Choosing the wrong inference pattern can quietly hurt both user experience and cost.
In one case, recommendations are refreshed every few hours, so the system reacts slowly to recent user actions. In another, every transaction is scored in real time, even when many decisions aren’t time-sensitive and could be handled in batch.
Different outcomes, same root cause: the inference setup doesn’t match the problem.