That’s a classic case of model drift—your algorithm is learning the weather as a proxy for sales. Check if you’re including day‑of‑week or temperature as features, or if the training data is skewed toward sunny periods. You might need a separate seasonality component or a stricter regularization. It’s the kind of “nice to have” bias that turns a good forecast into a nice trick.