Development of a Scalable Cloud-Based Content Automation and Analytics Platform

The client has an existing niche-oriented on-premise content management solution that no longer meets the needs of a broader, multi-sector audience. They face challenges in scaling their operations, rethinking their business model for wider applicability, and integrating advanced technologies such as AI and machine learning to enhance search and content analytics. The goal is to develop a modern, cloud-based platform that enables flexible content aggregation, processing, and secure, intuitive delivery to diverse user groups across multiple sectors.

A mid to large-sized content management company seeking to expand its offerings through a cloud-based platform that automates content curation, processing, and delivery, leveraging advanced search, analytics, and AI capabilities.

• Transform an existing on-premise product into a comprehensive, cloud-based solution supporting multiple industries.
• Develop a scalable, flexible microservices architecture to facilitate growth into new business sectors.
• Implement an intuitive UI/UX for different user roles: administrators, content managers, and end-users.
• Leverage latest cloud technologies (e.g., AWS or equivalent) for reliable data storage and processing.
• Integrate AI and machine learning for natural language processing, advanced search, and content analytics.
• Deliver an analytics dashboard to monitor content engagement metrics such as open rates and clickthroughs.
• Ensure the platform can support a large user base, targeting over 17,000 users initially and scalable thereafter.

• User role-based portals: admin site for system administrators, content management dashboard for curators, and personalized user portals.
• Content aggregation modules to source information from multiple external sources.
• Intuitive search interface with advanced filtering and categorization capabilities.
• Customizable newsletter templates with options for personalization and content curation.
• Automated newsletter delivery pipelines with scheduling and customization options.
• Analytics dashboards to track newsletter engagement metrics, including open rates and click-through analytics.
• Natural Language Processing (NLP) integration to extract metadata, concepts, entities, keywords, and analyze content relevance.
• Support for multi-search topic creation, content tagging, and targeted content delivery.

• AI/ML APIs for natural language processing, metadata extraction, and content analysis
• Analytics and reporting tools for newsletter engagement metrics
• External data sources for content aggregation

• Scalability to support over 17,000 concurrent users initially, with future growth capacity
• High performance and low latency search and content delivery
• Robust security measures to protect content and user data
• Highly available architecture with failover capabilities
• Responsive and user-friendly interfaces across devices
• Continuous deployment and integration with agile methodologies

The new cloud-based platform is expected to significantly enhance the client's ability to manage and deliver relevant content efficiently across multiple sectors, supporting increased user adoption and engagement. It aims to improve scalability, operational flexibility, and content analytics capabilities, ultimately enabling expansion into new markets with a reliable, modern infrastructure. Targeted KPIs include supporting over 17,000 users from launch, improving content management efficiency, and providing advanced analytics features that inform strategic decisions.