AI-driven Virtual Fashion Assistant
At Kvantaras, we are revamping the e-commerce landscape with an AI-infused Virtual Fashion Assistant that integrates effortlessly into apparel e-stores. It leverages user preferences, body metrics, and brand details to administer instant, tailored fashion suggestions alongside a virtual fitting room experience. This not only bolsters customers' purchase assurance but diminishes return rates, and ensures style guidance is available to all.
Vision: Make personal styling accessible for everyone. Mission: Empower shoppers with real-time AI fashion guidance for confident, sustainable shopping.
Our customers: online apparel shoppers wanting personalized style guidance, and e-stores seeking to enhance user experience, reduce returns, and boost cart value.
The Virtual Fashion Assistant tackles online apparel shopping uncertainty—from confusing size charts to style guesswork—by providing real-time, personalized recommendations and virtual try-ons. This reduces returns, boosts shopper confidence, and streamlines the purchase journey.
The problem is serious because high return rates cut into profits, waste resources, and frustrate shoppers who need reliable sizing and style guidance.
Our AI-driven Virtual Fashion Assistant provides real-time, personalized fashion recommendations and virtual try-ons to online shoppers.
AI, Machine Learning, 3D Modeling, Image Recognition, and User Interface Design.
We combine user data, store inventory, and 3D modeling with AI-driven machine learning and image recognition to offer real-time, personalized outfit and size recommendations via an easy UI.
Shoppers get tailored style advice, fewer returns, saved time, and higher satisfaction. Retailers see bigger sales, loyalty, and reduced costs.
We estimate the market size for which our solution is designed in monetary terms as follows
Is our goal in the next 3 years
My key role is leading product development, and I'm responsible for managing AI research, integrating it with e-commerce platforms to ensure a seamless user experience while balancing technology, design and client needs.
Consider adding a skilled marketing strategist and a financial advisor to help drive growth and maintain budgetary balance.
Competitors include e-commerce personalization platforms (True Fit, Fit Analytics, Vue.ai) and AI-driven styling services (Stitch Fix, Amazon’s Echo Look). They offer size/fit or style guidance but often lack integrated 3D modeling for immersive user experiences.
Leveraging advanced 3D modeling and real-time AI styling, our solution offers smaller e-stores an immersive and personalized shopping experience. It significantly reduces returns, drives engagement, and fosters customer loyalty.
We monetize by charging a per-item fee each time a shopper buys through our tool. We also earn from integrations, e-shop enhancements, and data/analytics packages.
Advancing from Q4 2024, our MVP has undergone notable improvements. Now, it features active code development and includes standard functions along with 2D avatar modeling - a solid base for further upgrades.
Progressing through capital utilization, we'll launch an AI-powered MVP with 2D avatar styling on a pilot e-commerce site. Early user feedback & feature validation will inform our roadmap and secure additional funds.
Product metrics are currently unavailable as the product isn't finalized yet. Stay tuned for comprehensive data once development is complete.
Our startup is backed by co-founder funding and a secured grant, giving us a 6-month runway at our current burn rate. This strong financial foundation fuels our MVP development and market validation, positioning us for the next growth phase.
Our company incorporated in
vilnius
Key risks include technical challenges in seamlessly integrating advanced 3D modeling and AI, ensuring high-quality personalized data, and achieving rapid adoption among retailers. Competitive market pressures and strict data privacy regulations also pose potential obstacles to scalability and overall ROI.
$
60000
We raised investments
self funded by co-founders and also we got a grant of 96,000 EUR . total 120,000 EUR investments so far to run for next 6 months
$
1600000
Currently, we are raising investments
$
Our pre-money valuation is approximately €500K, reflecting our innovative tech, team, and market potential ahead of the recent €120K investment.
Estimated pre-investment valuation of the company
