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Being Transparent About Limitations

Virtual try-on is a powerful tool, but it’s not magic. Understanding its limitations helps set realistic expectations and ensures the best customer experience.

Core Limitations

1. Style, Not Sizing

What virtual try-on shows:
  • How the style looks on you
  • Color and pattern visualization
  • Overall garment appearance
  • How the product looks on different body types
What virtual try-on does NOT show:
  • Whether a size will fit
  • Precise sizing recommendations
  • Fit predictions
Looksy helps customers see how products look (style), not whether they’ll fit (sizing). Always provide size charts and fit descriptions alongside virtual try-on.
Virtual try-on reduces style-related returns (doesn’t look as expected, color doesn’t suit). It doesn’t solve sizing issues.

2. Visual Representation

The AI model delivers highly realistic results across all product types. What customers see:
  • Realistic garment rendering
  • Accurate colors and patterns
  • Natural placement on their body
  • All textures, embellishments, and details
What’s not represented:
  • Physical sensation (fabric feel, weight, breathability)
  • How the fabric moves
  • Tactile properties
Better product images and selfies produce better results. Quality in = quality out.

3. Product Coverage

Fully supported:
  • All apparel (tops, dresses, outerwear, activewear, swimwear, pants, shorts, skirts)
  • Accessories (jewelry, bags, scarves, hats, belts, sunglasses)
  • Footwear (sneakers, boots, heels, sandals, all shoe types)
Coming soon:
  • Multi-item try-on (try on multiple products simultaneously)
Looksy works on all fashion products. The AI adapts to any product type.

Revealing Products

Only product limitation: Very revealing garments may fail to generate results. Examples:
  • Lingerie
  • Very revealing swimwear
  • Extremely revealing clothing
Why: Protection against misuse. Recommendation: Disable these products in your Looksy admin if you encounter issues.

Image Quality Dependencies

Virtual Try-On is Only as Good as Your Images

Input matters:
  • Poor product images → Poor try-on results
  • Low-quality selfies → Inaccurate rendering
  • Busy backgrounds → Garment isolation issues
Cannot fix:
  • Fundamentally poor photography
  • Very low resolution images
  • Extremely bad lighting
Can help:
  • Modest lighting issues (brightening, contrast)
  • Simple background removal
  • Minor quality enhancements
If you invest in high-quality product photography, virtual try-on will deliver great results. Garbage in, garbage out.

Technical Limitations

Internet Connection Required

Why: AI processing happens on cloud servers Impact:
  • Won’t work offline
  • Slow connections = slower results
  • No connection = feature unavailable
Mitigation: Looksy is optimized for mobile networks (4G/5G work great, 3G is slower but functional)

Device Requirements

Minimum:
  • iOS 13+ or Android 8+
  • Modern browser (Chrome, Safari, Firefox, Edge)
  • Camera for taking selfies (or ability to upload photos)
Not supported:
  • Very old devices (iPhone 6 and older, Android 7 and older)
  • Internet Explorer
  • Severely outdated browsers
Impact: Small percentage of users (< 5%) may not be able to use the feature

Processing Time

Typical: 15-20 seconds Factors that increase time:
  • Slow internet connection
  • Large image file sizes
  • Server load during peak times
Limitation: Not instant (unlike viewing product photos) Mitigation: Looksy optimizes for speed, but physics prevents instant results. Most customers find 15-20 seconds acceptable.

Accuracy Limitations

Body Type Diversity

Supported:
  • Wide range of body types
  • Diverse skin tones
  • Various ages
Better results:
  • Standard proportions
  • Full body shot showing more of the body
  • Enough body visible for garment placement
Challenges:
  • Extreme proportions (very tall/short, very large/small)
  • Unusual poses or angles
  • Poor selfie quality
Why: AI is trained on diverse data, but extreme edge cases may not render as accurately
Looksy is trained on inclusive datasets and works across body types. Very unusual proportions may see slightly less accurate results.

Lighting Variation

Challenge: Selfie lighting affects color perception Example:
  • Selfie in yellow indoor lighting → Garment appears warmer
  • Selfie in blue outdoor lighting → Garment appears cooler
Limitation: Cannot fully compensate for colored lighting in selfies Recommendation: Instruct customers to use neutral lighting (natural daylight or neutral white LEDs)

No Physical Sensation

Cannot convey:
  • Fabric feel (soft, rough, stretchy)
  • Weight of garment
  • Warmth or breathability
  • How fabric moves
Why: Virtual try-on is visual only Recommendation: Provide detailed product descriptions covering fabric feel, weight, and other tactile properties

Use Case Limitations

Not for All Product Categories

Works well:
  • Fashion apparel
  • Activewear
  • Casual wear
  • Formal wear
Doesn’t work (currently):
  • Home goods
  • Furniture
  • Electronics
  • Beauty products
  • Accessories (most types)
Why: Looksy is purpose-built for apparel try-on. Other product categories require different technologies.

Not a Full Virtual Fitting Room (Yet)

Current: One item at a time Cannot do (yet):
  • Try on multiple items simultaneously
  • Build complete outfits
  • Mix and match
  • See full-body view (with pants + top)
Future: Multi-item try-on is on the roadmap for 2026-2027

Privacy Limitations

Requirement: Customers must opt-in to use try-on Cannot:
  • Force customers to use the feature
  • Use photos without permission
  • Store images without consent
Why: Privacy regulations (GDPR, CCPA) require explicit consent Impact: Some customers won’t use the feature, and that’s okay. It’s opt-in only.

No Stored Customer Data

Benefit: Maximum privacy Limitation: Cannot save try-on history or preferences (without customer account creation) Why: Looksy prioritizes privacy by not storing images Workaround (future): Optional customer accounts for saving try-ons

Competitive Limitations

Not the Only Factor in Conversions

Virtual try-on helps, but doesn’t fix:
  • Poor product selection
  • Uncompetitive pricing
  • Bad customer service
  • Slow shipping
  • Low-quality products
Reality: Virtual try-on increases conversions 15-25%, but it’s not a silver bullet for all e-commerce challenges.
Virtual try-on is one tool in your e-commerce toolkit. Combine it with great products, pricing, and service for best results.

Other Merchants Have It Too

Initially: Competitive advantage (most stores don’t have try-on) Over time: More stores will adopt virtual try-on Your advantage: Implementation quality, product selection, optimization Recommendation: Focus on executing well, not just having the feature

Setting Customer Expectations

What to Tell Customers

Do say:
  • “See how the style looks on you”
  • “Visualize the garment before you buy”
  • “Get a realistic preview of the product”
  • “Helps you decide if the style is right for you”
Don’t say:
  • “Perfect fit guarantee”
  • “100% accurate representation”
  • “Exactly how it will look in person”
  • “Replaces trying on in-store”

Managing Disappointment

If customers say “it doesn’t look exactly like me”:
  • Acknowledge it’s an approximation
  • Emphasize it’s for visualizing style, not exact fit
  • Point to size charts for fit guidance
  • Offer hassle-free returns if unsure
Under-promise and over-deliver. Set realistic expectations, and customers will be pleased with the results.

When Not to Use Virtual Try-On

Situations Where Try-On May Not Help

  1. Very low-quality product images
    • If you can’t improve images, don’t enable try-on
  2. Products with critical fine details
    • If details are essential and won’t render well, skip try-on
  3. Non-apparel products
    • Stick to clothing for now
  4. Stores with very low traffic
    • If < 500 monthly visitors, ROI may be minimal (but still positive)
  5. When customers need tactile feedback
    • Fabrics where feel is critical may not benefit as much

Continuous Improvement

Looksy is Always Improving

Current limitations that will be addressed:
  • Multi-item combinations (ongoing)
  • Enhanced texture rendering (ongoing)
  • Faster processing (ongoing)
  • Better edge case handling (ongoing)
How we improve:
  • Model updates every quarter
  • New training data
  • Algorithm optimizations
  • Customer feedback integration
Limitations listed here are current as of January 2026. Many will be resolved with future updates.

Questions About Limitations

Many will. Better texture rendering and multi-item combinations are on our roadmap. Some limitations (like input quality affecting output quality) are inherent to the technology.
No. Current technology delivers strong ROI for most stores. Install now to start benefiting, and you’ll automatically get updates as we improve.
Test during the free preview. If results don’t meet your standards, you can disable try-on or not proceed past the preview. No risk.
Looksy is among the most accurate and fastest solutions on the market. Some enterprise solutions may have marginal improvements but cost 10-50x more.

The Bottom Line

Virtual try-on is not perfect, but it’s highly effective. Despite limitations:
  • 10-25% conversion increase
  • 15-30% return reduction
  • 5-10x ROI
  • High customer satisfaction
Most limitations are:
  • Well-understood
  • Manageable with proper setup
  • Being actively improved
For the vast majority of apparel stores, the benefits far outweigh the limitations.

Next Steps