on a planning process based on predictions.

Forecasting is the methodology utilized in the translation of past experiences in an estimation of the future. The German market presents challenges for forecasting techniques especially for its retail segment. Commercially oriented organizations are used to help during forecasting as general works done by academic scientists are not easy to come across (Bonner, 2009).

To find the "best practices" for forecasting, our team researched many cases of forecasting success, and found five companies with a common theme. Rayovac, the Coca-Cola Bottling Company, AAi. FosterGrant, the Sara Lee Corporation, and the Scotts Company all had major problems with forecasting, some of them very similar. To address and solve these problems each of these companies made major improvements to their forecasting

In today’s world of various products and services, businesses aim to excel and lead the competition by marketing the most number of consumers, which is a full time endeavor of business. To survive in the market, a firm or an organization has to be constantly innovating and understand the latest consumer trends and tastes. Marketers need to understand consumer behavior because the decision-making process for consumers is anything but straight forward. Consumers’ behaviors and their purchasing patterns is a huge advantage to understanding the way customers think and the reason for their purchases. Therefore, the study of consumer behavior is important because it allows the

But even this is not possible in case of a new product or innovation. A forecast of sales, demand, cash, requirements and several such business valuables are extremely essential for a business in order to be able to appropriately plan and conduct its operations in an effective and efficient manner. Yet, forecasts cannot be made accurately as there are several factors and changes in the current environment that leads to variations in forecasts and impacts or causes a manager to make changes in the forecasts.

Understanding consumer buying behavior entails marketing, relationships, and consumer behavior. Consumer behavior comprises all the consumer decisions and activities connected with the choosing, buying, using and disposing of goods and services. Marketers must pay very close attention to consumer behavior that occurs before the purchase and after the particular product has been used. Studying consumer habits is one of the steps in marketing search and analysis. In addition to other basic principles of consumer buying habits, marketers also need to study the decision and actions of real people. Until recent history the study of consumer behavior was focused on generalized consumer decisions. With

Forecasting mode has become a necessity for the organization to lean on. Borousan claimed that implementation of an accurate forecasting process helps companies is trying to obtain financing from investors. This method is a prediction based on previous sales performance and analyse of expected market conditions. There is important thing for

A Time Series is a data set which describes a function or property that varies or changes over time. Time Series Analysis examines this changing data, often with the objective of predicting the future occurrences (David Corliss, 2009). Analyzing time series data and forecasting its future values are among the most significant challenges in many fields like agriculture, meteorology, finance, economics, engineering, industrial production, and various environmental studies.