Which groundbreaking big data technology first allowed scientific supply retailers to predict researcher needs before purchase patterns emerged?

In the rapidly evolving scientific retail landscape, big data analytics has transformed how research equipment, laboratory supplies, and scientific instruments are marketed and sold. Major scientific supply companies now leverage sophisticated data analysis to personalize offerings and predict customer needs. How well do you understand the technological revolution happening behind the scenes of scientific retail?

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Hadoop Distributed File System (HDFS), which enabled scientific retailers to process research citation patterns alongside purchase history
IBM Watson Analytics, which specialized in analyzing laboratory equipment maintenance schedules
Amazon Redshift, which was originally developed specifically for scientific supply chain optimization
Google's TensorFlow, which was first implemented to track laboratory consumable usage patterns