Abstract: Methods and systems for recommending safe vehicle seats and/or predicting the replacement time of vehicle seats. The systems and methods may include (1) training a machine learning model using a set of characteristics of previously recommended vehicle seats to generate a vehicle seat recommendation score for one or more vehicle seats; (2) receiving a request for a vehicle seat recommendation; (3) receiving input data; (4) determining a set of characteristics of the input data; (5) applying the set of characteristics of the input data to the machine learning model to generate a vehicle seat recommendation score for the one or more vehicle seats; (6) ranking the one or more vehicle seats by vehicle seat recommendation score to generate a vehicle seat recommendation list; and/or (7) presenting the vehicle seat recommendation list to a client device.

Abstract: Methods and systems for recommending safe vehicle seats and/or predicting the replacement time of vehicle seats. The systems and methods may include (1) training a machine learning model for predicting a replacement time of one or more vehicle seats using (i) a set of characteristics of a previously recommended vehicle seat and/or (ii) replacement times for the previously recommended vehicle seat; (2) receiving input data related to a previously recommended vehicle seat; (3) determining a set of characteristics of the input data; (4) applying the set of characteristics of the input data to the machine learning model to determine the predictive replacement time for replacing the one or more vehicle seats; and/or (5) providing an indication of the predictive replacement time for display on a client device.