
Trend Forecasting Models Explained for Curious Readers
Trend forecasting turns scattered signals into informed guesses. The main models in plain language, from pattern spotting to long-range planning and AI.
Forecasting explains the discipline itself: where practitioners source data, how far ahead a call can hold, what a color council decides, and how confidence ought to be stated. Old forecasts are revisited and scored here, wrong ones included. For people who forecast professionally or buy the output.

Trend forecasting turns scattered signals into informed guesses. The main models in plain language, from pattern spotting to long-range planning and AI.

Signals, weak data, and the slow work of turning noise into a named direction.

Runway counts, street photography and fabric reports feed a research pipeline that runs years ahead of the racks.

Forecasting agencies sell synthesis — runway tallies, retail data, and cultural signals combined into reports bought two years ahead of the selling season.

A committee inside the Pantone Color Institute spends roughly nine months reading signals before it names one hue for the coming year — and the industry calendar bends around the result.

WGSN and Coloro have named Luminous Blue their Colour of the Year for 2027, leading an S/S 27 palette built around a single stated idea: interconnectedness.