Case Study

UST helped cellular services provider optimize network performance, improving call quality by 10-12%

Our client wanted to optimize its 5G network to improve performance. After analyzing network data with sophisticated AI and ML algorithms, the company reduced signal and noise interference by 12-15%, increased data transmission speeds by nearly 18%, and improved overall call quality by 12%.


This Indian telecommunications company was founded more than a decade ago. As one of the region's leading 5G network providers, the company serves nearly 450 million customers and generates approximately $10 billion in revenue.


Implementing a plan to improve network performance

To maintain its top-tier status as a dominant wireless telecommunications provider pan-India, this managed network operator wanted to implement a strategy to improve key performance indicators (KPIs) to enhance network performance. By focusing on metrics, like accelerating transmission speed, increasing throughput, improving signal strength, reducing latency, and decreasing network jitter, the company could maintain its tier 1 status and enhance customer satisfaction.


Identifying points of improvement by analyzing network data with AI and ML algorithms

Using our proprietary artificial intelligence (AI) and machine learning (ML)-based network optimization platform, UST analyzed the company’s network data using unsupervised and neural algorithms to train and analyze unlabeled and untagged data sets to identify new and unique data patterns. These data patterns provided insights to optimize and enhance KPIs in the telecom provider’s network for coverage improvements, interference mitigation, load balancing, call drops, and call mutes.


Enhancing overall call quality by 10-12%

The automated AI-ML analytics platform generated rapid results, enabling the company to optimize key performance metrics across its 5G network to improve service and enhance the customer experience, including: