Federico Bacci, a data scientist and ML engineer at Bol, shares his expertise in deploying machine learning models for e-commerce forecasting. He delves into the importance of model explainability and feature engineering over mere model complexity. The discussion highlights the challenges of integrating feedback from stakeholders and the intricacies of demand forecasting. Federico argues that large language models aren't always the answer, advocating instead for tailored solutions that effectively address specific business needs.