Systems and methods for predicting occurrences of consumers returning purchased devices

A server device for predicting device return, the server device comprising:

• a communication module configured to communicate with electronic devices via at least one network connection;
• a memory storing (i) a set of computer-executable instructions, and (ii) a set of device data associated with each of a plurality of electronic communication devices belonging to a plurality of consumers, each of the set of device data including (i) usage factors of the corresponding electronic communication device, and (ii) whether a return incident occurred for the corresponding electronic communication device;
• and
• a processor interfacing with the communication module and the memory, and configured to execute the computer-executable instructions to cause the processor to:
• correlate, as a set of stored correlations, the return incidents of the plurality of electronic communication devices to a portion of the usage factors of the plurality of electronic communication devices,
• calculate, based on the set of stored correlations, a set of coefficients respectively associated with the portion of the usage factors,
• receive, via the communication module from an electronic communication device belonging to a consumer different from the plurality of consumers, a usage data set associated with usage of the electronic communication device by the consumer,
• identify, from a first portion of the usage data set, a first usage factor of the portion of the usage factors correlated to the return incidents of the plurality of electronic communication devices,
• identify, from a second portion of the usage data set, a second usage factor of the portion of the usage factors correlated to the return incidents of the plurality of electronic communication devices,
• calculate (i) a first individual return probability for the first usage factor based on the first portion of the usage data set and a first coefficient of the set of coefficients associated with the first usage factor, and (ii) a second individual return probability for the second usage factor based on the second portion of the usage data set and a second coefficient of the set of coefficients associated with the second usage factor,
• calculate, based on the first individual return probability and the second individual return probability, a probability that the consumer will return the electronic communication device,
• determine that the probability is greater than a threshold probability, and
• in response to determining that the probability is greater than the threshold probability, remotely install software code on the electronic communication device via the communication module, wherein the software code comprises an upgrade or an update patch.