Historical research is not a primary trend forecasting method, as it involves studying past trends rather than predicting future trends.

Environmental scanning involves identifying and analyzing cultural, social, and economic factors that may influence future trends.

Consumer research involves gathering data from surveys, focus groups, and interviews with consumers to understand their preferences and behaviors.

Trend analysis involves analyzing past sales data, market trends, and consumer behavior to identify emerging trends.

Expert opinion involves seeking insights and opinions from industry experts, designers, and fashion influencers.

Historical research involves studying past fashion trends, cultural movements, and historical events to identify recurring patterns and themes.

Digital ethnography involves analyzing social media platforms, online forums, and blogs to identify emerging trends and consumer preferences.

Technology forecasting involves identifying and analyzing emerging technologies, innovations, and materials that may influence future trends.

Economic forecasting involves studying economic indicators, market trends, and consumer spending patterns to identify emerging trends.

Global forecasting involves analyzing global events, political changes, and cultural shifts to identify emerging trends.

Fashion forecasting involves analyzing runway shows, fashion magazines, and street style trends to identify emerging trends.

Cultural forecasting involves identifying and analyzing emerging trends in art, music, and design to identify potential fashion trends.

Color forecasting involves analyzing color palettes, prints, and patterns to identify emerging trends.

Material forecasting involves identifying and analyzing emerging trends in materials, textures, and fabrics to identify potential fashion trends.

Shape forecasting involves analyzing silhouettes, shapes, and proportions to identify emerging trends.