eDs

Intelligent Predictive Site Maintenance Schedule for America’s Leading Telecom Infrastructure Provider 

Summary

The client has been one of America’s leading telecommunications infrastructure providers for over three decades—owning, managing, and leasing shared wireless infrastructure. Prospering its name among the Fortune 500 companies, the client offers diverse services, including tower leasing, small-cell solutions, wireless coverage, smart city solutions, custom fiber optic networks, and advanced technologies to over 10,000 customers. The client has over 40,000 cell towers and approximately 85,000 route miles of fiber, generating an annual revenue of more than $5BN.

Industry

Telecom

Company Size

5000+ Employees

Region

North America

Revenue

$5BN+

Key Challenges

Inefficient scheduling and resource utilization, inability to scale operations, invisibility in field locations, and increase in maintenance time.

  • Inefficient scheduling and resource allocation for mandatory service and maintenance visits to over 40,000 cell towers across the U.S.
  • Existing processes were based on past experiences, leading to inefficiencies and slow year-over-year improvements.
  • Lack of visibility into optimal locations for field personnel and potential opportunities for outsourcing in rural areas.
  • Difficulties in evaluating and implementing optimizations due to limited analytical capabilities.

Techwave Consulting implemented a cloud-based analytics platform leveraging advanced data science techniques, cloud architecture, and predictive analytics using AI and machine learning:

  • Statistical modeling and clustering techniques to develop multiple what-if scenarios for site visits
  • Cloud-based architecture provides scalability and flexibility to work with large, complex data sets
  • Visualization tools for easy consumption of data insights and actionable decision-making
  • Iterative design approach delivering actionable data sooner for rapid time-to-value realization

The solution involved mapping cell tower locations, applying rules-based modeling to develop logical clusters, and determining optimal routes and schedules for site visits by analyzing multiple scenarios using artificial intelligence and machine learning.

The cloud-based analytics platform enabled the client to achieve the following outcomes:

Identified up to 60% optimization potential for field personnel performing site visits to North American locations


Enabled ad-hoc and on-demand analysis for data-driven decision-making


Provided data visualization for easy consumption of insights and actionable decision-making


Maximized efficiency through predictive analytics, data science, and what-if scenario modeling


About Techwave

Headquartered in Houston, TX, Techwave provides Global Technology and Engineering Services and Solutions to more than 600+ clients across 5 continents. Our expertise in SAP S4/HANA, Data & Analytics, Software Engineering, AI/ML, Cloud Engineering Services, and Strategic Sourcing provides the end-to-end digital capabilities that empower our clients to maximize the value realization from their digital investments. Our CMMI Level 5 and ISO 9001:2015 certifications demonstrate our ability to deliver excellence to all our clients.
To learn more about Techwave, please visit www.techwave.net

   
Salesforce Web-to-Lead Popup
X