Time series forecasting for sales is well established in the business world. However, the nature of the data and often the domain area of the application can yield unexpected inconsistencies and constraints. Machine learning tools can be utilized to enhance the accuracy of predictions and support effective forecasting. This work presents the case of a small chain of bakeries where machine learning supported forecasting aims to tackle food wastage, enhance profit margins, and contribute to a more sustainable community.