Crystalized in an AI-ML product, we bring an in-depth understanding of the telco business and the pain points experienced by CSPs. We focus on easing them in a manner that will maximize acceptance by the different stakeholders. * Building commercial forecasts that map to the different technologies: We start our journey by providing the marketing team with a user-friendly tool that allows them to bypass expensive external consultants and understand the technology adoption trends in the customer base, as well as a systematic approach to handling new use cases for which we lack proper historical data. * Breaking the wall between marketing and network: With marketing focused on customers (and increasingly devices), their forecasts and projections are hard to map into network traffic load, failing to properly align with the Network team's actionable elements, such as the BTS. For this, we provide a systematic approach that makes optimal use of available information to translate high-level commercial projections into street-level traffic load. * Incorporating CX elements into the optimization without overloading the marketing team: Most CSPs have embraced the “Golden sites” methodology that focuses on network elements as revenue-generating. This approach falls short in markets where customer expectations have moved to a more demanding stage, and it fails to acknowledge the impact of differences in network CX across operators on customer retention while tying the network team for several weeks, typically. Incorporating these elements into the solution involves a significant increase in computational complexity that requires an automated approach— essentially extending the concept of Automated Network from Network Operations to Network Planning. Furthermore, our solution targets delivery times that allow testing of multiple commercial scenarios and quarterly, even monthly, reviews. Looking at previous deployments in several countries, AI-ML Smart CAPEX unlocks CAPEX efficiency gains of 15-25% on new Network investments. Additionally, AI-ML Smart CAPEX also enables a 15-25% reduction in OPEX (including electricity consumption) on new CAPEX, along with reasonable spectrum and electricity savings on existing CAPEX— contributing significantly to Net Zero emissions goals by 2030.