DISPONIBILIDAD PREDICTIVA DE INVENTARIO.

    公开(公告)号:MX2019001317A

    公开(公告)日:2019-08-01

    申请号:MX2019001317

    申请日:2019-01-30

    Abstract: Un método para predecir la disponibilidad de inventario, que implica recibir un pedido de distribución que incluye una pluralidad de artículos y una ubicación de distribución, identificar un almacén para seleccionar la pluralidad de artículos. El método recupera un modelo aprendido por máquina que predice una probabilidad de que un artículo esté disponible en el almacén. El modelo aprendido por máquina se programa, utilizando el aprendizaje por máquina, con base en parte en una pluralidad de conjunto de datos. La pluralidad de conjuntos de datos incluye datos que describen artículos incluidos en pedidos de distribución anteriores, si se seleccionó cada artículo en cada pedido de distribución anterior, un almacén asociado con cada pedido de distribución anterior y una pluralidad de características asociadas con cada uno de los artículos. El método predice la probabilidad de que uno de la pluralidad de artículos en el pedido de distribución esté disponible en el almacén, y genera una distribución a un recolector basándose en la probabilidad. Se transmite una instrucción a un dispositivo móvil del recolector.

    Messaging interface for managing order changes

    公开(公告)号:AU2020378973A1

    公开(公告)日:2022-06-09

    申请号:AU2020378973

    申请日:2020-06-30

    Abstract: In a delivery service, a picker retrieves items specified in an order by a customer. If a picker encounters an issue with an item in the order, the picker may select, via a user interface, the item and an associated template message, which requests input from the customer regarding a course of action for the item, to send to the customer. The customer may select, via another user interface, a template message describing a course of action for the item. In response to receiving one of a subset of template messages, the online concierge system displays via the user interface, a set of replacement options to the customer, who may select one of the replacement options to be sent to the picker with the template message.

    Self-checkout system for bypassing in-store checkout

    公开(公告)号:AU2022203122A1

    公开(公告)日:2022-06-02

    申请号:AU2022203122

    申请日:2022-05-10

    Abstract: An online shopping concierge service allows shoppers to purchase items on behalf of customers and checkout using a mobile application, circumventing traditional point-of-sale check-out systems. A customer places an order using a mobile application or website associated with the online shopping concierge service. The online shopping concierge service charges a payment instrument of the customer in the value of the selected items. The system transmits the order to a shopper, who receives an order for fulfillment on a mobile device. The shopper collects and scans items using a mobile application. The mobile application transmits an identification of the items for purchase and their total cost to the online shopping concierge service, which transmits payment to the retailer. Alternatively, the mobile application encodes an identification of the items for purchase into an encoded image, which is scanned by a cashier, allowing the shopper to complete an accelerated check-out.

    POPULATING CATALOG DATA WITH ITEM PROPERTIES BASED ON SEGMENTATION AND CLASSIFICATION MODELS

    公开(公告)号:CA3107914C

    公开(公告)日:2022-03-22

    申请号:CA3107914

    申请日:2019-06-25

    Abstract: A method for populating an inventory catalog includes receiving an image showing an item in the inventory catalog and comprising a plurality of pixels. A machine learned segmentation neural network is retrieved to determine location of pixels in an image that are associated with an image label and the property. The method determines a subset of pixels associated with the item label in the received image and identifies locations of the subset of pixels of the received image, and extracts the subset of pixels from the received image. The method retrieves a machine learned classifier to determine whether an image shows the item label. The method determines, using the machine learned classifier, that the extracted subset of pixels shows the item label. The method updates the inventory catalog for the item to indicate that the item has the property associated with the item label.

    DETERMINING RECOMMENDED SEARCH TERMS FOR A USER OF AN ONLINE CONCIERGE SYSTEM

    公开(公告)号:CA3111139A1

    公开(公告)日:2021-09-11

    申请号:CA3111139

    申请日:2021-02-26

    Abstract: An online concierge system may determine recommended search terms for a user. The online concierge system may receive a request from a user to view a user interface configured to receive a search query. The online concierge system retrieves long-term activity data including previous search terms entered by the user while searching for items to add to an online shopping cart. For each previous search term, the online concierge system retrieves categorical search terms corresponding to one or more categories to which the previous search term was mapped. The online concierge system determines a set of nearby categorical search terms and sends, for display via a client device, the set of nearby categorical search terms as recommended search terms.

    Populating catalog data with item properties based on segmentation and classification models

    公开(公告)号:NZ773007A

    公开(公告)日:2021-04-30

    申请号:NZ77300719

    申请日:2019-06-25

    Abstract: A method for populating an inventory catalog includes receiving an image showing an item in the inventory catalog and comprising a plurality of pixels. A machine learned segmentation neural network is retrieved to determine location of pixels in an image that are associated with an image label and the property. The method determines a subset of pixels associated with the item label in the received image and identifies locations of the subset of pixels of the received image, and extracts the subset of pixels from the received image. The method retrieves a machine learned classifier to determine whether an image shows the item label. The method determines, using the machine learned classifier, that the extracted subset of pixels shows the item label. The method updates the inventory catalog for the item to indicate that the item has the property associated with the item label.

    Self-checkout system for bypassing in-store checkout

    公开(公告)号:AU2020217366A1

    公开(公告)日:2020-09-03

    申请号:AU2020217366

    申请日:2020-08-12

    Abstract: An online shopping concierge service allows shoppers to purchase items on behalf of customers and checkout using a mobile application, circumventing traditional point-of-sale check-out systems. A customer places an order using a mobile application or website associated with the online shopping concierge service. The online shopping concierge service charges a payment instrument of the customer in the value of the selected items. The system transmits the order to a shopper, who receives an order for fulfillment on a mobile device. The shopper collects and scans items using a mobile application. The mobile application transmits an identification of the items for purchase and their total cost to the online shopping concierge service, which transmits payment to the retailer. Alternatively, the mobile application encodes an identification of the items for purchase into an encoded image, which is scanned by a cashier, allowing the shopper to complete an accelerated check-out. WO 2018/048808 PCT/US2017/050114 Retailer 110a Retailer 110b Retailer 110c Shopper Shopper Mobile Application 112 Online Shopping Concierge Service1_02 Customer Mobile Application 106 Customer

    SELF-CHECKOUT SYSTEM FOR BYPASSING IN-STORE CHECKOUT

    公开(公告)号:SG11201901145XA

    公开(公告)日:2019-03-28

    申请号:SG11201901145X

    申请日:2017-09-05

    Abstract: An online shopping concierge service allows shoppers to purchase items on behalf of customers and checkout using a mobile application, circumventing traditional point-of-sale check-out systems. A customer places an order using a mobile application or website associated with the online shopping concierge service. The online shopping concierge service charges a payment instrument of the customer in the value of the selected items. The system transmits the order to a shopper, who receives an order for fulfillment on a mobile device. The shopper collects and scans items using a mobile application. The mobile application transmits an identification of the items for purchase and their total cost to the online shopping concierge service, which transmits payment to the retailer. Alternatively, the mobile application encodes an identification of the items for purchase into an encoded image, which is scanned by a cashier, allowing the shopper to complete an accelerated check-out.

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