Abstract: Methods, apparatus, and processor-readable storage media for predicting web API call operations using machine learning techniques are provided herein. An example computer-implemented method includes obtaining input data pertaining to one or more operations within one or more web application programming interface calls; predicting at least one operation to be requested in a given web application programming interface call by processing the input data and data pertaining to the given web application programming interface call using one or more machine learning techniques; and performing at least one automated action based at least in part on the at least one predicted operation.

Abstract: In some examples, a server may receive an order to acquire (e.g., purchase or lease) a plurality of items. The server may determine a set of attributes associated with individual items of the plurality of items. The server may select a particular rule from one or more rules. The particular rule may include a rule attribute, a rule condition, and a rule action. The server may determine that a particular attribute of the set of attributes associated with an item of the plurality of items satisfies the rule attribute and the rule condition of the particular rule. In response, the server may perform the rule action by placing the item in a sub-cart based and send the sub-cart to a fulfillment location identified by a fulfillment location identifier attribute of the item.