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Dopplr

Dopplr provides a measurement‑based 3D virtual try‑on platform that creates a true‑to‑scale digital body model from a shopper’s basic measurements, eliminating the need for photos or camera access. The solution renders garments with high‑fidelity fabric physics and offers size recommendations, helping online fashion retailers boost conversion, engagement, and reduce fit‑related returns.

Bangalore, IndiaFounded 202093K+ followers
Updated 2 months ago

Funding

$750K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

CV
Funding rounds are not available yet.

Founders

Product

Problem

Online shoppers cannot reliably assess how garments will fit their bodies using static images and generic size charts, leading to uncertainty, low conversion, and high return rates.

Solution

Dopplr offers a measurement‑based 3D virtual try‑on platform that creates a true‑to‑scale digital body model from a few key shopper inputs (height, bust, waist, hips). The avatar reflects the shopper’s actual body structure without requiring photos, facial scans, or personal data. Garments are rendered with high‑fidelity fabric physics, showing realistic drape, stretch, and silhouette on the personalized avatar. Shoppers can instantly visualize outfits, receive size recommendations, and explore full looks, enabling confident purchase decisions. Brands integrate the solution into existing e‑commerce sites to provide an immersive, privacy‑safe experience that reduces fit‑related returns and boosts conversion.

Target Audience

Primary customers are online fashion retailers and brands across categories such as innerwear, dresswear, footwear, outerwear, and activewear that seek to improve fit confidence, reduce returns, and increase sales on their digital storefronts.

Features

  • Measurement‑driven 3D body avatars generated from basic shopper inputs, eliminating the need for image uploads or camera access
  • High‑precision garment rendering that simulates fabric behavior, drape, and stretch for realistic fit visualization
  • One‑tap try‑on interface delivering instant product display on the personalized avatar
  • Outfit composition tool allowing shoppers to style complete looks and see how items coordinate on their body
  • Size recommendation engine that suggests the optimal size based on the avatar’s proportions and garment dynamics
  • Easy integration via embeddable widgets compatible with common e‑commerce platforms, requiring no changes to existing workflows
This profile is AI-generated and may contain inaccuracies.