In an effort to come back from its multi-year slump, H&M is turning to machine-learning. Is machine-learning the answer to H&M’s problems and is it too late?
H&M, the second largest fast fashion retailer in the world is facing challenges as consumers expect fashion to be increasingly fast-paced, affordable and personalized. The emergence of new fast fashion retailers such as ASOS and Boohoo coupled with the constant threat from its main rival Inditex has made H&M’s dual supply chain approach increasingly obsolete. How should H&M re-position its supply chain to stay competitive in the era of digitization?
HM is one of the largest consumers of cotton globally. Does HM have a responsibility and/or incentive to source sustainable cotton?
Taking a look at H&M’s sustainability efforts to curb climate change
From the way that consumers shop, to the way that brands produce and distribute their apparel, the fashion industry has completely changed over the past decade. The digital age, along with the millennial consumers’ obsession with fast fashion, are both […]
H&M experiences the impacts of climate change across the value chain in several ways. Can H&M reduce the footprint of their garments and get the customer involved to help drive change?
As H&M operates nearly 4000 stores worldwide , its very actions stand to destroy its success soon.