{"id":86019,"date":"2026-03-11T14:13:50","date_gmt":"2026-03-11T18:13:50","guid":{"rendered":"https:\/\/www.mytotalretail.com\/?post_type=article&p=86019"},"modified":"2026-03-11T14:13:50","modified_gmt":"2026-03-11T18:13:50","slug":"new-york-fashion-week-is-no-longer-just-about-the-runway-but-the-data-behind-it","status":"publish","type":"article","link":"https:\/\/www.mytotalretail.com\/article\/new-york-fashion-week-is-no-longer-just-about-the-runway-but-the-data-behind-it\/","title":{"rendered":"New York Fashion Week is No Longer Just About the Runway, But the Data Behind it"},"content":{"rendered":"

New York Fashion Week (NYFW) has always been about more than what happens on the runway. Look behind the shows and you’ll see a real-time signal of how the fashion industry is evolving and where its biggest pressures lie.<\/p>\n

As I spoke with designers, brand leaders, and retail executives at NYFW last month, one theme kept resurfacing: Business artificial intelligence is no longer a future ambition for fashion; it’s already here. The bigger question is whether brands are prepared to support it with the data and operating discipline required to make it truly valuable.<\/p>\n

For Fashion Brands, Volatility is the New Black<\/strong><\/h2>\n

The fashion industry has always been forced to balance creativity with commercial risk, but the scale and speed of volatility today is unprecedented. Geopolitical instability, supply chain disruption, and rapidly shifting consumer behavior have compressed timelines and raised the cost of every decision, especially when information is fragmented or late. Trends emerge and fade in weeks, not seasons, while production cycles still demand long-term commitments.<\/p>\n

Few industries feel this tension more acutely than fashion. Brands are being asked to move faster, personalize more deeply, and operate more sustainably at once and with tighter margins. That pressure was on display this season.<\/p>\n

Designers presented collections meant to resonate emotionally and perform commercially in an environment where forecasting missteps can mean overproduction, missed demand, or margin erosion.<\/p>\n

In this context, it’s no surprise that AI has evolved from experimentation to expectation, especially as brands look for ways to do more with the resources they already have.<\/p>\n

AI is Everywhere. The Foundation is Not<\/strong><\/h2>\n

Across the industry, most leaders embrace AI as an enabler to influence design, merchandising, marketing and more. NYFW also revealed a quieter truth: while AI tools are proliferating, simply layering AI onto fragmented systems doesn’t solve complexity. However, having a connected data foundation spanning early design decisions, supplier commitments, real-time sales signals, and customer engagement not only helps prevent this, it also provides the foundation for using AI at scale.<\/p>\n

When this foundation is in place, the impact is tangible. Brands can anticipate demand earlier and with greater confidence. They can reduce overproduction and respond faster to emerging trends. Designers gain clarity into how collections are resonating, while merchandising and marketing teams move from reactive decision-making to proactive planning.<\/p>\n

A great example is the Canadian fashion brand ALDO. “Connecting our end-to-end processes allowed us to modernize the business, move faster, scale globally, and deliver measurable improvements across operations and customer experience,” said Matthieu Houle, CIO at ALDO. “By unifying our SAP applications, we have access to strong data that enable us to deliver more consistent, intelligent experiences for our customers with AI.”<\/p>\n

Just as importantly, connected data leads to more relevant and personal experiences on the runway, in-store, and online. In an industry where emotion and identity matter as much as efficiency, this balance is vital for success.<\/p>\n

NYFW as a Test Case for Fashion’s Next Operating Model<\/strong><\/h2>\n

This season’s NYFW offered a glimpse of how technology and creativity can work together when infrastructure is designed around experience rather than complexity.<\/p>\n

I visited the Retail Innovation Lab by NYFW Collections and SAP. Through a partnership with N4XT, we showcase how AI can augment and streamline processes across the full fashion value chain to vastly improve the experience of customers and help brands reach even more people. I heard from designers and brand leaders about how they’re balancing speed, control and creativity, as well as what “useful AI” means for fashion brands.<\/p>\n

The common thread was pragmatism: AI works best when it operates in the background, enabling faster decisions, clearer ownership, and more room for creative expression. That requires a connected data foundation, one that unifies design, supply chain, and customer information in real time so brands can move faster and make smarter decisions without sacrificing human creativity.<\/p>\n

The Advantage Will Be Earned, Not Automated<\/strong><\/h2>\n

The importance of data will become even more pronounced as brands grow. Large, multibrand organizations constantly weigh global scale with local relevance through complex supply chain operations, while preserving distinct brand identities.<\/p>\n

In these environments, connected data becomes more about resilience than optimization. It allows leadership teams to see patterns sooner, align decisions across functions, and act with confidence even when conditions are uncertain.<\/p>\n

NYFW made clear that creativity will always be fashion’s heartbeat and that technology will never replace intuition or imagination. However, in an era defined by speed and unpredictability, intuition alone is no longer enough.<\/p>\n

The brands best positioned for the future will be those that invest in trusted data foundations today to support better decisions, stronger experiences, and more sustainable growth.<\/p>\n

AI will shape fashion’s next chapter. Quality, connected data will determine who leads it.<\/p>\n

Jan Gilg is global president, customer success and Americas and member of the Extended Board, SAP<\/a>.\u00a0<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

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As I spoke with designers, brand leaders, and retail executives at NYFW last month, one theme […]<\/p>\n","protected":false},"author":14967,"featured_media":83372,"comment_status":"closed","ping_status":"closed","template":"","coauthors":[141532],"class_list":["post-86019","article","type-article","status-publish","has-post-thumbnail","hentry","category-artificial-intelligence","category-systems-integration","category-technology","tag-ai","tag-artificial-intelligence","tag-data","tag-data-integration","tag-fashion","tag-new-york-fashion-week","tag-systems-integration","editorial_type-trendsanalysis","collection-today-on-total-retail","vertical-retail"],"yoast_head":"\nNew York Fashion Week is No Longer Just About the Runway, But the Data Behind it<\/title>\n<meta name=\"description\" content=\"New York Fashion Week (NYFW) has always been about more than what happens on the runway. 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