Advanced AI for Demand Forecast in Fashion and Apparel Retailing

The ultimate objective of the project is to develop an AI-based framework addressing the forecasting needs of a typical fashion and apparel retailer. The project activities involve development of models predicting demand for particular fashion and apparel items in the context of different customer groups, as well as techniques for identifying fashion trends. The developed methods and algorithms will be able to handle uncertainty, as well as imperfection and missing information. Graph-based formats for representing relevant information will be explored. The project will demonstrate applicability of AI methods to solve real-world challenges.

Faculty Supervisor:

Marek Reformat;Petr Musilek


Elizaveta Kharlova;Marcin Pietrasik


FIND Innovation Labs Inc.


Engineering - computer / electrical


Professional, scientific and technical services


University of Alberta



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