What if trying was no longer a step, but the start of buying?
Mayavarta powers phygital commerce, bridging the gap between physical retail and immersive digital experiences. From virtual eyewear try-ons to AI-driven makeup filters, we enable brands to deliver real-time, hyper-personalized shopping journeys.
Explore Your Category & See AR in action.
Today’s shoppers demand immersive touchpoints, not static thumbnails. With Mayavarta, brands unlock frictionless AR try-ons, phygital product storytelling, and AI-personalized experiences that scale seamlessly across platforms. From fashion to eyewear to home décor, Mayavarta brings phygital realism to online shopping, making digital feel as tangible as in-store.
Why choose Mayavarta AR for a dual-channel market strategy?
Two‑channel growth engine
Website AR converts high‑intent traffic; Snap/TikTok filters drive reach, UGC, and creator commerce using the same 3D assets.
Lower returns, higher AOV
True‑to‑fit try‑ons reduce guesswork and upsell complementary SKUs via AR bundles on PDP and social.
Fast go‑live
Prebuilt viewers, platform‑ready filter templates, and managed creator ops compress launch timelines for campaigns and drops.
Instant Try‑On, Anywhere
Deliver frictionless, zero‑latency AR try‑ons for eyewear, cosmetics, wigs, jewelry, and apparel directly on the brand website and through platform‑native filters for Snapchat and TikTok to capture high‑intent shoppers on site while unlocking viral discovery on social, pairing SKU‑accurate 3D with face and hand tracking for true‑to‑fit previews, which reduces size anxiety, accelerates add‑to‑cart, and converts impulse views into measurable sales across both owned and social channels.
Plug‑In. Sell More.
Integrate Mayavarta with leading e‑commerce platforms for one‑click AR viewers, PDP embeds, and UTM‑tagged links for Snapchat/TikTok filters so teams can launch try‑ons and product visualization without code debt, maintain a single source of truth for assets, and attribute revenue from website interactions and social AR sessions to the same product catalog for end‑to‑end performance visibility.
One Engine, Every Category
Use a single AR layer across beauty, fashion, furniture, footwear, and accessories with material‑accurate shaders and true‑scale placement on web plus creator‑ready filter packages for Snap/TikTok, enabling rapid campaign pivots, seasonal drops, and influencer collaborations while keeping QA, analytics, and compliance standardized across all channels.
From Store Aisles to Social Feeds
Combine QR‑powered in‑store try‑ons and print‑to‑AR with website viewers and social filters to orchestrate a phygital journey where shoppers discover via TikTok/Snap, evaluate on PDP in AR, and purchase online or in store, giving D2C, B2B, and enterprise retailers a scalable framework to drive trials, reduce returns, and uplift store conversions with the same asset set.
AR That Proves Itself
Track session heatmaps, engagement funnels, and assisted‑conversion lift from both website AR sessions and Snap/TikTok filter interactions with unified attribution, allowing marketing teams to compare CPV, CPC, and ROAS across channels, identify high‑performing SKUs and creators, and reallocate spend toward the formats that move inventory fastest.
Always‑On AR Ops
Rely on proactive monitoring, uptime SLAs, and creator support for social filters alongside standard web support so launches, influencer pushes, and flash sales remain stable, with rapid asset tweaks, moderation‑safe filter updates, and campaign‑day war rooms to protect revenue during peak moments across web and social.
Photoreal Twins at Scale
Produce photorealistic 3D product twins optimized for lightweight web rendering and platform‑compliant social filters so every detail—from gloss to fabric drape—is preserved, enabling consistent visuals on PDPs, AR viewers, and Snap/TikTok try‑ons, while version control ensures promotions and price changes propagate everywhere in minutes.
From Browsing to Buying
Transform static product pages and social posts into interactive AR stories with hotspots for shade/size selection, bundle recommendations, and creator codes, letting shoppers try, compare, and checkout in fewer steps on the website while social filters spark UGC and creator‑led trials that feed remarketing and lookalike audiences for efficient scaling.
Enhance Customer Engagement | Boost Conversions | Stay Ahead of the Curve
