Telecom networks are often run reactively: teams wait for congestion, service degradation, or customer complaints before taking action. Capacity planning relies on manual spreadsheets and ad hoc reports, making it hard to justify investments or spot upcoming bottlenecks in time.
A Network KPI Forecasting solution gives you forward-looking visibility into network load, error rates, and capacity needs so you can act before problems arise. This is especially important for capacity decisions such as cell site densification, backhaul upgrades, and hardware refreshes, where planning and procurement cycles run in months, not days.
Polystar provides a self-service forecasting environment where data scientists and planners configure and run experiments without building pipelines or deployment tooling. KPIs flow in from existing analytics platforms and file-based inputs, so forecasts rely on metrics already trusted by your operations and planning teams.
Once an experiment meets your accuracy and business criteria, you can promote it to production with a few clicks. The platform generates production-ready forecasts on a schedule, keeps models updated with fresh data, and exposes results through a dedicated portal for operations, planning, and service assurance teams. This closes the loop from raw data to consumable, production-grade forecasts that drive better decisions across the organization.