Good forecasting is the essence of corporate governance, so for the fashion industry, which is one of the most dynamic and unpredictable industries, it is an important component of business. Because it is extremely difficult for consumers to predict the exact requirements because preferences change very quickly, designers and manufacturers are expected to react quickly and with quality to all changes brought by the market. The result is that speed to market has become a critical component in gaining competitive advantage. Although the leaders of the world's largest fashion brands are currently dealing with crisis management and relocation of funds for more important purposes, the Covid-19 pandemic has provided the fashion industry with an opportunity to change. As demand fluctuated sharply during the Covid-19 pandemic (comfortable clothing was more in demand than business and elegant clothing), the tools and forecasting data available so far are no longer adequate. Also the future will increasingly require the use of artificial intelligence tools in forecasting the fashion industry. It is for this reason that the main purpose of this thesis is to explain the importance of choosing the right methods and tools to predict and the changes that occurred during the Covid-19 pandemic. Consequently, in order to better illustrate the impact of the Covid-19 pandemic on fashion industry prediction, a qualitative study was conducted, through an in-depth interview in which high-ranking managers of various fashion brands and fashion stores participated. Furthermore, the opinion and attitude on whether there are big differences in consumer choice (customer preferences in given time intervals) and whether online shopping was at least partially managed as before the Covid-19 pandemic.