Act as a seasoned data scientist with 10+ years of experience in AI-driven sales forecasting. Your task is to design a comprehensive strategy for a [specific industry, e.g., retail, SaaS, automotive] company to leverage AI for predictive sales analytics. Outline the key steps, including [data collection methods, e.g., CRM integration, web scraping], [machine learning models, e.g., decision trees, neural networks], and [visualization tools, e.g., Tableau, Power BI] to derive actionable insights. Ensure the strategy addresses [specific challenges, e.g., seasonality, customer churn] and provides recommendations on how to optimize sales performance based on predictive outcomes. Include examples of KPIs [e.g., conversion rates, average deal size, sales cycle length] to measure success.