MASTSKAI PRIVATE LIMITED
Cuddalore, Tamil Nadu
In their own words
The e-commerce fashion industry faces a 30-40% return rate, primarily due to sizing and fit issues. This results in massive logistical costs, revenue loss, and a high carbon footprint. Consumers struggle to visualize how garments will look on their specific body types using static images. And the VIRTUAL TRAIL BOX provides 95 percentage of accuracy rate. How does your MASTSKAI propose to solve this problem? "MASTSKAI provides an AI-driven Virtual Try-On (VTO) platform. Using advanced computer vision and pose estimation, we extract precise anthropometric data from a single user-uploaded image. Our platform simulates garment drape and fit in real-time using Augmented Reality (AR). By integrating our 'Adaptive Sizing and Interaction Fusion' (ASIF) algorithms, we provide hyper-personalized size recommendations that bridge the gap between digital browsing and physical trials and no need to use of physical trail room for changing of garments in stores. What is the uniqueness of our solution? Unlike generic size charts, MASTSKAI uses to ensure ergonomic accuracy. Our proprietary 'Garment Matching Algorithm' (GMA) which gave real-world body by capturing the 3d side view of the parameters and then it integrates to ASIF logarithm table and fetch the formula according to the body types. The platform is built on a modular, API-first architecture, allowing seamless 'plug-and-play' integration for any e-commerce brand. How does our startup generate revenue? Subscription Tiers: Monthly/Annual fees for retailers based on Display model (VTB) it reduce the time to customers while they spend on the physical trail room and it will also replace the security fear. The VTB increase the customers rate to the stores while they implement the product. While consideration on e-commerce site the profit is maximum affected by the return of products especially on Garments due to mismatching of size while using VTB it will increase the profit rate to the e commerce site.
Written by the company on its public Startup India profile. Not verified by us.
What the record says
- DPIIT recognition number
- DIPP242190
- CIN
- U62011TN2025PTC187953
- Registered on Startup India
- 2026
- Self-declared stage
- Validation
Where this is
District
Cuddalore
Tamil Nadu
Startup India records the district. We do not have a street address for this company, and we will not invent one.
No point is drawn, because we do not have one.
Geocode confidence: low
What we do not know
- no incorporation date
- no funding signal of any kind
- no address beyond the district
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