Which machine learning algorithm was first successfully implemented by a major scientific equipment retailer to reduce inventory waste by predicting reagent shelf-life with 97% accuracy?

The intersection of science and retail has led to revolutionary applications of machine learning in inventory management. Major scientific advancements in predictive analytics have transformed how research laboratories and scientific equipment retailers forecast demand, reduce waste, and optimize supply chains. Test your knowledge about a groundbreaking machine learning application that changed scientific retail forever!

This is a live public trivia poll on AIPolls.Net. Vote and see real-time results.

Gradient Boosting Decision Trees (XGBoost)
Convolutional Neural Networks (CNN)
Long Short-Term Memory Networks (LSTM)
Support Vector Machines (SVM)