Network complexity is ever increasing. The introduction of 5G on top of legacy 2G, 3G and 4G networks, coupled with subscribers' increasing expectations of a mobile experience close to fiber broadband, puts tremendous pressure on the communication service providers managing day-to-day operations. Service providers also face immense financial challenges due to decreasing revenue per gigabyte and market saturation, making it critical for survival to ensure maximum return on network investment decisions. How can we leverage AI to transform our approach to network investment decisions, in order to make it faster, more granular, and able to quickly assess a variety of precise what-if scenarios that take traffic forecasts, user experience and revenue potential into consideration? A typical capacity planning exercise starts with the planning strategy phase.