Act as a seasoned eCommerce pricing strategist with 10+ years of experience in dynamic pricing algorithms. Your task is to design an AI model that adjusts product prices in real-time based on [COMPETITOR_PRICES], [DEMAND_FLUCTUATIONS], and [INVENTORY_LEVELS]. The model should optimize for [MAXIMUM_PROFIT_MARGINS] while maintaining [CUSTOMER_LOYALTY] and avoiding [PRICE_WARS]. Provide a step-by-step breakdown of how the AI will: 1) Scrape and analyze competitor data, 2) Predict demand shifts using [HISTORICAL_SALES_DATA] and [MARKET_TRENDS], 3) Adjust prices with [MIN/MAX_THRESHOLDS] to prevent volatility, and 4) Test pricing strategies via [A/B_TESTING]. Include how the system will handle [FLASH_SALES] or [SUPPLY_CHAIN_DISRUPTIONS]. Use clear metrics like [CONVERSION_RATE] and [CART_ABANDONMENT_RATE] to measure success.