Method and system for sales recommendations with graphical analysis of multifunctional printer and customer data using demographic, economic, multifunctional printer usage characteristics

A non-transitory computer readable medium (CRM) storing computer program code executed by a computer processor that performs a process for recommending products based on usage of one or more multifunctional printers, the process comprising:

• collecting usage data from a multifunctional printer;
• classifying the usage data from the multifunctional printer into one or more categories;
• comparing the usage data from the multifunctional printer in each of the one or more categories to usage data from one or more other multifunctional printers, wherein the comparing of the usage data from the multifunctional printer in each of the one or more categories to usage data from the one or more other multifunctional printers comprises:
• graphing the usage data from the multifunctional printer;
• graphing the usage data from one or more other multifunctional printers;
• and
• employing a graphical community detection algorithm to cluster the usage date from the multifunctional printer and the usage data from the one or more other multifunctional printers into clusters having similar demographic, economic and/or multifunctional printer usage characteristics, and wherein the graphical community detection algorithm is a deep fully connected neural network;
• determining one or more usage patterns for the multifunctional printer from the comparison of the usage data between the multifunctional printer in each of the one or more categories to the usage data from one or more other multifunctional printers;
• identifying one or more products or services based on the one or more usage patterns for the multifunctional printer;
• and
• recommending one or more products or services for the multifunctional printer based on the identified one or more products or services through a graphical user interface (GUI).

A method for recommending products based on usage of one or more multifunctional printers, the method comprising:

• collecting usage data from a multifunctional printer;
• casting the usage data from the multifunctional printer into a form of a graph with nodes and edges representing features of the multifunctional printer and relationships between the features of the multifunctional printer;
• graphing usage data from one or more other multifunctional printers;
• and
• employing a graphical community detection algorithm to cluster the usage data from the multifunctional printer and the usage data from the one or more other multifunctional printers into clusters having similar demographic, economic and/or multifunctional printer usage characteristics.