Fashion trend forecasting is moving from prediction towards adaptability as digital culture speeds up trend cycles and fragments consumer attention. Micro trends, viral content and evolving identities ...

Fashion trend forecasting helps companies predict which clothes will be popular in upcoming seasons. Traditionally, this has relied on experts' intuition, experience and creativity. More recently, big ...

When you dive into Excel, you quickly realize the power it holds for data analysis and prediction. Two of the most potent tools at your disposal are the TREND and FORECAST functions. These functions ...

The unpredictable nature of the fashion industry — with its varying factors such as fast fashion, TikTok trends, influencers and fashion week shows — makes it especially difficult to pinpoint what ...

The intersection of data science and style has shifted how the fashion industry interprets what consumers want next. In recent years, discussions around AI fashion trends have moved from experimental ...

All design firms are unique; Goesling Group is more unique than others. A collaboration between sisters Becca and Sarah Goesling, the Park Ridge, Illinois–based company is split between a traditional ...

A confluence of trends from the runway, street style and social media have created new opportunities and challenges for retailers. A new data-driven platform by consumer trend forecasting firm WGSN ...