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541
results.
Updated on
29/03/2026 [06:56:00]
Results 325 to 350 of 541
Absstract of: TW202534588A
A method for providing information on an electronic apparatus providing a delivery service, according to an embodiment of the present invention, comprises the steps of: identifying a target area; identifying statistical information related to delivery to the target area; identifying recent information corresponding to the current time related to the delivery to the target area; identifying a delivery supply and demand level on the basis of the statistical information and the recent information; and providing information related to the delivery supply and demand level.
Absstract of: US20260073345A1
According to an embodiment, a wireless tag communication apparatus checks an identification code of a wireless tag read by a reading device against a box list that is a list of identification codes of wireless tags attached to shipping boxes to identify a shipping box to which the wireless tag read by the reading device is attached. Further, the wireless tag communication apparatus creates a shipping list that is a list of the identification code of the wireless tag attached to the identified shipping box and identification codes of wireless tags attached to articles put in the shipping box.
Absstract of: US20260080455A1
A bulk-on-demand (BOD) platform integrates with merchant e-commerce systems to let consumers buy bulk packages but redeem individual units later. A merchant configures a BOD definition, including a bulk product identifier, permissible product variants, total and minimum redemption quantities, and variant combination rules, via a user interface. The platform subscribes to order notifications from the merchant's e-commerce backend using an authorization token, detects BOD purchases, and credits a persistent vault associated with the buyer's account. The vault stores purchased and remaining quantities with a redemption history across multiple merchants. Customers redeem units through a customer-facing application; the platform validates requested quantities and variant selections, updates the vault, generates a structured fulfillment order including shipping information, and transmits the order for fulfillment. Notifications inform customers of updated balances and available options.
Absstract of: US20260080360A1
An automation module deployed in static or mobile form around an inventory facility such as a warehouse employs multiple modes of sensors for continuously gathering inventory signals indicative of a location, type and quantity of each of the types of items stored in the inventory facility. An auditing server receives the inventory signals from each of the automation modules around the inventory facility for aggregating and coalescing the inventory signals to eliminate duplicate references and compute a discrete quantity and location of each type of item in the inventory facility. The automation modules may be adhered to a vehicle such as a forklift, installed on the weight-bearing prongs of the forklift, and/or affixed to walls or exit doorways, and each automation module may gather sensor data through video, weight, Lidar, inertial/gyroscopic, GPS (Global Positioning System) and other mediums that may aid in accurate cataloging and auditing of warehouse contents.
Absstract of: US20260080358A1
Systems and methods for automatically managing and utilizing the uniform labeling of data packages are disclosed. Specification information can describe many aspects of a data package, and can be analyzed to automatically identify various product attributes and service attributes usable to define the data package. Each of the individual product attributes and service attributes can be encoded into an alphanumeric code, which can be concatenated together to form a single uniform package identifier (UPID) usable to describe the associated data product. Systems and methods can automatically generate UPIDs, automatically find data packages based on search UPIDs, automatically process invoices based on UPIDs, and otherwise leverage the UPIDs to automate the collection, creation, selling, purchasing, trading, redistribution, and/or using of data packages.
Absstract of: US20260080357A1
An intelligent supply-chain wide tracking and analysis system is described. In some instances, the system may receive variant data describing a variant of a product from a first client system, generate a variant profile based on the variant data, and determine a connection definition specific to the variant profile and defining a connection between the first client system and a second system. The system may provide access to a first data field containing data in the client profile from the first client system to the second client system based on the connection definition. The system may also receive an inventory value for the variant from the second client system and, using the variant profile and connection definition, provide access to the inventory value to the first client system.
Absstract of: EP4708180A1
Computerized systems and methods are described for automated AI-driven customer and vendor segmentation and personalized insights delivery. The method involves collecting real-time data, including purchasing behavior and market trends, analyzing it using AI/ML algorithms for segmentation, and delivering personalized insights through a user-friendly Single Pane of Glass User Interface (SPoG UI). Transaction details are logged for ongoing enhancement. Effectiveness of segmentation is monitored and refined based on user feedback and evolving market dynamics. Multiple data sources and analytics tools are integrated for comprehensive analysis. Users can customize segmentation parameters, and delivery options include push notifications and email alerts. The system facilitates continuous optimization and adaptation, enhancing relevance and precision.
Absstract of: EP4708181A1
Computerized systems and methods are described for managing vendor-agnostic configure-to-order (CTO) and quote-to-order (QTO) processes. A Real-Time Data Mesh (RTDM) is provided for aggregating, standardizing, and normalizing real-time data from various sources. A Single Pane of Glass User Interface (SPoG UI) facilitates dynamic interaction and visibility into vendor performance. An Advanced Analytics and Machine-Learning (AAML) Module analyzes product compatibility, optimizes pricing strategies, and predicts market trends. A Vendor-Agnostic CTO/QTO Integration Module (VACIM) includes a Process Standardization Engine and a Vendor Data Transformation Gateway to ensure uniformity across vendors. Methodologies within the invention automate data processing, integrate transformation gateways for data consistency, and employ rule engines driven by machine learning for decision-making, thereby streamlining vendor processes, enhancing scalability, and optimizing pricing strategies in a scalable, adaptable framework.
Absstract of: US20260073350A1
Methods and apparatus for automated order placement and fulfillment monitoring are provided. An order is received from a Point of Sale (PoS) device. One or more items in the order are identified. Responsive to receiving a confirmation of the order, a status of each item, among the one or more items in the order, is monitored. A graphical element rendered in a display interface is updated, the graphical element displaying changes in the status of each item within the order.
Absstract of: WO2026060066A1
For each potential retail store of interest indicated by a customer in the store selection, an electronic connection is made between a computer application operated by the customer and an electronic accounting system of each retail store. The electronic accounting system is adjusted in real-time by events occurring at the retail store. Contents of the electronic accounting system are visible, accessible, and adjustable by the computer application in real time. Various other actions can occur such as displaying customer avatars and offering suggestions to customers.
Absstract of: US20260080355A1
An artificial intelligence (AI) agent is disclosed that assists an entity to complete a task. The entity is assigned to complete a task. The AI agent monitors events to detect an occurrence of an event associated with the task. A machine learning model of the AI agent is prompted to generate a set of candidate actions based in part on the detected event and data about the entity. A reinforcement learning model of the AI agent scores each candidate action from the set to tailor the candidate actions to the entity. A scored action is selected as a recommended response to the event and is communicated to a client device of the entity which causes the entity to perform the selected action.
Absstract of: US20260080340A1
Embodiments of the disclosure provide systems and methods for monitoring of manufacturing processes and tracking of production byproducts. Monitoring of manufacturing processes and tracking of production by-products can comprise reading a Bill of Materials (BOM) for a product. A component cost value for a by-product can be assigned for each component of the plurality of components in the BOM for the product. A process cost value for the by-product can be calculated for each manufacturing process of a plurality of manufacturing processes to produce the product using the plurality of components. The component cost value for the by-product for each component and the process cost value for the by-product for each manufacturing process can be accumulated into a total by-product cost value for the product. The total by-product cost value for the product can be provided.
Absstract of: US20260080687A1
An integrated artificial intelligence camera system provides multi-domain monitoring and enterprise automation from a single hardware endpoint. A camera assembly and auxiliary sensors, including at least one of depth, thermal, audio and environmental sensors, feed an edge compute module executing modular perception, identity, physiological estimation and domain-logic pipelines. The system detects and tracks persons, objects and activities; generates pseudonymous identity tokens for enrolled workers; estimates breathing rate and related wellness indicators from non-contact visual and thermal signals; and transforms these outputs into normalized event records annotated with security, inventory, workforce, payroll, physiological and compliance labels. A unified event model standardizes timestamps, device identifiers, site and zone identifiers, actor identifiers, metrics, confidence scores, policy tags and evidence references, enabling direct integration with payroll, inventory management, security incident and analytics platforms. A policy engine governs feature activation, anonymization and retention per jurisdiction and user role.
Absstract of: US20260080425A1
Aspects of the present disclosure relate to a demand forecasting system. The demand forecasting system may include components for developing forecasting models, generating demand forecasts, and handling outputs of demand forecasting models. In some embodiments, the demand forecasting system may include a model training system and one or more components that can be used by the model training system to improve model performance.
Absstract of: US20260080422A1
Aspects of the present disclosure relate to a demand forecasting system. The demand forecasting system may include components for developing forecasting models, generating demand forecasts, and handling outputs of demand forecasting models. In some embodiments, the demand forecasting system may include a model training system and one or more components that can be used by the model training system to improve model performance.
Absstract of: WO2026060047A1
An example computer-implemented method for temporal data analysis and forecasting utilizes topological hierarchical decompositions to process historical and future time windows. The method receives sales data and purchase data for at least one item and generates multiple sets of historical time subsets with varying lengths, where information in shorter subsets is duplicated in longer ones. Future time windows are also generated in a similar manner. Future time windows are chronologically after a given initial time. The method creates past and future topological hierarchical decompositions and directed graph adjacency arrays. Customer attention matrices are generated for past and future windows, and matrix multiplications are performed to create self-attention arrays. These arrays are then multiplied together. The method culminates in providing a dashboard for forecasting after an initial time point, enabling comprehensive temporal data analysis and prediction.
Absstract of: WO2026058258A1
A shopping cart system is disclosed which integrates multiple technologies for enhanced inventory management and theft detection. The system includes a barcode scanner, camera computer-vision system for real-time product recognition, a security scale to detect weight discrepancies, and an anomaly detection module for monitoring shopper behavior and identifying theft-related patterns. These components collectively improve inventory accuracy and security within retail environments.
Absstract of: WO2026055764A1
Systems and methods for designing clean energy systems are disclosed that optimize a design of a clean energy system. A computer-implemented method of designing a clean energy system comprises receiving, from a user device, design parameters for the clean energy system, the design parameters including project information and an objective function to optimize a design of the clean energy system; determining available equipment from one or more equipment providers; determining an optimal system configuration and an optimal equipment selection for the clean energy system by iterating combinations of the available equipment and system configurations and calculating the objective function for each combination of equipment and system configuration; and outputting the design of the clean energy system comprising the optimal system configuration and the optimal equipment selection for display in a user interface of the user device.
Absstract of: US20260080426A1
Aspects of the present disclosure relate to a demand forecasting system. The demand forecasting system may include components for developing forecasting models, generating demand forecasts, and handling outputs of demand forecasting models. In some embodiments, the demand forecasting system may include a model training system and one or more components that can be used by the model training system to improve model performance.
Absstract of: US20260081008A1
An inventory management system includes a wearable cardiac device comprising an associated plurality of separate wearable cardiac device components stored as inventory at a first inventory location; a plurality of communication interface circuits associated with a corresponding one of the plurality of separate wearable cardiac device components and configured to facilitate transmission of inventory information through a network; at least one server device disposed at a central location and comprising a processor; and a memory comprising instructions that cause the processor to receive the inventory information from the plurality of communication interface circuits; receive a prescription for a patient; retrieve one or more prescription parameters based on the prescription; locate, in the inventory information, the wearable cardiac device based on the prescription parameters; determine a deployment status of the wearable cardiac device; and select the wearable cardiac device for the patient.
Absstract of: AU2026201478A1
Systems and methods for interlining checked bags between two unaffiliated airlines. The traveler may purchase the interlining service and be assured that the checked bags associated with that service will be automatically transferred from their first flight to their next flight. The traveler does not have to collect the checked bag, and then re-check it onto the second flight, which may allow a traveler to stay with in the security zone of the airport, where permitted by airport flow. eb e b
Absstract of: AU2025201913A1
Certain aspects of the disclosure provide a method of training a neural database for entity matching. In examples, a method may include: extracting, from an electronic data repository, entity data related to a first entity that provides a good or a service; transforming the entity data into structured entity data configured to be processed by a machine learning model; processing the structured entity data with the machine learning model to generate metadata associated with the structured entity data; augmenting the structured entity data with the metadata associated with the structured entity data; and training the neural database based on the augmented structured entity data to predict one or more second entities that supply materials for the first entity and associated with the good or the service. Certain aspects of the disclosure provide a method of training a neural database for entity matching. In examples, a method may include: extracting, from an electronic data repository, entity data related to a first entity that provides a good or a service; transforming the entity data into structured entity data configured to be processed by a machine learning model; processing the structured entity data with the machine learning model to generate metadata associated with the structured entity data; augmenting the structured entity data with the metadata associated with the structured entity data; and training the neural database based on the augmented structured entity data to
Absstract of: AU2025223769A1
SYSTEM AND METHOD FOR FACILITATING BUYING AND/OR RENTAL OF ONE OR MORE VEHICLES FOR RECREATIONAL PURPOSES Abstract The present invention provides a system for facilitating buying and/or rental of one or more vehicles for recreational purposes. The system comprising one or more handheld devices associated with the one or more vehicles, a plurality of sensors operatively connected to the one or more vehicles, a user module integrated with each of the one or more handheld devices, a management module configured to monitor the one or more vehicles, manage battery status, track real-time locations, and interact with the user module, a dynamic pricing module configured to adjust fees based on predetermined factors and a communication module configured to enable communication between the handheld devices, sensors, user module, management module, and dynamic pricing module. Further, a method for facilitating buying and/or rental of one or more vehicles for recreational purposes is provided. Fig. 1 SYSTEM AND METHOD FOR FACILITATING BUYING AND/OR RENTAL OF ONE OR MORE VEHICLES FOR RECREATIONAL PURPOSES Abstract The present invention provides a system for facilitating buying and/or rental of one or more vehicles for recreational purposes. The system comprising one or more handheld devices associated with the one or more vehicles, a plurality of sensors operatively connected to the one or more vehicles, a user module integrated with each of the one or more handheld devices, a management
Absstract of: AU2024331471A1
Embodiments of the invention relate to a system and method for monitoring a plurality of animals, such as farm animals. The system comprises a plurality of monitoring devices, a plurality of gateway devices, and remote computing device. The system is configured such that when the plurality of gateway devices are positioned at or in close proximity of the points of interests and the plurality of monitoring devices are attached to respective animals, data is automatically and continuously communicated from the monitoring devices to be received by one or more of the plurality of gateway devices that are within range of the first communication technology, and from the plurality of gateway devices to the remote computing device; and wherein the remote computing device is configured to analyse the received data to identify an animal of interest.
Nº publicación: AU2024219539A1 19/03/2026
Applicant:
KERPOWER UK LTD
Kerpower UK Ltd
Absstract of: AU2024219539A1
Systems, apparatuses, methods, and computer program products are disclosed for autonomously deriving consumption of fuel. An example method includes receiving a transaction request and determining a fuel pump location associated with a fuel pump identifier. The example method further includes determining a current price of a fuel type at the fuel pump terminal based on the fuel pump location and deriving a total fuel redemption volume based on the current price of the fuel type. The example method further includes updating a fuel availability data structure associated with a user account. Systems, apparatuses, methods, and computer program products are disclosed for autonomously deriving consumption of fuel. An example method includes receiving a transaction request and determining a fuel pump location associated with a fuel pump identifier. The example method further includes determining a current price of a fuel type at the fuel pump terminal based on the fuel pump location and deriving a total fuel redemption volume based on the current price of the fuel type. The example method further includes updating a fuel availability data structure associated with a user account.20 ep e p Example Implementation of 406 Receive a user device location from a user device To User device location sufficiently proximate commodity terminal location? Transmit confirmation request to user device From 404 Confirmation response verifies authenticity of transaction request? Decline transaction r
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