Which groundbreaking big data technique was first widely adopted by scientific equipment retailers in 2015 that reduced inventory waste by over 40%?

In today's scientific retail landscape, big data analytics has transformed how research organizations and science-focused retailers operate. From predicting customer interests in scientific equipment to optimizing inventory of laboratory supplies, big data has revolutionized the scientific retail sector. This trivia question explores a fascinating milestone in how scientific retailers leveraged data analytics to transform their business model.

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Predictive maintenance algorithms that anticipated equipment failure rates
Customer segmentation based on research publication history
Real-time supply chain optimization through blockchain verification
Neural network-based price optimization for laboratory consumables