847 furniture models generated this month
Furniture,
in 3D.
Upload your sofa photos. Get a high-fidelity 3D viewer your customers can spin, zoom, and explore on every product page. Built for Shopify, no developer required.
THE PROBLEM
Furniture has the worst return problem in ecommerce. Photos are why.
The average US furniture order is $546. Processing a single returned sofa costs between 20% and 65% of its original sale price. With return rates hovering near 23%, that's not a margin issue. That's a margin crisis.
Three things make furniture uniquely hard to sell online: shoppers can't test it, context matters more than the object itself, and the friction of returning a couch is high enough that customers often keep things they hate and never buy from you again.
"The financial loss per return is only the visible cost. The hidden costs include the customer who never returns, the review they leave, and the competitor who wins their next purchase."
DHL Ecommerce Trends Report · 2025
Better return policies don't solve this. Better product pages do.
THE data
What 3D actually does to the numbers.
This isn't speculative. Major furniture retailers have already run the experiment.
EQ3 reported a 36% increase in conversions, 88% increase in average order value, and 116% increase in page views after rolling out 3D visualization.
DFS, the UK's largest sofa retailer, reported a 112% conversion lift among shoppers who engaged with its 3D platform across 10,000+ SKUs.
Wayfair found AR users are 11x more likely to buy. Pottery Barn measured 35% higher purchase likelihood. Ashley saw 28% improvement in online-to-store conversion.
The pattern is consistent: when buyers can rotate, configure, and place the product in their space, hesitation drops.
What buyers need
The three things every furniture shopper needs to see.
Better return policies don't solve this. Better product pages do.
“I need to see all options without confusion”
"I need to understand what I’m actually looking at"
“I need to know if it will actually fit"
Hangr solves this with:
variants

Hotspots

dimensions
