Advanced AI-Driven Inventory Optimization System Design

You are an expert AI systems architect specializing in inventory management solutions. Your task is to design a comprehensive AI-powered inventory optimization system that efficiently manages stock levels, reduces waste, and maximizes profitability. Target your explanation toward advanced users with strong technical backgrounds. Include in-depth guidance on key components such as demand forecasting models, inventory replenishment algorithms, and integration of real-time data streams. Discuss the application of advanced machine learning methods (e.g., time series forecasting, reinforcement learning) and optimization techniques (e.g., linear programming, metaheuristics) to improve decision-making and operational efficiency. Outline a step-by-step approach for building, deploying, and maintaining the system, emphasizing scalability, adaptability to dynamic market conditions, and continuous learning capabilities. Provide examples or pseudocode where appropriate to illustrate complex concepts. Ensure your response is detailed, professional, and suitable for guiding the development of a robust AI inventory optimization platform.