Abstract: A computer-implemented method for resolving a potential loss of sale, is disclosed. The computer-implemented method includes determining a potential lost sale and an item associated with the potential lost sale. The computer-implemented method further includes determining a reason for the potential lost sale of the item. The computer-implemented method further includes determining one or more substitute items for the item based, at least in part, on the determined reason for the potential lost sale of the item. The computer-implemented method further includes presenting the one or more determined substitute items to a user.

Abstract: A computer implemented method for automatically customizing electronic commerce includes analyzing information relevant to the user's purchasing preferences, determining the user's purchasing preferences based on the analysis of the relevant information, determining a shopping list, wherein the shopping list comprises one or more products the user wants to purchase and one or more indications of the user's purchasing preferences for each of the one or more products, generating one or more digital shopping carts based on the shopping list, comparing a product in at least one of the one or more digital shopping carts to a corresponding product and a corresponding purchasing preference on the shopping list, determining one or more preferred digital shopping carts based on the comparison, and displaying to the user the one or more preferred digital shopping carts.

Abstract: Providing an Artificial Intelligence (AI) and Internet of Things (IoT) based system and method that predicts the chronological requirements for various components of the file-being-stored, and then takes an appropriate storage action on each component based on the predicted chronological requirements.

Abstract: Providing an Artificial Intelligence (AI) and Internet of Things (IoT) based system and method that predicts the chronological requirements for various components of the file-being-stored, and then takes an appropriate storage action on each component based on the predicted chronological requirements.

Abstract: A computer implemented method for automatically customizing electronic commerce includes analyzing information relevant to the user's purchasing preferences, determining the user's purchasing preferences based on the analysis of the relevant information, determining a shopping list, wherein the shopping list comprises one or more products the user wants to purchase and one or more indications of the user's purchasing preferences for each of the one or more products, generating one or more digital shopping carts based on the shopping list, comparing a product in at least one of the one or more digital shopping carts to a corresponding product and a corresponding purchasing preference on the shopping list, determining one or more preferred digital shopping carts based on the comparison, and displaying to the user the one or more preferred digital shopping carts.

Abstract: Provided are a computer program product, system, and method for determining secondary locations for fulfilment of items by a fulfilment system. A request is received for an item from a user. A primary location of the user is determined. User information in a data source is processed by a natural language processing module to determine whether the user has travel plans to a secondary location for a travel time period that includes an expected delivery date of the item to the secondary location. A determination is made of a secondary attribute of the item associated with the secondary location. A graphical user interface is generated with graphical elements visually representing a first attribute of the primary location, the determined secondary attribute, and computer commands to invoke a workflow to deliver the item to at least one of the primary location and the secondary location.

Abstract: Provided are a computer program product, system, and method for determining secondary locations for fulfilment of items by a fulfilment system. A request is received for an item from a user. A primary location of the user is determined. User information in a data source is processed by a natural language processing module to determine whether the user has travel plans to a secondary location for a travel time period that includes an expected delivery date of the item to the secondary location. A determination is made of a secondary attribute of the item associated with the secondary location. A graphical user interface is generated with graphical elements visually representing a first attribute of the primary location, the determined secondary attribute, and computer commands to invoke a workflow to deliver the item to at least one of the primary location and the secondary location.