Alerta

SYSTEMS AND METHODS FOR COMMUNICATING BEVERAGE RECIPES TO A NETWORK OF BEVERAGE ROBOTS

Absstract of: US20260268421A1

Beverage platforms for brands and vendors, and associated systems, devices, and methods are disclosed herein. In some embodiments, a method for operating a network of production robots includes receiving, from a recipe generator, a preparation recipe associated with a beverage from the recipe generator, generating robot operating procedures based on the received preparation recipe, identifying one or more beverage-generating locations available to prepare the beverage based on ingredients available at individual beverage robots at each of the one or more beverage-generating locations, receiving, from the recipe generator, a selection of a beverage-generating location, and communicating the generated robot operating procedures to at least one beverage robot at the selected beverage-generating location to allow the at least one beverage robot to prepare the beverage according to the preparation recipe.

場所特定装置

Absstract of: JP2026144219A

0001 【課題】座席位置データに対象者が登録されていないケースでも、その配達物を届ける配達場所を特定する。 【解決手段】特定部１５Ｂが、座席位置データ１４Ａに基づいて対象者に関する第１の座席位置を検索し、代理人データ１４Ｃに基づいて対象者の代理人を取得し、座席位置データ１４Ａに基づいて代理人に関する第２の座席位置を検索し、第１の座席位置が得られた場合には第１の座席位置を配達場所として特定し、第１の座席位置が得られなかった場合、第２の座席位置を配達場所として特定し、配信部１５Ｃが、フリーアドレスオフィスに設置されている座席と特定部１５Ｂで特定された配達場所とを示す座席表を生成し、通信網を介して情報端末２０へ配信する。 【選択図】 図１

METHOD FOR DETERMINING A MEASUREMENT OF A PRODUCT IN A PRODUCT PRESENTATION DEVICE

Absstract of: EP4802962A2

Verfahren zur Bestimmung einer Abmessung eines in einer Produktpräsentationsvorrichtung (1) platzierten Produkts (10), wobei das Verfahren die folgenden Schritte aufweist, nämlich:- automatisches Feststellen einer Mehrzahl von Änderungen eines für zumindest eine Abmessung des Produkts (10) repräsentativen Parameters, wobei der Parameter mit Hilfe eines elektronischen Sensors (2) erfasst wird und der Sensor (2) in der Produktpräsentationsvorrichtung (1) lokalisiert ist,- Speichern von Änderungsdaten, welche die jeweils erfasste Parameter-Änderung repräsentieren,- Auswerten der Änderungsdaten, wobei anhand eines zeitlichen Verhaltens und/oder eines wertmäßigen Verhaltens der Parameter-Änderungen zwischen Parameter-Änderungen unterschieden wird, die nicht zur Bestimmung der zumindest einen Abmessung heranzuziehen sind und solchen Parameter-Änderungen, die zur Bestimmung der zumindest einen Abmessung heranzuziehen sind,

移動体制御システム、タスク管理装置、制御方法、およびプログラム

Absstract of: JP2026144331A

0001 【課題】１つまたは複数のタスクを含むタスクセットを単位として、移動体に割当てられる移動体制御システムを提供すること。 【解決手段】複数の移動体を制御する移動体制御システムであって、１つまたは複数のタスクを含むタスクセットを示す情報を取得するタスクセット情報取得部と、タスクセットの代表位置を、タスクセットの１つまたは複数のタスク各々の位置に基づき算出し、複数の移動体のうち、タスクセットを割り当てる移動体を、代表位置に基づき決定する移動体割当部とを備える移動体制御システムである。 【選択図】図１

情報処理装置、情報処理方法、およびプログラム

Absstract of: JP2026144106A

【課題】本開示の目的の一例は、荷物配達における、再配達の発生を抑制することにある。【解決手段】情報処理装置は、判定部を備える。判定部は、荷物の受取人を示す荷物情報と、在宅データベースとを用いて、受取人の在宅中における荷物の配達可否を判定する。在宅データベースは、少なくとも受取人の在宅状況を示す。また、在宅データベースは、受取人の生体情報を用いた認証により住宅の扉が解錠されたことに基づいて、更新されるデータベースである。【選択図】図１

METHOD AND SYSTEM FOR PROCESSING ORDER ACCORDING TO VEHICLE CAPACITY

Absstract of: WO2025140801A1

The present disclosure discloses a method and a system for processing an order according to vehicle capacity. The method includes the steps of receiving information of an order proposal from a first remote terminal; determining, based on the information of the order proposal, whether a vehicle utilization of the order proposal meets a preset full-vehicle requirement associated with vehicle capacity; if not, determining a list of recommended products based on the information of the order proposal and sending the list of recommended products to the first remote terminal; and if so, the order proposal is accepted as a full-vehicle order and organizing transportation according to the information of the order. The method can save time and logistic complexity of placing a full-vehicle order for the customer and reduce carbon dioxide emission.

MULTI-MEDICINE MANUFACTURING FACILITY WITH FORECASTING FUNCTION

Absstract of: WO2025093121A1

A method of managing a multi-medicine manufacturing facility (100) configured for manufacturing a selected medicine (236) of a set of supported medicines on demand, wherein the method comprises stocking a set of different active pharmaceutical ingredients (102) each in a different one of a set of storage containers (104) separately from excipients (108) under long-term storage conditions, provisioning a set of pre-approved recipes (106) for manufacturing each of the said set of supported medicines by executing a predefined manufacturing process using at least one of said active pharmaceutical ingredients (102) in a predefined formulation at the multi-medicine manufacturing facility (100), forecasting a development of at least one medicine-related parameter, and managing said stocking and/or said provisioning and/or manufacturing of a selected medicine (236) on demand based on said forecasting.

PACKAGING COLLECTING PROCESS WITH TOKEN REWARD AND BLOCK USE FUNCTION

Absstract of: WO2025093389A1

The present invention relates to a packaging collecting process comprising the steps of providing a packaging with an embedded crypto token value comprising a serialized code, one or more packaging scanning devices able to scan the serialized code, the packaging scanning devices being connected to a token transfer system for transferring token or part of token to a user or users of the packaging collecting process, and wherein the token transfer system comprising a blockchain smart contract with a token block use function. The serialized code may be printed on or embedded in the packaging.

SYSTEMS AND METHODS FOR ITEM PLACEMENT FOR IMPROVING WAREHOUSE PRODUCTIVITY

Absstract of: WO2025096469A1

A system and method are provided for controlling item placement for managing warehouse productivity. The system may include one or more warehouse databases, and one or more processors. The processors may be configured to interface with the one or more warehouse databases, extract, transform and load information from the one or more warehouse databases to form an input dataset, perform cost analysis and discrete event simulation to the input dataset to obtain a candidate dataset, and provide a recommendation for an optimal mix of volume flow through different forward pick areas of a warehouse by applying a linear programming solver on the candidate dataset.

PRODUCTION ANALYSIS MODELING FOR PRODUCT QUALITY DETECTION

Absstract of: WO2025114764A2

In at least one example, a method for production analysis modeling for product quality detection includes receiving a review request for a product that includes an identified failure, identifying production analysis data associated with a production process for the product, the production analysis data includes data captured during production of the product, providing the production analysis data for the product to a machine learning model for producing the product to compare the production analysis data to designated data ranges for the product, determining data from the production analysis data that are outside of the designated range identified by the machine learning model, and identifying a cause of the identified failure during the production of the product based on the determined data.

METHOD OF GENERATING LAYOUT DATA REPRESENTING THE ARRANGEMENT OF ARTICLES IN A GONDOLA

Absstract of: EP4804103A2

0001 The invention concerns a method of generating layout data representing the arrangement of articles in a gondola, comprising: • detecting electronic shelf labels in an image of the gondola; • detecting rows of consecutive electronic shelf labels in the image of the gondola, wherein detecting a row of consecutive electronic shelf labels comprises detecting an alignment of a set of the detected electronic shelf labels; • determining matching areas in the image of the gondola, each representing a product position in which an article associated with a corresponding electronic shelf label is expected to be shown, a matching area being determined according to a predetermined rule matching a detected electronic shelf label with a zone of the image based on a relative spatial relationship between the detected electronic shelf label, the detected row on which said electronic shelf label is located, and the adjacent electronic shelf labels in the same detected row.

PRODUCTION ANALYSIS MODELING FOR PRODUCT QUALITY DETECTION

Absstract of: TW202520188A

In at least one example, a method for production analysis modeling for product quality detection includes receiving a review request for a product that includes an identified failure, identifying production analysis data associated with a production process for the product, the production analysis data includes data captured during a production of the product, providing the production analysis data for the product to a machine learning model for producing the product to compare the production analysis data to designated data ranges for the product, determining data from the production analysis data that are outside of the designated range identified by the machine learning model, and identifying a cause of the identified failure during the production of the product based on the determined data.

SYSTEM AND METHOD FOR VERIFICATION OF WELL SERVICE DESIGN

Absstract of: US20250139325A1

0000 Systems and methods monitor equipment used in performing well services. Machine-readable indicia (e.g., RFID tags) for the equipment are encoded with coded identifiers, each of which includes information about product line, operational classification, and unique identification. The encoded indicia are physically associated with the equipment, and tracking information is associated in the system with the coded identifiers. The system compiles a design list to implement a given service using equipment. The system then remotely tracks the equipment using the coded identifiers of the encoded indicia. In particular, the equipment in the design list is dispatched to the site by verifying the encoded indicia for the equipment, a dispatched list of the encoded indicia is received for the equipment obtained at the site, and the dispatched list is verified against the design list. Additional tracking of the equipment can be performed with the coded identifiers and encoded indica.

SYSTEMS AND METHODS FOR MACHINE-LEARNING OPTIMIZATION FOR ESTIMATED TIME OF ARRIVAL ANALYSIS

Absstract of: WO2025096304A1

Techniques for determining an estimated time of arrival associated with a pickup location are described herein. For example, a customer can order a good or service for pickup at a pickup location. In some examples, order data can include a pickup location intent, such as a drive-through location, a pickup window, or a parking location. A location of a user computing device can be determined and can be input to a machine-learning model trained to determine estimated times of arrival for a particular location. In some examples, the machine-learning model can be trained with ground truth data specific to the location for which the model is to determine estimated times of arrival. The machine-learning model can output the estimated time of arrival and can update the time at any regular or irregular intervals, which can be used to prioritize an order in an order queue.

CONTAINER SENSOR ASSEMBLY, SYSTEM, AND METHOD

Absstract of: US20250140095A1

0000 The present disclosure provides a container sensor device for detecting a thermal event in a container. The container sensor device can include a housing, a detection module, and a blanket. The housing can be formed of a temperature resistant material. The detection module can be disposed adjacent the hollow interior of the housing and can include a sensor packet, a controller, a light source, an audio source, and a power source. The sensor packet can include a sensor capable of detecting the thermal event and can be adapted to monitor for a thermal event associated with a container. The sensor can detect heat, heat vented rise, humidity, pressure, and tilt of the housing. The blanket can be formed from a temperature resistant material and formed to cover the container.

SYSTEMS AND METHODS FOR A VIRTUAL FACILITY AND A VIRTUAL FACILITY WORLD MODEL

Absstract of: US12288293B1

A virtual facility system may include a storage system, a data engine, an integration system, a virtual facility interface system, and a simulator engine. The storage system may store data including video of the real facility. The data engine may train a neural rendering model of the real facility based on the data providing a photorealistic three-dimensional representation of the real facility. The integration system may provide one or more interfaces facilitating communication with one or more control systems associated with the real facility including a management system providing historical or live inventory tracking data and facility operations process data characterizing of locations and tasks corresponding with inventory items or materials stored or handled in the real facility. The virtual facility interface system may provide access to information stored in a virtual facility. The simulator engine may simulate novel views generated based on the neural rendering model.

貨物体積のオンラインリアルタイム識別方法、システム、装置および媒体

Absstract of: CN116758136A

The invention relates to a cargo volume real-time online identification method, system and device and a medium. The method comprises the following steps: acquiring a depth image and a color image of a set area containing a cargo through a camera; introducing a median filter to remove noise pixels in the depth image, and aligning the color image with the filtered depth image by combining internal and external parameters of the camera to obtain an aligned color image; performing instance segmentation on the aligned color image by using a pre-trained YOLACT model according to the color illumination gray level equal difference between the goods and the non-goods, and generating a goods mask; and carrying out sideline fitting, surface extraction and background separation on the cargo by using the aligned color image, the filtered depth image and the cargo mask, thereby realizing the determination of the cargo volume. Therefore, the method has high stability and robustness, reliable data can be obtained regardless of the placing position and the placing direction of the goods, and meanwhile, the method is beneficial to improving the working efficiency.

支援装置、支援プログラム、支援方法

Absstract of: JP2026144999A

0001 【課題】材料の発注数量の最適化を支援する支援装置、支援プログラム及び支援方法を提供する。 【解決手段】サーバ端末１、店舗端末３、店舗端末４が、ネットワーク２を介して各々接続され、発注を支援する支援システムにおいて、サーバ装置は、対象物の在庫数量の推移の情報を含む在庫情報を取得する在庫情報取得部と、少なくとも前記在庫情報をもとに所定の将来の時点の需要数量を予測する需要数量予測部と、少なくとも前記在庫情報と前記需要数量をもとに在庫基準量を算定する在庫基準量算定部と、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

Absstract of: JP2026144457A

【課題】コンプライアンスを保ちつつ配送計画の変更に対応できる情報処理装置を提供する。【解決手段】情報処理装置は、車両配送計画における情報を処理する情報処理装置であって、車両の配送計画の変更があったか否かを判定する変更発生判定部と、変更発生判定部が配送計画の変更があったと判定した場合に、車両に対し、停車を勧める停車勧告を送出する勧告通信制御部と、車両の現在の走行状況を示す状況情報を取得する状況取得部と、車両の状況情報が車両の停車を示す場合、車両の乗車している乗員の携帯電話端末に発呼するよう制御を行う発呼部と、を備える。【選択図】図５

基于数字孪生的仓储规划实训方法

Absstract of: CN122714192A

本申请涉及一种基于数字孪生的仓储规划实训方法。所述方法获取批量货品数据及仓储空间布置数据，基于所述仓储空间布置数据建立数字孪生仓储场景；响应实训用户在数字孪生仓储场景中的交互操作，获取若干货品存放约束数据；基于批量货品数据、结构化仓储空间数据及货品存放约束数据运算得到储位规划结果，并将储位规划结果绑定至数字孪生仓储场景进行可视化显示；基于储位规划结果，结合系统自动判定的合规性评分与授课用户对货品存放约束数据及取货路径规划数据的综合评分，融合计算得到实训分数。通过多维度约束驱动的储位规划与双维度评分机制，本申请提升了仓储实训的真实性与评价准确性。

进煤物料管控方法、装置、设备及计算机可读存储介质

Absstract of: CN122713724A

本申请涉及一种进煤物料管控方法、装置、设备及计算机可读存储介质，属于进煤管理技术领域，方法包括：若满足第一触发条件，则基于各煤种的当前可用库存余量、当前物料消耗速率及等待车辆数，确定动态队列中运煤车辆的卸煤需求优先级并排序；若满足第二触发条件，则控制预先设置的大小为K的滚动窗口从动态队列的头部开始遍历，依次选取运煤车辆；为窗口内待规划路径的运煤车辆规划路径；对窗口内已规划路径但未放行的运煤车辆进行路径有效性校验；若校验通过，则保留原路径指令，否则撤销原路径指令，并重新规划路径；若满足第三触发条件，则下发允许放行指令至已规划路径但未放行的运煤车辆以及路径引导装置。本申请能提升进煤物料管控效率。

基于AI大模型的数据分析方法和系统

Absstract of: CN122713786A

本发明提供了基于AI大模型的数据分析方法和系统，属于数据分析技术领域，包括：构建包含数据聚合与对齐网络、风险事件识别网络和风险量化评估网络的AI大模型；当发生温度超标事件时，获取供应链全链条数据；将供应链全链条数据按时间轴进行对齐聚合；对对齐后的多通道时序特征进行风险事件识别，计算风险分值；将风险分值进行累加，并和目标医疗器械产品批次的剩余有效期，计算综合风险指数；根据与预设风险阈值的比较结果，生成批次级风险评估报告。本发明解决了现有技术无法对医疗器械产品运输过程中发生的温度超标事件进行全生命周期的风险量化评估，导致风险评估依赖人工经验、缺乏多维度数据融合分析的问题。

一种分单方法及分单系统

Absstract of: CN122713917A

本发明提供了一种分单方法，包括接收待配送的订单，所述订单的内容包含SKU种类，SKU数量，SKU体积，SKU质量和收货地的经纬度；将所述订单根据经纬度进行聚类划分，完成对所述订单的初始分配；从初始订单分配中根据权重选取一条线路，如果满足当前线路车辆的运载体积和载重量要求，则保存所述当前线路订单的分配结果；否则，根据剔除策略逐一剔除所述当前线路的订单，或者根据加入策略将其他订单逐一加入到当前线路，直至订单总体积和总质量满足车辆的运载体积和载重量要求。当前线路确定后，未被加入线路的订单再次进入聚类分配，依次类推，直至所有线路分配完毕。本发明的技术方案大幅提高了后续配送的效率，进而提高了生产力。

一种基于大数据分析的商品库存信息处理方法及系统

Absstract of: CN122713924A

本发明公开了一种基于大数据分析的商品库存信息处理方法及系统，包括如下步骤：S1、汇集交易证痕记录和商品库存记录，形成库存证痕基表；S2、抽取库存批次牵连片，折入证痕槽谱并封装为库存证痕载体；S3、输入改进RepViT网络模型，经证痕嵌入层形成证痕槽嵌入态；S4、通过证痕闭合门控重参数化块分检贯通链和非贯通链，并对向重参数化生成证痕闭合卷积核；S5、回扫库存证痕载体，裁出异常库存片并锁定闭合库存片；S6、修正可售、冻结、回填和扣减状态，形成库存处置决策。本发明采用库存证痕载体构建与改进RepViT网络模型，实现多渠道商品库存异常剥离与状态修正。

消耗品残量予測装置、消耗品残量予測方法、及び、プログラム

Nº publicación: JP2026142762A 08/09/2026

Applicant:

理想科学工業株式会社

Absstract of: JP2026142762A

0001 【課題】消耗品残量予測装置、消耗品残量予測方法、及びプログラムにおいて、消耗品の残量予測の精度を高める。 【解決手段】消耗品残量予測装置１００は、受注された商品を収容する段ボール箱Ｂ（包材の一例）に付されるものであるか又は段ボール箱Ｂ自体である消耗品の残量情報を取得する取得部１１１（ステップＳ１）と、受注後で且つ消耗品の使用前の商品の受注状況に基づいて、消耗品の消費予測を行う予測部１１２（ステップＳ２）と、残量情報及び消費予測に基づいて、消耗品の予測残量を算出する算出部１１３（ステップＳ３）とを備える。 【選択図】図４