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Adaptive Inventory

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Ericsson Adaptive Inventory provides CSPs with an E2E view of their networks and services spanning physical, virtual and logical domains. Complexity with multi-vendor, multi-technology networks require a solution with federation and automation capabilities.

Critical business processes around engineering planning, assurance and fulfillment can no longer be met with manual operations. Ericsson Adaptive Inventory automates these processes and provides a real-time inventory solution capturing the knowledge of the network engineering staff and making it available to the entire organization.

External systems, engineers, and provisioners have access to tools such as advanced planning with AI, capacity forecasting, and digital twins within a next-generation, flexible user interface to provide increased productivity.

Ericsson Adaptive Inventory is the foundation to providing better utilization and proactive automation to every aspect of the operational environment. By delivering new network and service rollouts, and lower mean time to repair, Ericsson Adaptive Inventory helps CSPs to make the best use of resources to provide superior customer experience.

The product is based on the experience gained from over 45 years in inventory management solutions. Ericsson Adaptive Inventory is fully configurable and aligned with TM Forum, ETSI, MEF, 3GPP and other industry standards, enabling quick introduction of new network technologies and services.

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Ericsson Adaptive Inventory product brief PDF Dec 16, 2024

Ericsson Adaptive Inventory is a service and resource inventory management solution uniquely adaptable to CSPs’ environments. Supporting next-generation capabilities including real-time inventory, advanced planning, and network lifecycle management, Ericsson Adaptive Inventory supports:

  • Inventory lifecycle management of physical, logical, and virtual network and service resources.
  • Supporting multi-vendor, multi-technology networks including autonomous and intent-based networks.
  • Real-time Inventory view of the service and resources managing reconciliation of the planned view of the network against the life network.
  • Order and schedule future resources to meet expected demands while providing business process management and automation of network and service orders.
  • Federate data from multiple sources to provide a complete view of the network. 
  • Service design automation using reusable service definition catalog for existing and future technologies and service definitions.

Ericsson Adaptive Inventory provides an end-to-end representation of every physical, logical, and virtual component of the network – giving CSPs a comprehensive view of resources and the relationships among them to support fulfillment, assurance, and network management processes. It supports planning and operations teams in many different areas: 

  • Network planning and engineering – network design and lifecycle management, capacity engineering, facilities planning and grooming, and service design.
  • Engineering operations – field support and work order management, installation, network management, and switch engineering.
  • Management – engineering reporting data, work order management, accounting/asset control, and business planning.
  • IT (Information Technology) – software automation, application configuration and integration, and process automation. 

OSS/BSS evolution for successful 5G monetization - Ericsson Adaptive Inventory is the inventory component of Ericsson’s OSS reference architecture.

Telstra and Ericsson partner to orchestrate wireless services for network slicing - Ericsson Adaptive Inventory is part of the orchestration solution for wireless service automation.

Ooredoo Qatar upgrades network inventory solution

The three waves of 5G network slicing - See how Ericsson Adaptive Inventory can help support the automation and rollout of 5G.

Cloud gaming: Enabled by 5G and end-to-end network slicing - 5G use cases and the importance of automation in the OSS stack including Ericsson Adaptive Inventory.