The interesting question isn't whether the tech was ready. It wasn't. The question is whether Amazon learned anything useful from the attempt.
Computer vision for retail checkout is a legitimate hard problem. Occlusion, similar-looking products, people changing their minds. I've worked on CV pipelines and the gap between "works in the demo" and "works at scale" is brutal.
My guess: they collected a ton of training data from those human reviewers. Whether they'll use it for a v2 or just write it off, who knows.