Which machine learning application has most dramatically improved inventory management for scientific supply retailers?

Machine learning is transforming how scientific equipment and supplies are marketed and sold. From predictive inventory management to personalized product recommendations, AI algorithms are helping science retailers better understand researcher needs and optimize their operations. Test your knowledge about how machine learning is being implemented in the specialized scientific retail sector!

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Demand forecasting algorithms that predict seasonal research trends and funding cycles
Facial recognition systems that identify researchers when they enter physical stores
Virtual reality simulations that allow customers to test equipment before purchasing
Blockchain systems that track laboratory supply chain movements