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In the context of this funding project with the Fashion Tech Start-Up Dresslife, a system is designed, that aims to solve the problem of low conversions and high return rates in fashion e-commerce. By applying deeplearning methods, the information asymmetry of customer, product assortment and company will be reduced. In addition, the technological solution improves the environmental impact of global fashion e-commerce because the avoidable returns cause CO2 emissions.

Research area
Intelligent Access to Information