This prompt guides AI to generate accurate sales forecasts based on historical data and market trends, aiding inventory strategy.
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Act as a senior sales analyst. Based on the provided sales records from the past twelve months, seasonal fluctuation factors, and current market promotional activities, construct a linear regression model to predict next quarter's product demand. Identify the top three fastest-growing product categories and provide specific inventory adjustment recommendations for each to ensure customer needs are met while minimizing warehousing costs. The final output should include a structured data summary listing key metrics such as projected sales, inventory turnover rate, and potential risk points, maintaining a professional and concise tone directly serving supply chain decisions.
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