Abstract: This disclosure describes a system for tracking removal or placement of items at inventory locations with a materials handling facility. In some instances, a user may remove an item from an inventory location and the inventory management system may detect that removal and update a user item list associated with the user to include an item identifier representative of the removed item. Likewise, if the user places an item at an inventory location, the inventory management system may detect that placement and update the user item list to remove an item identifier representative of the placed item.

Abstract: This disclosure describes a system for tracking removal or placement of items at inventory locations with a materials handling facility. In some instances, a user may remove an item from an inventory location and the inventory management system may detect that removal and update a user item list associated with the user to include an item identifier representative of the removed item. Likewise, if the user places an item at an inventory location, the inventory management system may detect that placement and update the user item list to remove an item identifier representative of the placed item.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for providing consistent processing in a machine learning system are disclosed. A real-time processing request may be received and processed by both a preferred machine learning model and a fallback machine learning model. Processing for the preferred machine learning model may include obtaining additional information. A determination may be made regarding whether the processing of the real-time request by the preferred machine learning model has completed as of an expiration of an acceptable latency period. If the preferred model has not completed as of the expiration of an acceptable latency period, the response to the real-time request may be generated from the fallback model output. If the preferred model has completed prior to or by the expiration of the acceptable latency period, the response to the request may be generated from the preferred model output.

Abstract: This disclosure describes a system for identifying users and/or their companions, utilizing the behavior and gestures of a user's companion to assist the user, and developing user paths based on user and/or companion preferences. A companion profile may be established to identify the companion and associated the companion with the user. Likewise, a user pattern that includes both the user and the companion may be established and used to track the location of the user and/or companion while in the materials handling facility.

Abstract: This disclosure describes a system for tracking removal or placement of items at inventory locations with a materials handling facility. In some instances, a user may remove an item from an inventory location and the inventory management system may detect that removal and update a user item list associated with the user to include an item identifier representative of the removed item. Likewise, if the user places an item at an inventory location, the inventory management system may detect that placement and update the user item list to remove an item identifier representative of the placed item.

Abstract: This disclosure describes a system for tracking removal or placement of items at inventory locations with a materials handling facility. In some instances, a user may remove an item from an inventory location and the inventory management system may detect that removal and update a user item list associated with the user to include an item identifier representative of the removed item. Likewise, if the user places an item at an inventory location, the inventory management system may detect that placement and update the user item list to remove an item identifier representative of the placed item.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for providing consistent processing in a machine learning system are disclosed. A real-time processing request may be received and processed by both a preferred machine learning model and a fallback machine learning model. Processing for the preferred machine learning model may include obtaining additional information. A determination may be made regarding whether the processing of the real-time request by the preferred machine learning model has completed as of an expiration of an acceptable latency period. If the preferred model has not completed as of the expiration of an acceptable latency period, the response to the real-time request may be generated from the fallback model output. If the preferred model has completed prior to or by the expiration of the acceptable latency period, the response to the request may be generated from the preferred model output.

Abstract: This disclosure describes a system for tracking removal or placement of items at inventory locations with a materials handling facility. In some instances, a user may remove an item from an inventory location and the inventory management system may detect that removal and update a user item list associated with the user to include an item identifier representative of the removed item. Likewise, if the user places an item at an inventory location, the inventory management system may detect that placement and update the user item list to remove an item identifier representative of the placed item.