New Gen's AI-Ready Infrastructure: Revolutionizing Fashion Brands
In today's rapidly evolving retail landscape, the integration of artificial intelligence with commerce has become increasingly vital. Responding to this trend, New Generation (commonly referred to as New Gen) has launched an innovative AI infrastructure tailored for the fashion industry. This dynamic platform provides brands with the tools they need to thrive in an era characterized by agentic commerce, reshaping how businesses interact with customers and manage their product offerings.
The Need for AI-Driven Solutions
As the global market for AI in retail is projected to surge from $7.3 billion in 2023 to over $51 billion by 2030, many fashion brands are grappling to keep pace with this revolutionary shift. Traditional keyword-based search methods are becoming obsolete as shopping behaviors transition towards more natural language-based queries. The robust AI-driven infrastructure positioned by New Gen aims to ensure that fashion brands do not just adapt but flourish as these changes unfold.
Transforming Static Catalogs into Dynamic Assets
One of the standout features of New Gen's offering is its capability to morph static product catalogs into dynamic, machine-readable data. This transformation is crucial for increasing the visibility of fashion brands across modern AI-driven search interfaces. By enabling structured data with consistent inputs - such as pricing, availability, materials, fit, and sustainability metrics - New Gen equips brands to significantly enhance their discoverability in the evolving agentic shopping ecosystem.
Co-founder Adam Behrens asserts, “Even without a fully deployed AI strategy, brands can – and should – start future-proofing today.” The ability to provide clean and machine-readable product information is the first step towards capitalizing on the burgeoning AI retail market.
Conversational Commerce: A New Frontier
One of the key methodologies employed by New Gen is conversational commerce. This low-entry point allows fashion brands to commence their journey into AI with manageable pilot projects. These initiatives have already yielded valuable insights, revealing customer inquiries, product comparisons, and friction points that prevent purchases. This actionable data enables brands to refine their merchandising approaches, optimize inventory planning, and craft effective messaging strategies.
Co-founder Jonathan Arena emphasizes the importance of these conversations: “The rich data generated from shopper interactions acts as a new form of first-party research, offering real-time insights into demand and decision-making.” This insight, often overlooked by retailers, has the potential to guide product offerings and marketing techniques effectively.
The Benefits of Structured Data
New Gen's platform facilitates millions of direct shopper conversations monthly, generating valuable first-party insights. By moving beyond traditional metrics such as site visits and clickstream data, fashion brands can leverage real insights into consumer behavior. This strategic shift positions them to engage more effectively across emerging AI shopping platforms while maintaining control over their data.
With a co-founding team hailing from esteemed companies such as Stripe, Meta, and Bridgewater, New Gen combines extensive technical, product, and design expertise to revolutionize the fashion retail landscape. The launch of their AI infrastructure is anticipated to significantly enhance the way brands interact with customers in an increasingly automated shopping environment.
Conclusion
As the fashion industry stands at the intersection of technological advancement and consumer evolution, New Gen offers a path forward. By ensuring product catalogs are AI-ready and enabling conversational commerce, brands are equipped to navigate the complexities of the digital marketplace better than ever before. For more information on how New Gen is transforming the fashion e-commerce landscape, visit
www.new-gen.ai.