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Smart Network CapEx
Smart Network CapEx

Demand Forecasting

Without accurate demand forecasting, network planning teams struggle to anticipate and prepare for surging demand, leading to reactive and costly upgrades that still fail to meet customer needs. With Locatium's Smart Network CapEx, you can uncover hidden patterns in demand and make data-driven capital investment decisions to stay ahead of growth. By predicting demand by geography, customer segment, and technology type, you can optimize your network to meet future needs and deliver a better customer experience.

12%
Reduced CapEx allocation
30 days
Faster network deployment
95%
Predictive accuracy rate
The Challenge

What makes demand forecasting hard today

Inaccurate demand signals
Historical usage patterns are poor predictors of future demand, leading to over- or under-investment in network capacity.
Limited visibility into patterns
Planners struggle to identify and quantify the impact of external factors like weather, events, or competitor actions on network demand.
Insufficient granular insights
Aggregate data hides localized hotspots of demand, making it difficult to optimize network upgrades and capacity planning at the cell-tower level.
High planning cycle times
Manual analysis and planning processes slow down the response to changing demand, leaving the network vulnerable to congestion and outages.
The Product

Smart Network CapEx powers this use case

Smart Network CapEx
Network planning & rollout optimization
AI-powered capital expenditure planning that fuses demand signals, spectrum assets, competitor coverage, and site feasibility into a prioritized rollout plan — cutting planning cycles from months to days.
RAN FTTH/FWA Transport & Core Data Center Towers
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Case Studies

See demand forecasting in action

Telecom · APAC
Leading Telco Operator in APAC
78%
Faster planning
$40M+
CapEx reallocated
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Telecom · Indonesia
Leading Telco Operator in Indonesia
4.5×
Faster cycles
23%
CapEx reallocation
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Get Started

Optimize Network Capacity with 95% Accurate Demand Forecasts

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