Development of an AI/ML-Powered Augmented Reality Footwear Fitting Solution

The client faces difficulty in accurately determining the fit, size, and comfort of footwear for online customers, leading to high return rates and reduced customer satisfaction. Their legacy solutions present security vulnerabilities and require manual maintenance, hindering scalability and seamless integration into omnichannel retail strategies.

A large-scale, technology-focused retailer specializing in fashion accessories and footwear, aiming to enhance online shopping experiences and reduce product returns through innovative digital solutions.

• Create a secure, user-friendly mobile application enabling customers to determine footwear fit and comfort from their smartphones.
• Achieve high accuracy in size and contour measurement with an error margin of less than one millimeter.
• Increase customer engagement and sales through innovative AR and AI features, targeting at least a 3x increase in engagement.
• Reduce product returns due to incorrect sizing by approximately 50-60%.
• Ensure compatibility with existing retail infrastructure and support periodic enhancements and additional measurement features.
• Support contactless, hygienic shopping experiences aligned with current health standards.

• Camera-enabled foot imaging using smartphone cameras with AR overlays for real-time attribute capture.
• AI-driven algorithms that analyze captured images to determine foot size, contours, and related parameters with high precision.
• A secure data processing pipeline that masks or anonymizes user identity information to protect privacy.
• Integration with product catalogs to recommend optimal footwear sizes, designs, or custom options based on measurements.
• A user interface that guides customers through the measurement process and displays personalized footwear suggestions.
• Option for customers to customize footwear designs based on their measurements.

• Product catalog system for fetching footwear options and sizes.
• Customer profile management systems for storing user preferences and measurement history.
• Analytics and feedback tools for ongoing model improvement and user experience enhancement.

• High accuracy in foot measurement with less than 1mm margin of error.
• Scalability to handle incremental user loads, supporting growth in customer base.
• Robust security measures to ensure user data privacy, especially around image and biometric data.
• Performance optimized for real-time AR processing without lag.
• Compliance with relevant privacy and security standards (e.g., GDPR).

The implementation of the AR-based footwear fitting platform is expected to significantly enhance customer engagement and satisfaction, leading to approximately a threefold increase in user interactions and a 17% growth in the target demographic segment. It is anticipated to reduce online product returns by around 50-60%, streamline contactless purchasing, and position the client as a technological pioneer in the retail footwear industry.