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システム

Resumen de: JP2026019810A

【課題】システムを提供する。【解決手段】業務情報を入力する手段と、入力された業務情報をAIモデルに学習させる手段と、学習された業務情報に基づいて業務フローを自動生成する手段と、複数の業務フローを読み込み、重複や不整合を分析し、改善案を生成する手段と、生成された改善案を提示する手段と、を含むシステム。【選択図】図１

システム

Resumen de: JP2026018061A

【課題】システムを提供する。【解決手段】ユーザからのレビューを収集する手段と、収集したレビューを前処理し、評価モデルに入力する手段と、生成人工知能を用いて配送の評価モデルを生成する手段と、評価モデルを用いて新規配送データを評価し、評価結果を出力する手段と、評価結果をフィードバックし、配送員や運送企業のパフォーマンスを改善する手段を含むシステム。【選択図】図１

システム

Resumen de: JP2026019860A

【課題】システムを提供する。【解決手段】宛先住所、送り主情報および郵便物の種類に基づいて郵便情報を入力する手段と、前記郵便情報をサーバに送信する手段と、前記サーバが郵便局のAPIを呼び出し、送信された郵便情報に基づいて管理番号を発行する手段と、前記サーバが発行された管理番号および郵便情報をデータベースに保存する手段と、前記管理番号を端末に返却し、ユーザに表示する手段と、前記サーバが定期的に郵便局のAPIを呼び出し、各管理番号に関連する追跡情報を取得し、データベースを更新する手段と、前記追跡情報をユーザが端末から確認する手段と、を含むシステム。【選択図】図１

システム

Resumen de: JP2026019826A

【課題】システムを提供する。【解決手段】過去の取引データを収集する手段と、前記収集された取引データを解析し、成功および失敗に関連するキーフレーズを抽出する手段と、前記抽出されたキーフレーズを基に、合意確度を予測するモデルを生成および更新する手段と、商談中にリアルタイムで前記キーフレーズを識別し、警告または提案を行う手段と、前記商談の結果をフィードバックとして収集し、前記モデルの精度を向上させる手段と、を含むシステム。【選択図】図１

システム

Resumen de: JP2026018052A

【課題】システムを提供する。【解決手段】ユーザーからの自然言語入力を受け取る手段と、ユーザーの要求を解析する自然言語処理手段と、解析された要求に基づいて関連情報を生成する生成手段と、生成された情報を表示するためにユーザーインターフェースを動的に更新する手段と、を含むシステム。【選択図】図１

システム

Resumen de: JP2026017991A

【課題】システムを提供する。【解決手段】ユーザの発話を音声データとして取得する手段と、音声データをテキストデータに変換する手段と、文脈と相手との関係性を解析する手段と、解析結果に基づいてテキストデータをターゲット言語に翻訳する手段と、翻訳結果をユーザに通知する手段と、を含むシステム。【選択図】図１

ワイヤレス・ネットワークと通信している供給マシンの機能

Resumen de: US20260038324A1

Systems and methods of the present disclosure relate to functionality of a dispensing machine (e.g., a vending apparatus) that is in communication with a wireless network. A system includes the wireless network, a messaging server in communication with the wireless network, a host application server in communication with the wireless network, a client application in communication with the wireless network, and a dispensing machine in communication with the wireless network. The dispensing machine is configured to transmit logs to the wireless network. The dispensing machine is also configured to receive updates from the host application server.

システム

Resumen de: JP2026017947A

【課題】システムを提供する。【解決手段】交通状況、天候情報、および物品情報をリアルタイムで収集する手段と、収集した交通状況、天候情報、および物品情報をフィルタリングおよび処理する手段と、フィルタリングおよび処理された情報を基に、生成モデルを使用して最適な配送ルートを生成する手段と、リアルタイム情報に基づいて配送ルートを更新する手段と、生成された配送ルートをユーザデバイスに表示する手段と、を含むシステム。【選択図】図１

INVOICE GENERATION METHOD AND DEVICE THEREFOR

Resumen de: WO2026029256A1

An invoice generation method and a device therefor are provided. The method comprises the steps of: receiving identification information about the invoice from a user device; generating a script for outputting the invoice corresponding to the identification information; and transmitting the script to the user device.

MANAGEMENT SYSTEM

Resumen de: WO2026028429A1

A management system disclosed in the present specification includes: an autonomous travel conveyance device that automatically conveys a component between a preparation area in which the component is prepared and a use area in which the component is used; and a management device capable of communicating with the autonomous travel conveyance device. The management device executes: abnormality detection processing for detecting that an abnormality has occurred in the autonomous travel conveyance device; position information display processing for displaying position information indicating a current position of the autonomous travel conveyance device in which the abnormality has been detected by the abnormality detection processing; and work information display processing for displaying work information related to work being executed by the autonomous travel conveyance device when the abnormality occurred.

MODEL ROCKET LAUNCHING SYSTEM

Resumen de: US20260034468A1

A wireless model rocket launching system which provides for safety checking and advanced functionality to be performed wirelessly using a mobile communication device such as a cell phone. A set of safety checks can be performed before the rocket is armed and triggered for launch. In addition, a location of the rocket can be tracked wirelessly on the mobile communication device.

MODEL ROCKET LAUNCHER WITH INTERACTIVE REMOTE LAUNCH FEATURES

Resumen de: US20260034469A1

A wireless model rocket launcher and rocket which provide for safety checking and advanced functionality to be performed wirelessly using a mobile communication device such as a cell phone. A set of safety checks can be performed before the rocket is armed and triggered for launch. In addition, a location of the rocket can be tracked wirelessly on the mobile communication device.

SERVING ROBOT

Resumen de: US20260034680A1

A serving robot comprises: a traveling unit; a vertical frame positioned on the upper part of the traveling unit and extending in the vertical direction; a plurality of coupling units positioned in the vertical frame so as to be spaced in the vertical direction; a support bracket fixed to one of the plurality of coupling units; a tray plate comprising a flat upper surface; a first coupling bracket positioned on the lower part of the tray plate; and a second coupling bracket positioned on the upper surface of the support bracket and being formed so as to be coupled to the first coupling bracket. The serving robot enables a user to freely change the position of a tray as necessary, thereby enabling carrying foods of various sizes.

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, INFORMATION PROCESSING SYSTEM, AND NON-TRANSITORY COMPUTER READABLE MEDIUM

Resumen de: US20260037921A1

An information processing apparatus includes a processor configured to manage shelf movement in a keeping region composed of multiple adjacent unit regions, each capable of holding a shelf. The processor acquires information on target shelves and their respective destination regions, and divides the target shelves into groups. For each group, it determines an exclusive region including the current position of the target shelf, its destination, and an adjacent empty region. Based on this, the processor generates a movement plan in which other shelves within the exclusive region are moved to relocate the empty region, enabling the target shelf to reach its destination.

COMPUTER VISION SYSTEM AND METHOD OF LABEL DETECTION, READING, AND REGISTRATION OF LABELS ON OBJECTS

Resumen de: US20260037759A1

A computer vision system for automatic identification, tracking and management of inventory and/or assets, wherein: the computer vision system is programmed with predetermined and configurable image data conditions that identify and capture certain types of movement; the computer vision system is programmed to constantly capture and process image data from one or more sets of sensors to detect the image data conditions; the computer vision system is programmed to trigger the process of identifying all objects and extracting label information from objects present in a field of view of the system if the image data conditions are fulfilled; the computer vision system processes the image data with one or more object detection algorithms and label detection algorithms and generate correspondences between objects and labels identified; and the computer vision system running change detection algorithms and semantic analysis to detect if any object was moved, removed, occluded and if any new objects were added in to the system.

WIRE LENGTH CALCULATION SYSTEM AND METHOD

Resumen de: US20260037757A1

A wire length calculation system is provided for tracking wire stored on and drawn from a reel. The wire length calculation system may include a detection element, digital logic components, location receiver, enclosure, analytic components, interface component, and sensor module. One or more sensors relative to the reel may detect a position indicative of forward or reverse reel rotation. A processor may analyze signals to count rotations of the reel, which is savable in memory. A battery may provide power. The system may also record the time and location associated with rotations. A method for tracking wire stored on and drawn from a reel using a wire length calculation system is also provided.

SYSTEM AND METHOD FOR PROVIDING WAREHOUSING SERVICE

Resumen de: US20260037918A1

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.

PRODUCT, PANEL, SYSTEM AND METHOD FOR MANUFACTURING AND/OR AUTHENTICATING AND/OR TRACKING SUCH PRODUCT

Resumen de: US20260037917A1

A panel product and related systems and methods include a code directly or indirectly linked to data regarding one or more physical parameters and/or the manufacturing of the product or of the batch the product is taken from. The panel product involves a system and method for manufacturing such panel products, and a method for authenticating and/or tracking panel products with computer-traceable data linked to the code.

Monitoring a store

Resumen de: US20260037916A1

There is provided a method for monitoring a store, the method includes (a) obtaining side images that are acquired, during one or more monitoring sessions, by one or more side cameras associated with one or more shopping containers that moves between one or more shelves located within a region of the store; and (b) determining, by a processor that comprises one or more integrated circuit, based on the side images, and using at least one machine learning process, shelved items information regarding an actual arrangement of items that are shelved during the one or more monitoring sessions, in the one or more shelves.

SECURE ITEM SHOPPING, CHECKOUT, AND PICKUP

Resumen de: US20260037914A1

An innovative retail checkout system utilizes radio frequency identification (RFID) technology to enhance security and streamline the shopping experience. Customers use RFID stickers linked to their loyalty accounts and attach them to items they wish to buy. Items are then collected by automated pickers, either human or robotic, and are pre-bagged for pickup. At self-checkout terminals, customers review, delete any unwanted items, add any desired new items, and pay for their items. Post-payment, customers receive a receipt or barcode on their phone, granting access to a secure pickup area. Here, customers reshow their code to retrieve their pre-bagged purchases. This system ensures that customers only handle or possess items after payment, significantly reducing theft opportunities. The integration of RFID tags not only secures transactions but also facilitates efficient item tracking and inventory management, enhancing the overall shopping experience and promoting the use of loyalty programs.

Bayesian and Frequentist Anomaly Detection Ensemble

Resumen de: US20260037912A1

A system and method are disclosed for applying machine learning to identify anomalous supply chain data that generates a probabilistic graphical model based on training data from historical attributes of a supply chain comprising supply chain entities to represent the performance of the supply chain entities in the supply chain, standardizes input features data related to the probabilistic graphical model, performs data anomaly detection within the probabilistic graphical model using one or more frequentist data anomaly detection algorithms, performs data anomaly detection within the probabilistic graphical model using one or more Bayesian data anomaly detection algorithms, combines according to one or more weighting methods, the data anomaly detection performed using one or more frequentist data anomaly detection algorithms with the data anomaly detection performed using one or more Bayesian data anomaly detection algorithms, and detects in response to the combining, an anomaly within the standardized input features data.

MACHINE-LEARNING-BASED ADAPTIVE IOT ASSET TRACKING

Resumen de: US20260037910A1

In one aspect, a method for machine-learning (ML) based adaptive Internet of Things (IoT) asset tracking comprising: providing a plurality of asset trackers following a route, wherein each asset tracker tracks one or more IoT assets; configuring each asset tracker to autonomously change and update a tracking technology and a tracking rate or an upload time utilized by the asset tracker; and training and validating a plurality of autonomous asset machine-learned (ML) models based on learned behavior of similar trackers that followed a same route or a similar route to the route followed by the plurality of asset trackers.

SYSTEMS AND METHODS FOR END-TO-END MODULAR INTELLIGENCE

Resumen de: US20260037905A1

Systems and methods for analyzing computer-readable image data to determine deviations from planogram data are disclosed. Image data of at least one physical display unit is obtained. The image data is annotated by an image processing engine to identify at least one item within the image data. Planogram data of a planogram corresponding to the at least one physical display unit is obtained and the at least one item within the image data is compared to an expected aspect of the at least one item within the planogram data. A user interface is generated including the image data and at least one interface indicator at least partially overlapping with the at least one item in the image data. At least one graphical aspect of the interface indicator is selected based on the comparison between the item within the image data and the item within the planogram data.

BATCH RECALL ASSESSMENT

Resumen de: US20260037984A1

Approaches for automated batch recall assessment are described. The approach includes identifying product batches having a plurality of faulty products manufactured by the organization. For each of the identified product batches, a plurality of quality concerns raised for faulty products manufactured as part of the product batch are quantified. Accordingly, for each product batch, the quantified values of each of the plurality of quality concerns is compared with a corresponding pre-determined threshold count value to enable determination of a quality risk level associated with the product batch. Based on the quality risk level, a batch recall assessment is performed to determine whether to recall product batches having the plurality of faulty products. Thus, the described approaches provide an automated technique for early detection of problematic batches, facilitating quick decision-making on potential batch recalls and improving overall quality management in manufacturing processes.

SERVER AND METHOD FOR FACILITATING BATCHING ORDERS FOR ON-DEMAND SERVICE

Nº publicación: US20260038030A1 05/02/2026

Solicitante:

GRABTAXI HOLDINGS PTE LTD [SG]
GRABTAXI HOLDINGS PTE. LTD

Resumen de: US20260038030A1

Aspects concern a server for facilitating batching orders of an on-demand service, the server comprising: a memory for storing instructions; a communication interface configured to receive an order for the on-demand service from a computing device; and a processor for executing the stored instructions and configured to: receive the order from the communication interface; predict an OTE (overall time efficiency) for a predetermined time slot at a predetermined area, based on a market condition signal and a batching configuration parameter; compare the predicted OTE with a predetermined OTE threshold; select a batching strategy from one or more batching strategies, based on the comparison of the predicted OTE with the predetermined OTE threshold; and attempt the selected batching strategy to batch the order with at least one other order.