Reactive capacity firefighting is a costly operational drain, leading to congestion, poor user experience, and emergency capital spend. This custom workflow automates proactive management by ingesting historical traffic, geolocation data, event calendars, and demographic trends into a time-series forecasting model. The system predicts future demand at a cell-sector granularity and identifies emerging hotspots weeks in advance. This shifts planning from a manual, periodic exercise to a continuous, data-driven process, directly reducing the risk of service degradation and the overhead of manual analysis.




