Trends can also be determined by socio-cultural events: remember how the color pink swept the market after the release of the Barbie movie, or how bizarre fashion became after the quarantine imposed due to the pandemic.
“The fast pace of the fashion industry also means that trends can change overnight. For example, if a celebrity has just had a sell-out and she walks on stage wearing a particular pair of shoes, it can seriously impact sales of those items,” says Dr. Michael Coren, a researcher in fashion forecasting at Shenkar College in Tel Aviv.
The novelty factor is no less important.
Trends are constantly evolving—as designer Karl Lagerfeld el salvador number data once said, “The essence of fashion is fickleness”—which means that what was trendy in June may be outdated by October.
That’s why it’s so important for analysts to react quickly so they don’t offer clients outdated forecasts. And artificial intelligence is particularly useful in this sense: models are currently being developed that can automatically scan thousands of runway images and instantly identify the most common color palettes and patterns.
Big data from social media posts also points to consumer preferences, as some Instagram influencers influence trends as much, if not more, than famous designers.
This is the principle behind a tool created by Paris-based Heuritech. It scans social media posts related to clothing and fashion, categorizing users as “avant-garde” (their style may not become popular, but indicates future trends), “trendy” (influential users who are the first to notice a trend and help spread it), or “mainstream” (everyone else).
“The goal is to help brands quantify what people are wearing now and be abl