Transforming RAN steering into a strategic capability with AI-driven intelligence
In increasingly competitive markets, network quality and cost efficiency remain critical to business performance. Intelligent RAN Steering offers a data-driven approach to Public Land Mobile Network (PLMN) steering, moving beyond static, manual methods to an automated, intelligent solution.
By analyzing performance and customer experience metrics across the network, the solution identifies opportunities to improve Quality of Experience (QoE) while simultaneously reducing operational costs. This creates measurable business impact: higher customer satisfaction, more efficient use of resources, and a foundation for scalable growth.
- Proactive QoS optimization
- Minimized inefficiencies in multi-operator environments
- Automated processes replacing manual steering
- Strategic Agility with data-driven insights
- Scalable Value proven in pilots
Intelligent RAN steering for business resilience
Traditional steering is reactive and resource-intensive, leading to inconsistent service quality and rising operational costs. Intelligent RAN Steering applies AI and automation to transform this process into a proactive, business-aligned capability. The result is a more resilient network operation that directly supports strategic objectives; customer retention, cost control, and sustainable growth.
The Challenge
Traditional PLMN steering relies on manual processes and static rules. This leads to several challenges:
- Limited ability to adapt to changing QoS conditions
- Higher costs due to inefficient network selection
- Lack of predictive insights on subscriber experience
- Strong dependency on expert intervention
Our Solution
- Steering Engine: Correlates KPIs and data from multiple layers to build performance scores.
- Subscriber Identification: Detects users facing degraded QoS.
- Predictive Switching: Anticipates when a PLMN switch would improve experience.
- Automated Enforcement: Applies steering decisions through dynamic templates.
- Closed-Loop Monitoring: Continuously validates QoE impact and refines decisions.
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