E-commerce platforms increasingly compete not only on pricing and product variety, but also on customer experience. One of the biggest gaps in online shopping is the inability to confidently visualize how a product will look before making a purchase.
This creates hesitation in the buying journey and contributes to abandoned carts and avoidable returns. Customers expect more immersive and personalized shopping experiences that reduce uncertainty and make digital commerce feel closer to in-store decision-making.
This project was built to address that challenge by introducing an AI-powered virtual try-on experience designed to improve confidence, engagement, and conversion potential.
Enables users to preview products on themselves before purchase through AI-assisted try-on simulation.
Allows customers to upload an image and interact with the try-on experience in a simple and intuitive way.
Uses image processing and rendering logic to position products realistically within the user’s visual context.
Adds a more engaging product discovery experience that helps users make more confident purchase decisions.
Helps reduce purchase hesitation by giving users a stronger sense of how products may appear before checkout.
Designed to improve user interaction, time on product pages, and conversion potential for e-commerce platforms.
The project began by identifying a common e-commerce challenge — customers often hesitate to purchase products online when they cannot confidently visualize how the product will look in real life.
I studied the customer decision journey in digital shopping and mapped where uncertainty affects engagement, conversion, and return behavior.
The initial scope focused on creating a more immersive and interactive product experience that could increase customer confidence during the buying journey.
The solution was designed as an AI-powered try-on experience with a strong emphasis on usability, visual clarity, and customer interaction.
Multiple iterations were used to improve image alignment, rendering flow, and user interaction so the try-on experience felt intuitive and engaging.
The build focused on creating a realistic and conversion-oriented product interaction flow suitable for modern e-commerce platforms.
Helps customers make more informed buying decisions by visualizing products before purchase.
A more interactive shopping experience can reduce hesitation and improve checkout intent.
Adds personalization and immersion to the digital shopping journey, making it more engaging and memorable.
Demonstrates how AI can be applied in practical, customer-facing use cases that directly support business outcomes.
Try the AI-powered virtual try-on experience and explore how products can be visualized before purchase.
🔗 tryon.mayurgite.com