Which AI-driven retail personalization algorithm was specifically developed for science product retailers and revolutionized how laboratory equipment is recommended to researchers based on past purchases?

Personalization has revolutionized retail science. Today's most successful science retailers use sophisticated algorithms to analyze customer behavior and preferences, creating tailored shopping experiences that boost engagement and sales. This poll tests your knowledge about a groundbreaking retail personalization algorithm that changed how science product retailers understand customer preferences. Can you identify the technology that transformed scientific product recommendations?

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LabGenius Matrix: Analyzes research publication history alongside purchase patterns to suggest compatible equipment
ScienceBuy Recommender: Uses citation networks to predict researcher equipment needs
ResearchPath AI: Maps academic collaboration networks to suggest shared laboratory equipment
EquipmentMatch Protocol: Evaluates grant funding patterns to predict laboratory purchasing decisions