Oracle Communications Cloud Scale Monetization

Oracle Communications Cloud Scale Monetization is a comprehensive monetization solution for communications and digital service providers, designed to help them launch, monetize, and evolve services and commercial models at scale.

It brings together billing and revenue management, usage data mediation, converged charging, settlement, collections, and service control across consumer, enterprise, wholesale, partner, subscription, usage-based, prepaid, postpaid, and hybrid business models.

Oracle Cloud Scale Monetization includes products for billing and revenue management, usage data mediation, converged charging, and legacy service control.

Oracle Communications Billing and Revenue Management provides billing, invoicing, payments, receivables, collections, settlement, subscription charging, enterprise hierarchies, discounting, and related revenue management capabilities.

See the Billing and Revenue Management documentation

Oracle Communications Offline Mediation Controller provides usage data mediation, including collection, normalization, enrichment, aggregation, correction, and distribution.

Oracle Communications Elastic Charging Engine provides online and offline converged charging, real-time balance and quota management, session control, and 4G and 5G charging.

Oracle Communications Convergent Charging Controller provides service control for legacy and hybrid intelligent network and SS7 environments.

Telecom charging determines how usage, events, balances, quotas, and entitlements are authorized, rated, and controlled. Billing turns chargeable activity into invoices, payments, receivables, collections, settlements, and finance-visible outcomes.

Charging operates close to network usage and the real-time customer experience. Billing operates closer to invoicing, customer care, collections, disputes, receivables, and financial control.

Together, charging and billing allow CSPs to turn service usage into revenue.

Converged charging brings multiple services, network generations, and charging models into a common charging environment.

It can reduce the need for separate charging approaches for different networks, services, or payment models and provide common rating, balance management, quota control, and charging capabilities across environments.

Oracle Communications Elastic Charging Engine supports online and offline converged charging across prepaid, postpaid, and hybrid services.

See the Elastic Charging Engine documentation for converged charging capabilities

Traditional charging can rely on separate charging systems or approaches for different networks, services, or charging models. Converged charging brings charging requirements together in a common charging environment.

For example, a CSP may otherwise operate different charging environments for network generations, prepaid and postpaid services, or online and offline charging. Converged charging can reduce that fragmentation and provide a more consistent platform for rating, balances, quotas, and service control.

Oracle Cloud Scale Monetization provides monetization capabilities for services across multiple network generations and digital business models.

Oracle Communications Elastic Charging Engine supports charging across 4G, 5G non-standalone, and 5G standalone environments, while the broader portfolio supports billing, mediation, settlement, and revenue management for communications, digital, enterprise, and partner services.

This can help CSPs evolve networks and services without requiring a separate monetization environment for every new generation or business model.

See the Elastic Charging Engine documentation for 4G and 5G charging capabilities

Oracle Cloud Scale Monetization supports a broad range of communications and digital service business models.

• Customer and relationship models: consumer, enterprise, B2B, B2B2X, wholesale, partner, and reseller
• Charging and payment models: prepaid, postpaid, hybrid, subscription, and usage-based
• Commercial models: recurring, one-time, event-based, and other usage-driven models

The portfolio can support mobile and fixed communications, IoT, enterprise connectivity, partner-led services, and digital services where advanced charging, billing, settlement, hierarchy, or usage data capabilities are required.

Yes. Oracle Cloud Scale Monetization can work alongside existing charging and billing systems, allowing CSPs to modernize according to their business priorities.

A provider can introduce Oracle Communications Elastic Charging Engine while an established billing platform remains in service, introduce Oracle Communications Billing and Revenue Management while an existing charging platform continues to operate, or use Oracle monetization capabilities for B2B and other growth services while existing consumer systems remain in place.

This gives CSPs flexibility to modernize incrementally rather than requiring every system to change at the same time.

Yes. Oracle Cloud Scale Monetization can support both phased modernization and a coordinated end-to-end transformation.

Teams can begin with the business outcome that matters most: improve billing efficiency; modernize 4G and 5G charging; grow partner, wholesale, B2B, and B2B2X monetization; or consolidate and modernize the entire monetization estate. Each outcome can draw on one or more capabilities, deployed independently or together, and deployments can then expand across the monetization estate as requirements change.

The right approach depends on the provider’s business priorities, existing estate, migration strategy, and target operating model.

Oracle Cloud Scale Monetization supports telecom business support system (BSS) modernization by providing modern charging, billing, revenue management, mediation, and related monetization capabilities that can evolve alongside an existing BSS environment.

CSPs can modernize individual revenue domains, introduce new monetization capabilities alongside existing systems, or pursue a broader transformation. This provides a path to simplifying legacy BSS complexity while supporting new network, service, and business model requirements.

Oracle Cloud Scale Monetization helps CSPs address complexity and fragmentation across the revenue lifecycle.

Common challenges include fragmented charging and billing systems, complex billing operations, difficulty introducing new pricing and business models, complex B2B and partner relationships, usage data quality, legacy technology, and disconnected revenue and finance processes.

By bringing productized, configurable, cloud native capabilities together, CSPs can help simplify operations while creating greater flexibility for new services and commercial models.

A modern monetization solution should deliver converged, real-time charging, flexible billing and revenue management, usage data mediation, support for complex B2B and partner relationships, and the scalability, resilience, integration, and flexible modernization paths required for evolving services and commercial models.

It should be productized, configurable, cloud native, and able to introduce new services without creating additional charging and billing silos while providing a path to simplifying the monetization estate over time.

Oracle Cloud Scale Monetization addresses these requirements through billing and revenue management, usage data mediation, converged charging, service control, enterprise and partner monetization, support for large-scale operations, and the flexibility to coexist with existing systems or support a broader transformation.

CSPs modernize billing to improve revenue operations, increase flexibility, simplify complex billing environments, and create a stronger platform for new customer and business models.

Modern billing can improve invoicing, receivables, collections, settlement, dispute management, enterprise billing, and the flow of revenue information into finance.

A billing-first transformation can also allow a provider to improve these areas while its existing charging platform remains in service.

See the Billing and Revenue Management documentation for billing and revenue management capabilities

CSPs modernize charging to support evolving networks and services, real-time monetization, new pricing models, greater scale and resilience, and a more consistent customer experience.

Converged charging can reduce fragmentation across network generations, prepaid and postpaid services, and online and offline charging. It also provides a solution for monetizing 4G, 5G, digital, enterprise, and usage-based services.

A charging-first approach allows a CSP to address these priorities while an established billing environment remains in service.

See the Elastic Charging Engine documentation for converged charging capabilities

Oracle Cloud Scale Monetization can provide a charging and billing solution for complex B2B, wholesale, partner, and B2B2X business models.

B2B2X describes models in which a provider delivers and monetizes services through business partners or other intermediaries to reach another business or an end customer.

These models can require capabilities such as enterprise account hierarchies, shared charges and discounts, flexible payment relationships, partner settlement, revenue sharing, and complex billing arrangements.

A CSP can introduce Oracle monetization capabilities for these growth areas while established consumer operations continue on existing systems, providing a path to expansion without immediately replacing the consumer monetization environment.

See the Billing and Revenue Management documentation for enterprise and wholesale monetization capabilities

Consolidating fragmented monetization capabilities can reduce operational complexity and create a more consistent platform for launching, charging, billing, and managing services.

It can reduce duplicated pricing and business logic, simplify integration and operations, improve the flow of usage and revenue information, and provide a clearer path for modernizing legacy systems.

Consolidation does not have to happen all at once. CSPs can progressively move capabilities onto a common platform or pursue a coordinated transformation.

Oracle Cloud Scale Monetization connects offer design with charging, billing, and revenue management execution, helping CSPs launch, monetize, and evolve services and commercial models.

This allows CSPs to support combinations of subscription, recurring, one-time, event-based, and usage-based pricing across consumer, enterprise, wholesale, partner, and digital services.

A more flexible monetization solution can reduce the charging and billing changes required to turn new service concepts into commercial offers.

Oracle Cloud Scale Monetization supports the account, billing, payment, and settlement relationships required for complex enterprise and partner business models.

Oracle Communications Billing and Revenue Management supports capabilities such as parent-child account hierarchies, service grouping, shared charges and discounts, flexible payment relationships, partner settlement, revenue sharing, wholesale billing, and pro forma invoicing.

These capabilities help CSPs monetize relationships that are more complex than a traditional one-provider-to-one-consumer model.

See the Billing and Revenue Management documentation for enterprise and partner monetization capabilities

Oracle Cloud Scale Monetization is designed to support high-volume charging and billing, with Oracle performance testing demonstrating scale under specific test configurations.

In Oracle’s published charging test configuration, Oracle Communications Elastic Charging Engine was tested with 100 million subscribers across two active sites.

Read the Elastic Charging Engine charging performance test report (PDF)

For billing, Oracle testing on Oracle Cloud Infrastructure achieved 2.29 million billing accounts per hour and generated invoices for 680,000 accounts in eight minutes.

Read the Billing performance test report (PDF)

These results reflect specific test configurations and workloads rather than guaranteed performance for every deployment. Actual performance depends on the workload, configuration, architecture, infrastructure, integrations, and data volumes.

Phased charging and billing modernization allows CSPs to address the business outcome that matters most while managing the impact of change across the existing monetization estate.

A provider can begin by improving billing efficiency, modernizing 4G and 5G charging, growing partner, wholesale, B2B, and B2B2X monetization, or consolidating and modernizing the entire monetization estate. Each outcome can draw on one or more capabilities, and the provider can then pursue a broader deployment as priorities change.

This flexibility allows modernization to align with investment priorities, existing systems, migration readiness, and the desired target architecture.

The Oracle Cloud Scale Monetization AI/ML operationalization framework provides a framework for building and operationalizing machine learning workflows across charging, billing, usage, and related business data.

The currently documented reference implementation is a next-best-offer recommendation service. The framework also provides data, training, and prediction services that can be extended for additional use cases. Oracle AI Database 26ai provides native AI capabilities that can be used close to monetization data.

See the AI/ML framework documentation and next-best-offer reference implementation

The Oracle Cloud Scale Monetization AI/ML operationalization framework is a modular framework for building AI and machine learning workflows using charging, billing, usage, and related business data.

It includes a data service for preparing data, a training service for training and validating models, and a prediction service for making models available through APIs and workflows.

The framework is designed to be extended for customer and developer requirements.

See the AI/ML framework documentation

The framework follows a three-stage model: Prepare data, train models, and operationalize predictions.

The data service ingests, transforms, and engineers billing, usage, and external data. The training service uses engineered data to train, validate, and version models.

The prediction service exposes trained models through APIs or workflows so predictions can support recommendations, alerts, insights, or other business actions.

Client applications can use prediction services for real-time or batch inference. Batch processing is handled by the client, and prediction services can be invoked by client applications or AI agents.

See the AI/ML framework documentation for workflow and integration details

The next-best-offer reference implementation uses customer and monetization context to generate personalized offer recommendations.

It can use customer profile attributes, engagement history, product information, past purchase behavior, and usage patterns to generate personalized recommendations through a prediction service.

The reference implementation is designed to be extended for specific customer requirements.

See the AI/ML framework documentation for the next-best-offer reference implementation

The framework can use charging and billing information together with relevant data from other business systems.

This can include billing, usage, subscriber, and other integrated business data relevant to the model. The data service can ingest and transform this information into data sets and features for machine learning workflows. Oracle AI Database 26ai provides native AI capabilities that can be used close to monetization data.

Customers can use the framework to develop additional AI/ML use cases beyond the current reference implementation.

Potential scenarios may include churn prediction, revenue assurance, fraud detection, credit risk analysis, revenue forecasting, bill-shock prediction, usage anomaly detection, collections analysis, predictive maintenance, and personalized incentives.

These are potential implementations rather than claims that each capability is an out-of-the-box Oracle Cloud Scale Monetization feature. Any resulting implementation depends on the available data, models, integrations, validation, controls, and specific business requirements.

AI can help CSPs analyze customer needs, risks, and opportunities and use those insights to support more relevant interactions.

Potential applications can include churn prediction, next-best-offer recommendations, personalized incentives, customer segmentation, rate-plan suggestions, and identifying potential upgrade or cross-sell opportunities.

The currently documented reference implementation supports next-best-offer recommendations. Other applications can be developed using the framework where the required data, models, integrations, validation, and controls are available.

AI can potentially help revenue teams identify issues, risks, and opportunities and provide information that supports decisions.

Potential implementations may include bill-shock prediction, invoice error detection, payment failure prediction, revenue assurance, fraud detection, usage anomaly detection, credit risk analysis, and collections analysis.

These are potential implementations using the framework, not a claim that each capability is currently packaged as an out-of-the-box product feature.

Organizations determine the policies, permissions, approvals, validation, accountability, and human oversight appropriate for their AI use cases.

Revenue-related workflows can affect customer balances, invoices, payments, collections, business relationships, and financial outcomes. Depending on the implementation, AI-assisted workflows can operate within defined permissions and approval processes to help investigate issues, identify patterns, assemble information, and recommend actions while people and authoritative systems retain appropriate control.

Autonomous revenue management describes Oracle’s strategic direction for an operating model that connects monetization execution, enterprise context, and domain-specific intelligence around measurable business missions.

As data and workflows evolve, AI-assisted approaches can potentially help teams investigate issues, understand outcomes, coordinate decisions, recommend actions, and evaluate results.

Oracle Cloud Scale Monetization provides monetization capabilities and charging, billing, usage, and revenue information that can participate in this broader operating model.

Autonomous revenue management is a strategic direction rather than a separately packaged Oracle Cloud Scale Monetization product.