Which pioneering retail data analytics invention from the early 2000s first allowed retailers to accurately predict customer purchasing patterns based on previous buying behavior?

The world of retail analytics has evolved dramatically over the past decades, with certain breakthrough inventions and discoveries fundamentally changing how retailers understand customer behavior. This poll tests your knowledge of a pivotal moment in retail data analytics history that revolutionized how businesses track and predict consumer preferences. Can you identify the groundbreaking technology that transformed the retail landscape and gave birth to modern predictive analytics in stores worldwide?

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Basket Analysis Algorithm (BAA), which identified correlations between seemingly unrelated products purchased together
Visual Recognition Software (VRS), which tracked customer eye movements through store aisles
Digital Loyalty Card System (DLCS), which categorized customers into spending tiers
Store Traffic Optimization Protocol (STOP), which measured footfall patterns to optimize product placement