Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

Here you can add a description about your company or product

© Copyright 2025 Makerkit. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Development of a Custom OTT Streaming Platform with AI-Driven Personalization and Content Delivery Optimization
  1. case
  2. Development of a Custom OTT Streaming Platform with AI-Driven Personalization and Content Delivery Optimization

Development of a Custom OTT Streaming Platform with AI-Driven Personalization and Content Delivery Optimization

theninehertz.com
Media

Challenges in Expanding Audience Engagement through OTT Streaming Solutions

The client, a leading media organization with diversified television content, faces difficulties in seamlessly integrating multiple OTT platforms, optimizing content delivery for a diverse user base, developing accurate personalization features, and ensuring content security and licensing compliance. Additionally, they need to enhance viewer engagement, reduce churn, and increase digital reach amidst rising competition and technical complexity.

About the Client

A large-scale media organization operating multiple television channels and digital content platforms seeking to expand into over-the-top (OTT) streaming to reach a broader digital audience.

Goals for Developing a Robust OTT Streaming Platform with AI Capabilities

  • Increase digital audience reach by approximately 30%.
  • Boost viewer engagement metrics by 25%.
  • Enhance user experience through personalized content recommendations and intelligent search features.
  • Ensure high-quality, buffer-free streaming performance via optimized content delivery networks.
  • Implement secure content protection with Digital Rights Management (DRM).
  • Support scalable subscription and monetization models including SVOD, AVOD, and TVOD.
  • Integrate social sharing features to foster user community engagement.
  • Leverage AI-driven analytics for predictive content planning and targeted advertising.

Core Features and Capabilities for the OTT Streaming Platform

  • Cross-platform support for web, mobile (iOS and Android), and smart TVs with responsive design.
  • Seamless integration with existing backend systems for content management and user data.
  • Screen mirroring capabilities for living room viewing devices.
  • Personalized content recommendation engine utilizing machine learning algorithms.
  • AI-powered voice search using natural language processing (NLP).
  • Content tagging and automatic metadata generation to improve searchability.
  • Robust Digital Rights Management (DRM) to prevent unauthorized content distribution.
  • Advanced Content Delivery Network (CDN) integration for optimized streaming performance.
  • In-app purchase and subscription management system with automatic renewal notifications.
  • Targeted advertising and ad placement management to increase monetization.
  • Analytics dashboard providing real-time insights into content performance and user behavior.
  • Social media integration for sharing content and user interaction.

Preferred Technical Stack and Architectural Considerations

Swift (iOS)
Kotlin (Android)
Python for backend and AI/model logic
AWS cloud infrastructure
TensorFlow and PyTorch for AI/ML functionalities
OAuth 2.0 for secure authentication
DRM technologies for content protection
Content Delivery Network (CDN) integration

External Systems and Services for Seamless OTT Operations

  • Content management systems (CMS)
  • Payment gateways for subscription processing
  • Backend systems for user data and content metadata
  • Advertising platforms for targeted ad delivery
  • Analytics and reporting tools
  • Social media platforms for sharing features

Non-Functional Criteria for OTT Platform Performance and Security

  • High scalability to support increasing user base with minimal latency
  • Buffer-free, high-quality video streaming with adaptive bitrate technology
  • Security measures including DRM, data encryption, and secure login protocols
  • System availability aiming for 99.9% uptime
  • Low latency for voice search and real-time recommendations
  • Compliance with regional licensing and content rights regulations

Projected Business Impact and Success Metrics for the OTT Platform

The implementation of this AI-enabled, secure, and scalable OTT streaming platform is expected to expand the client's digital reach by approximately 30%, increase viewer engagement by 25%, reduce churn rates, and generate higher revenue through targeted advertising and diversified monetization models. Real-time analytics will empower strategic content decisions, further enhancing audience retention and satisfaction.

More from this Company

Digital Transformation of Manufacturing Operations using Cloud and Low-Code Platforms
Development of a Comprehensive Workforce Scheduling and Management System for Healthcare Facilities
Development of a High-Performance Multi-Platform Live Streaming Application with Enhanced UX and Monetization Capabilities
Development of a User-Centric Social Media Platform Focused on Content Quality and Community Integrity
Implementing App Store Optimization to Enhance Music Streaming App Visibility and Downloads