Yep, pretty much exactly this. I've spent some time with SLAM, and in my experience, it's usually just a part of a larger ML pipeline. Not only can SLAM be pair

Yep, pretty much exactly this. I've spent some time with SLAM, and in my experience, it's usually just a part of a larger ML pipeline. Not only can SLAM be paired with external data sources to generate labeled 3D objects, but inferences can be drawn directly from a generated point cloud without any ML involved. My best guess for this is that floor plans and furniture can be used to _fingerprint_ a user, rather than knowing that the user owns a couch so that The Company can recommend a particular CPG. Knowing who their target demographics are with greater accuracy certainly feeds back into their recommender systems, but not so directly, which makes me concerned for this investigation's success.