Abstract: A system comprising at least one database and a machine learning computing system to generate optimized learning modules with a track cycle; wherein a track cycle comprises at least one nano learning module, at least one micro learning module, and at least one macro learning module; wherein a track cycle further comprises at least one assessment corresponding to the at least one nano learning module, the at least one micro learning module, or the at least one macro learning module; wherein upon the completion of an assessment, said database is updated to confirm that a learning module, made up of the combination of the at least one nano learning module, at least one micro learning module, and the at least one macro learning module is completed; wherein the machine learning computing system identifies an optimized next track cycle to optimize the next learning module; wherein the machine learning comprises collecting data from at least one user comprising the user's skills and data, and generating optimized ou

Abstract: Method, apparatus and systems for managing product distribution and a data hub for connecting and integrating related systems are described herein. Data hubs are integrated with external sensors and automated systems to remove stress points for operating such systems. A distribution system which may interface with the data hubs allows for efficient distribution of products produces and monitored by environments that suffer such stress points.

Abstract: Method, apparatus and systems for managing product distribution and a data hub for connecting and integrating related systems are described herein. Data hubs are integrated with external sensors and automated systems to remove stress points for operating such systems. A distribution system which may interface with the data hubs allows for efficient distribution of products produces and monitored by environments that suffer such stress points.