Which machine learning technique revolutionized scientific equipment retail by enabling 'predictive maintenance' capabilities that alert customers before their lab equipment fails?

The intersection of science and retail has created revolutionary advancements in customer experience. Machine learning algorithms now power many aspects of the modern shopping experience, from inventory management to personalized recommendations. This trivia tests your knowledge about a groundbreaking ML application that changed how scientific equipment retailers operate worldwide.

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Convolutional Neural Networks (CNNs) analyzing equipment images to detect microscopic wear patterns
Random Forest algorithms processing IoT sensor data to identify anomalous operating patterns
Natural Language Processing (NLP) analyzing equipment manuals to generate maintenance schedules
Reinforcement Learning models that simulate equipment usage under various laboratory conditions