As networks grow in scale and complexity, CSPs face the challenge of forecasting traffic accurately and planning infrastructure investments efficiently. They need to accurate forecasts to align rollout strategies with real demand. This Catalyst expands the proven smart CapEx model—developed for the radio access network in Phase I—into transport and core networks. Unlike access networks, transport and core layers require different CapEx planning rules. Access connects end devices to local nodes, while transport and core span wide areas, linking nodes for high-capacity data transfer. This Catalyst uses AI and machine learning in a cloud-based big data environment to meet these planning needs. The solution introduces a practical interface where marketing teams share traffic forecasts with network teams. It ingests commercial projections from marketing, and maps them to street-level geographies. It then applies spatio-temporal forecasting to predict traffic growth across time and location. The platform uses constraint-based optimisation to simulate rollout scenarios, balancing investment cost, infrastructure capacity, and quality of experience metrics. For transport and core networks, it applies graph-based algorithms and network simulation models to design efficient, scalable backhaul and core configurations. Results are visualized via a GIS dashboard, enabling data-driven CapEx planning aligned with demand and customer impact. The expected business impact includes 15–25% savings on CapEx and OpEx for new infrastructure, and significant efficiency gains across existing assets, as well improvement in energy efficiency. These savings come from optimized investments, fewer manual decisions, and faster deployment cycles. The real test is in the match between forecast and reality. When traffic predictions align with live network demand, CSPs unlock smarter investments, faster rollouts, and better service outcomes. This Catalyst will demonstrate that with the right data and AI, CapEx planning becomes a strategic advantage—not just a budgeting exercise.