Abstract：Knowing What the Patron WantsUsing Predictive Analytics to Transform Library Decision Making Predictive analytics and machine learning are burgeoning areas of professional practice for large corporations especially businesses that offer products and services to customersThe power to better understand the movement of large amounts of data in a company and the capability to deploy that data to meet a customers needs is invaluable from a services standpointSome in libraries have theorized that this type of data usage could possibly be used in a library service environment as wellIn this articlewe demonstrate how you can develop and use machine learning algorithms and predictive analytics to proactively understand library behaviorAlthough libraries are good at data collectionwe often rely on statics or old data for assessmentUtilizing a machine learning systemcalled the Automated Library Information Exchange NetworkALIENwe can better understand the movement of the items in the collection and better serve the needs of our customers the library patrons Library AutomationTo better understand the flow of items in the museum throughAutomated Library Information Exchange NetworkAliensystemConsulting ServiceForecast analysis and machine learning can be used to better understand and meet the needs of library readersRetrieval and IndexingUnderstand the flow of museum through the technology of machine learningwhich may involve the optimization of retrieval and indexesThe article mentioned how to use prediction analysis and machine learning to actively understand the behavior of the libraryIt talked about a machine learning system calledAutomated Library Information Exchange NetworkAlienwhich can better understand the flow of items in the museumso as to better meet the needs of library readers