Which customer analytics technique is most commonly used by grocery stores to increase sales of complementary food items?

In today's competitive food retail landscape, understanding customer behavior is crucial for success. Modern grocery stores and food retailers use sophisticated analytics to track purchasing patterns, optimize product placement, and create targeted marketing campaigns. This trivia question tests your knowledge of how food retailers leverage customer analytics to boost sales of specific food categories. Are you as savvy about retail food analytics as you are about food itself?

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Market basket analysis that identifies items frequently purchased together (like pasta and sauce)
Neural network modeling that predicts ingredient substitutions based on global supply chains
Sentiment analysis of social media posts about cooking preferences
Biometric tracking of customer eye movements in store aisles