Abstract: Methods, systems, and platforms for managing machine learning models are described. A model registry system receives first data including a model and second data including metadata and at least one metric of the model. Via a local network, the first data is stored to a data storage device and the second data is sent to an application programming interface (API). The first data is retrieved from the data storage device to a model use case program operating in a software development environment native to where the model registry system stores the model. The second data, including the metadata and the at least one metric of the model, is sent to a user interface (UI) via the API. The stored model can be deployed from the model use case program via the API.

Abstract: Disclosed herein are systems and methods for determining whether an unknown product matches a scanned barcode during a checkout process. An edge computing device or other computer system can receive, from an overhead camera at a checkout lane, image data of an unknown product that is placed on a flatbed scanning area, identify candidate product identifications for the unknown product based on applying a classification model and/or product identification models to the image data, and determine based on the candidate product identifications, whether the unknown product matches a product associated with a barcode that is scanned at a POS terminal in the checkout lane. The classification model can be used to determine n-dimensional space feature values for the unknown product and determine which product the unknown product likely matches. The product identification models can be used to determine whether the unknown product is one of the products that are modeled.

Abstract: Disclosed herein are systems and methods for determining whether an unknown product matches a scanned barcode during a checkout process. An edge computing device or other computer system can receive, from an overhead camera at a checkout lane, image data of an unknown product that is placed on a flatbed scanning area, identify candidate product identifications for the unknown product based on applying a classification model and/or product identification models to the image data, and determine based on the candidate product identifications, whether the unknown product matches a product associated with a barcode that is scanned at a POS terminal in the checkout lane. The classification model can be used to determine n-dimensional space feature values for the unknown product and determine which product the unknown product likely matches. The product identification models can be used to determine whether the unknown product is one of the products that are modeled.

Abstract: The disclosed system and method relate to automatically detecting empty spaces on retail store shelves, identifying the missing product(s) and causing the space to be replenished or restocked. For example, stores may use shelf-mounted imaging devices to capture images of shelves across the aisle from the imaging devices. The images captured by the imaging devices may be pre-processed to de-warp, de-skew images and stitch together multiple images in order to retrieve an image that captures a full width of a shelf. The pre-processed images can then be used to detect products on the shelf, identify the detected products. For example, the captured image may be compared against a reference background image using a background modeling algorithm to identify empty spaces and mis-shelved items within the shelf.

Abstract: The disclosed system and method relate to automatically detecting empty spaces on retail store shelves, identifying the missing product(s) and causing the space to be replenished or restocked. For example, stores may use shelf-mounted imaging devices to capture images of shelves across the aisle from the imaging devices. The images captured by the imaging devices may be pre-processed to de-warp, de-skew images and stitch together multiple images in order to retrieve an image that captures a full width of a shelf. The pre-processed images can then be used to detect products on the shelf, identify the detected products. An iterative projection algorithm or product fingerprint matching algorithm can be used to identify the products. When an incorrect product listing or an empty shelf space is encountered, a message may be sent to the store employee to remedy the issue.

Abstract: An automated chat conversation platform and method of operation are described. The automated chat conversation platform includes extensible chat interfaces useable for chat session communication with a plurality of third party communication tools, and is designed to be automatically scalable according to a number of chat sessions in existence concurrently. The automated chat conversation platform identifies chat sessions in which user intervention may be important, and allows for selective intervention by user agents.

Abstract: An automated chat conversation platform and method of operation are described. The automated chat conversation platform includes extensible chat interfaces useable for chat session communication with a plurality of third party communication tools, and is designed to be automatically scalable according to a number of chat sessions in existence concurrently. The automated chat conversation platform identifies chat sessions in which user intervention may be important, and allows for selective intervention by user agents.

Abstract: Disclosed herein are systems and methods for determining whether an unknown product matches a scanned barcode during a checkout process. An edge computing device or other computer system can receive, from an overhead camera at a checkout lane, image data of an unknown product that is placed on a flatbed scanning area, identify candidate product identifications for the unknown product based on applying a classification model and/or product identification models to the image data, and determine based on the candidate product identifications, whether the unknown product matches a product associated with a barcode that is scanned at a POS terminal in the checkout lane. The classification model can be used to determine n-dimensional space feature values for the unknown product and determine which product the unknown product likely matches. The product identification models can be used to determine whether the unknown product is one of the products that are modeled.

Abstract: A process automation platform and method for automating business processes are disclosed. The method can include defining a business process in metadata, and, based on that metadata, selecting microbots to perform micro-operations included in the business process. An event engine initiates execution of the business process using the microbots and manages data dependencies of the microbots within the process. Each of the plurality of microbots includes microbot metadata defining a micro-operation performed by the microbot, and execution of each of the plurality of microbots is initiated independently of the others of the plurality of microbots.

Abstract: An automated chat conversation platform and method of operation are described. The automated chat conversation platform includes extensible chat interfaces useable for chat session communication with a plurality of third party communication tools, and is designed to be automatically scalable according to a number of chat sessions in existence concurrently. The automated chat conversation platform identifies chat sessions in which user intervention may be important, and allows for selective intervention by user agents.

Abstract: A process automation platform and method for automating business processes are disclosed. The method can include defining a business process in metadata, and, based on that metadata, selecting microbots to perform micro-operations included in the business process. An event engine initiates execution of the business process using the microbots and manages data dependencies of the microbots within the process. Each of the plurality of microbots includes microbot metadata defining a micro-operation performed by the microbot, and execution of each of the plurality of microbots is initiated independently of the others of the plurality of microbots.

Abstract: A process automation platform and method for automating business processes are disclosed. The method can include defining a business process in metadata, and, based on that metadata, selecting microbots to perform micro-operations included in the business process. An event engine initiates execution of the business process using the microbots and manages data dependencies of the microbots within the process. Each of the plurality of microbots includes microbot metadata defining a micro-operation performed by the microbot, and execution of each of the plurality of microbots is initiated independently of the others of the plurality of microbots.