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Development of an AI/ML-Powered Augmented Reality Footwear Fitting Application
  1. case
  2. Development of an AI/ML-Powered Augmented Reality Footwear Fitting Application

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

trigent.com
Retail
Consumer products & services
Information technology

Challenges in Online Footwear Fitting and High Return Rates

Determining precise foot size and contours is critical for footwear comfort and fit, yet online shopping lacks physical trials, leading to high return rates. Legacy systems pose security risks with outdated protocols, manual maintenance, and open firewall ports. A digital solution is required to address these challenges while integrating seamlessly into omnichannel experiences.

About the Client

A technology-driven fashion accessories retailer specializing in comfort and wellness footwear, leveraging cognitive technologies for omnichannel shopping experiences.

Objectives for Developing an AI/ML-Driven AR Footwear Fitting Solution

  • Create a mobile-first AR application for accurate foot measurement using AI/ML
  • Reduce product returns by enabling precise footwear fit determination
  • Enhance user engagement and sales through innovative contactless shopping
  • Ensure data security and compliance with privacy regulations
  • Enable seamless integration with existing product catalogs and omnichannel platforms

Core Functionalities and Key Features of the AR Footwear Fitting Application

  • AR-based foot scanning using smartphone cameras
  • AI/ML algorithms for size and contour analysis
  • Real-time footwear recommendations from product catalog
  • Custom design options for personalized footwear
  • Data anonymization and encryption for user privacy

Preferred Technologies for AR Footwear Fitting Application

Augmented Reality (AR)
Artificial Intelligence (AI)/Machine Learning (ML)
Computer Vision
IoT Sensors

Integration Requirements for Seamless Operation

  • Existing product catalog systems
  • IoT sensor data pipelines for foot health metrics

Non-Functional Requirements for Scalability and Security

  • Data security with end-to-end encryption and anonymization
  • Scalability to handle high user traffic during peak periods
  • Performance optimization for varying lighting and environmental conditions
  • Compliance with GDPR/CCPA and other data privacy regulations

Expected Business Impact of the AR Footwear Fitting Solution

The solution is projected to reduce product returns by over 50%, increase user engagement and sales by 3x, and expand the millennial user base by 17%. It will position the client as a technology innovator in retail, enable contactless transactions, and provide a foundation for future measurement-based applications.

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