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Augmented Reality Shopping Assistant Application for Smart Eyewear
  1. case
  2. Augmented Reality Shopping Assistant Application for Smart Eyewear

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Augmented Reality Shopping Assistant Application for Smart Eyewear

sigma.software
Retail
eCommerce
Information technology

Challenges in AR Integration for Retail Shopping

Existing shopping assistance tools lack seamless augmented reality integration, making real-time product information access and cart management inefficient. Traditional barcode scanning solutions fail to provide contextual, hands-free user experiences in retail environments.

About the Client

Technology innovation lab focused on augmented reality solutions for retail and consumer engagement

Development Goals for AR Shopping Assistant

  • Create AR-enabled shopping assistant for hands-free product scanning
  • Implement real-time virtual cart management with cost calculation
  • Enhance retail customer experience through contextual product information overlay
  • Validate practical AR applications for consumer use cases

Core System Functionalities

  • Barcode scanning via smart eyewear camera
  • AR overlay of product details (origin, price, specifications)
  • Interactive virtual shopping cart interface
  • Real-time total cost calculation
  • Product addition/removal gesture controls

Technology Stack Requirements

Augmented Reality SDKs (e.g., ARCore)
Android application development
Cloud-based product database integration
Computer vision libraries for barcode recognition

System Integrations

  • Retail product databases
  • Payment gateway APIs
  • Smart eyewear hardware SDKs

Performance Criteria

  • Low-latency AR rendering (<50ms response time)
  • Secure customer data handling
  • Scalable cloud architecture for concurrent users
  • Battery-efficient operation on wearable devices

Expected Business Impact of AR Shopping Assistant

Implementation of AR-based shopping assistance is projected to reduce checkout times by 30%, increase customer engagement through real-time product information, and enable retailers to collect valuable shopping behavior analytics. The solution demonstrates practical AR applications for everyday consumer scenarios while improving purchase decision efficiency.

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