We are most grateful to all discussants for their positive comments and many thought-provoking questions. In addition, the discussants provide a number of useful leads into various areas of the literatures on time series, forecasting and commercial application within which the work in our paper is, of course, just one contribution linked to multiple threads. Our view is that, collectively, the discussion contributions nicely expand on the core of the paper and together -- with multiple additional references -- provide an excellent point-of-entr\'ee to the broader field of retail forecasting and its research challenges. Interested readers are encouraged to dig deeply into the discussions and our responses here, and explore referenced sources. There are several themes that recur across discussants, as well as a range of specific points/questions raised. Following some "big-picture" comments on our perspectives on Bayesian forecasting systems, we comment in turn on some specifics in each contribution.

翻译：我们非常感谢所有讨论者的积极评价和诸多发人深省的问题。此外，讨论者还提供了许多有价值的线索，涵盖了时间序列、预测和商业应用等文献领域的多种方向。我们的论文正是这些领域中的一个贡献，并与多个研究方向相关联。我们认为，总体而言，这些讨论内容很好地扩展了论文的核心，并与众多额外的参考文献一起，为零售预测及其研究挑战这一更广泛领域提供了极佳的切入点。我们鼓励感兴趣的读者深入研读这些讨论及我们的回应，并探索所引用的来源。讨论者提出的问题既包含一些反复出现的主题，也涉及一系列具体观点/疑问。在就我们对贝叶斯预测系统的看法进行一些“宏观”评论之后，我们将逐一回答每项讨论中的具体问题。