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Frontend Migration to React for Visual Merchandising Platform Enhancing Performance and User Engagement
  1. case
  2. Frontend Migration to React for Visual Merchandising Platform Enhancing Performance and User Engagement

Frontend Migration to React for Visual Merchandising Platform Enhancing Performance and User Engagement

beon.tech
Retail
eCommerce
Business services

Identifying challenges in managing and optimizing visual merchandising data across retail stores

The client’s existing platform is built on a legacy Ruby on Rails frontend, which poses challenges in scalability, performance, and maintainability. The extensive codebase hampers quick updates and hinders integration with modern frontend frameworks, leading to inefficiencies in store plan generation, image analysis, and overall data accessibility for the internal team.

About the Client

A large retail organization with a national presence, managing extensive visual merchandising data across multiple store locations, requiring a centralized and efficient platform.

Transforming the visual merchandising platform for improved performance and usability

  • Successfully migrate the frontend from a legacy framework to a modern, high-performance React-based system.
  • Enhance platform responsiveness, load times, and user experience to support large-scale retail operations.
  • Improve system maintainability and scalability to accommodate ongoing feature development.
  • Enable an intuitive interface for the creation, management, and analysis of visual merchandising plans.
  • Implement AI-powered image analysis to ensure accurate execution of store plans.

Core functional capabilities for the new visual merchandising platform

  • Automated generation of personalized merchandising plans for individual stores.
  • AI-driven image analysis for verifying plan execution accuracy.
  • A centralized dashboard providing access to all visual merchandising data.
  • Responsive user interface optimized for various devices and store environments.
  • Role-based access controls for different team members.
  • Reporting modules with detailed analytics and activity logs.
  • Real-time updates and notifications for plan status and image analysis results.

Preferred Technologies and Architectural Approaches

React.js for frontend development
Modern JavaScript (ES6+)
Component-based architecture
Responsive design frameworks
API-driven communication with backend services

Essential System Integrations

  • Backend API services for data retrieval and updates
  • AI/ML modules for image analysis (possibly via external AI services)
  • User authentication and authorization systems
  • Third-party reporting and analytics tools

Key Non-Functional Requirements

  • System must support scalability to handle data across thousands of stores concurrently.
  • Frontend load times should be under 2 seconds at normal usage with optimized performance.
  • High availability with 99.9% uptime SLA.
  • Security measures to protect sensitive visual and operational data.
  • Maintainability with modular code to facilitate ongoing enhancements.

Expected Business Outcomes and Benefits from the Project

The new React-based visual merchandising platform aims to significantly reduce time spent on plan generation and verification, improve accuracy through AI analysis, and enhance user engagement. Anticipated benefits include higher operational efficiency, decreased errors, and a more agile system capable of scaling with future retail expansion, aligning with improved store execution and increased brand consistency.

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