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Development of a Scalable Digital Asset Management and CRM Integration Platform for eLearning Content Distribution
  1. case
  2. Development of a Scalable Digital Asset Management and CRM Integration Platform for eLearning Content Distribution

Development of a Scalable Digital Asset Management and CRM Integration Platform for eLearning Content Distribution

spiralscout.com
Education
eCommerce

Identified Challenges in Managing Large-scale Digital Assets and Customer Relationships

The client faces difficulties with slow performance and inefficient retrieval due to an expanding digital asset repository. Additionally, fragmented CRM systems hinder effective subscription management, customer tracking, and sales automation, restricting growth and operational efficiency.

About the Client

A rapidly growing online education provider with an extensive digital asset library, seeking to streamline content management and customer engagement for global distribution.

Goals for Developing a Scalable Digital Asset and Customer Management System

  • Design and implement a custom Digital Asset Management (DAM) system to enable seamless storage, categorization, and high-speed retrieval of vast eLearning content libraries.
  • Develop an integrated CRM and user management module to improve subscription tracking, automate renewals, and foster better customer engagement.
  • Create an intuitive sales interface with real-time customer data, automated alerts, and seamless subscription management to enhance sales team efficiency.
  • Ensure the platform supports rapid scaling to accommodate ongoing growth and content expansion.
  • Automate content distribution workflows to facilitate faster delivery of training materials and online courses.
  • Achieve measurable improvements in content retrieval speeds, customer retention rates, and sales efficiency.

Core Functional System Requirements for Content and Customer Management

  • Robust DAM with high-performance search capabilities using Elasticsearch and scalable database architecture (MongoDB, MySQL).
  • Integrated CRM module for subscription management, customer engagement tracking, and automated sales workflows.
  • User-friendly sales dashboard providing real-time customer data, automated alerts, and seamless subscription handling.
  • Automated content distribution system enabling rapid and efficient delivery of digital learning assets.
  • Role-based access controls and secure data management to ensure compliance and data integrity.
  • UI/UX designed for ease of use by sales, content teams, and administrators.

Technology Stack and Architectural Preferences for the Platform

Elasticsearch for high-performance asset search
MongoDB and MySQL for scalable data management
JavaScript frameworks (e.g., Ractive.js or equivalent) for frontend development
PHP/PHP7 with microservices architecture
RESTful API integrations for external system connectivity
Microservices architecture with Golang and Temporal for backend scalability and automation

Essential External System Integrations for Seamless Operations

  • Payment gateways (e.g., PayPal, USAePay) for subscription billing
  • CRM systems for customer data synchronization
  • Content delivery networks (CDNs) for global content distribution

Performance, Security, and Scalability Expectations

  • Platform should support management of millions of digital assets with rapid retrieval times
  • System must be scalable to support growth into enterprise-level content libraries
  • High system availability and uptime with automated failover capabilities
  • Data security compliance including secure access controls and encryption
  • Response times optimized for search and retrieval operations

Anticipated Business Benefits and Performance Improvements

Implementation of this platform is expected to result in significantly faster content delivery, improved customer retention through smarter subscription management, increased sales efficiency through automation and real-time data insights, and the ability to scale seamlessly as the organization grows. Quantitative targets include managing millions of assets, reducing content retrieval times substantially, and enabling the sales team to close deals faster, thereby driving revenue growth and operational excellence.

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