Fashion Tech

AI, body scanning, virtual try-on, and digital fashion

Technology is transforming how we find clothes that fit. AI body scanning can capture your measurements from a phone video. Digital tailoring can adjust patterns automatically. Virtual try-on shows how clothes might look. Our fashion tech coverage separates hype from reality—what works, what doesn't, and what's coming next.

Key Statistics

±1cm
Accuracy of AI body scanning
Source: Industry average
24%
Fit tech market growth (CAGR)
Source: MarketsandMarkets 2023
61%
Consumers interested in virtual try-on
Source: Shopify 2023
Up to 50%
Return reduction with fit technology
Source: Various case studies

Key Terms

AI Body Scanning

Using artificial intelligence to extract 3D body measurements from photos or videos, typically using just a smartphone camera.

Virtual Try-On (VTO)

Technology that shows how clothing might look on you, either through augmented reality or by rendering clothes on a digital avatar.

Digital Tailoring

Software that automatically adjusts garment patterns based on body measurements, enabling scalable made-to-measure production.

On-Demand Manufacturing

Production systems that make garments only when ordered, reducing waste from unsold inventory.

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Frequently Asked Questions

How accurate is phone-based body scanning?

Modern AI body scanning achieves accuracy within 1-2cm for most measurements—comparable to professional tailors. The technology uses machine learning trained on large datasets to infer 3D body shape from 2D video or photos.

Does virtual try-on actually help with fit?

Virtual try-on helps visualize style and drape but doesn't guarantee fit on its own. VTO shows how clothes look, not whether they'll fit at critical points like shoulders, waist, and rise. It's most effective when combined with accurate body measurements.

Will AI replace tailors?

AI won't replace skilled tailors for complex garments, but it will make basic fit adjustments more accessible. Technology handles measurement capture and pattern grading; human expertise is still needed for fit judgment and construction.

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