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Augmented Reality Shopping Application for Enhanced Consumer Engagement and Reduced Product Returns
  1. case
  2. Augmented Reality Shopping Application for Enhanced Consumer Engagement and Reduced Product Returns

Augmented Reality Shopping Application for Enhanced Consumer Engagement and Reduced Product Returns

emerline.com
Retail
eCommerce

Identified Challenges in Traditional Online Retail Experiences

The client faces issues such as high return rates, poor customer experience, and ineffective sales strategies due to limited product visualization options. Customers find it difficult to assess products remotely, leading to dissatisfaction and lack of confidence in online purchases. During peak periods like the pandemic, retaining and attracting new customers has become increasingly challenging.

About the Client

A mid-sized retailer seeking to transform its online shopping experience by integrating AR capabilities to improve customer satisfaction, increase sales, and minimize product returns.

Goals for Implementing an AR-Enabled Shopping Solution

  • Enhance user engagement and provide an interactive, immersive product exploration experience.
  • Reduce product return rates by enabling realistic virtual try-on and visualization.
  • Attract new customers and retain existing ones through innovative shopping features.
  • Decrease logistical costs related to product transportation and returns.
  • Leverage AR technology to create a 'try before you buy' experience that aligns with modern consumer expectations.

Core Functional Features for the AR Shopping Platform

  • AR-enabled virtual fitting rooms allowing users to visualize products in a real-world environment without physical interaction.
  • Photorealistic 3D models of products to provide high-quality visualizations.
  • 360-degree view capability enabling users to observe products from all angles.
  • Quick search and filtering tools for efficient product discovery.
  • Options to capture and share screenshots/images with friends or family for advice.
  • Potential integration of size-fitting or customization features to improve product fit accuracy.

Technology Stack and Platform Preferences

Mobile development languages such as Kotlin (Android) and Swift (iOS)
AR frameworks including ARKit (iOS) and ARCore (Android)
3D rendering engines like SceneKit (iOS) and Sceneform (Android)

External System and Data Integrations

  • 3D product model data formats from product management systems
  • Social media sharing functionalities
  • Size and fit calibration services (if applicable)

Performance, Security, and Usability Standards

  • Realistic AR visualization with minimal latency, ensuring close to real-life experience
  • Support for a broad user base with scalable infrastructure
  • Secure handling of user data and sharing functionalities
  • High availability and uptime to ensure seamless shopping experience

Projected Business Outcomes and Value Addition

Implementing an AR shopping app is expected to increase footwear sales by approximately 7%, attract 28% more new buyers, reduce product returns by 15%, and cut transportation costs by up to 50%. The platform aims to create engaging, fun, and efficient shopping experiences, thereby strengthening customer loyalty and brand reputation in the retail industry.

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