Abstract: Systems and methods are disclosed for automatically projecting a number of days to pending for a real-estate property by receiving, by a server, real-estate property listing information of real-estate property activities associated with a plurality of real-estate properties and determining, for each of the plurality of real-estate properties, a days to pending amount indicating time between when a respective one of the plurality of real-estate properties was listed and when the respective real-estate property was sold. The systems and methods further train a machine learning technique to establish a relationship between the different types of real-estate property activities and the determined days to pending amounts. The trained machine learning technique is applied to new real-estate property activities associated with a new real-estate property to predict a length of time between a first time the new real-estate property was listed and a second time when the new real-estate property will be sold.