Which machine learning technique revolutionized retail inventory management by reducing overstocking costs by an average of 30% according to a 2022 McKinsey study?

Machine learning is revolutionizing how retailers analyze customer behavior, optimize inventory, and personalize shopping experiences. Tech-driven retail innovations are creating competitive advantages for companies that effectively implement these tools. This poll tests your knowledge about one of the most significant ML applications that transformed retail analytics and decision-making in recent years.

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Reinforcement learning with dynamic reordering points
Convolutional neural networks for shelf image processing
Generative adversarial networks for customer behavior prediction
Random forest algorithms for supply chain optimization