Written by Case Studies

Telcoms: Case Study

Madevo Transforms Telcom Company By Optimizing Network Efficiency

In business, we are always looking for ways to be more connected to our customers. And this is the most important aspect of the telecommunications industry. The telcoms industry is getting more competitive daily and new milestones are to be achieved.

Madevo is committed to empowering the telcoms industry.

For anonymity purposes, we will call this company X.

X, a leading telcom provider, faced the increasing complexity of managing a vast and dispersed network infrastructure. Despite significant investments in network optimization, the company struggled with network congestion, equipment failures, and suboptimal customer experiences. The challenges included inefficient resource allocation, difficulty determining network issues, and a lack of proactive measures to prevent service disruptions.

The Solution

To address these challenges, X partnered with Madevo. Our AI assistant, specializing in data from infrastructures, has transformed the processes of X. Madevo leveraged the existing network of sensors deployed by X to collect real-time data across their telcom infrastructure. These sensors included:

  • Base Station Sensors: Measuring RF power, temperature, vibration, and power consumption to assess equipment health, signal strength, and energy efficiency.
  • Fiber Optic Sensors: Employing Distributed Acoustic Sensing (DAS) to detect external threats, fiber breaks, and micro-bends, as well as Optical Time-Domain Reflectometers (OTDR) to measure fiber attenuation and identify fault locations.
  • Customer Premises Equipment (CPE) Sensors: Monitoring Wi-Fi signal strength, modem performance, and power line interference to optimize home network performance and troubleshoot customer issues.

Madevo’s AI engine processed the vast dataset generated by these sensors into one base without human intervention. Using its private algorithms, we uncovered hidden patterns, anomalies, and trends in the infrastructure. By analyzing this data, Madevo was able to:

  • Pinpoint Network Bottlenecks: Identify specific locations experiencing high traffic congestion, allowing X to strategically allocate additional capacity or optimize routing.
  • Predict Equipment Failures: Analyze sensor data to anticipate equipment failures, enabling proactive maintenance and preventing service disruptions.
  • Optimize Resource Allocation: Dynamically adjust resource allocation based on real-time demand, improving telcom network efficiency and reducing operational costs.
  • Enhance Network Coverage: Determine areas with weak signal strength and recommend solutions such as adding new base stations or optimizing antenna configurations.
  • Improve Customer Experience: Correlate network performance data with customer complaints to pinpoint issues and implement targeted solutions.

The Impact on Telcom Company

By leveraging Madevo’s AI-powered platform, X achieved significant improvements in network performance and operational efficiency. Key results included:

  • Reduced Network Outages: Proactive maintenance and faster troubleshooting led to a 30% reduction in network downtime.
  • Improved Customer Satisfaction: Enhanced network performance and faster resolution of customer issues resulted in a 15% increase in customer satisfaction scores.
  • Optimized Resource Utilization: More efficient use of network resources led to a 20% reduction in operational costs.
  • Increased Network Capacity: By identifying and addressing network bottlenecks, X was able to handle increased data traffic without compromising service quality.

What’s More?

What is easier for your workers than having a simple conversation? Madevo’s conversational AI assistant further simplifies network management by providing intuitive and user-friendly interaction. Engineers and technicians could easily access network data, analyze performance metrics, and troubleshoot issues through natural language queries.

The AI assistant offered real-time recommendations, automated routine tasks, and generated comprehensive reports, freeing up valuable time for network experts to focus on strategic initiatives and innovation.

Madevo’s AI platform is built on a foundation of data privacy and security. Our LLM algorithm is private and designed to protect sensitive customer data, ensuring that insights remain within the customer’s organization. Unlike generic AI models trained on vast datasets, Madevo’s model is tailored to specific client needs, preserving data confidentiality. This commitment to data sovereignty empowers businesses to harness the power of AI without compromising sensitive information.

Through this collaboration, X transformed its network operations, demonstrating the power of data-driven insights and AI in optimizing network performance and delivering exceptional customer experience

Would you like to improve your company’s infrastructure, processes, and connectivity? Let’s talk about it!

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