CHEPQ diagnostic platforms increasingly incorporate machine learning algorithms trained on vast datasets of vehicle faults, repair outcomes, and sensor readings. When a fault code appears, the software ranks probable causes by matching symptom patterns, reducing diagnosis time. This intelligent prioritization guides technicians toward effective repairs, minimizing unnecessary part replacements and boosting customer satisfaction.