As of late 2022, BoF-McKinsey reported that fashion brands focused on metaverse innovation and commercialization could generate more than 5 percent of revenues by investing in virtual activities today, with global spending on virtual assets expected to reach around $135 billion or higher by 2024. Five years later, the conversation has shifted from hype to pragmatism. The most compelling use case emerging is NFTs as digital twins that host information about a physical product’s history, authenticity, and ownership—especially beneficial for luxury in battling counterfeiting. Phygital fashion, where physical garments come paired with interoperable digital twins, is becoming the bridge between speculative virtual wearables and tangible business value.
What Phygital Fashion Actually Means for Supply Chains
The term “Phygital” describes any service, experience, or product that facilitates the combination of digital and physical aspects. A digital twin is a virtual replica of a real-world product, service, or operation—such as a Hermès Birkin bag, a Schiaparelli dress, or in fashion’s case, a ready-to-wear garment. The Digital Twin Phygital process merges physical and digital worlds to provide users with the best of both worlds.
For apparel brands, this means a customer buying a physical jacket receives a downloadable 3D garment file that works across multiple platforms: social media filters, gaming avatars, virtual fitting rooms, and digital product passports. This isn’t speculative futurism—LeLabPlus, an eco-design lab and production center in Paris, achieved 50% reduction in fabric waste in eco-design workflows and 70% fewer physical prototypes by leveraging digital samples and AI rendering. They replaced costly photoshoots with high-end virtual visuals while preparing zero-waste capsule collections entirely in 3D.
The operational workflow differs significantly from traditional production. When a pattern maker imports a DXF file into 3D software, the typical first friction point is matching fabric drape to actual material weight and weave properties. With phygital workflows, the digital twin must maintain fidelity across two use cases: accurate physical production AND photorealistic virtual display. This dual requirement changes how fashion houses approach tech pack creation, lab dip approval cycles, and fit sessions.
From Digital Prototyping to Interoperable Digital Assets
Style3D delivers end-to-end digital transformation in fashion through scalable workflow solutions, transitioning bi-directionally between CAD and photorealistic 3D visuals. The platform automates nesting, costing, and asset generation for marketing, enabling localized, responsive production with the agility large brands require.
NextCouture, a fashion startup founded in 2021, demonstrates the phygital model for luxury. The company places creative control directly in the hands of customers through an innovative marketplace offering full customization, starting from industrial models rendered in 3D and enhanced by AI. In the past, NextCouture’s high-quality styles did not translate their value as digital assets—the quality of 3D simulation was lost on the web. With Style3D, the joint team delivered high quality in a very short time.
The NextCouture marketplace offers an end-to-end shopping experience combining 3D + AI + shop system. Through integration with Shopify, customers interact with digital garments, customize colors and versions, and see real-time pricing updates. The on-demand business model is designed to be fully sustainable with zero samples, no unnecessary inventory stock, and zero returns. This eliminates the traditional proto-to-fit-to-salesman sample cycle that creates weeks of delay and hundreds of physical samples per collection.
Mey GmbH & Co. KG, a leading European intimates brand, achieved 30% faster product cycles and reduced sampling costs by 40% by integrating CAD Assyst with Style3D’s advanced 3D workflows. Bonprix scaled 3D technology across high-volume production with 35 in-house developers working from a single “golden” digital master, achieving 60% fewer fit issues and 25% faster time-to-market.
The Interoperability Problem: Why Digital Twins Must Work Across Platforms
Interoperability between virtual environments remains the pace driver for mass consumer adoption. Tech players and fashion brands need to develop technologies that evolve today’s unrefined virtual experiences into mature, immersive realities. The challenge: a digital twin created for one platform often cannot be used in another due to incompatible file formats, rendering engines, or simulation parameters.
Style3D supports direct OBJ and FBX imports, but many enterprises use proprietary CAD formats requiring conversion. The platform delivers physics-based fabric simulation, automatic stitching, and virtual try-ons on customizable avatars. However, a garment simulated for e-commerce photorealism may not translate correctly to gaming engines like Unity or Unreal Engine without material property recalculation.
Lablaco is working to link digital IDs to virtual versions of garments, so customers can engage in augmented reality experiences such as try-ons. Seamm, a phygital marketplace, ensures every fashion item possesses a digital twin complete with AR try-on, customization, and integration into metaverses and games. These initiatives address the fragmentation problem, but industry-wide standards remain incomplete.
The common claim that 3D adoption requires replacing the entire PLM stack is not supported by industry evidence—successful rollouts more often begin as a parallel sampling pipeline. Mey’s integration of Assyst CAD with Style3D demonstrates that legacy systems can coexist with digital twin workflows without full replacement.
Honest Limitations: Where Phygital Workflows Still Struggle
Despite advances, phygital fashion faces unresolved tradeoffs. Fabric drape simulation accuracy for performance knits remains imperfect—elastic recovery and compression behavior under dynamic movement are harder to model than static drape. The learning curve for traditional pattern makers is steep; sample-room technicians used to physical fitting may resist transitioning to virtual review workflows.
Hardware requirements matter: real-time Ray Tracing rendering demands GPUs that smaller manufacturers may not have. AI-generated images struggle with consistency across different angles, especially for garments with key design elements on sides or back, requiring extra edits. The metaverse itself faces adoption hurdles—78 percent of people who have ventured into virtual worlds say they miss physical interaction.
Furthermore, if brands partner with virtual platforms, the top-line opportunity may be dampened by high take rates reaching as high as 50 percent commission on revenues. AR technology remains at a relatively early phase of development, where glitchy or unwieldy applications can undermine user experience. Luxury brands must also avoid selling “cheap” digital items that could weaken exclusivity of their brand image.
Digital twins cannot yet predict long-term material fatigue or durability under real-world wear conditions. Traditional sampling still dominates for complex constructions like structured blazers or technical outerwear where performance testing requires physical validation.
Category-Specific Insights: Haute Couture vs. Intimates vs. Ready-to-Wear
Applying phygital workflows to haute Couture differs fundamentally from intimates or ready-to-wear. NextCouture focuses on the luxury segment where customers seek unique and customizable pieces. Their showcase-platform is a space where brands interact with customers, transforming every purchase into an emotional experience.
For intimates, lingerie underwire simulation differs from outerwear in that tension distribution around curved anatomical structures matters more than overall drape. Mey’s digital-first approach ensures consistency across global markets while achieving 30% faster product cycles.
Ready-to-wear brands in the €50M–€500M revenue band benefit from digital twins enabling zero-waste capsule collections entirely in 3D. LeLabPlus uses existing patterns to quickly validate design concepts, revalue existing garments, and enable digital-first collections for B2B clients to review before sample production.
Wolf Lingerie, a France-based company, developed all models directly in 3D and created 10 to 15 color variations instantly using Pantone codes. This translates to testing fabric variations, trim placements, or silhouette adjustments instantly rather than waiting for lab dip turnaround.
Decision Framework: When to Adopt Phygital Digital Twins
Brands should evaluate phygital adoption using this rubric:
The global digital fashion NFT marketplace platform market size was valued at USD 2,165.00 million in 2024 and is projected to reach USD 36,423.04 million by 2034, exhibiting a CAGR of 32.7%. For brands targeting this growth, the phygital model offers a path beyond speculative virtual-only sales.
LeLabPlus achieved 50% reduction in fabric waste and 70% fewer physical prototypes through AI-driven 3D workflows. NextCouture operates with zero samples, no inventory stock, and zero returns. These metrics demonstrate that digital twins deliver tangible operational value beyond marketing narratives.
FAQ Section
What is a phygital garment and how does it work?
A phygital garment combines a physical piece with a digital twin—virtual replica usable across social media, gaming platforms, and AR experiences. The digital twin maintains the same design, materials, and fit as the physical item.
How do digital twins help combat counterfeiting?
NFTs serve as digital twins hosting information about a physical product’s history, authenticity, and ownership—creating tamper-proof records especially beneficial for luxury. Brands can verify ownership and collect royalties from resale.
What is the ROI timeline for phygital implementation?
Brands achieve 30% faster product cycles and 40% reduced sampling costs within 6-12 months of integration. Bonprix achieved 60% fewer fit issues and 25% faster time-to-market.
Can digital twins work across multiple gaming/metaverse platforms?
Interoperability remains a challenge—file format incompatibility and rendering engine differences require conversion. Industry initiatives like Lablaco and Aura Blockchain Consortium are working toward standards.
What categories benefit most from phygital workflows?
Luxury, haute couture, intimates, and customizable ready-to-wear benefit most. Technical outerwear and structured tailoring still require physical validation for performance.
How does phygital support sustainability goals?
Digital twins enable 50% fabric waste reduction and 70% fewer physical prototypes. Zero-waste capsule collections can be designed entirely in 3D with zero samples and zero returns.
