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Guiding the Future of Fashion: AI, clarity, and the need for Navigation

Insights from PI Apparel New York 2025

 

This past June at PI Apparel NY, one message rang out clearly across panels, booths, and conversations: the fashion industry is not just looking for innovation, it’s looking for guidance. As one panelist aptly put it, the best thing service providers can do today is “be the GPS”. In a landscape as complex and fast-moving as fashion, that idea resonates. Brands aren’t short on tools. What they’re short on is a clear path forward, one that connects their creativity with commercial viability, their systems with each other, and their investments with measurable outcomes.

This year’s event captured that tension perfectly. Attendees were genuinely curious about how AI is applied across the fashion value chain, from design and production to backend systems, ecommerce, marketing, and beyond. We had the opportunity to engage in several meaningful conversations from our new co-branded booth featuring Deda Stealth, Competitoor, Zedonk, and B/SAMPLY. What stood out, beyond the technologies on display, were the real and recurring challenges that brands face every day.

 
 

Design vs. Scale: bridging the gap between creativity and production

 

One of the most consistent themes across conversations was the growing disconnect between design and production. Creative teams are driven by vision, uniqueness, and aesthetic differentiation. However, the realities of scalable, cost-effective manufacturing often don’t align with that ambition. As a result, brands find themselves stuck, either compromising creativity to meet supplier constraints or losing time and money trying to scale products that aren't feasible.

What’s missing is an integrated workflow that connects design with real-time production feedback. AI and digital sampling can help here, but adoption only matters if these tools are embedded early in the design process. Otherwise, the disconnect leads to excess inventory, longer lead times, and collections that never make it to market in the form originally intended.

 
 

Know the problem before picking the right tool

 

Another major friction point is that brands often jump to solutions without fully understanding their internal challenges. With so many platforms offering dashboards, optimization, or automation, it’s tempting to invest quickly. But technology is only effective when it’s deployed to solve the right problem. At PI Apparel, we heard from brands struggling with this very issue: buying tools that later sit unused or implementing features that don’t address their most pressing needs. The key is diagnostic clarity. Before choosing a tool, brands must ask themselves: Where is the friction? What’s breaking down in our process? Which manual tasks are draining resources? Without this level of understanding, even the best platforms fall flat.

 
 

Understanding the customer comes first

The same principle applies externally. Before brands can choose tools for marketing, personalization, or customer engagement, they must deeply understand who they’re talking to. What are the customer’s behaviors, needs, and preferences? Where are they discovering products, and how are they deciding to buy them? AI and data tools can enhance customer insight, but only if fed with the right inputs. A brand that hasn’t clarified its core audience will struggle to interpret the output. That’s why some of the most valuable conversations we had during the event were about customer journey mapping, understanding when and where a brand should show up in the buyer’s life, and what messages resonate.

 
 

Where do we go from here?

These ongoing conversations, whether about aligning design with production, choosing the right tools, or better understanding the customer, all revolve around a shared goal: making business more intelligent, responsive, and ultimately easier to manage. At PI Apparel, this desire was palpable. In the U.S. market especially, technology and AI continue to dominate the strategic agenda, offering tangible pathways to efficiency and profitability. While sustainability may have taken a quieter role this year, it’s far from forgotten. 

Innovations like Canada’s Waste Up, which transforms would-be landfill materials into sellable products at no cost to brands, show that circularity and commercial sense can coexist. These are the kinds of solutions that reflect where the industry is headed: toward smarter, more agile ways of working that meet both economic and ethical expectations. The role of Deda Stealth and its companies continues to be putting the right tools in front of the Fashion&Luxury brands, then explaining clearly and practically how those tools can be used to improve their business, protect their margins, and streamline the journey from idea to execution.

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