Abstract: Systems, methods, and apparatuses for generating a fluid analysis report with key issues to improve vehicle maintenance are provided. A processing circuit is configured to: obtain information regarding a plurality of fluids from a plurality of vehicles; determine a plurality of thresholds based on the information; analyze a fluid sample from a particular vehicle to identify a fluid type of the fluid sample; identify a vehicle type of the particular vehicle associated with the fluid sample; retrieve a population of the obtained information pertinent to at least one of the identified fluid type of the fluid sample or the vehicle type of the particular vehicle; retrieve at least one threshold associated with the retrieved population; compare a characteristic of the fluid sample to the retrieved at least one threshold; and generate and provide a dynamic graphical user interface regarding the comparison to a computing device.

Abstract: A method comprises inputting used oil analysis data to a pre-trained predictive model, the used oil analysis data including values quantifying a plurality of chemical components measured in a sample of used oil taken from an engine under analysis, determining a probability of at least one fail code with the pre-trained predictive model in response to the used oil analysis data, the at least one fail code corresponding to one of a plurality of predetermined engine failure types, providing the at least one fail code and the probability of the at least one fail code to an expert system, performing with the expert system a root cause analysis of the at least one fail code determine a root cause indicating a preventative maintenance action, and performing the predictive maintenance action on the engine under analysis.