This Blog is about Fashion forecasting methods
Fashion trend forecasting resources help predict trends in the fashion industry.
Fashion & trend forecasting is the prediction of mood, behavior and buying habits of the consumer at particular time of season. It is no longer a question of finding your markets or consumers by age, geography or income, but looking into how and what they buy, based on their culture, mood, beliefs, occasion & geographic locations, it is also dependent on fashion cycle and plays a major role in introductory phase of recurring fashion cycles.
Fashion trend forecast calculates as following:
Season > Target Market > Consumer >Colors > Fabrics > Silhouette > Texture > Usage
Main factors affecting Fashion trend forecasting:
Seasons:
Each season, the design and merchandising departments worldwide are waiting whats in trend for coming seasons. Trend forecasts are based on seasons Spring, Summer, Fall &Winter like we connect certain colors with holiday and seasons, they expect to see earthy tones in fall season, jeweled colors for holidays, the pastels of flowers in early spring, and refreshing white for the summer.
Market Intelligence:
Acceptance by large no of people makes market important.
The marketing intelligence cycle whether its apparel or other business houses typically consists of directing, collecting, compiling, cataloguing, analyzing and form filled up data by consumers therefore making it easier for industry to create product which is market based.
Consumer Research:
Consumer reactions are recorded and documented to find preferences for certain garments or accessories, sizes or colors and so on ,or products to fit specific consumer tastes. Surveys, by phones, mail or customer feedback forms are conducted by publication and market research companies for manufacturers and retailers. These surveys include questions about life-style, fashion preference, income, and shopping habits.
TYPES OF FORECASTING METHODS
Qualitative methods: These types of forecasting methods are based on judgments or opinions, and are subjective in nature. They do not rely on any mathematical computations.
Quantitative methods: These types of forecasting methods are based on quantitative models, and are objective in nature. They rely heavily on mathematical computations.
QUALITATIVE FORECASTING METHODS
Qualitative Methods | |||||||
Executive Opinion | Market Research | ||||||
Approach in which a group of managers meet and collectively develop a forecast. | Approach that uses surveys and interviews to determine customer preferences and assess demand. | Approach in which a forecast is the product of a consensus among a group of experts. | |||||
QUANTITATIVE FORECASTING METHODS
Quantitative forecasting methods can be divided into two categories: time series models and causal models.
Quantitative Methods | |||||||
Time Series Models | Causal Models | ||||||
Time series models look at past patterns of data and attempt to predict the future based upon the underlying patterns contained within those data. | Causal models assume that the variable being forecasted is related to other variables in the environment. They try to project based upon those associations. | ||||||
Here are some links for fashion forecast 2012.
http://www.scribd.com/doc/22780620/2012-Fashion-Forecast
http://www.linkpop.net/automotive/free%20fashion%20forecast%20summer%202012
http://www.fashiontrendsetter.com/
