AI-driven FTTH and FWA planning that models take rates, cost to serve, and competitive overlap to prioritize neighborhoods with the highest ROI.
Fiber rollouts are often planned from high-level census data, ignoring local competition, housing stock, and right-of-way constraints. The result is overbuild in low-demand pockets and missed opportunities in high-intent zones.
Without a unified model of demand, cost, and feasibility, teams spend months debating boundaries and still struggle to hit take-rate targets.
A mid-size ISP used Locatium to re-sequence its build plan and focus on the top 30% of blocks by conversion likelihood, accelerating payback while keeping crews fully utilized.
Share your build boundary and we will return a prioritized block list with take-rate and cost-to-serve scores.