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I suspect that most of these problems are being actively worked on.

Unfortunately, while it's relatively straightforward to e.g. detect fake reviews in a static dataset, it's a constant arms race when you're doing so in an online adversarial setup. Same goes for counterfeit 3P goods.

Disclaimer: I work for Amazon, but not anywhere near the retail side.

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This seems a little hollow when there are third party sites who detect fake reviews on Amazons platform

My point is that if Amazon e.g. directly integrated with any one of those solutions you'd enter an adversarial scenario, and all of the scammers would try (and almost definitely succeed, even if just by brute force chasing false negatives) in finding a way around it.

The same would happen if e.g. half of Amazon customers would use one of these solutions.

The difference between being online versus being in an adversarial scenario largely depends on how / to what degree you're visibly impacting the bottom line of the scammers.

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