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435
resultados
Última actualización
20/09/2024 [06:58:00]
Resumen de: US2024311757A1
Methods and means for evaluating and summarizing physical quality metrics associated with stretch films and other plastics are provided. According to one aspect of the invention, a processor- or computer-enabled business method such as a software program or mobile application capable of calculating and comparing stretch film data and conveying easily understood summaries of film characteristics and cost impacts associated therewith is provided. According to a second aspect, the system and method provides a vast plurality of film performance metrics, costs factor, environmental impacts, and so, calculated and presented in a dashboard-type user interface.
Resumen de: DE102024107179A1
Ein Verfahren zum Bestimmen einer räumlichen Verfügbarkeit für ein Abteil eines Fahrzeugs beinhaltet Generieren einer ersten Punktwolke, die das Abteil des Fahrzeugs darstellt, über mindestens einen Laufzeitsensor, wobei die erste Punktwolke dreidimensionale Positionsinformationen des Abteils beinhaltet. Das Verfahren beinhaltet ferner Berechnen räumlicher Informationen, die einer Zielkonfiguration für das Abteil entsprechen, über eine Verarbeitungsschaltung in Kommunikation mit dem mindestens einen Laufzeitsensor. Das Verfahren beinhaltet ferner Vergleichen der räumlichen Informationen mit der ersten Punktwolke über die Verarbeitungsschaltung. Das Verfahren beinhaltet ferner Bestimmen einer Verfügbarkeit der Zielkonfiguration auf Grundlage des Vergleichs der räumlichen Informationen mit der ersten Punktwolke.
Resumen de: US2024311755A1
A method of managing inventory comprising generating a list of inventory items, identifying removal of one of the inventory items from inventory, updating the list of inventory items as inventory items are removed, predicting a future rate of removal of inventory items, and developing purchasing plan for inventory items based on predicted rate of removal.
Resumen de: US2024311752A1
A network connected system for inventory management is disclosed including an intermediary module, including providing sales and inventory management functions for intermediaries such as wholesalers and retailers and an end-user module, including providing sales to end-users using an end-user identifier which is associated with a wholesaler or retailer.
Resumen de: US2024311719A1
Generation of an available to promise (ATP) value. A method identifies business constraints and goals for an omnichannel retailer based on input quantitative and qualitative data. The method determines numerical parameters for use in an executable optimization model and using a machine learning model. Additionally, the method builds the executable optimization model using at least one of the goals as a respective at least one objective in the optimization model, at least one of the constraints as a respective at least one constraint in the optimization model, and at least one of the numerical parameters as at least one additional parameter in the executable optimization model. In addition, the method executes the executable optimization model and generates an ATP value, and outputs the ATP value to an e-commerce system.
Resumen de: US2024311754A1
Various embodiments improve existing technologies by generating one or more user interface elements based at least in part on consumer demand of an item in various geographical regions. Such consumer demand can be computed in response to receiving an indication that a user needs to place an item in an inventory center. Some embodiments can use one or more machine learning models or other statistical models to predict consumer demand to select the particular inventory center. Some embodiments can additionally or alternatively rank each inventory center or recommend an inventory center based on the consumer demand and/or other factors, such as cost. All of this functionality not only improves upon the functionality of existing technologies, but improves the user experience and computing resource consumption relative to other technologies.
Resumen de: US2024311756A1
Systems and methods for providing warehousing services that utilize a machine learning model are provided. The system trains a machine learning model with training data comprising item attributes and transaction locations extracted from past transactions for each item category to identify a plurality of transaction zones where each item category has a highest probability for selling. Subsequently, the system receives a warehouse request to warehouse inventory in a remote location. At least one transaction zone is determined based on item attributes of the inventory by applying the trained machine learning model. Based on the determined at least one transaction zone, the system determines one or more warehouse spaces that satisfy a spacing requirement for the inventory and causes presentation of the warehouse recommendation. The warehouse recommendation can indicate the one or more warehouse spaces.
Resumen de: US2024311741A1
Digital notification servers, methods, and non-transitory computer-readable media. In one embodiment, a server including a communication interface, a memory, and an electronic processor. The electronic processor is configured to receive supplier information and a plurality of digital notifications from the supplier interface device, each of the plurality of digital notifications linked to one or more remuneration vehicles of a plurality of remuneration vehicles and the supplier information, store the supplier information and the plurality of digital notifications in the memory, receive a request for the plurality of digital notifications from the third-party server, the request including the supplier information, and output the plurality of digital notifications to the third-party server, wherein the plurality of digital notifications notify a user of the third-party server of a difference between the plurality of remuneration vehicles and other remuneration vehicles.
Resumen de: US2024311359A1
A method and system for populating multi-layer technology product catalogs are provided. The method includes scanning an environment executing a software project to collect hints on technology products required for the execution of the software project; mapping the collected hints to identifiers of technology products to identify technology products required for the execution of the software project; analyzing each of the identified technology products to determine a set of descriptors identifying certain attributes of a technology product; classifying each of the identified technology products to at least one technology layer, wherein a technology layer represents the functionality of a technology product; populating a technology product catalog to including a plurality of entries, wherein each entry is associated with a single technology product and marinates the set of descriptors and the least one technology layer associated with the technology product; and saving the populated technology product catalog in a database.
Resumen de: US2024314026A1
Techniques are disclosed for building a region at a prefab factory. A manager service can receive a build request. The manager service can generate, based on the build request, a physical build request for building physical resources within the prefab factory. The manager service can receive an indication that the physical resources corresponding to the physical build request have been built. In response, the manager service can implement a virtual bootstrap environment at a second data center communicatively connected to the prefab factory. The manager service can deploy software resources to the physical resources using the virtual bootstrap environment. The manager service can configure the physical resources for transmitting to a destination site by at least generating an inventory of the physical resources and generating a network configuration corresponding to a network topology of the physical resources in the prefab factory.
Resumen de: US2024314384A1
Embodiments of the present disclosure provide systems, methods, and devices for utilizing an application to alert a user to detected changes to inventory data. Example embodiments relate to a predictive model and development of a predictive model using machine learning techniques. Example embodiments of systems and methods may utilize web-based applications and plug-ins, extensions, or add-ons thereof for facilitating communication and presenting dynamic information to a user.
Resumen de: US2024310820A1
A mobile autonomous manufacturing system including an autonomously mobile main device (10) performing a manufacturing task, a first auxiliary device (11) adapted to autonomously supply energy to the main device (10), a second auxiliary device (12), adapted to autonomously supply manufacturing items to the main device (10). A method for operating such a mobile autonomous manufacturing system, in which the auxiliary devices (11,12) move autonomously to and from the main device (10) and synchronously with the main device (10) when supplying the main device (10).
Resumen de: US2024312190A1
In apparel search context, process of finding a similar item out of thousands of other items is a cumbersome and computationally heavy process. In order to build a deep learning model that can perform the similarity search, hundreds of training images per Stock Keeping Unit (SKU) are required. Due to shortage of training data, this approach fails to generate a deep learning model that can perform the similarity search in intended manner. The existing approaches may also require domain experts to perform classification of apparels, so as to generate the training data. The method and system disclosed herein provide an approach in which positive images and negative images are generated from each query image, which in turn are used for generating a training data. The training data is then used to generate a deep learning model, which is used to perform the similarity search.
Resumen de: US2024311743A1
A method for identifying an event during a supply chain process that includes preparing a product during the supply chain process, determining an occurrence of the event during preparation of the product during the supply chain process, and identifying a modification to the supply chain process to inhibit occurrences of the event during subsequent preparations of the product in the supply chain process. The event causing a change of the product.
Resumen de: US2024311711A1
The invention relates to a system for providing access information to a service provider for a property comprising of an apartment or condo association and for a specific apartment within the apartment or condo association. The system utilizes a software system to schedule the access for the service provider and automated lock management access control to control the access to the property and the specific apartment.
Resumen de: US2024311710A1
According to the embodiments illustrated herein, a method is disclosed. The method comprises receiving, by a computing device comprising a processor, an input from an operator device, wherein the input facilitates determining a task to be performed. Further, the method comprises activating, by the computing device, a first light device associated with a first location in a workplace in response to receiving the input, wherein the first location is associated with the task to be performed. Furthermore, the method comprises receiving, by the computing device, a first voice input from the operator device, indicative of an exception encountered during execution of the task. Additionally, the method includes modifying the task, in response to determining that the first voice input is indicative of the exception encountered during execution of the task.
Resumen de: US2024311397A1
An online system leverages stored interactions with items made by users after the online system received queries to determine display of items satisfying the query. For example, the online system trains a model to predict a likelihood of a user performing an interaction with an item displayed after a query was received. As different items receive different amounts of interaction from users, limited historical interaction with certain items may limit accuracy of the model. The online system generates embeddings for previously received queries and uses measures of similarity between embeddings for queries to generate clusters of queries. Previous interactions with queries in a cluster are combined, with the combined data being used for determining display of items in response to a query.
Resumen de: US2024311933A1
A quotation system 100, that receives shape data D1 of an article from a client terminal 40 of a user and provides quotation information of the article, has: a data acquisition section 22A that acquires the shape data of the article including a hole element; a detection section 22B that detects surface information of the hole element among pieces of information assigned to the shape data; an attribute setting section 22C that sets a hole attribute corresponding to the detected surface information to the hole element with reference to association information D2 in which surface information able to be assigned to the shape data and the hole attribute indicating an attribute of the hole element are associated for each user; and a quotation section 22D that creates the quotation information based on the set hole attribute and the shape data.
Resumen de: US2024311870A1
A method is provided that includes receiving, in a server, a request from a service provider, the request including a consumer identification code associated with a consumer, and obtaining a personalized list of universal product codes based on the consumer identification code and a purchase history log in a database. The method also includes providing the personalized list of universal product codes to the service provider, and receiving a tracking pixel indicative that the consumer has interacted with a consumer payload, wherein the consumer payload is associated with at least one product from the personalized list of universal product codes. A system and a non-transitory, computer-readable medium storing instructions which cause the system to perform the above method are also disclosed.
Resumen de: US2024311853A1
Mechanisms are provided for bulk product processing. Product data and customer data are obtained which specify characteristics of products and customer choice characteristics. A knowledge corpus is created based on a historical learning analysis of the product data and customer data, where the knowledge corpus comprises data specifying customer buying patterns, patterns in growing or waning customer interest in products, and patterns in customer choice of products for purchase. An artificial intelligence (AI) computer pipeline executes an AI computer model on the knowledge corpus to predict, for a customer segment of the customer data, a product that customers will purchase in bulk. A bulk product recommendation is generated based on results of executing the AI computer model and output to a product provider computing system.
Resumen de: US2024311840A1
An online concierge system determines whether a user's appeasement request is fraudulent. The online concierge system compares the user's appeasement request rate to the appeasement request rates of similar users in a user segment identified with a user segmentation model. The online concierge system computes an appeasement model that represents the appeasement request rates of the users in the user segment. The online concierge system computes an outlier score for the user based on the appeasement model. The online concierge system compares the outlier score to a threshold. If the outlier score exceeds the threshold, the online concierge system may determine that the appeasement request is not likely fraudulent and thus applies an appeasement action to the user. If the outlier score does not exceed the threshold, the online concierge system may determine that the appeasement request is likely fraudulent and thus applies a security action to the user.
Resumen de: US2024311758A1
Supply management systems including a load cell and a computer. The load cell is configured to detect a current weight of a supply item supported on the load cell. The computer is in data communication with the load cell and with multiple suppliers of the supply item. The computer is configured to receive reorder parameter data defining reorder parameters for the supply item, receive current supplier data for the supply item from the multiple suppliers, dynamically compare the current weight of the supply item from the load cell with a reorder threshold weight value, and automatically select a selected supplier of the supply item from the multiple suppliers based on a comparison of the reorder parameter data with the current supplier data when the current weight is less than or equal to the reorder threshold weight value.
Resumen de: US2024220926A1
Systems and methods for training and using deep learning artificial neural networks are provided. According to certain aspects, a deep learning artificial neural network is initially trained using a training dataset, and is used to analyze shipping data and order data associated with a shipping agreement and output a probability that the shipping agreement will be successfully fulfilled. The deep learning artificial neural network is updated with information indicating the order data associated with the shipping agreement and the probability that the shipping agreement will be successfully fulfilled.
Resumen de: WO2023086914A1
The present disclosure provides a new and innovative system, methods, and apparatuses for group travel resource contracting. The system, methods, and apparatuses provide an online framework that enables tour operators to quickly determine which travel resources have availably based on their specified criteria, including criteria that relates to a number of people in a tour group. The system, methods, and apparatuses also provide for the automatic generation of a contract based on specified contract term parameters, selected dates, and corresponding pricing for a selected travel resource. Together, the ease of viewing travel resource availability and the automatic contract generation reduces the manual time spent by group travel agencies from days or weeks to only a few minutes to reserve group travel.
Nº publicación: EP4429978A1 18/09/2024
Solicitante:
DEMATIC CORP [US]
Dematic Corp
Resumen de: WO2023079541A1
A system and method are provided for auditing the inventory within an automated warehouse utilizing RFID technology. The system and method enable real-time tracking and monitoring of inventory and load units as they travel through and are stored in the warehouse. The system may require only a single RFID reader coupled with an automated shuttle for traversing a majority of the warehouse storage system to read, recognize, and audit the inventory as stored in load units stored in the system. The system may utilize multiple RFID readers throughout the warehouse to provide ample coverage, enabling real-time, whole warehouse inventory tracking. The system and method of the present invention contemplate both readily available RFID technologies, as well as advanced or improved RFID technologies having greater detection range, larger information storage capabilities, and the ability to determine precise spatial location of tags relative a reader.
BOPI
Sede Electrónica
