Trend Forecasting Steps Essay - 825 Words

Trend Forecasting Steps (Essay Sample) Content: Trend forecasting stepsStudentà ¢Ã¢â€š ¬s nameInstitutional affiliationFashion forecasting is generally a career that involves focusing on upcoming trends in the fashion industry. Fashion and trend forecasting is the future determination of mood, behavior and purchasing habits of consumer at a given time of season. It does not only involve determination of markets, consumers in terms of age, their locations and income but also enquire deeply to get to know what they purchase depending on their culture, beliefs, moods as well as geographical location. Fashion and trend forecasting is more reliant on fashion cycle and plays a significant role in introductory stage of consistent fashion cycles.Fashion and trend forecasting involves a series of activities in each of the area it is dealing with. For example it looks at the; season, target market, consumer, colors, fabrics, silhouette, texture and usage. Therefore, comprehending fashion and trend forecast is not only cru cial in determining the success of the ultimate object of the designer but also enhances the continuous repetition of sales in future seasons as well as promoting the fashion cycles.Unlike in the past when trend forecasting was done manually, current trend forecasting is done using technological forecasting methods although they have been criticized for reducing creativity by most designers. Most trend forecasting are determined by the forecasting method applied by the ultimate user and it is therefore crucial to determine the most appropriate method of trend forecasting in any individuals business model. Generally, any trend forecasting methods involve the following steps (Hines, 2007);The first step is Problem definition. Although this is the hardest section of forecasting, it is the most important. This step requires keen analysis of how the forecasts will be used, who needs the forecasts as well as how the forecasting technique suits within the firm needs the forecasts. A foreca ster should therefore use enough time to every individual who will take part in data collection, keeping the data as well as applying the forecast for future planning. Then gathering of information follows whereby in most cases, statistical or quantitative data and qualitative data are the ones required. Therefore, the collectors of the data should be expertise who can be able to receive the qualitative information from the respondents who are usually the customers if there is no adequate quantitative information (Wong, 2010).The third step is preliminary analysis, also called exploratory analysis. In this step, the forecaster should consider whether or not there are consistent pattern that lead to significant trend, whether or not there is evidence of business cycles, the presence of outliers in the information that need explanation as well as the extent of relationship between variables present for analysis.The fourth step is choosing and fitting models. The best method of trend f orecasting should depend on the historical data present, the application of the forecasts as well as the extent relationship between the forecasts available and explanatory variables. Some of the methods that can be arrived at includes; exponential smoothing model, ARIMA model, vector autogression, neural networks among others (Wong, 2010).The last step involves the use and evaluation of the forecasting model. The success of the model can only be determined after the data for the forecast time has been present after which various methods are applied to assess the success of the model.Research methodologiesAs earlier stated, the main data required in trend forecasting is qualitative, quantitative and mostly commonly, a combination of the two.The quantitative research methodology start right from the bottom, where agencies and even the manufacturers either enquires directly from the customers on their purchasing preferences or the organization may record the consumers buying habit in a duration of a given time. The consumerà ¢Ã¢â€š ¬s response is recorded and used to determine preference for some specific garments, accessories or any other product on research, colors, and sizes among other factors of a product. Surveys through mail, customer response or phones are carried through publication as well as contracting market research organizations for manufacturers and as well as retailers. The survey questions usually relate to life style, income, shopping habits as well as fashion preference. The customers who participate in these surveys are selected by the research company although they should suit with manufacturers or retailers requirements. Informal discussion with consumer enable researchers get information through asking questions to customers about what they would prefer to purchase, the types they prefer to purchase which is currently present as well as the change in products they require and are not available or they cannot reach. Most researchers use s mall scale retailers because of their contact and conversation with the cust... Trend Forecasting Steps Essay - 825 Words Trend Forecasting Steps (Essay Sample) Content: Trend forecasting stepsStudentà ¢Ã¢â€š ¬s nameInstitutional affiliationFashion forecasting is generally a career that involves focusing on upcoming trends in the fashion industry. Fashion and trend forecasting is the future determination of mood, behavior and purchasing habits of consumer at a given time of season. It does not only involve determination of markets, consumers in terms of age, their locations and income but also enquire deeply to get to know what they purchase depending on their culture, beliefs, moods as well as geographical location. Fashion and trend forecasting is more reliant on fashion cycle and plays a significant role in introductory stage of consistent fashion cycles.Fashion and trend forecasting involves a series of activities in each of the area it is dealing with. For example it looks at the; season, target market, consumer, colors, fabrics, silhouette, texture and usage. Therefore, comprehending fashion and trend forecast is not only cru cial in determining the success of the ultimate object of the designer but also enhances the continuous repetition of sales in future seasons as well as promoting the fashion cycles.Unlike in the past when trend forecasting was done manually, current trend forecasting is done using technological forecasting methods although they have been criticized for reducing creativity by most designers. Most trend forecasting are determined by the forecasting method applied by the ultimate user and it is therefore crucial to determine the most appropriate method of trend forecasting in any individuals business model. Generally, any trend forecasting methods involve the following steps (Hines, 2007);The first step is Problem definition. Although this is the hardest section of forecasting, it is the most important. This step requires keen analysis of how the forecasts will be used, who needs the forecasts as well as how the forecasting technique suits within the firm needs the forecasts. A foreca ster should therefore use enough time to every individual who will take part in data collection, keeping the data as well as applying the forecast for future planning. Then gathering of information follows whereby in most cases, statistical or quantitative data and qualitative data are the ones required. Therefore, the collectors of the data should be expertise who can be able to receive the qualitative information from the respondents who are usually the customers if there is no adequate quantitative information (Wong, 2010).The third step is preliminary analysis, also called exploratory analysis. In this step, the forecaster should consider whether or not there are consistent pattern that lead to significant trend, whether or not there is evidence of business cycles, the presence of outliers in the information that need explanation as well as the extent of relationship between variables present for analysis.The fourth step is choosing and fitting models. The best method of trend f orecasting should depend on the historical data present, the application of the forecasts as well as the extent relationship between the forecasts available and explanatory variables. Some of the methods that can be arrived at includes; exponential smoothing model, ARIMA model, vector autogression, neural networks among others (Wong, 2010).The last step involves the use and evaluation of the forecasting model. The success of the model can only be determined after the data for the forecast time has been present after which various methods are applied to assess the success of the model.Research methodologiesAs earlier stated, the main data required in trend forecasting is qualitative, quantitative and mostly commonly, a combination of the two.The quantitative research methodology start right from the bottom, where agencies and even the manufacturers either enquires directly from the customers on their purchasing preferences or the organization may record the consumers buying habit in a duration of a given time. The consumerà ¢Ã¢â€š ¬s response is recorded and used to determine preference for some specific garments, accessories or any other product on research, colors, and sizes among other factors of a product. Surveys through mail, customer response or phones are carried through publication as well as contracting market research organizations for manufacturers and as well as retailers. The survey questions usually relate to life style, income, shopping habits as well as fashion preference. The customers who participate in these surveys are selected by the research company although they should suit with manufacturers or retailers requirements. Informal discussion with consumer enable researchers get information through asking questions to customers about what they would prefer to purchase, the types they prefer to purchase which is currently present as well as the change in products they require and are not available or they cannot reach. Most researchers use s mall scale retailers because of their contact and conversation with the cust...