Abstract: Systems and methods for automated buying are disclosed. In some embodiments, a method may include implementing a just-in-time purchasing plan prior to arrival of a seasonal period, receiving an indication of one or more business goals corresponding to an item to be stocked in inventory during a seasonal period, and receiving an indication of one or more operational constraints corresponding to the seasonal period. The method may also include evaluating a financial cost function with a multi-constraint optimization model to provide a seasonal purchasing plan for the item during the seasonal period based, at least in part, on the business goals and operational constraints. In some cases, the business goals and operational constraints may cause the seasonal purchasing plan to depart from the just-in-time purchasing plan. The method may further include causing an automatic purchasing of the item that implements the seasonal purchasing plan during the seasonal period.

Abstract: Systems and methods for supply risk detection are disclosed. In some embodiments, a method includes identifying fulfillment-related features corresponding to an item to be stored in inventory. The method also includes selecting a subset of the fulfillment-related features that is correlated with a supply constraint associated with the item. For example, in some cases the correlation is based on historical supply constraint data. The method further includes building a supply risk early detection model based, at least in part, upon the subset fulfillment-related features and evaluating the model to determine a probability that a third-party vendor will suffer a shortage of the item, as well as an expected duration of the shortage. Upon evaluation of the model, the method may include creating a purchasing plan for the item that takes into account the probability of the shortage and the expected duration of the shortage.

Abstract: Systems and methods for supply risk detection are disclosed. In some embodiments, a method includes identifying fulfillment-related features corresponding to an item to be stored in inventory. The method also includes selecting a subset of the fulfillment-related features that is correlated with a supply constraint associated with the item. For example, in some cases the correlation is based on historical supply constraint data. The method further includes building a supply risk early detection model based, at least in part, upon the subset fulfillment-related features and evaluating the model to determine a probability that a third-party vendor will suffer a shortage of the item, as well as an expected duration of the shortage. Upon evaluation of the model, the method may include creating a purchasing plan for the item that takes into account the probability of the shortage and the expected duration of the shortage.