What technology uses geographical location to personalize data for the consumer?

Geofencing is the correct answer because it specifically involves using geographical location data to create a virtual perimeter around a real-world area. When a consumer’s device, such as a smartphone, enters or exits this perimeter, it can trigger notifications, personalized advertising, or other interactions based on the consumer’s location. This technology allows businesses to tailor their marketing strategies and services to individuals based on where they are at any given time, enhancing consumer engagement by delivering relevant information or offers that are contextually appropriate.

In contrast, cloud computing refers to the provision of computing services over the internet, allowing users to access and store data and applications off-site. While cloud computing can support various applications, it does not inherently focus on geographical personalization. Data mining involves analyzing large datasets to discover patterns and extract useful information, but it does not specifically target geographical location as a basis for personalization. Artificial intelligence can certainly play a role in processing and interpreting location-based data but does not directly utilize geographical location for the specific purpose of personalization; rather, it encompasses a broader range of capabilities in learning and decision-making. Thus, geofencing stands out as the technology that directly connects geographical location with personalized consumer data.