In house product for Telenor Pakistan – Thunder
2022 - Active
The client, a telecom operator, faced challenges in managing their extensive telecom tower infrastructure, including operational cost, maintenance, and performance issues. The distributed nature of their tower sites and lack of real-time visibility hindered efficient management, leading to prolonged downtime, service disruptions, and reactive practices.
The client encountered significant challenges across various aspects that had a detrimental impact on their overall performance. These challenges are mentioned below.
Scale and Distribution
Managing a vast number of tower sites scattered across diverse geographical locations posed challenges in monitoring site health, performance, and security. Lack of immediate visibility into potential issues resulted in prolonged downtime and costly repairs.
Lack of Proactive Measures
Due to the absence of thorough data analysis and predictive insights, the client faced difficulties in recognizing patterns, foreseeing failures, and streamlining maintenance schedules. Consequently, they resorted to inefficient, reactive approaches.
To address the multifaceted challenges encountered by the client, a comprehensive and robust solution was meticulously designed and subsequently implemented.
The software delivered instant visibility into tower site health, performance, and security via a real-time analytics platform. An IoT gateway and industry-standard protocols allowed seamless monitoring of infrastructure, tracking power consumption, uptime, environmental conditions, fuel consumption, and quality parameters.
The software’s machine learning engine leveraged predictive analytics to forecast potential site outages, battery performance, fuel consumption, grid outages, and other key parameters. This empowered the client with actionable insights to optimize maintenance operations and minimize service disruptions.
The software enabled proactive identification of anomalies and root cause analysis, facilitating faster issue resolution and reducing downtime. It allowed for continuous monitoring of power infrastructure and other critical components.
Asset Management and Visualization
The software provided asset management capabilities, visualizations, reports, and actionable insights to enhance operational efficiency and ensure a seamless and reliable network infrastructure across tower sites.
The implementation of the software solution has had a significant impact on the client’s operations and business goals
The software’s planning capabilities enabled optimized resource allocation, improved operational efficiency, and cost-effective network management. The client could make informed decisions regarding genset fuelling plans, battery upgrades, replacements, and the feasibility of installing solar power at specific sites.
Leveraging predictive analytics and proactive measures, the client experienced prolonged equipment and battery life, reducing downtime and minimizing the risk of service disruptions. Correlations between network availability and power sources’ availability/utilization were established, optimizing the power mix and reducing operational costs.
The software’s implementation led to a substantial reduction in operational costs by up to 60%, decreased carbon emissions by 1.6 kilo tons per 100 tower sites, and significant diesel fuel consumption reduction by 6 million liters annually. This showcased the client’s commitment to sustainability and environmental responsibility.
Improved Network Performance
By employing predictive analytics and real-time monitoring, the client realized improved network performance, increased reliability, and reduced maintenance expenses, demonstrating their commitment to efficiency and cost savings