Which machine learning application has most significantly influenced modern retail architecture design?

The intersection of architecture and retail analytics is transforming how physical stores are designed. Modern architectural firms increasingly incorporate data-driven design elements to optimize customer flow, engagement, and purchasing behavior. This trivia question explores how machine learning is specifically changing architectural approaches in retail spaces.

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

Heat mapping and customer flow analysis that informs spatial layout and circulation patterns
Voice recognition systems that determine optimal acoustic properties for store announcements
Facial recognition that adjusts lighting based on customer demographics entering the space
Inventory tracking algorithms that determine the structural load capacity needed for shelving systems