The debut of Apple's iPhone in 2007 marked a location data revolution, which has led to an unprecedented amount of location data known as Location Data 2.0. Companies are employing Location Intelligence tools like spatial analysis to transform location data into business outcomes and surpass their competitors. Spatial optimization techniques such as dynamic routing and linear programming can optimize resource allocation, reduce collection frequency, and improve fuel costs in industries like waste management. Gradient boosting models and machine learning are being used to generate optimization algorithms for future price predictions, while indoor analytics build gradient boosting models with location data to predict in-store traffic more accurately and understand customer segments and behavioral patterns. As the business landscape continues to change, Location Intelligence is expected to play a significant role in transforming location data into business outcomes.