Systems, devices, and methods for computing geographical relationships between objects

A method for locating objects comprising:

• receiving, from an optical reader, machine readable features associated with a plurality of objects collected from a plurality of locations, the plurality of objects being associated with a plurality of object groups, each of the plurality of object groups including a subset of the plurality of objects;
• generating, via a computational device, a first set of statistical data indicative of a frequency at which machine readable features associated with a first set of objects and machine readable features associated with a second set of objects are read within each of a plurality of object groups, each object from the first set of objects originating from a known first geographical location;
• retrieving from the database, via the computational device, a second set of statistical data indicative of a historical frequency at which past groups of objects included machine readable features associated with the first set of objects and machine readable features associated with the second set of objects during a previous time interval;
• and
• computing, via the computational device, a geographical relationship between the objects from the first set of objects and a portion of the objects from the second set of objects based on a comparison between the first set of statistical data and the second set of statistical data.

A non-transitory machine readable medium storing instructions executable by a processing device, wherein execution of the instructions causes the processing device to implement a method for locating objects, the method comprising:

• receiving, from an optical reader, machine readable features associated with a plurality of objects collected from a plurality of locations, the plurality of objects being associated with a plurality of object groups, each of the plurality of object groups including a subset of the plurality of objects;
• generating a first set of statistical data indicative of a frequency at which machine readable features associated with a first set of objects and machine readable features associated with a second set of objects are read within each of a plurality of object groups, each object from the first set of objects originating from a known first geographical location;
• retrieving from the database a second set of statistical data indicative of a historical frequency at which past groups of objects included machine readable features associated with the first set of objects and machine readable features associated with the second set of objects during a previous time interval;
• and
• computing a geographical relationship between the objects from the first set of objects and a portion of the objects from the second set of objects based on a comparison between the first set of statistical data and the second set of statistical data.