In an era where accurate sales forecasting is crucial for business success, traditional statistical methods have shown their limitations due to their inability to handle the dynamic market behaviors. Our journey from these conventional models to the adoption of the Temporal Fusion Transformer (TFT) showcases a transformative approach in sales forecasting. This talk outlines the shift from traditional methods to TFT, highlighting its superiority in integrating diverse data sources and enhancing forecast accuracy. We discuss the challenges with traditional forecasting, introduce the benefits of TFT, including its flexibility and precision, and share insights from our implementation.