Abstract: Systems and methods for product imaging and provisioning include a mobile application (app) installed on an imaging device, where the mobile app activates the imaging device to generate an image of a product tag associated with an unavailable product at a first location. The mobile app determines, based on the image, a product indicator associated with the unavailable product. A provisioning app, executing on a remote device, receives the product indicator associated with the unavailable product. The provisioning app also receives a user indicator associated with a first user and executes one or more product provisioning rules that determine, based on a product availability database and the user indicator, an availability result. The availability result indicates whether the unavailable product will be available to the first user. The provisioning app is further operable to send the availability result to the imaging device for presentation by the imaging device.

Abstract: Various implementations disclosed herein include devices, systems, and methods for pose estimation using one point correspondence, one line correspondence, and a directional measurement. In various implementations, a device includes a non-transitory memory and one or more processors coupled with the non-transitory memory. In some implementations, a method includes obtaining an image corresponding to a physical environment. A first correspondence between a first set of pixels in the image and a spatial point in the physical environment is determined. A second correspondence between a second set of pixels in the image and a spatial line in the physical environment is determined. Pose information is generated as a function of the first correspondence, the second correspondence, and a directional measurement.

Abstract: An embodiment includes tokenizing an input passage into an n-gram sequence of tokens. The embodiment also includes evaluating the input passage using a trained classification model that generates an output indicative of a classification of the input passage. The embodiment also includes generating a first token vector for a first token of the sequence of tokens and projecting the first token vector to a higher dimensional space, resulting in a first projected token vector. The embodiment also includes generating a first similarity score for the first projected token vector based on comparisons of the first projected token vector to each of a plurality of class representations. The embodiment also includes generating a ranked list of the tokens, wherein the generating of the ranked list includes ranking the first token among others of the tokens based on the first similarity score.

Abstract: Systems and methods for product imaging and provisioning include a mobile application (app) installed on an imaging device, where the mobile app activates the imaging device to generate an image of a product tag associated with an unavailable product at a first location. The mobile app determines, based on the image, a product indicator associated with the unavailable product. A provisioning app, executing on a remote device, receives the product indicator associated with the unavailable product. The provisioning app also receives a user indicator associated with a first user and executes one or more product provisioning rules that determine, based on a product availability database and the user indicator, an availability result. The availability result indicates whether the unavailable product will be available to the first user. The provisioning app is further operable to send the availability result to the imaging device for presentation by the imaging device.

Abstract: Systems and methods for product imaging and provisioning include a mobile application (app) installed on an imaging device, where the mobile app activates the imaging device to generate an image of a product tag associated with an unavailable product at a first location. The mobile app determines, based on the image, a product indicator associated with the unavailable product. A provisioning app, executing on a remote device, receives the product indicator associated with the unavailable product. The provisioning app also receives a user indicator associated with a first user and executes one or more product provisioning rules that determine, based on a product availability database and the user indicator, an availability result. The availability result indicates whether the unavailable product will be available to the first user. The provisioning app is further operable to send the availability result to the imaging device for presentation by the imaging device.

Abstract: Demand forecasting in which sets of first order differences are determined for collections of time series data for products. The first order differences identify how values within the collections of time series data change over time. The sets of first order differences are normalized to form sets of scaled first order differences such that a same scale is present between the scaled first order differences. Bins with dynamic ranges are determined for the scaled first order differences based on a distribution of the scaled first order differences; The scaled first order differences are placed into the bins to form sets of binned values in which binned values in the sets of binned values are based on numbers of scaled first order differences in the bins. The time series data are grouped into segments based on a correlation between the sets of binned values for the time series data.