Azim Zarei and Rashid Faridnia
The automotive industry is characterized by rapid technological advancements and increasing market competition, necessitating effective product development strategies. This paper presents an AI-based expert system designed to enhance decision-making at each stage of the product development process, utilizing a stage-gate framework. By integrating machine learning algorithms and data analytics, the expert system aids in evaluating project feasibility, risk assessment, and prioritization of product features. The system's effectiveness is demonstrated through a case study involving multiple automotive projects, showcasing its potential to optimize decision-making and improve project outcomes.