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Home/Case Studies/American Oriental Rug
Case Study: American Oriental Rug
April 27, 2026

How American Oriental Rug Brings Premium Rug Buying to Life Online

A specialist in hand-knotted oriental rugs deploys Imersian to match the depth of the in-store evaluation experience online — with shoppers spending over 19 minutes per visualiser session.

19+ min
Average session duration
~50
Product interactions per session
Desktop-first
Primary browsing device
Quick Read

American Oriental Rug is a specialist in hand-knotted oriental rugs serving a global audience of collectors, trade buyers, and home décor enthusiasts. After deploying Imersian's rug visualiser, shoppers using the tool spend over 19 minutes per session — among the longest dwell times on the platform — and generate close to 50 product interactions per visit. The audience is primarily desktop-driven, consistent with a high-consideration purchase category where buyers invest significant time evaluating a piece before committing.

Key Takeaways

  • Shoppers spend over 19 minutes per visualiser session — reflecting the considered, research-intensive nature of premium oriental rug purchases.
  • Close to 50 product interactions per session: shoppers are placing multiple rugs, comparing configurations, and revisiting placements across a single visit.
  • Sessions are overwhelmingly desktop-driven, consistent with a seated, deliberate buying process for a high-value purchase.
  • The visualiser serves an international audience spanning collectors, trade buyers, and diaspora communities across the US, Asia-Pacific, and the Indian subcontinent.
  • For high-consideration categories, the visualiser functions as the digital equivalent of spreading a rug on the floor — giving shoppers the spatial confidence to commit.

American Oriental Rug: Bringing Premium Rug Evaluation Online

Premium oriental rugs are among the most considered purchases in home décor. Buyers aren’t impulse-shopping — they’re researching provenance, evaluating craft, and imagining how a piece will anchor a specific room for years. The decision deserves the same deliberation as any major investment in the home.

American Oriental Rug is a specialist in hand-knotted oriental rugs, serving collectors, interior designers, and home décor enthusiasts worldwide. With customers across the US, Asia-Pacific, and the Indian subcontinent, their online store needed to deliver the depth of evaluation serious rug buyers expect — without requiring a showroom visit.

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The Challenge: Recreating the Showroom, Digitally

An oriental rug is a tactile, spatial purchase. Buyers want to understand:

  • How colours interact with their flooring
  • Whether the pattern anchors or overwhelms a seating area
  • How the scale reads against walls and furniture

Static product photography can show what a rug looks like, but not how it will live in a specific space. For a specialist retailer whose customers are making high-value, highly considered purchases, this spatial gap isn’t a minor UX issue — it’s a real barrier to confident buying.

See It Live

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More retailers, same playbook

Solution

Rugs

Let shoppers place true to scale rugs in their own rooms before ordering. Imersian's rug visualizer reduces costly size-related returns and lifts conversion for rug retailers.

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NVIDIA's Omniverse NuRec is pushing neural reconstruction 3D visualization to new heights; converting real-world sensor data into photorealistic Gaussian splatting scenes that power physical AI for robotics and autonomous vehicles. The same foundational technology is reshaping how consumers experience products online. Imersian's spatial AI platform brings this same generation of visualization intelligence to furniture and rug retail, giving shoppers the confidence to buy.

Simple Style Co

How Simple Style Co Delivers Spatial Confidence to Australia's Home Décor Shoppers

One of Australia's most-visited home décor destinations deploys Imersian's rug visualiser, with shoppers spending over five minutes per session actively designing in their own rooms.

5.6 minAverage session duration
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