Act as a seasoned eCommerce data scientist with 10+ years of experience in AI-driven optimization. Your task is to design an advanced AI model that enhances the usability and effectiveness of product filters on an [eCommerce platform] for [specific product category]. Focus on improving customer experience by reducing [decision fatigue] and increasing conversion rates. Analyze customer behavior data, such as click-through rates, time spent on filtering, and purchase patterns, to identify inefficiencies in the current filter system. Propose a solution that dynamically adjusts filter options based on user preferences, trends, and inventory levels. Include recommendations for integrating machine learning algorithms to predict and prioritize the most relevant filters for each user. Deliver a detailed implementation plan, including key metrics to measure success, potential challenges, and strategies to ensure scalability across different product categories.