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Big Data in fashion retail_final

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10 Roland Berger <strong>Big</strong> <strong>Data</strong> <strong>in</strong> <strong>fashion</strong> <strong>retail</strong><br />

What share of<br />

stock to discount<br />

Discount b<strong>in</strong>s (% of stock keep<strong>in</strong>g units)<br />

for all categories, 2018<br />

discount b<strong>in</strong>s (% of colors/styles)<br />

100<br />

80<br />

60<br />

40<br />

80-90 %<br />

70-80 %<br />

60-70 %<br />

20<br />

50-60 %<br />

40-50 %<br />

40-50 %<br />

20-30 %<br />

0<br />

10-20 %<br />

0 %<br />

H&M<br />

(DE)<br />

H&M<br />

(FR)<br />

H&M<br />

(IT)<br />

Mango<br />

(DE)<br />

Mango<br />

(FR)<br />

Zara<br />

(DE)<br />

Zara<br />

(FR)<br />

Zara<br />

(IT)<br />

Source: Retviews, Roland Berger

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