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Case Study

What if AI could strategically deploy a multi-billion dollar telecommunications network?

CLIENT

Global Telecom Leader

Industry

Telecommunications

LOCATION

North America

Telecom Evolution through AI-Driven Innovation

Integrating AI within the telecommunications sector has opened up numerous opportunities to uncover new revenue streams, enhance customer experiences, boost operational efficiency and optimize network performance.

For one global telecommunications provider, AI proved transformative in facilitating the scalable and cost-efficient expansion of their network coverage. Adopting a comprehensive implementation strategy and carefully integrating AI-driven models with their vast experience allowed the swift expansion of their network and uncovered billions in revenue opportunities.

Challenges to Overcome

As data traffic volumes surged and user expectations for seamless experiences intensified, the telecommunications provider encountered significant challenges in their network expansion planning.

  • Legacy systems struggled to keep pace with modern demands 
  • Traditional planning methods needed more agility and precision for effective resource management and future network forecasting
  • Integrating new technologies added complexity
  • Pressure to optimize operational costs caused inefficiencies, increasing the risk of service disruptions that could negatively affect customer satisfaction.

The telecommunications company recognized the need to rethink its strategies to address these challenges.

Solving Problems with AI and Data

Recognizing the need to modernize operations while preserving the strengths of its legacy systems, the telecommunications company turned to Sand Technologies to help craft a strategy that harmonized tradition and innovation. They included implementing the AI Network Planner, an advanced tool utilized machine learning, network graph analytics, geospatial analytics, cash flow modeling, customer demographics and competitor coverage to optimize rollout strategies.

By combining AI-driven models with their extensive industry experience, they can simulate real-time opportunities and challenges within their network. This approach enabled them to gain actionable insights that informed their strategic investment priorities while ensuring that decades of industry knowledge enriched every decision.

Results

Implementing the AI Network Planner delivered impressive results for the telecommunications provider.

  • They optimized their large-scale fiber rollouts 
  • The insights lead to capturing an astounding $4 billion in revenue 
  • The planner identified 4 million new homes for a national fiber initiative 
  • Additional data insights improved planning accuracy and helped refine their rollout strategies
 

Looking Ahead

The ability to model network costs and designs based on different customer acquisition scenarios positions the provider for long-term monetization and sustained success in a dynamic industry.

  • This AI-driven approach can enhance ROI by up to 10% 
  • The model can reduce construction costs by as much as 50% 
  • Supports immediate goals and future growth.

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