Which machine learning technique is most commonly used by major sports retailers to predict seasonal demand for team merchandise following championship wins?

In today's competitive sports retail landscape, advanced analytics and consumer insights drive strategy and growth. Modern sports retailers are leveraging sophisticated data analysis and machine learning to optimize everything from inventory to personalized marketing. How well do you understand the technology powering the business side of sports retail? Test your knowledge of how data science is transforming the sports merchandise industry!

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Time series forecasting with LSTM neural networks that incorporate historical sales data, social media sentiment, and team performance metrics
Random forest models based primarily on weather patterns and regional demographics
Simple linear regression models using only previous years' sales figures
Unsupervised clustering algorithms that group customers by favorite sports without considering team performance