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METHODS AND SYSTEMS FOR FINANCIAL MANAGEMENT AND RECONCILIATION WITHIN A DENTAL PROJECT MANAGEMENT SYSTEM

Resumen de: US2025190945A1

Methods and systems for providing financial management and reconciliation within the dental project management system are provided. The method includes the dental project management system receiving an invoice associated with a particular dental product project. The method also includes an artificial intelligence (AI) validation module of the dental product management system automatically validating the invoice. Also, the method includes that upon validation of the invoice, the dental product management system requesting feedback from a doctor at a dental office. Further, the method includes the dental product management system receiving feedback from the doctor. Moreover, the method includes training the AI validation module based on the feedback from the doctor.

TECHNOLOGIES FOR USING MACHINE LEARNING TO MANAGE PRODUCT CATALOGS

Resumen de: US2025190942A1

Systems and methods for using machine learning to dynamically manage product catalogs are disclosed. According to certain aspects, a set of machine learning models may analyze a set of data identifying a product to create or update a data record associated with the product, where the set of machine learning models may include a brand assignment model, a category assignment model, and a tag assignment model. Further, an entity resolution model may refine the data record, which may be organized according to a set of hierarchical data for the product. Additionally, a product catalog may be updated to identify the product according to the set of hierarchical data for the product.

METHOD FOR TRACKING PLACEMENT OF PRODUCTS ON SHELVES IN A STORE

Resumen de: US2025190941A1

One variation of a method for tracking placement of products in a store includes: accessing an image recorded by a mobile robotic system within a store; detecting a shelf in a region of the image; based on an address of the shelf, retrieving a list of products assigned to the shelf by a planogram of the store; retrieving a set of template images—from a database of template images—defining visual features of products specified in the list of products; extracting a set of features from the region of the image; determining that a unit of the product is mis-stocked on the shelf in response to deviation between the set of features and features in a template image, in the set of template images, representing the product; and in response to determining that the unit of the product is mis-stocked on the shelf, generating a restocking prompt for the product.

GLOBAL AND LOCAL CATEGORY-BASED ITEM LOCATION FILTERING

Resumen de: US2025190943A1

A system and method for global and local category-based item location recognition filtering is provided. A plurality of candidate items associated with a current location within a retail environment are filtered using a global level filter that identifies and removes items associated with an item category that is not a confirmed category for the recognized location. A local level filter analyzes item count values for the remaining candidate items to identify and remove low-count items. If any single item count is below a threshold, the low count items are removed. If all the candidate items are low count items at the item level, a count values for all candidate items in the same category are aggregated into a category-level item count value which is used to identify low count items. The low-count items are filtered out to eliminate false positives for improved accuracy and reliability of the item-to-location mapping results.

Tool Inventory and Tracking System

Resumen de: US2025190939A1

Methods and systems are described for inventory management in scenarios like aircraft repair locations, hospitals, or other locations in need of tracking inventory. A central tool inventory or repository can be used to stock smart retainers and toolboxes. The smart retainers and toolboxes can each comprise a variety of receptacles for storing items, tools, supplies, vehicles, or other objects that a user desires to track and monitor. And each may comprise a computing device configured to detect and track the presence of all items stored within the respective smart retainer or toolbox. A user may only be able to check out those items necessary to complete an identified task. Machine learning may be used over time to better predict needs for certain tasks or to better predict the effects of wear and tear and other degradation.

SYSTEMS AND METHODS FOR QUALITY MONITORING OF PALLETS

Resumen de: US2025190925A1

Exemplary embodiments are disclosed of systems and methods for quality monitoring of pallets of goods (e.g., fresh seafood, other perishable goods, nonperishable goods, etc.) in a cargo.

SUPPLY CHAIN NETWORK CREATION APPARATUS, SUPPLY CHAIN NETWORK CREATION METHOD AND PROGRAM

Resumen de: US2025190905A1

Provided are a supply chain network creation apparatus, a supply chain network creation method, and a program that, when creating a supply chain network for a target item, can extract companies further upstream and is less likely to include companies that are not related to the item. A supply chain network creation apparatus 100, comprising a BOM creation unit 122 that creates a BOM (bill of materials) based on a transaction history 132 including information on an order-placing company, an order-accepting company, and items traded between the order-placing company and the order-accepting company, and a supply chain network creation unit 121 that creates a supply chain network representing a transaction relationship between the order-placing company and the order-accepting company based on the BOM.

VERARBEITUNGSVORRICHTUNG, HANDHABUNGSSYSTEM, VERARBEITUNGSVERFAHREN UND SPEICHERMEDIUM

Resumen de: DE102024136280A1

Gemäß einer Ausführungsform ist eine Verarbeitungsvorrichtung so konfiguriert, dass sie mit einer Handhabungsvorrichtung kommuniziert, die einen Handhabungsroboter und eine Inspektionseinheit umfasst; der Handhabungsroboter transferiert einen Artikel; und die Inspektionseinheit prüft den transferierten Artikel. Die Verarbeitungsvorrichtung ist so konfiguriert, dass sie das Auftreten eines Fehlers der Handhabungsvorrichtung erkennt. Die Verarbeitungsvorrichtung ist so konfiguriert, dass sie einen Prozess, in dem der Fehler aufgetreten ist, und eine Ursache für das Auftreten des Fehlers bestimmt. Die Verarbeitungsvorrichtung ist so konfiguriert, dass sie eine Änderung der Verwaltungsinformationen des Artikels aufgrund des Fehlers bestimmt, indem sie ein Bestimmungsergebnis des Prozesses und ein Bestimmungsergebnis der Ursache verwendet.

EVOLUTIONARY COMPUTATIONAL MODULAR NEURAL NETWORKS, STRUCTURES AND METHODS, INCORPORATING EVOLUTIONARY COMPUTATIONAL ECONOMIC DATA SYSTEMS, AND ADAPTIVE, EMERGENT, EVOLUTIONARY AUGMENTED ECONOMIC DATA SYSTEM MACHINE LEARNING

Resumen de: US2025190748A1

Disclosed herein are evolutionary computational modular neural networks, structures and methods: incorporating evolutionary computational economic data system structures and methods; and adaptive, emergent, evolutionary economic data system machine learning structure and methods: that create, govern, constrain and contextualize, the stochastic selections and configurations, of adaptive, emergent and evolving goods, services and assets, contextual data, structures, dimensions, connections, relationships, perspectives, parameters and exchange mechanisms, including location and utility, between and among self-organizing supply and demand agent computing devices.

PROCESSING DATA FOR PREDICTING PIPE FAILURE

Resumen de: US2025190877A1

A system receives and automatically transforms utility pipe attribute data and pipe break data. The missing and/or incorrect entries in the pipe attributes and/or break 5 data is automatically identified and correct values for these entries are is automatically imputed to generate improved datasets of the pipe attribute data and break data. The improved data can be used to build a model with machine learning. Predictions of future likelihood of failure for pipe sections in a network of pipes can be made based on the model. A national database can be created that is filled with environmental data that has been transformed, optimized, merged, and imputed. The national database can be used for many customers to save computational costs. The national database can be used to build the failure prediction model for utility companies thereby saving computational costs.

DEEP REINFORCEMENT LEARNING FOR PRODUCTION SCHEDULING

Resumen de: AU2025203797A1

Methods and apparatus for scheduling production at a production facility are provided. A model of a production facility utilizing one or more input materials to produce products that satisfy product requests can be determined. Each product request can specify a requested product to be available at a requested time. Policy and value neural networks can be determined for the production facility. The policy neural network can represent production actions to be scheduled at the production facility and the value neural network can represent benefits of products produced at the production facility. The policy and value neural networks can use the model of the production facility during training for generating a schedule of the production actions at the production facility that satisfy the product requests over an interval of time and relates to penalties due to late production of the requested products.

METHOD FOR ELECTRONICALLY DOCUMENTING A CLEANING PROCESS

Resumen de: AU2025203812A1

Abstract Method for electronically documenting a cleaning process, in which data of the cleaning process are captured and written to an electronic database, comprising the following steps: - capturing preparation data in connection with preparing for the cleaning process, - capturing performance data in connection with performing the cleaning process, - capturing post-processing data in connection with following up on the cleaning process.

METHOD AND SYSTEM FOR INCONTINENCE PRODUCT ASSESSMENT

Resumen de: AU2022488081A1

Method and system for performing computer-based comparison of processes of use of sets of incontinence products. A processor of a computer device such as an evaluation server is configured to receive, for each wearer from a plurality of wearers in a care system, first assessment time series data regarding a first process of use of a first set of one or more incontinence products worn by the wearer, second assessment time series data regarding a second process of use of a second set of one or more incontinent products worn the wearer, and a wearer profile record. The processor is further configured to generate values of a plurality of evaluation parameters indicating a comparison of the first process of use and the second process of use, based on processing the first and second assessment time series data, and the wearer profile record for each wearer from the plurality of wearers.

Transportroboter sowie Verfahren und System zum Betreiben eines solchen Transportroboters in einem Warenlager

Resumen de: DE102023134148A1

Die Erfindung betrifft einen Transportroboter (120a), insbesondere Flurförderzeug (120a), der automatisiert, teilautomatisiert und/oder manuell betreibbar ist, um Transportaufträge zum Transport von Waren (140) in einem Warenlager mit einer Vielzahl von Transportrobotern (120a,b) durchzuführen. Der Transportroboter (120a) umfasst eine Kommunikationsschnittstelle, welche ausgebildet ist, ein Umgebungsmodell des Warenlagers und ein Fähigkeitsmodell der Vielzahl von Transportrobotern (120a,b) in dem Warenlager zu empfangen. Das Umgebungsmodell definiert eine Vielzahl von Schlüsselstellen des Warenlagers und für jede Schlüsselstelle wenigstens eine benachbarte Schlüsselstelle. Das Fähigkeitsmodell definiert für jede der Schlüsselstellen des Umgebungsmodells Bewegungsablaufinformationen, insbesondere zumindest eine Trajektorie, für eine automatisierte Bewegung zu der wenigstens einen benachbarten Schlüsselstelle, wobei für jede Schlüsselstelle der Vielzahl von Schlüsselstellen des Umgebungsmodells die Bewegungsablaufinformationen des Fähigkeitsmodells auf wenigstens einer durch Imitationslernen erlernten Bewegung eines manuell betriebenen Transportroboters (120b) der Vielzahl von Transportrobotern (120a,b) zwischen der Schlüsselstelle und der wenigstens einen benachbarten Schlüsselstelle basieren.

Transportroboter sowie Verfahren und System zum Betreiben eines solchen Transportroboters in einem Warenlager

Resumen de: DE102023134149A1

Die Erfindung betrifft einen Transportroboter (120a), welcher automatisiert, teilautomatisiert und/oder manuell betreibbar ist, um Transportaufträge zum Transport von Waren (140) in einem Warenlager mit einer Vielzahl von Transportrobotern (120a,b) durchzuführen. Der Transportroboter (120a) umfasst eine Kommunikationsschnittstelle, welche ausgebildet ist, ein Umgebungsmodell (200) des Warenlagers und ein Fähigkeitsmodell der Vielzahl von Flurförderzeugen (120a,b) in dem Warenlager zu empfangen. Das Umgebungsmodell (200) definiert eine Vielzahl von Schlüsselstellen (210a-c) des Warenlagers und für jede Schlüsselstelle wenigstens eine benachbarte Schlüsselstelle. Das Fähigkeitsmodell definiert für jede der Schlüsselstellen (210a-c) des Umgebungsmodells Bewegungsablaufinformationen (220a-c), insbesondere zumindest eine Trajektorie (220a-c), für eine automatisierte Bewegung zu der wenigstens einen benachbarten Schlüsselstelle. Der Transportroboter (120a) umfasst eine Steuereinheit, welche zur Durchführung eines Transportauftrags von einer Startschlüsselstelle (210a) zu einer Zielschlüsselstelle (210c) der Vielzahl von Schlüsselstellen (210a-c) ausgebildet ist, die Bewegung des Transportroboters (120a) auf der Grundlage des Umgebungsmodells (200) und erster Bewegungsablaufinformationen (220a), insbesondere einer ersten Trajektorie (220a), und wenigstens zweiter Bewegungsablaufinformationen (220b), insbesondere wenigstens einer zweiten Trajektorie (220b), des Fähi

連続血糖測定用センサートランスミッタの製造方法

Resumen de: US2023101081A1

The present disclosure relates to a manufacturing method for a sensor transmitter for continuous glucose monitoring and, more particularly, to a manufacturing method for a sensor transmitter, capable of generating quality control information in which production information of a sensor and production information of a transmitter that are used for the sensor transmitter during an assembly process of the sensor transmitter are mapped to each other, and storing and managing the generated quality control information in a server, so as to monitor a distribution channel or a sales channel of the sensor transmitter by using the quality control information, use for quality control of the sensor transmitter, or easily track a bad sensor transmitter.

VERFAHREN ZUM UMVERTEILEN VON PACKSTÜCKEN IN EINER SORTIERSTATION

Resumen de: DE102023134278A1

Beschrieben uns dargestellt ist ein Verfahren zum Umverteilen von Packstücken (2) in einer Sortierstation (1). Damit die Effizienz von Sortierstationen mit vertretbarem Aufwand weiter gesteigert werden kann, ist vorgesehen, dass die Packstücke (2) in wenigstens einer Transportreihenfolge (4) zum Erfassen jeweils wenigstens eines Sortierparameters nacheinander gemäß der wenigstens einen Transportreihenfolge (4) gescannt werden, dass die gescannten Packstücke (2) in der wenigstens einen Transportreihenfolge (4) in einer Sortiereinrichtung (6) anhand des wenigstens einen Sortierparameters sortiert und in wenigstens zwei parallele Sortierreihenfolgen (10) von Packstücken (2) aufgeteilt werden, dass die Packstücke (2) der parallelen Sortierreihenfolgen (10) nacheinander gemäß den Sortierparametern mit wenigstens einem gemeinsamen Roboter (11) in wenigstens eine Transporteinheit (12) verladen werden, dass eine Steuereinrichtung (6) anhand des wenigstens einen Sortierparameters der Packstücke (2) der wenigstens zwei parallelen Sortierreihenfolgen (10) und, vorzugsweise, anhand wenigstens eines Beladezustands der wenigstens einen Transporteinheit (12), eine optimierte Beladereihenfolge für den wenigstens einen gemeinsamen Roboter (11) ermittelt und dass die Packstücke (2) gemäß der optimierten Beladereihenfolge von dem wenigstens einen gemeinsamen Roboter (11) in die wenigstens eine Transporteinheit (12) verladen werden.

QUANTUM ENHANCED OPTIMIZATION

Resumen de: US2025181946A1

In an example embodiment, rather than utilizing either traditional computing optimization techniques or quantum computing optimization techniques alone, both types of techniques are utilized together to solve the same problem. The result is that the problem can be solved both more quickly and more accurately than using either technique alone.

船舶情報収集システム

Resumen de: US2025178705A1

A watercraft information collecting system includes an onboard system and a server outside a watercraft. The onboard system includes watercraft devices on the watercraft, an onboard network on the watercraft and connected to the watercraft devices, and a communication terminal communicable with the watercraft devices via the onboard network. The server is communicable with the communication terminal. The communication terminal is configured or programmed to execute a system scanning process to collect information about the watercraft devices and a scanning result transmission process to transmit a scanning result including the information collected by the system scanning process to the server. The server is configured or programmed to register the scanning result received from the communication terminal and to collect at least one of position information about the watercraft or information about a distribution stage of the watercraft.

A METHOD AND A SYSTEM FOR INVENTORY MANAGEMENT

Resumen de: EP4567695A1

A method and system for inventory management is disclosed. The inventory management method comprises sensing, via at least one RFID reader, RFID tag information for each of one or more packages based on at least one RFID tag associated with each of the one or more packages. The inventory management method further comprises sensing, via at least one radar sensor, a respective location for each of the one or more packages. The inventory management method further comprises comparing, via an angle alert framework, the respective location for each of the one or more packages with a predetermined manifest information. Thereafter, the inventory management method comprises determining, via one or more processors, a placement of each of the one or more packages based at least on the comparison.

情報処理装置、情報処理プログラム、及び情報処理方法

Resumen de: JP2025088620A

【課題】顧客の金銭的または時間的負担をより軽減させるデリバリーサービスを提供する情報処理装置、情報処理プログラム及び情報処理方法を提供する。【解決手段】情報処理装置は、ユーザ端末から商品の配達を含む商品の注文を受け付ける場合、配達先情報を取得する第１取得部と、配達先情報と店舗の所在地情報とから店舗から配達先までの配達予定時間／時刻または配達料を第１配達サービスの第１配達コストとして算出する算出部と、他の事業者の配達サービスを示す第２配達サービスを提供する情報処理装置に配達先情報と店舗情報とを提供して、その情報処理装置から店舗から配達先までの配達予定時間／時刻または配達料を第２配達サービスの第２配達コストとして取得する第２取得部と、所定の順番で、それらの配達コストを含む配達コストリスト情報をユーザ端末に提供する提供部と、を備える。【選択図】図１

情報処理装置、情報処理方法及びプログラム

Resumen de: JP2025088254A

【課題】患者に発行された処方箋に基づく処方薬の受取り方法として当該患者にとって便宜になる柔軟な態様を提供すること。【解決手段】患者Ｋは、例えば自宅最寄駅のロッカー装置３－１と共に配置されている回収箱８－１に対して、処方箋の原本を投入する（ステップＳ２）。第１配達員Ｈ１は、処方箋の原本を回収箱８－１から取出して、薬局ＹＫに配達する（ステップＳ３）。第２配達員Ｈ２は、薬局ＹＫの薬剤師により処方箋に基づいて処方された処方薬を、患者Ｋの会社最寄駅のロッカー装置３－３まで配達して預入れる（ステップＳ５）。患者Ｋは、会社最寄駅のロッカー装置３－３から処方薬を取出して受け取る（ステップＳ６）。【選択図】図１

情報処理システム、情報処理方法及びプログラム

Resumen de: JP2025088252A

【課題】ユーザの物品を別の場所まで配達する用途で便宜かつ効率的な一時保管可能な装置の使用を可能にすること。【解決手段】Ａ駅に設置されたロッカー設備３Ａに荷物ＭがユーザＵにより預入れられた場合、荷物Ｍが配達員Ｈによりロッカー設備３Ａから取出されて、Ｂ駅まで配送されて、当該Ｂ駅に設置されたロッカー設備３Ｂに預入れられる。この場合、ロッカー設備３Ａに配設されたロッカーＵＩ装置４Ａは、サーバ１から送信されるロッカー設備３Ｂの状態に基づいて、ロッカー設備３Ｂにおいて物品の預入れが可能か否かを判断し、可能と判断した場合には物品のロッカー設備３Ａへの預入れを許可し、不可能と判断した場合には物品のロッカー設備３Ａへの預入れを禁止する。【選択図】図１

REAL-TIME TRACKING OF PARCELS IN A FACILITY

Resumen de: EP4566727A2

The present disclosure relates to a method, system and non-transitory computer-readable medium comprising:receiving tracking data comprising a plurality of read events for an object (320) traveling through a facility, wherein each read event indicates a tag associated with the object being read by a reader of a plurality of readers (108; 330);determining based at least in part on a configuration file and the tracking data, a path for the object to travel through the facility, wherein:the configuration file assigns each reader to a location of the plurality of locations and indicates at least one of a valid connection or a valid transition between each pair of sequential locations in the sequence of locations, anda read event indicates the tag associated with the object being read by the reader assigned to at least one location of the sequence of locations, andcausing presentation of a graphical user interface comprising at least a portion of the path on a computer device.

SYSTEMS AND METHODS FOR EVALUATING SUSTAINABILTY OF A FOOD SUPPLY CHAIN NETWORK USING DIGITAL TWIN

Nº publicación: EP4567692A1 11/06/2025

Solicitante:

TATA CONSULTANCY SERVICES LTD [IN]
Tata Consultancy Services Limited

Resumen de: EP4567692A1

There is a challenge in creating a seamless food supply chain that aligns with unique characteristics of each food item while considering business values. The present disclosure address the challenges associated with the food supply chain by providing a system and method for evaluating sustainability of a food supply chain network using digital twin. The present discourse describes developing a set of modeling abstractions and a digital twin-based approach to explore ideal supply chains for food, aiming to reduce food wastage, ensure food quality and improve profit margins. In the present disclosure, unique characteristics of fruit supply chains are described which are further applied to food supply chains. Using the characteristics of climacteric fruits, unique requirements that contemporary perishable food supply chains need to consider are described. Furthermore, a digital twin-based approach specifically designed for climacteric fruits is provided to address modeling requirements and enable evidence-based and justification-backed holistic decision-making.