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Development of a Custom Mobile and Web Platform to Enhance Client Engagement and Data Analytics
  1. case
  2. Development of a Custom Mobile and Web Platform to Enhance Client Engagement and Data Analytics

Development of a Custom Mobile and Web Platform to Enhance Client Engagement and Data Analytics

compu-vision.me
Retail
Consumer products & services

Retail Business Challenges in Customer Engagement and Data Management

The client faces difficulties in providing a seamless omnichannel experience for customers and struggles with fragmented data analytics, leading to suboptimal marketing campaigns and operational insights. They need a unified platform that connects mobile, web, and backend systems to improve customer interaction and data utilization.

About the Client

A mid-sized retail chain seeking to digitalize customer engagement and internal analytics processes to improve sales and operational efficiency.

Goals for Enhancing Retail Digital Infrastructure

  • Develop a comprehensive mobile app and website to facilitate seamless customer engagement.
  • Implement an internal analytics dashboard to centralize and visualize sales, customer behavior, and inventory data.
  • Improve data collection, processing, and reporting to enable targeted marketing and operational decision-making.
  • Achieve measurable improvements in customer retention, engagement metrics, and sales throughput.

Core Functional Capabilities for Retail Engagement Platform

  • Customer Mobile App and Website Interface: enabling browsing, purchase, and personalized offers.
  • Unified User Authentication and Profile Management: for seamless login across platforms.
  • Real-Time Data Analytics Dashboard: providing visualization of sales trends, customer behavior, and inventory levels.
  • Push Notification and Marketing Automation Module: to enhance customer engagement.
  • Inventory and Order Management System Integration: ensuring accurate stock levels and order tracking.
  • Data Security and User Privacy Features: adhering to GDPR and data protection standards.

Technology Stack and Architectural Preferences for Retail Platform

React.js for front-end development
Node.js and Express for backend services
Cloud-based infrastructure (e.g., AWS or Azure)
RESTful APIs for system integrations
Data visualization tools like D3.js or Tableau

External Systems and Data Sources for Complete Retail Solution

  • Payment gateway APIs for secure transactions
  • Inventory management systems
  • Customer relationship management (CRM) tools
  • Marketing automation platforms
  • Third-party analytics services

Performance and Security Standards for Retail System

  • System scalability to support increasing user base with minimal latency
  • High availability and uptime (>99.9%)
  • Data encryption both at rest and in transit
  • Compliance with GDPR and relevant data privacy standards
  • Response time for user actions under 2 seconds

Projected Business Benefits from the Retail Digital Transformation

The implementation of this integrated platform is expected to improve customer retention rates by 15%, increase online sales by 20%, and provide actionable insights that lead to a 10% reduction in inventory costs. Enhanced data analytics will support more targeted marketing campaigns, ultimately boosting overall revenue and operational efficiency.

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