NextGen order and Service Fulfillment

Transforming Order Fulfillment with a cloud-based, intent-driven platform on TM Forum standards

With the introduction of Generative AI, the world has rapidly changed and unlocked possibilities and ideas that were previously not thought realistic in people's daily lives. AI is now becoming a reality in virtually all business fields, and telecommunications, particularly, is standing in front of great opportunities. Traditional service fulfillment and assurance processes are challenged by new ways of managing networks, such as introducing autonomous networks, intent-based provisioning, and closed-loop control to take the concept of automation to the next level.

Netadmin Systems is committed to stepping into this new era as we start the development of our NextGen Order Orchestration and Service Fulfillment platform. Starting with intent-based provisioning, we aim to revolutionize service provisioning and make it simpler than ever to manage networks at a large scale. Changes always drive costs, and legacy systems and ill-suited custom solutions make the costs even higher. By leveraging the benefits of standardization, cloud technologies, and intent-based flows across all layers, we can ensure the flexibility, scalability, and robustness needed to rapidly respond to new market demands, fostering innovation to explore new businesses and opportunities. These attributes are all crucial to staying competitive.

illus-nextGen

Key areas:

NextGen Order Orchestration & Service Activation: Implement intent-based provisioning across all layers to seamlessly translate and execute consumer, service, and network intents throughout the process. By adopting a low/no-code approach in configuration, built-in transaction support, and clear separation between layers, we seek to minimize time to market for launching new services, deploying new network technologies, and troubleshooting.
NETCONF/YANG: Implement the future network provisioning protocol, making the most out of transaction-based network configuration across multiple devices, technologies and network layers. This standard does not only ensure consistency and reliability in provisioning but also enables monitoring of the network state on a large scale and simplifies configuration management, unlocking previously difficult tasks within assurance and migration scenarios.
Closed-Loop Automation: Exploration of self-adaptive service fulfillment and assurance processes within B2B, B2C, and B2B2X use cases to ensure the network and services remain at their intended state. ML and AI are key enablers of closed-loop automation, potentially enabling real-time adjustments based on network traffic and other readings to automatically manage disturbances and congestions in order to optimize the end-user experience. The applications of closed-loop automation and Generative AI for fiber operators and CSPs remain, to a large extent, unexplored as we start looking into this area together with customers and partners.