Abstract: Example methods and systems are directed to a managed inventory. A database may store information regarding items owned by a user. The information regarding an item may include a quantity owned and one or more triggering events. Based on the occurrence of a triggering event, an order for the item may be placed without user intervention. Data to the database may be provided by one or more sensors. Triggering events may be defined in terms of sensor data. The triggering event may be defined by a user or through machine learning. The order may be placed using a predetermined modality or a dynamically-determined modality based on one or more criteria, such as price, shipping speed, and the urgency of the order.

Abstract: Example methods and systems are directed to a managed inventory. A database may store information regarding items owned by a user. The information regarding an item may include a quantity owned and one or more triggering events. Based on the occurrence of a triggering event, an order for the item may be placed without user intervention. Data to the database may be provided by one or more sensors. Triggering events may be defined in terms of sensor data. The triggering event may be defined by a user or through machine learning. The order may be placed using a predetermined modality or a dynamically-determined modality based on one or more criteria, such as price, shipping speed, and the urgency of the order.

Abstract: Example methods and systems are directed to a managed inventory. A database may store information regarding items owned by a user. The information regarding an item may include a quantity owned and one or more triggering events. Based on the occurrence of a triggering event, an order for the item may be placed without user intervention. Data to the database may be provided by one or more sensors. Triggering events may be defined in terms of sensor data. The triggering event may be defined by a user or through machine learning. The order may be placed using a predetermined modality or a dynamically-determined modality based on one or more criteria, such as price, shipping speed, and the urgency of the order.

Abstract: Example methods and systems are directed to a managed inventory. A database may store information regarding items owned by a user. The information regarding an item may include a quantity owned and one or more triggering events. Based on the occurrence of a triggering event, an order for the item may be placed without user intervention. Data to the database may be provided by one or more sensors. Triggering events may be defined in terms of sensor data. The triggering event may be defined by a user or through machine learning. The order may be placed using a predetermined modality or a dynamically-determined modality based on one or more criteria, such as price, shipping speed, and the urgency of the order.

Abstract: A method and a system to determine a product identification of an item for sale in an online publication system is shown and described. For example, the method may be initiated when an input identifying an item is received from a user. An input type (e.g., image, text, audio recording, etc.) may be determined and one or more identification services may be selected based on the input type. At least a portion of the input is transmit to the selected one or more identification services. A product identification is received from each of the one or more identification services. Based on the received product identifications, a recommended product identification is determined. The recommended product identification is transmitted to the user.

Abstract: Example methods and systems are directed to a managed inventory. A database may store information regarding items owned by a user. The information regarding an item may include a quantity owned and one or more triggering events. Based on the occurrence of a triggering event, an order for the item may be placed without user intervention. Data to the database may be provided by one or more sensors. Triggering events may be defined in terms of sensor data. The triggering event may be defined by a user or through machine learning. The order may be placed using a predetermined modality or a dynamically-determined modality based on one or more criteria, such as price, shipping speed, and the urgency of the order.

Abstract: Example methods and systems are directed to a managed inventory. A database may store information regarding items owned by a user. The information regarding an item may include a quantity owned and one or more triggering events. Based on the occurrence of a triggering event, an order for the item may be placed without user intervention. Data to the database may be provided by one or more sensors. Triggering events may be defined in terms of sensor data. The triggering event may be defined by a user or through machine learning. The order may be placed using a predetermined modality or a dynamically-determined modality based on one or more criteria, such as price, shipping speed, and the urgency of the order.

Abstract: Example methods and systems are directed to a managed inventory. A database may store information regarding items owned by a user. The information regarding an item may include a quantity owned and one or more triggering events. Based on the occurrence of a triggering event, an order for the item may be placed without user intervention. Data to the database may be provided by one or more sensors. Triggering events may be defined in terms of sensor data. The triggering event may be defined by a user or through machine learning. The order may be placed using a predetermined modality or a dynamically-determined modality based on one or more criteria, such as price, shipping speed, and the urgency of the order.

Abstract: Example methods and systems are directed to a managed inventory. A database may store information regarding items owned by a user. The information regarding an item may include a quantity owned and one or more triggering events. Based on the occurrence of a triggering event, an order for the item may be placed without user intervention. Data to the database may be provided by one or more sensors. Triggering events may be defined in terms of sensor data. The triggering event may be defined by a user or through machine learning. The order may be placed using a predetermined modality or a dynamically-determined modality based on one or more criteria, such as price, shipping speed, and the urgency of the order.

Abstract: A method and a system to determine a product identification of an item for sale in an online publication system is shown and described. For example, the method may be initiated when an input identifying an item is received from a user. An input type (e.g., image, text, audio recording, etc.) may be determined and one or more identification services may be selected based on the input type. At least a portion of the input is transmit to the selected one or more identification services. A product identification is received from each of the one or more identification services. Based on the received product identifications, a recommended product identification is determined. The recommended product identification is transmitted to the user.

Abstract: A method and a system to determine a product identification of an item for sale in an online publication system is shown and described. For example, the method may be initiated when an input identifying an item is received from a user. An input type (e.g., image, text, audio recording, etc.) may be determined and one or more identification services may be selected based on the input type. At least a portion of the input is transmit to the selected one or more identification services. A product identification is received from each of the one or more identification services. Based on the received product identifications, a recommended product identification is determined. The recommended product identification is transmitted to the user.

Abstract: Example methods and systems are directed to a managed inventory. A database may store information regarding items owned by a user. The information regarding an item may include a quantity owned and one or more triggering events. Based on the occurrence of a triggering event, an order for the item may be placed without user intervention. Data to the database may be provided by one or more sensors. Triggering events may be defined in terms of sensor data. The triggering event may be defined by a user or through machine learning. The order may be placed using a predetermined modality or a dynamically-determined modality based on one or more criteria, such as price, shipping speed, and the urgency of the order.

Abstract: Example methods and systems are directed to a managed inventory. A database may store information regarding items owned by a user. The information regarding an item may include a quantity owned and one or more triggering events. Based on the occurrence of a triggering event, an order for the item may be placed without user intervention. Data to the database may be provided by one or more sensors. Triggering events may be defined in terms of sensor data. The triggering event may be defined by a user or through machine learning. The order may be placed using a predetermined modality or a dynamically-determined modality based on one or more criteria, such as price, shipping speed, and the urgency of the order.

Abstract: A method and a system to determine a product identification of an item for sale in an online publication system is shown and described. For example, the method may be initiated when an input identifying an item is received from a user. An input type (e.g., image, text, audio recording, etc.) may be determined and one or more identification services may be selected based on the input type. At least a portion of the input is transmit to the selected one or more identification services. A product identification is received from each of the one or more identification services. Based on the received product identifications, a recommended product identification is determined. The recommended product identification is transmitted to the user.

Abstract: A method and a system to determine a product identification of an item for sale in an online publication system is shown and described. For example, the method may be initiated when an input identifying an item is received from a user. An input type (e.g., image, text, audio recording, etc.) may be determined and one or more identification services may be selected based on the input type. At least a portion of the input is transmit to the selected one or more identification services. A product identification is received from each of the one or more identification services. Based on the received product identifications, a recommended product identification is determined. The recommended product identification is transmitted to the user.

Abstract: Example methods and systems are directed to a managed inventory. A database may store information regarding items owned by a user. The information regarding an item may include a quantity owned and one or more triggering events. Based on the occurrence of a triggering event, an order for the item may be placed without user intervention. Data to the database may be provided by one or more sensors. Triggering events may be defined in terms of sensor data. The triggering event may be defined by a user or through machine learning. The order may be placed using a predetermined modality or a dynamically-determined modality based on one or more criteria, such as price, shipping speed, and the urgency of the order.

Abstract: A method and a system to determine a product identification of an item for sale in an online publication system is shown and described. For example, the method may be initiated when an input identifying an item is received from a user. An input type (e.g., image, text, audio recording, etc.) may be determined and one or more identification services may be selected based on the input type. At least a portion of the input is transmit to the selected one or more identification services. A product identification is received from each of the one or more identification services. Based on the received product identifications, a recommended product identification is determined. The recommended product identification is transmitted to the user.

Abstract: A method and a system to determine a product identification of an item for sale in an online publication system is shown and described. For example, the method may be initiated when an input identifying an item is received from a user. An input type (e.g., image, text, audio recording, etc.) may be determined and one or more identification services may be selected based on the input type. At least a portion of the input is transmit to the selected one or more identification services. A product identification is received from each of the one or more identification services. Based on the received product identifications, a recommended product identification is determined. The recommended product identification is transmitted to the user.

Abstract: A method and a system to determine a product identification of an item for sale in an online publication system is shown and described. For example, the method may be initiated when an input identifying an item is received from a user. An input type (e.g., image, text, audio recording, etc.) may be determined and one or more identification services may be selected based on the input type. At least a portion of the input is transmit to the selected one or more identification services. A product identification is received from each of the one or more identification services. Based on the received product identifications, a recommended product identification is determined. The recommended product identification is transmitted to the user.