Which big data analytics technique revolutionized how scientific instrument retailers predict product obsolescence and drove a 300% increase in R&D efficiency?

In the intersection of science and retail, big data analytics has transformed how companies understand customer behavior and optimize their operations. This poll tests your knowledge about a groundbreaking retail big data application that changed how scientific product development is approached in the consumer market. Can you identify the revolutionary analytics technique that transformed product development in the scientific instrument retail sector?

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Predictive maintenance algorithms using LSTM neural networks that identified patterns in instrument failure before they occurred
Customer sentiment analysis using NLP to detect emerging research trends from social media discussions
Computer vision analysis of laboratory workflow patterns to identify instrument usage inefficiencies
Quantum computing simulations to predict breakthrough scientific discoveries requiring new instruments