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FASHION FLOPS<br />
Chalenge Implementati Results<br />
FIVE<br />
PROJECTS 110<br />
CATEGORY<br />
STRUCTURE<br />
TEAM MEMBERS<br />
TIAGO CARVALHO<br />
CATARINA LEÃO<br />
CONCEIÇÃO CARDOSO<br />
ISABEL PORTUGAL<br />
JOSÉ MANUEL MIRANDA<br />
PATRICIA NETO<br />
RAFAEL PIRES<br />
RUTE VIEIRA SILVA<br />
What if you could predict<br />
which products would sell<br />
and which ones would be<br />
a flop?<br />
A new algorithm that helps our<br />
Fashion Department to know in<br />
advance which products will not<br />
achieve a desirable outcome by<br />
the end of the full price season<br />
and, therefore, we can still tackle<br />
this issue on time.<br />
ACCURACY RATE FOR<br />
SPRING/SUMMER 2016<br />
PREDICTIONS<br />
83%<br />
RETAIL BOOK of INNOVATION 2016
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