Go back to list
Demand Management Replenishment

Is it possible to forecast sales in the fashion industry?

Replenishment and demand forecasting in the fashion industry are fraught with many challenges - high volatility of trends, short product life cycles, long lead times, and more. Does this mean that applying artificial intelligence to these areas is a mission doomed to failure? No, although the path to achieving business goals through AI is not always clear.

Download e-book

Inside you will find:

Key challenges in the fashion industry in the context of demand and sales forecasting

Among them are the volatility of fashion trends, seasonality, the problem of inter-store transfers and long lead times.

Ways to improve forecast quality while automating

Although predicting future business events in the fashion environment is not the easiest thing, it makes business sense. Artificial intelligence and Machine Learning can cope with frequent collection changes and upcoming fashion trends.

Replenishment strategies in the fashion industry

Thanks to advanced data analysis, it is possible to better predict demand in a given channel, as well as to dynamically allocate goods within different channels.

Read more!

Click and download the e-book (PDF file) to learn more about how AI and ML are supporting the fashion industry in achieving a competitive advantage.


Would you like to know more?

Subscribe to our newsletter

Newsletters are sent in email format, no more often than once a month or immediately in case of significant news/changes/educational content. More in the terms and conditions.