Advancements
in areas of Big Data and Artificial Intelligence have seriously disrupted the fashion
industry, forcing brands to adapt in order to maintain their competitive
advantages. As a senior at Northwestern pursuing
a certificate in Integrated Marketing Communications through the Medill School
of Journalism, I have found two articles that outline the increasing importance
for brands to embrace the changes occurring in increasingly innovative fashion
industry landscape in order to drive and sustain brand relevancy.
In “How
Fashion Retailer H&M Is Betting On Artificial Intelligence And Big Data To
Regain Profitability”, Bernard
Marr at Forbes outlines how fast fashion giant, H&M, is hoping to
leverage trends in Big Data and Artificial Intelligence to regain financial
success. Marr discusses how Big Data can help apparel brands optimize their
product cycles to minimize unwanted inventory, automate supply chain processes,
and maximize customer satisfaction. The demand for increasingly personalized shopping
experiences is also noted by Marr, supplemented by discussion of H&M’s
investment in integrating the online and offline customer journeys. Marr notes
that leaning into these Big Data and Artificial Intelligence trends are a step
in the right direction for H&M and have great potential to drive the brand’s
future success.
Source: Wide Eyes Blog |
In the second article, “7
Ways How Tech Innovation Will Change The Fashion E-Retail In 2018” Rakesh Jain at CEO World outlines the impact tech innovation
will have on the fashion industry this year. Jain’s discussion of ability of
artificial intelligence to help brands personalize the shopping experience and
its ability to nurture one-to-one relationships mirrors the ideas discussed in
the aforementioned Forbes
article. Digital realities, such as those already implemented by Chinese
e-commerce giant Alibaba,
are made possible by breakthroughs in Virtual Reality and Artificial
Intelligence technologies and will continue to be valuable business and
consumer tools. The article concludes that fashion brands can no longer afford
to ignore the digital trends occurring in the dynamic industry, and brands will
have to “innovate or be eliminated”.
Based on these two articles and
my experiences both at Northwestern University and in my fashion-centric
projects, I have developed 3 action items you should consider when developing
future business strategy plans.
· Big Data Rules: Taking advantage of the vast amount of customer data is crucial
allows for brands to better predict trends, effectively allocate merchandise,
and eliminating hassle – all essential
in building the foundation for a positive shopping experience.
· Push For Automation: Integration of the breakthroughs in supply chain, such as
warehouse automation, will not only improve customer experiences, but will also
increase productivity and optimize a brand’s bottom line.
· Customization is Key: Customers are increasingly looking for a tailored shopping
experience and providing them these unique experiences, often facilitated with
AI and VR, will be essential in staying competitive in the industry.
Apparel brands must either continue or initiate serious investments in the trends in Big Data and Artificial Intelligence in order to stay competitive in the dynamic fashion industry that will continue to phase out brands that do not embrace these innovations.
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