Which retail innovation first used geographic data mining to create location-specific product recommendations based on regional preferences?

In the world of retail, understanding geographic patterns and customer behavior has led to revolutionary innovations in how products are developed and marketed. Companies are constantly seeking ways to leverage location-based data to enhance customer experiences and drive sales. This poll tests your knowledge about a significant geographic retail technology innovation that changed how brands connect with customers across different locations.

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

Amazon's Geo-Predictive Inventory System (2011)
Walmart's Local Favorites Algorithm (2014)
Target's Regional Preference Engine (2016)
Alibaba's Cultural Commerce Platform (2013)