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API monetization and dynamic pricing model and unified API discovery and reusability engine

URN C25.0.829
Topics Customer Relationship Management (CRM), Open APIs, Open Digital Architecture (ODA)

Monetize your API ecosystem through usage-based pricing and tailored packages for enterprise clients generating new revenue streams

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Accelerating Adoption of Dynamic Pricing on QoD Network APIs Introduction This TMForum catalyst project outlines a forward-thinking initiative designed to revolutionize network service delivery by leveraging dynamic, real-time Telecom network APIs. The aim is to transition from static API pricing for QoD to an adaptive system that optimizes quality during periods of peak demand. A central element of this initiative is an API portal powered by an AI-based search engine, which will drive the adoption of QoD API monetization features by guiding developers and product owners through a seamless integration process. An Example Use Case: Uber’s Enhanced Ride Experience at a Packed Stadium Imagine the end of a major event at the Dallas AT&T stadium. As 80,000 fans exit, the surge in mobile data usage typically results in network congestion, causing delays in ride-booking requests. In this proposed scenario, a dynamic Telecom Quality on Demand (QoD) API solution is designed to detect high network demand in real time and automatically allocate additional resources to critical applications like ride-sharing.For example, when a ride-sharing app experiences a spike in usage, the system ensures that enhanced network quality is directed to facilitate rapid and reliable ride requests. This dynamic adjustment not only provides a smooth, hassle-free experience for riders but also creates a monetization opportunity by allowing network operators to efficiently manage resources and capitalize on high-demand periods. Key Components of the Project * Dynamic Network Quality Management: Utilizing real-time analytics, the system dynamically adjusts network performance during congestion. When usage peaks—such as during the post-event rush—the solution prioritizes essential applications like ride-sharing by boosting their network quality. This ensures uninterrupted service even in high-pressure environments. * Unified API Experience: A standardized API framework is at the core of the initiative, enabling consistent integration across various network operators and service providers. This unified approach simplifies adoption for developers and downstream partners, fostering innovation and facilitating the rollout of dynamic pricing models across the ecosystem. * AI-Driven API Portal for Monetization Adoption: To accelerate the adoption of QoD API monetization features, an intelligent API portal equipped with a GenAI chatbot is proposed. This AI-based search engine serves as a knowledgeable guide for developers and product owners, offering step-by-step support, best practices, and troubleshooting insights. The portal demystifies the complexities of dynamic pricing, ensuring that all stakeholders can quickly and effectively implement these advanced monetization APIs. Benefits Across the Ecosystem * For Consumers: Riders enjoy a reliable and fast ride-booking experience even in the midst of extreme network congestion, ensuring timely service and enhanced satisfaction. * For Communication Service Providers (CSPs): Operators can dynamically manage network resources to alleviate congestion, optimize revenue through intelligent pricing, and maintain robust service quality during peak demand. Moreover, understanding the true cost will allow CSPs further optimizing the network service infrastructure and become more efficient and competitive. * For Partners and Developers: The unified API framework and AI-powered portal simplify integration, enabling rapid adoption of monetization features and fostering the development of innovative applications that leverage dynamic network quality enhancements. Conclusion This proposal envisions a transformative approach to network service delivery that adapts dynamically to real-time demand. By prioritizing critical services like ride-sharing during crowded events, the project not only enhances the consumer experience but also unlocks significant revenue opportunities for network operators. The integration of an AI-driven API portal serves as a catalyst for widespread adoption, empowering developers and product owners to fully leverage the benefits of dynamic pricing on QoD network APIs. Together, these elements set the stage for a new era in telecom service innovation.

Team members

Acronym Solutions Inc. logo
Champion
AT&T Inc. logo
Champion
Bell Canada logo
Champion
GCI Communication Corp logo
Champion
Optiva Inc. logo
PlektonLabs logo
Qeema Consultancy and Technology Service logo
TELUS logo
Champion

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