If you want to distinguish your goods, services or both from those of another company, you may need a trademark or trade name. Find out what they are, what their registration procedure is and what it involves.
Information on the deadlines for filing applications for transformation of European Union trademarks into Spanish national trademarks. See more
If you have a new device, product or procedure that solves a technical problem or has a practical advantage, there are different ways to protect it in Spain and other countries. Find out how.
Does your innovation lie in the aesthetics, ornamentation or appearance of your product? Protect it through industrial design. Find out what rights registration confers and how to proceed.
Geographical indications protect the name of a product that has a specific geographical origin and owes its qualities, characteristics or reputation to its particular origin. Find out what they are, how the registration process works and what benefits they provide.
Patents published worldwide are a valuable source of scientific, technical and commercial information.
El Bono 3 del Fondo para PYMEs 2025, que cubre la elaboración de Informes Tecnológicos de Patentes (ITP) y Búsquedas Retrospectivas se cerrará el lunes 10 de febrero de 2025 al cierre de la jornada laboral. Próximamente se informará sobre su reapertura. Puede consultar más información aquí.
If you are an entrepreneur or a company and you want to boost and improve the profitability of your business by adequately protecting the intangible assets of your organisation, in this space you will find what you need.
541
results.
Updated on
29/03/2026 [06:56:00]
Results 125 to 150 of 541
Absstract of: US20260087534A1
An online system generates subsequent orders for users following failed attempts to purchase items. The online system receives a request to fulfill an order from a user device. The online system determines that an item from the order is unable to be fulfilled and generates a failed fulfillment signal for the item associated with the user. At a later time, the online system automatically generates a set of items for a subsequent order for the user, the set of items including at least one item substantially similar to the item that was unable to be fulfilled and predicted by a machine-learned model to be available. The online system transmits a notification to the user that the set of items is available for fulfillment.
Absstract of: US20260087450A1
In a server device, an intermittent appender intermittently appends to a report file for a store, at predetermined time intervals, log information of a record newly generated or updated in a database. Upon receiving a request for download of the report file from a store terminal, a supplementary appender appends to the report file the log information after the previous appending by the intermittent appender. Upon start of appending by the supplementary appender, a provider causes the intermittent appender to hold appending, and upon completion of the appending by the supplementary appender, provides the store terminal with the report file. Upon completion of providing the report file by the provider, a resumer initializes the report file, and then cancels holding of the intermittent appender to cause the intermittent appender to resume the appending.
Absstract of: US20260087446A1
This specification generally discloses technology for optimizing the loading of pallets on trucks and other sorts of vehicles. A pallet loading technique includes receiving pallet information for a shipment, the pallet information describing pallets to be included in the shipment, receiving vehicle constraint information for a vehicle, the vehicle constraint information describing rules for loading pallets on the vehicle, and determining candidate solutions for loading the pallets on the vehicle, each candidate solution (i) satisfying the rules for loading pallets on the vehicle, and (ii) defining, for each pallet to be included in the shipment, a respective position and orientation of the pallet on the vehicle. At least some of the candidate solutions are evaluated, one of the candidate solutions is selected, and the vehicle is loaded according to the selected candidate solution.
Absstract of: US20260087445A1
Techniques for determining an estimated time of arrival at a pickup location are discussed herein. For example, techniques may include receiving first location data from a user computing device approaching a pickup location, receiving data indicating when the device entered a virtual boundary associated with the pickup location, determining a location of the device when it was a particular time period away from entering the virtual boundary, associating the location with a discretized location of a map, applying a blurring function to generate a probability field indicating probability of entering the virtual boundary within the time period, using the probability field to determine probability of arriving at the pickup location within the particular time period, and triggering an action based on the probability meeting a threshold.
Absstract of: US20260087447A1
The present invention provides a system and method for multi AI agent driven data processing in enterprise application developed by codeless platform. The invention includes one or more AI agents configured for processing one or more input received on conversational assistant interface. The invention includes triggering contextual processing of received input by orchestration agent interacting with multi-AI agents for executing a task identified from the received input.
Absstract of: US20260087306A1
A system and method are provided for dynamically updating a digital menu using deep-learning-based preparation-time prediction. A first deep learning neural network generates item-level embeddings for menu items based on historical preparation time records. Actual and estimated item-level preparation time vectors are generated using cosine-similarity weighting across subsets of the historical data. A second deep learning neural network is trained using the item-level vectors, ground-truth preparation times, and normalized non-categorical metadata processed through dense vector layers and concatenation. The trained network is executed to generate predicted item-level preparation times for menu items currently available for ordering. An updated digital menu including the predicted item-level preparation times is generated and transmitted to a client device, and the digital menu is automatically updated in real time on the client device in response to changes in the predicted preparation times.
Absstract of: AU2025226868A1
- 1 - 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. 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 compatibili
Absstract of: AU2025230708A1
A wearable device has a body with one or more connectors for coupling the body to a lanyard. A camera assembly is mounted on the body. The camera assembly includes a pair of cameras configured to capture images of an environment surrounding the wearable device. The wearable device also includes a network adapter to transmit data derived from the captured images to a processing system. ep w e a r a b l e d e v i c e h a s a b o d y w i t h o n e o r m o r e c o n n e c t o r s f o r c o u p l i n g t h e b o d y t o a e p l a n y a r d c a m e r a a s s e m b l y i s m o u n t e d o n t h e b o d y h e c a m e r a a s s e m b l y i n c l u d e s a p a i r o f c a m e r a s c o n f i g u r e d t o c a p t u r e i m a g e s o f a n e n v i r o n m e n t s u r r o u n d i n g t h e w e a r a b l e d e v i c e h e w e a r a b l e d e v i c e a l s o i n c l u d e s a n e t w o r k a d a p t e r t o t r a n s m i t d a t a d e r i v e d f r o m t h e c a p t u r e d i m a g e s t o a p r o c e s s i n g s y s t e m Local Network Wearable Device Wearable Device Base Station Wearable Device Wide Area Network Server Charging Dock Server Wide Area Network Base Station Charging Dock Local Network Wearable Wearable Device Device 110A Wearable 110N Device ep e p e r v e r i d e r e a a s e t a t i o n e a r a b l e e a r a b l e e a r a b l e
Absstract of: AU2024342243A1
The present disclosure provides a system and a method for controlling a fleet of Unmanned Aerial Vehicles (UAVs) to perform a mission. The method comprises receiving request data for the mission, obtaining assignments corresponding to one or more UAVs of the fleet of UAVs, and obtaining assignment data corresponding to each assignment. The method further comprises determining an assignment for the one or more UAVs by performing a first stage of a multi-stage optimization subject to a first set of constraints and updating the first list of assignments by adding the determined assignment to the first list of assignments. The method further comprises determining a second list of assignments for the one or more UAVs by performing a second stage of the multi-stage optimization subject to a second set of constraints and controlling the one or more UAVs based on the second list of assignments.
Absstract of: DE102025138278A1
Ziel der Erfindung ist es, ein System zur Erhöhung der Auslastung von Transportfahrzeugen (10) zu schaffen. Dies wird erreicht über ein Verfahren (100) zur Bestimmung einer Zuladungskapazität, ein entsprechendes Computerprogrammprodukt und ein Transportfahrzeug (10), welches zur Durchführung des Verfahrens (100) eingerichtet ist. Im Rahmen des Verfahrens (100) zur Bestimmung der Zuladungskapazität wird eine effektive Zuladungskapazität bestimmt, welche sowohl die massenbezogene als auch die volumenbezogene Auslastung berücksichtigt. Die volumenbezogene Auslastung wird dabei mittels zumindest eines ToF-Sensors (16) ermittelt, während die massebezogene Auslastung auf der Basis von OBD-Daten und einer zuvor abgeleiteten Korrelation bestimmt wird. Bei einer Weiterbildung des Verfahrens (100) werden die gewonnen Daten zur Generierung von Vorhersagen bezüglich Routen und Zeiten mit freien Zuladungskapazitäten genutzt. Die Vorhersagen können wiederum zur vorteilhaften Gestaltung transportlogistischer Prozesse einer Vielzahl von Anwendern zugutekommen.
Absstract of: DE102024138162A1
Die vorliegende Erfindung stellt ein System (100) und ein Verfahren (300) zur Aktualisierung eines oder mehrerer Reparaturvorgänge von einer oder mehreren Fahrzeugkomponenten bereit. Das System (100) extrahiert Stücklisten- (BOM-) Daten, die einer Vielzahl von Fahrzeugkomponenten zugeordnet sind, aus einer Stücklisten-Datenbank (110), die dem System (100) zugeordnet ist. Das System (100) ruft Untermodul-Informationen (130), die mit einer oder mehreren Reparaturdokument-Kennungen korreliert sind, aus einer dem System (100) zugeordneten Mapping-Datenbank (120) ab. Ferner vergleicht das System (100) die den Fahrzeugkomponenten zugeordneten BOM-Daten mit den Untermodul-Informationen (130), die mit den Reparaturbeleg-Identifikatoren (140) korreliert sind. Basierend auf dem Vergleich erzeugt das System (100) einen Bericht (150), der eine Vielzahl von Parametem enthält, die Aktualisierungen anzeigen, die für einen oder mehrere Reparaturvorgänge von einer oder mehreren Fahrzeugkomponenten aus der Vielzahl der Fahrzeugkomponenten erforderlich sind.
Absstract of: DE102024127863A1
Offenbart wird u.a. ein computer-implementiertes Verfahren, umfassend: Bestimmen einer Position; Bestimmen, zumindest basierend auf der bestimmten Position, von Möglichkeiten zur Übergabe einer Sendung von einem Absender an eine Person oder Vorrichtung zum Weitertransport, wobei das Bestimmen von Möglichkeiten zur Übergabe der Sendung das Bestimmen von Daten betreffend eine Route zur Zustellung zumindest einer anderen Sendung an der bestimmten Position oder an einer Position, die in einem vordefinierten Verhältnis zu der bestimmten Position steht, umfasst, und wobei basierend auf den Daten Parameter einer ersten Möglichkeit zur Übergabe der Sendung bestimmt werden; Speichern zumindest einer Datenstruktur, welche die bestimmten Möglichkeiten umfassend die Parameter der ersten Möglichkeit repräsentiert; Bereitstellen der zumindest einen Datenstruktur zur Mitteilung der bestimmten Möglichkeiten zur Auswahl durch den Absender; wenn der Absender die erste Möglichkeit auswählt, Speichern der Auswahl und Bereitstellen der gespeicherten Auswahl so, dass die Person oder die Vorrichtung veranlasst wird, die Übergabe der Sendung gemäß den Parametern der ersten Möglichkeit durchzuführen. Des Weiteren wird u.a. eine Vorrichtung zur Durchführung und ein entsprechendes Computerprogramm offenbart.
Absstract of: US20260087501A1
Various embodiments described herein relate to providing and/or employing a system and a method for tracking emissions in a facility. In this regard, inventory data associated with at least one of a product and a process is collected from a plurality of data sources. As a result, a Product Carbon Footprint (PCF) value associated with the at least one of the product and the process is determined based on the inventory data and corresponding emission factors. Based on at least one change in parameters of the inventory data, the inventory data is updated in real-time. As a result, an updated PCF value is determined in real-time based on the updated inventory data. Accordingly, the updated PCF value is displayed via a user interface of a display device.
Absstract of: WO2026064569A1
System and method adapted to: obtain a plurality of parameters for a planned journey of a vehicle associated with a computing device; determine, based on the plurality of parameters, whether the planned journey includes at least one special condition; when the planned journey includes at least one special condition, activating journey monitoring; the journey monitoring including: obtaining a location of the vehicle; comparing the obtained location to an expected location; when the obtained location exceeds a predetermined distance from the expected location, determining, in an iterative or recursive manner, whether an updated arrival time has been received from the computing device or the vehicle, when the updated arrival time has not been received after a predetermined time period, transmitting an alert to another computing device associated with an operator; and transmitting a request for emergency services when an iteration count for the determining is exceeded.
Absstract of: WO2026062059A1
A method for ecologically managing areas of agricultural land, comprising: Fertilizing and watering agricultural land according to requirements, and determining the locations and/or the amount of fertilization and/or watering and/or the growth stage of the cultivated crop plants, and transmitting the data.
Absstract of: WO2026062180A1
The disclosure relates to a wireless server unit (30) for use in a warehouse (1), wherein the wireless server unit is configured to; receive a vehicle signal (101) from a material handling vehicle (10), said vehicle signal indicating a current or a desired position of the vehicle relative to at least one aisle (20), process the vehicle signal (101) to generate an aisle status data (301) based on the vehicle signal (101), transmit the aisle status data (301) to the at least one material handling vehicle (10), wherein the aisle status data (301) indicate whether the material handling vehicle is granted or declined access to enter the aisle (20). The disclosure further relates to a material handling vehicle (10) for communicating with a wireless server unit (30) and a remote aisle access system for controlling access to material handling vehicles in a warehouse.
Absstract of: WO2026064025A1
An online system uses a trained machine-learning model to detect errors in catalog data based on interactions of users of the online system with physical carts. Upon receiving an interaction signal indicating an interaction by the user with a device in a location of a source or an action signal indicating an action in the location of the source, the online system applies the trained model to the interaction signal and/or the action signal to generate an error score for an item that indicates a likelihood of an error in relation to the item. Responsive to the error score being above a threshold score, the online system generates an error checking signal for confirming that the error is present. Responsive to the confirmation of the error, the online system generates a user interface that alerts about the error and requests an action to correct the error.
Absstract of: JP2026052989A
【課題】作業効率及び／又は搬送効率を向上可能な、物品属性（例えばサイズ又は重量）が異なる複数の物品についての収容体への保管を行う。【解決手段】制御装置は、作業対象の物品について、当該物品の物品属性を、当該物品に対応の間口に入庫された当該物品の格納数、又は、当該物品の作業単位のサイズに基づき決定し、決定された物品属性と対応する収容体属性の収容体を選択し、当該収容体を複数の作業ステーションのうちの一の作業ステーションに搬送することの移動指示を、搬送装置に送信する。【選択図】図６
Absstract of: WO2024186954A2
A system may include a data classification module configured to classify data into classified data based on predefined sensitivity levels and regulatory compliance requirements. A system may include an access control module configured to manage permissions for different user roles within an enterprise, granting access to the classified data in accordance with the sensitivity levels and regulatory compliance requirements. A system may include a data formatting module configured to format classified data into formatted data with customized presentations for various enterprise departments. A system may include an integration module configured to interface with at least one of an Enterprise Resource Planning (ERP) system or a Customer Relationship Management (CRM) system to retrieve and classify the data. A system may include a user interface module configured to present the formatted data within the host application, providing a seamless user experience for accessing the embedded marketplace.
Absstract of: EP4714891A1
The disclosure relates to a wireless server unit (30) for use in a warehouse (1), wherein the wireless server unit is configured to; receive a vehicle signal (101) from a material handling vehicle (10), said vehicle signal indicating a current or a desired position of the vehicle relative to at least one aisle (20), process the vehicle signal (101) to generate an aisle status data (301) based on the vehicle signal (101), transmit the aisle status data (301) to the at least one material handling vehicle (10), wherein the aisle status data (301) indicate whether the material handling vehicle is granted or declined access to enter the aisle (20). The disclosure further relates to a material handling vehicle (10) for communicating with a wireless server unit (30) and a remote aisle access system for controlling access to material handling vehicles in a warehouse.
Absstract of: CN121127872A
A method includes generating a plurality of candidate shelf maps based on a plurality of current design rules, and outputting a graphical representation of each of a subset including the plurality of candidate shelf maps. The method further includes receiving a classification input to place each candidate shelf map in the subset within one of the plurality of categories, and creating and outputting a candidate rule based on at least one of the categories. The method also includes receiving a rule input specifying a plurality of candidate design rules to be retained. The method further includes inputting and outputting an updated subset of the candidate shelf maps based on the received design rules, and outputting a graphical representation of the at least one final shelf map.
Absstract of: AU2024271087A1
Systems and method electronically generate a resource code for an item based on attributes of the item and a proposed relationship instance associated with the item. Entities are often required to identify a resource code for items that move between jurisdictions. The systems and methods described herein allow entities to easily obtain resource codes for items moving between jurisdictions.
Absstract of: WO2024236436A1
Method for controlling a shipment, comprising: arranging a box (10), including: a main body (20), having an inner space (30); a visual detection tool (110) mounted to said main body (20) and configured to capture images portraying one or more objects contained in said inner space (30). The method further comprises performing at least one of a first control operation and a second control operation. The first control operation comprises: while the main body (20) is at least partly open and before shipping of the box (10) is started, capturing first images by said visual detection tool (110); making a first comparison between said first images and first reference data, the first reference data being representative of features expected for the one or more objects (X) contained in the inner space (30); generating a first notification signal (NS1) based on said first comparison. The second control operation comprises: during shipment of the box (10), capturing second images by said visual detection tool (110); making a second comparison between said second images and second reference data, the second reference data being representative of safe conditions of the one or more objects (X) contained in the inner space (30); generating a second notification signal based (NS2) on said second comparison. Also discloses is a system (1) for controlling a shipment.
Absstract of: WO2025072987A1
The invention relates to a computer-implemented method for determining at least one physical state of a farm animal (2) to be checked at a checking time (T1), comprising: determining temporally successive values of at least one physical parameter within the gastrointestinal tract (3) of the farm animal (2) to be checked by a probe device arranged therein (1); transferring the values to an evaluation unit (12); determining the likelihood of the existence of at least one physical state of the farm animal (2) to be checked by applying a trained artificial neural network to the transferred values; and generating a message about the existence of a physical state of the farm animal (2) to be checked at the checking time (T1) when the likelihood determined in step c) exceeds a predefined threshold value, wherein information about the performing of herd management measures and farm animals (2) affected by this is stored in the evaluation unit (12) and before the likelihood is determined, a check is carried out to determine whether the time (TH) of performing herd management measures falls within the checking period (TR) and the farm animal (2) to be checked is affected by the herd management measure, wherein if the time (TH) of performing the herd management measure falls in the checking period (TR) and the farm animal (2) to be checked is affected, the values determined in step a) which fall in a predefined time interval after the time (TH) of the herd management measure are removed
Nº publicación: EP4715702A1 25/03/2026
Applicant:
HONEYWELL INT INC [US]
Honeywell International Inc
Absstract of: EP4715702A1
Various embodiments described herein relate to providing and/or employing a system and a method for tracking emissions in a facility. In this regard, inventory data associated with at least one of a product and a process is collected from a plurality of data sources. As a result, a Product Carbon Footprint (PCF) value associated with the at least one of the product and the process is determined based on the inventory data and corresponding emission factors. Based on at least one change in parameters of the inventory data, the inventory data is updated in real-time. As a result, an updated PCF value is determined in real-time based on the updated inventory data. Accordingly, the updated PCF value is displayed via a user interface of a display device.
BOPI
Electronic site
