Telkomsel, Indonesia’s largest telecom operator, manages a highly complex nationwide network spanning dense urban environments and geographically distributed islands. Fragmented radio, performance, and commercial data systems limited the ability to identify hidden capacity and revenue opportunities, while traditional planning approaches relied heavily on costly infrastructure expansion rather than fully optimizing existing assets to improve coverage, capacity, and customer experience.
SandOS in Action
Integrated intelligence combined radio configuration parameters including power, tilt, azimuth, height, and multiband frequencies with network performance and commercial indicators. Simulation models evaluated optimization scenarios across clusters and cities, identifying configuration changes to improve traffic, coverage, and capacity, while AI-driven capex modelling prioritised sites most likely to increase revenue and network performance across the nationwide network.
The Impact
Optimization increased data traffic by 8–15%, improved coverage by 5–8%, and increased capacity by 8–13% without requiring additional infrastructure investment. This AI-driven planning unlocked an estimated value of $10–50 million annually, improving revenue per site and enabling more efficient capital allocation across Telkomsel’s network.
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