Ericsson Adaptive Inventory by Appledore Research

Appledore last profiled Ericsson Adaptive Inventory in 2023. Since then, the evolution to a fully cloud-native architecture (started in 2021) has been completed. New cloud-native capabilities are released on a regular basis. Ericsson Adaptive Inventory provides customers with infrastructure flexibility in supporting both public and private data centers and providing a choice of vendors for the underlying inventory database (Oracle and EBD) at a time when licensing costs for those 
components have been a significant operational concern. 

What has not changed is the core architectural approach. The federation layer, design-and-assign capability, and lifecycle state management introduced with Ericsson Adaptive Inventory in 2015 remain essentially consistent. Ericsson frames this continuity as deliberate: stability in the core model reduces integration risk for customers managing complex operational environments over 
long timeframes.  

Ericsson now positions Ericsson Adaptive Inventory as an inventory transformation product. Architecturally rebuilt from the ground up since 2015, fully cloud-native, compliant with open standards (TMF, 3GPP, ETSI), and central to Ericsson's wider autonomous networks proposition.  

Ericsson's headline features for Ericsson Adaptive Inventory are: 

• Vendor neutrality and technology agnostic - Ericsson Adaptive Inventory works across network domains regardless of equipment supplier.
• Multi-domain coverage - a single platform spanning physical, transport, IP, fixed, and mobile network layers.
• AI-assisted capabilities - including advanced planning, capacity planning, capacity forecasting and digital twin support. 
• A unified inventory providing a single, objective, real-time view of the network as the foundation for automation and AI.
• Federation capability - the ability to federate and consolidate legacy systems into Ericsson Adaptive Inventory without requiring a single forklift replacement.
• 80+ customer deployments in 35+ countries across mobile, fixed, converged, cable, and enterprise operators.

Ericsson Adaptive Inventory is Ericsson's cloud-native network inventory platform, and a component of Ericsson's wider OSS reference architecture. It is independent of Ericsson’s network technology and supports multi-vendor, multi-domain, multi-layer networks. Ericsson Adaptive Inventory manages the full network lifecycle from:

• Plan to Deploy
• Order to Service
• Trouble to Resolution   

Ericsson Adaptive Inventory is designed to sit at the center of an operator's operational processes regardless of the underlying network equipment or technology mix. Its core capabilities include unified hybrid network inventory, capacity management, impact analysis, discovery and reconciliation, hybrid service automation, and work order management.

Part of a wider autonomy platform

Ericsson Adaptive Inventory is central to Ericsson's autonomous networks proposition. Appledore observed at Ericsson OSS/BSS Summit 2025 that the widely agreed ingredients for autonomous networks are intent; orchestration (encompassing both fulfilment and assurance loops); real-time inventory; closed-loop automation; and abstraction. Ericsson Adaptive Inventory is positioned as the real-time inventory layer on which the others depend. 

Data accuracy

Discovery and reconciliation are integrated capabilities within Ericsson Adaptive Inventory, enabling continuous comparison of the network's designed state against its actual deployed state. Ericsson Adaptive Inventory's strict data model acts as a guardrail, preventing planners from entering incomplete or inconsistent data, which both surfaces pre-existing data quality issues during migration and prevents regression after the initial data cleanse. 

The data quality enforcement role is well evidenced in customer deployments, as seen in both MBNL’s and Telia’s case studies below. Operators report that Ericsson Adaptive Inventory's strictness, while demanding to implement against, is precisely the mechanism through which data quality is maintained over time. 

Full network lifecycle support

Ericsson Adaptive Inventory's lifecycle state management, spanning planned, in-service, and archived views, means it can reflect not just the current state of the network but its history and future intent. This aligns with Appledore’s view of the key characteristics of a network inventory over the network lifecycle.

Source: Appledore Research – Inventory management

The Digital Twin Value Pack

The Digital Twin Value Pack is the most significant new capability in Ericsson Adaptive Inventory. It introduces AI/ML-powered planning and simulation as a layer above the unified inventory, supporting use cases that previous rules-based capacity management could not support. 

As laid out in Appledore’s recent digital twin research, accurate, unified inventory is the data foundation on which credible simulation and autonomous decision-making must be built. It is what gives an inventory platform a natural claim to be the starting point for any serious digital twin program. The Digital Twin Value Pack extends Ericsson Adaptive Inventory's role from being a record of what exists in the operational network to supporting simulation of what could happen, using the 
same trusted data model as the operational system. This avoids the common failure mode of digital twins built on separate, manually maintained datasets that diverge from operational reality.

MBNL, Mobile Broadband Network Limited, operates a shared network infrastructure for two UK mobile network operators. MBNL’s role is to manage various access technologies including Radio access networks, leased-lines, microwave, and managed service providers.  

The day-to-day operations of this environment created network complexity and scheduling issues when trying to manage the lifecycle of the transport and the cell sites. MBNL’s existing inventory solution was based on an off-the-shelf product, which was heavily customized but was failing to deliver for MBNL, and more importantly, for the mobile network. MBNL’s operation problems included: 

• An inability to manage the scale, volume, and complexity of MBNL’s network
• Data accuracy issues across the transport and site data
• Lack of a Configuration Management Database (CMDB) and network baseline – there was no way to check what was in the network against what was designed to be in the network.
• Work order data and scheduling conflicts – multiple concurrent work orders running with different field contractors with an inability to reconcile conflicts
• Managing data segregation – competition with regulations and prevention of exposing sensitive information between competitors.  
• Ensuring that the mobile network operators MBNL serves can access what they need to access and only what they should access for their operations 

The result is an improved operational reality for MBNL, with Ericsson Adaptive Inventory acting as a control plane for transport network change. Work orders no longer block other customers’ work orders with parallel delivery the norm. Inventory accuracy has improved to the point where data can drive automated decisions. Data segregation is in place to allow MBNL customers to have a complete view of their network without visibility into their competitors’ network. Inventory is no longer a limiting constraint and has become a native capability of the MBNL operating model and business.

Telia is a major Nordic telco operating across multiple countries through a group of regional Operating Companies (OpCos). Its fixed network inventory landscape before transformation with Ericsson was like most tier-1 operators: siloed systems, country-specific tools, and, in some cases, manual and paper records. 

The existing inventory solution had accrued significant technical debt across four interconnected problem areas:

Ericsson Adaptive Inventory became the target platform for Telia Sweden's "One View" program, with its TM Forum-aligned OSS architecture. The goal of the program was a single, high-accuracy inventory that could serve impact analysis, ticketing, assurance, and zero-touch automation across Telia’s fixed network. 

Ericsson Adaptive Inventory’s strict data model and native governance capabilities made it the right fit for Telia's requirements, with data accuracy and integrity achieved by product design, rather than through customization by the inventory supplier – something previous inventory solutions suffered from. 

The project was delivered jointly by Telia and Ericsson. While the deployment in Sweden required significant upfront investment, it established a repeatable rollout model that has paid dividends since. Subsequent deployments across operating companies have been faster and smoother, with configurations reused to a high degree. 

The outcome is a highly stable, governed inventory foundation with improved data integrity, reduced regression from automated change flows, and a platform capable of scaling zero-touch automation ambitions across the group. Where prior approaches created recurring dependency on specialist development for every new hardware or configuration change, Ericsson Adaptive Inventory gives Telia direct control, with fast turnaround for technology and service updates.  

Importantly, this fixed-network foundation also provides a path to broader multi-domain inventory convergence. Telia is already using it as the basis for extending coverage into wireless domains, including RAN resources, with discovery work underway alongside Ericsson. This gives Telia greater visibility across network resources and reduces the risk of creating new silos as additional technologies are brought into scope. Over time, that more unified inventory model should strengthen assurance, planning, and automation across countries, domains, and network layers.

Ericsson Adaptive Inventory has strengthened its position since Appledore’s 2023 report. The completion of the cloud-native transition, the addition of the Digital Twin Value Pack, and the evolution as an established inventory transformation platform all represent real progress. The product's role in Ericsson's autonomous networks proposition is well-defined and coherent. 

The digital twin narrative gives Ericsson Adaptive Inventory a more compelling strategic identity. It repositions inventory from a passive system of record to the active, continuously reconciled model of the network that autonomous network operations will require. That framing is correct and aligns with Appledore's own research.

Qualifications to this positive picture remain structural rather than technical. The gap between the product's current state and the state of the deployed base is real: the operational benefits of the cloud-native architecture are not uniformly available across the customer base. The Digital Twin Value Pack is a capability in early deployment, not a mature product, and its value is directly contingent on data quality levels that many operators have not yet achieved. Closed-loop agentic automation remains a future state.

None of these qualifications undermines the direction of travel. Ericsson's roadmap is a realistic reflection of where the market is. The inventory-first architecture is the right one. Whether the market recognizes Ericsson Adaptive Inventory in those terms will depend as much on deployment maturity at individual operators as on product capability — but the product is, in 2026, a credible vehicle for the autonomous network ambition it is positioned to support.