319 results about "Inventory system" patented technology

A system for monitoring and optimizing the performance of an e-commerce platform, which includes the following: a) a data collection and integration module configured to retrieve real-time data from e-commerce platforms, marketing channels, inventory systems and user interactions using APIs, tracking scripts and server-to-server communication; b) a data preprocessing and filtering module for cleaning and structuring the collected data by removing inconsistencies, normalizing formats and detecting outliers; c) a machine learning and predictive analytics machine that uses deep learning, regression models and clustering algorithms to analyze historical and real-time data to predict sales trends, customer behavior and demand fluctuations; d) a performance monitoring dashboard configured to visualize key performance indicators, sales trends and marketing effectiveness, and to provide custom reports and real-time alerts; e) an automated module for optimizing marketing campaigns, which dynamically adjusts advertising strategies, budget allocations, target audience approach and creative elements based on real-time data insights; f) an automated decision and control system configured to execute AI-driven optimization strategies, including bid adjustments, price changes and inventory reallocations without manual intervention; (g) a fraud detection and compliance monitoring module that uses anomaly detection algorithms to identify fraudulent transactions, fake reviews and advertising fraud while ensuring compliance with legal regulations; the system continuously monitoring, analyzing and optimizing the performance of the e-commerce platform through automated data-driven decision-making.

A blockchain of block entries that can be requested by users from user devices is maintained in a distributed network of nodes. Block entries include a plurality of data portions that are each associated with an access level. A request from an auditor to view one or more data portions of a block entry can includes an access code associated with at least one access level can be evaluated to identify one or more data portions associated with the access level. A customized view of the block entry which includes the one or more data portions associated with the access level can be generated. An artificial intelligence engine can review entries within the distributed ledger, identify earnings information associated with the sales of the commercial inventory, determine tax based on earning information, and pay the tax via fiat or cryptocurrency to government authorities based on earnings information.

The invention relates to the field of intelligent warehousing, and discloses an intelligent clothing inventory real-time monitoring and automatic checking system based on RFID, which aims at solving the problems of poor environmental adaptability, high dynamic sensing delay, high cross-scene deployment cost and the like in the prior art, and comprises a reconfigurable RFID tag, an integrated spiral-dipole composite antenna and a temperature compensation circuit, dual-band switching of 860 to 960 MHz and self calibration are supported; a heterogeneous read-write network is formed by a fixed reader-writer and AGV mobile nodes, and signal coverage is enhanced through beam forming; the edge calculation module adopts an LSTM trajectory prediction and hybrid filtering algorithm to realize millisecond-level processing; the cloud platform maps the inventory in real time based on the digital twin model and traces the source of the block chain, the dynamic time slot distribution protocol optimizes the cooperation of the reader-writer, and the transfer learning model realizes cross-scene rapid adaptation. According to the invention, the tag reading rate is 99.7%, the inventory efficiency is improved by 300%, the deployment period is shortened by 80%, and the problems of accurate inventory management and dynamic tracking in a complex environment are solved.

The invention relates to the technical field of inventory control, and particularly discloses an order-returning inventory-returning control method, which specifically comprises the following steps: acquiring a sales order pushed down by a platform; transmitting the sales order to an inventory system for reservation, and determining that the reservation of the sales order is successful if the reservation inventory is sufficient; if the predeterminable inventory is not enough, determining that the sales order is failed in reservation, and determining the sales order which is failed in reservation as an out-of-stock order; acquiring a deficit order created by warehouse personnel; the inventory loss order is transmitted to an inventory system for reservation, and in response to the order cancelling operation of the sales order which is successfully reserved, the inventory system returns the previously occupied reservable inventory; and based on the priority of the out-of-stock order, determining the priority ownership of the occupied reservable stock. Therefore, the time and energy consumption of manual auditing are reduced, the auditing speed is increased, and the processing efficiency is improved. And the priority can be adjusted in real time, so that the timeliness and accuracy of inventory management are ensured.

The invention discloses an automatic medicine vending machine based on AI inquiry. The automatic medicine vending machine comprises a machine body, an intelligent interaction system, an AI inquiry system, a medicine storage bin, a control system, a payment system and a printing device. A constant-temperature and constant-humidity system and a disinfection and air purification module are arranged in the machine body. The intelligent interaction system collects symptom information in a multi-mode mode, and the AI inquiry system achieves symptom analysis, intelligent triage and personalized medication recommendation based on a medical knowledge graph and a natural language processing technology. The medicine storage bin carries a three-dimensional matrix type medicine cabinet and an intelligent inventory system, and intelligent replenishment is carried out through an LSTM algorithm. And the control system adopts a controller and triple verification to realize high-precision medicine discharging operation. The payment system supports multiple settlement modes and block chain evidence storage data. And the printing device outputs the medication guide sheet and the anti-counterfeit label. According to the invention, AI and automation technologies are deeply integrated, the service of less than or equal to 3 minutes in the whole process of inquiry-payment-medicine dispensing is realized, and the safety and convenience of medicine use are improved.

The invention discloses a business data quality treatment method supporting system hidden danger identification, and relates to the technical field of computer information processing, and the method comprises the steps: S1, collecting a real-time batch tracking data stream from an enterprise inventory system through a multi-source data interface, and obtaining an initial data set containing inconsistent formats and missing batch numbers; s2, scanning a data stream according to the initial data set by applying a preset automatic detection rule, judging positions and types of abnormal points by utilizing a rule matching mode and a threshold comparison mechanism to obtain an abnormal point set, and activating a real-time stream analyzer to process field complete verification to generate an abnormal log record; according to the business data quality treatment method supporting system hidden danger identification, real-time and accurate anomaly detection and repair are realized, the consistency and reliability of inventory data are improved, and the enterprise inventory management efficiency is remarkably optimized.

The invention relates to an inventory model training method and device based on deep reinforcement learning. The method comprises the following steps: modeling an inventory problem into a Markov decision process, defining a state space, an action space, a state transition probability and a reward function, and constructing an inventory model for a target service; a deep neural network is adopted as an approximator of a value function and a strategy function, and initialized network parameters of the inventory model are determined; acquiring historical inventory system operation data for the target business, and determining a training sample according to the historical inventory system operation data through interaction between the inventory model and the inventory environment based on an experience putting-back mechanism; and extracting data from the training samples stored in the experience playback buffer area to carry out model processing, and updating network parameters of the inventory model until a preset training ending condition is met, thereby obtaining the trained inventory model. By adopting the method, an inventory model which is adaptive to a complex and changeable market environment and is automatically optimized can be constructed, and the inventory management efficiency is improved.

The invention provides a dual inventory state verification system and method based on an RFID technology, and the system comprises an RFID data collection module which is used for reading and uploading the physical position and state of a material in real time; the inventory system data synchronization module is configured to obtain and synchronize account state information of the target material in the inventory system in real time; the comparison and verification engine is configured to receive the actual inventory state information from the RFID data acquisition module and the account state information from the inventory system data synchronization module, carry out real-time dynamic comparison, and output an operation instruction of allowing or forbidding the warehouse-in and warehouse-out of the materials according to a comparison result; the authority control and execution module is configured to execute corresponding physical operation according to the operation instruction output by the comparison and verification engine; and the warehouse-in door module and the warehouse-out door module are respectively arranged at an entrance and an exit of the warehouse. The invention aims to solve the problem of inconsistent account and reality caused by dependence of a single data source and lagging of manual intervention in traditional warehouse management.

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for obtaining inventory data associated with a product or service; generating, using the inventory data, a monotonically increasing function indicative of cumulative demand; predicting future inventory events using the monotonically increasing function and a machine learning model that includes survival curve analysis; in response to predicting future inventory events using the monotonically increasing function of data and survival curve analysis, generating an instruction configured to procure one or more items of inventory; and transmitting the instruction to an inventory system.

An inventory system is provided for inventorying inventory items on a plurality of information handling systems. The inventory system includes the plurality of information handling systems and an inventory manager. Each information handling system includes a plurality of inventory items. The inventory manager manages an inventory object, and collects an inventory of the inventory items based on the inventory object. The inventory object identifies inventory information related to the inventory items that are to be collected in the inventory, and identifies execution information related to the collection of the inventory.

A method of automated cataloging includes: receiving a request for cataloging an item as an inventory from the computer device; generating a catalog model, using information about one or more objects; applying the catalog model, using information about the item; and searching within a database for an entry belonging to a class in which the item is determined to be. The database stores information about inventories, and at least a part of the one or more objects is included in the inventories.

A blockchain of block entries that can be requested by users from user devices is maintained in a distributed network of nodes. Block entries include a plurality of data portions that are each associated with an access level. A request from an auditor to view one or more data portions of a block entry can includes an access code associated with at least one access level can be evaluated to identify one or more data portions associated with the access level. A customized view of the block entry which includes the one or more data portions associated with the access level can be generated. An artificial intelligence engine can review entries within the distributed ledger, identify earnings information associated with the sales of the commercial inventory, determine tax based on earning information, and pay the tax via fiat or cryptocurrency to government authorities based on earnings information.

The invention relates to the technical field of intelligent warehousing, and particularly discloses a warehousing inventory method, an inventory system, electronic equipment and an intelligent warehouse system.The warehousing inventory method comprises the steps that an inventory rule is configured, and whether current inventory is static inventory or dynamic inventory is judged according to the inventory rule; based on different inventory types, creating corresponding inventory tasks and issuing the inventory tasks; executing an inventory transportation task, and transporting the materials by the AGV according to a path planning method; after the AGV transports the materials to the inventory work station, manual inventory is carried out; checking whether all the inventory tasks are completed or not, and if not, continuing to execute the remaining inventory tasks; and if all the checking is completed, outputting a checking report and ending the whole checking process. According to the warehouse checking method and system, warehouse checking and path planning are effectively fused, the checking efficiency of the intelligent warehouse is improved, the path planning rationality of the intelligent warehouse AGV is effectively improved by using the ABC classification method and the priority avoidance principle, and the AGV utilization rate of intelligent warehouse checking is optimized.

A method comprises registering, by an application executing at a computer system in an inventory system, a tag identifier received from a tag in an inventory environment with location data indicating a location of the tag based on an audio attribute of an audio signal received from the tag, initiating, by the application, a scan of the tag to obtain tag data from the tag and to receive the audio signals from the tag by transmitting a signal to the tag after registering the tag identifier with the location data of the tag, and triggering, by the application, activation of an audio emitting device of the tag to emit an alert signal indicating whether a reader device is in a read range of the tag.

The method focuses on the non-standard warehouse checking problem in the warehouse logistics field. Aiming at the problems of low efficiency, poor accuracy and high labor cost of traditional manual checking and limitation of unmanned aerial vehicle checking in a non-standard warehouse, the invention provides a non-standard warehouse AI intelligent checking system. The system integrates robot / unmanned aerial vehicle automatic checking, AI algorithm and path planning, special scene processing and data acquisition and processing technologies. By customizing a robot chassis, a lifting device, an array camera, a multi-layer camera disc and other hardware and combining various AI recognition algorithms and path planning algorithms, efficient and accurate checking is achieved. The method has the advantages of improving the checking efficiency, improving the accuracy, reducing the labor cost, adapting to a complex environment, enhancing the reliability, facilitating algorithm iteration and deployment, being good in compatibility and high in expandability and the like, and an innovative and practical solution is provided for non-standard warehouse checking.

An inventory system comprises an antenna configured to emit interrogation signals in a first direction toward one or more tags, a reader device configured to receive data from the one or more tags, and a controller. The controller is configured to detect a trigger event occurring within an area including the antenna, cause an adjustment to at least one antenna setting of the antenna or at least one reader device setting of the reader device based on the trigger event and a policy associated with the trigger event, and instruct the antenna or the reader device to emit an interrogation signal in a direction of one or more tags and read data from the one or more tags in accordance with the adjustment to at least one antenna setting or the at least one reader device setting.

The invention discloses an intelligent warehouse checking method and system, and the method comprises the steps: combining a radio frequency identification unit with a visual detection unit through a radio frequency identification unit, the visual detection unit, a model building unit and a processing unit, obtaining the cargo stacking position information and the cargo stacking mode of a cargo pile, carrying out the modeling of the cargo pile through the model building unit, and carrying out the processing of the model building unit. The processing unit carries out information collection and comparison on the cargo models to realize cargo inventory, information collection of cargo inventory can be carried out through a combination mode of radio frequency identification and visual inspection, careful detection can be carried out according to the cargo stacking difference, and the cargo inventory efficiency is improved. The problem that in the prior art, a storage inventory system cannot timely identify an inventory error when coping with the inventory error is solved. Through a mode of combining the signal identification intensity and the three-dimensional spherical coordinates, the model is enabled to be combined with the three-dimensional rectangular coordinate system and the three-dimensional spherical coordinates at the same time, the single model construction element caused by using a single coordinate system is avoided, and the accuracy of model construction is ensured.

The invention discloses a storage material checking system, belongs to the technical field of intelligent storage and Internet of Things, and is used for solving the problem that an existing storage material checking method is difficult to give consideration to dual requirements of efficiency and credibility. The system comprises a sensing layer which comprises an RFID reader-writer network and is used for collecting material label data in real time to obtain real-time sensing data; the block chain layer comprises a BID identity authentication node which is used for generating a unique block chain identity label for the Internet of Things equipment and realizing equipment identity verification, and also comprises an intelligent contract engine which is used for realizing business rule verification; the co-processing layer comprises a double-chain data verification module used for comparing the real-time sensing data with block chain historical evidence storage data and generating a verification state, and further comprises an exception handling unit used for performing hierarchical response under the condition that the verification state is abnormal; and the application layer comprises a WMS interface and is used for synchronizing the material checking result with the warehouse management system. According to the system, efficient, accurate and credible warehousing material checking is realized.

An adaptive inventory management system for use in a materials handling facility storing a plurality of items that are each associated with a Radio Frequency Identification (RFID) tag. The management system including a global inventory database subsystem and a RFID interrogator subsystem comprising a plurality of RFID interrogators that are each configured to read the unique identifier of the RFID tag associated with each of the plurality of items that are within a defined boundary of at least one scan zone generated by the respective RFID interrogator and to communicate the unique identifier of the each scanned RFID tag identified within each scan zone of the respective RFID interrogator to the global inventory database subsystem. The management system being selectively configured to effect user desired levels of fidelity and / or resolution with respect to the generated unique identifier of each scanned RFID tag within a defined space of the materials handling facility.

Techniques for controlling motion of physical, moving devices within a robotic work cell of an inventory system are disclosed. A user device (e.g., a wearable device) can be used within the workspace to transmit wireless signals. One of these signals can be received by one or more receiving devices associated with the robotic work cell. A proximity monitoring engine can transmit notification data to a machine controller while the signal is being received. Transmitting the notification data may cause the machine controller to execute instructions to halt motion of the robotic device (and / or other moving devices associated with the robotic work cell). The devices of the robotic work cell may remain in a halted state while the signal continues to be received. When the signal is no longer being received, the devices of the robotic work cell may be instructed to resume motion.

An adaptive inventory management system for use in a materials handling facility storing a plurality of items that are each associated with a Radio Frequency Identification (RFID) tag. The management system including a global inventory database subsystem and a RFID interrogator subsystem comprising at least one RFID interrogators that are each configured to read the unique identifier of the RFID tag associated with each of the plurality of items that are within a defined boundary of at least one scan zone generated by the plurality of antenna that are coupled to the at least one RFID interrogator and to communicate the unique identifier of the each scanned RFID tag identified within each scan zone to the global inventory database subsystem. The management system being selectively configured to effect user desired levels of fidelity and / or resolution with respect to the generated unique identifier of each scanned RFID tag within a defined space of the materials handling facility.

The invention relates to the technical field of medical equipment management, and particularly discloses a first-aid trolley article checking system based on intelligent identification, an intelligent identification module is integrated with an image identification unit and a bar code / two-dimensional code identification unit, and the image identification unit establishes a medical article image database through a deep learning algorithm; identification of types, specifications and quantity of articles in the storage grids is realized; the latter scans and acquires information such as production date and validity period of the article. And the system processing module integrates the multi-source data, judges the quantity difference and the validity period state according to a preset rule, generates a visual inventory report and synchronizes the visual inventory report to a hospital information management system. And the alarm prompting module adopts an acousto-optic and wireless dual alarm mechanism to ensure that abnormal conditions are handled in time. The user interaction module supports touch screen operation and voice instructions, and the power management module provides dual-power switching and electric quantity monitoring. The checking efficiency and accuracy of the first-aid appliances are remarkably improved, the manual error rate is reduced, and intelligent management of medical resources is achieved.

An adaptive inventory management system for use in a materials handling facility storing a plurality of items that are each associated with a Radio Frequency Identification (RFID) tag. The management system including a global inventory database subsystem and a RFID interrogator subsystem that are configured to read the unique identifier of the RFID tag associated with each of the plurality of items and to communicate the unique identifier of each scanned RFID tag identified within each scan zone of the respective RFID interrogator to the global inventory database subsystem. The management system being selectively configured to effect user desired levels of fidelity and / or resolution with respect to the generated unique identifier of each scanned RFID tag within a defined space of the materials handling facility.

An adaptive inventory management system for use in a materials handling facility storing a plurality of items that are each associated with a Radio Frequency Identification (RFID) tag. The management system including a global inventory database subsystem and a RFID interrogator subsystem that are configured to read the unique identifier of the RFID tag associated with each of the plurality of items and to communicate the unique identifier of each scanned RFID tag identified within each scan zone of the respective RFID interrogator to the global inventory database subsystem. The management system being selectively configured to effect user desired levels of fidelity and / or resolution with respect to the generated unique identifier of each scanned RFID tag within a defined space of the materials handling facility.

An inventory system comprises one or more mini-cell sites, one or more reader devices to read tags, and a control system. The mini-cell site comprises radio equipment configured to broadcast power signals within an inventory environment. The control system transmits a first instruction to the mini-cell site to set a configuration parameter at the mini-cell site to a first frequency channel based on mini-cell site capability data and inventory environment data, and transmits a second instruction to the reader device to set a network setting at the reader device to a second frequency channel based on reader device capability data and the inventory environment data. The first frequency channel is different from the second frequency channel.

The invention relates to the technical field of inventory management, and particularly discloses a hotspot inventory return processing method, which comprises the steps of obtaining a set of commodity order operations, extracting a new reservation order and a cancelling order from the set to form subsets respectively, then setting authority according to an order state, and setting the cancelling order state as a to-be-added inventory state; in response to receiving an order inventory batch processing instruction, extracting a subset of cancelled orders marked as "to-be-added inventory"; based on the subset of the cancelling orders marked as "to-be-added inventory", calculating the total inventory amount which needs to be added, and carrying out inventory adding operation on an inventory system; finally, the state of each cancelled order in the subset of cancelled orders is marked as "increased inventory". Therefore, the operation of releasing the inventory is improved from one-by-one operation to batch operation, so that the lock preemption of the hotspot inventory is greatly reduced, and the order processing speed in a multi-order concurrent scene is greatly improved.

The invention discloses a warehouse data intelligent inventory system and method, the system comprises a warehouse intelligent system and a background server, the background server is used for loading a program to execute the following steps: obtaining the occurrence frequency of a first abnormal condition according to a set data statistics time period, the first abnormal condition is determined according to monitoring management data obtained from a warehouse intelligent system, and the starting time node of the data statistics time period is the ending time node of the last check work; determining a first inventory prompt value according to the occurrence frequency of the first abnormal condition; and when the first inventory prompt value is greater than the first early warning threshold value, outputting a first inventory early warning signal. By adopting the scheme of the invention, the timeliness and rationality of inventory work execution can be ensured, so that the accuracy of inventory work and the work processing efficiency are improved, and meanwhile, the increase of invalid operation cost is also avoided.

A method for optimizing order fulfillment in a warehouse by an online system. The system receives an item catalog from an inventory system, which includes item locations. The system also obtains a taxonomy that organizes items into hierarchical levels based on attributes. When an order is placed by a user, the system checks whether the item catalog contains location data for each item. If an item's location is missing, the system identifies alternative items from the taxonomy with shared attributes and uses the location of a selected alternative item as a proxy. The system determines a picking sequence for the items in the order, optimized to minimize travel distance within the warehouse, and transmits the sequence to a shopper's device for fulfillment.

The present application discloses a warehouse data intelligent inventory system and method, which includes a warehouse intelligent system and a backend server, wherein the backend server is used to load a program to perform the following steps: according to a set data statistical time period, obtaining the number of occurrences of a first abnormal situation, wherein the first abnormal situation is determined based on monitoring and management data obtained from the warehouse intelligent system, and the start time node of the data statistical time period is the end time node of the previous inventory work; determining a first inventory prompt value based on the number of occurrences of the first abnormal situation; and outputting a first inventory warning signal when the first inventory prompt value is greater than a first warning threshold. By adopting the solution of the present application, the timeliness and rationality of the execution of the inventory work can be guaranteed, thereby improving the accuracy of the inventory work and the work processing efficiency, while also avoiding the increase of ineffective operating costs.

1. The name of the design product: computer medical device intelligent dynamic inventory system graphical user interface. 2. The use of the design product: for running medical equipment inventory system program, displaying and interacting information. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best shows the design points: design 1 main interface enlargement. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: for intelligent inventory of medical devices. 7. The human-computer interaction mode of the graphical user interface: in the design 1 main interface enlargement, click "RFID tag replacement record" on the left to enter the design 1 interface change state diagram. In the design 2 main interface enlargement, click "inventory plan" on the left to enter design 2 interface change state diagram 1; in design 2 interface change state diagram 1, click "add" in the upper left corner to enter design 2 interface change state diagram 2. In the design 3 main interface enlargement, click "inventory task" on the left to enter design 3 interface change state diagram 1; in design 3 interface change state diagram 1, click "add task" in the upper left corner to enter design 3 interface change state diagram 2. In the design 4 main interface enlargement, click "inventory task" on the left to enter design 4 interface change state diagram 1; in design 4 interface change state diagram 1, click the task name corresponding to serial number 3 to enter design 4 interface change state diagram 2; in design 4 interface change state diagram 2, click "batch configuration room (position)" in the lower left to enter design 4 interface change state diagram 3. In the design 5 main interface enlargement, click "inventory task" on the left to enter design 5 interface change state diagram 1; in design 5 interface change state diagram 1, click the task name corresponding to serial number 3 to enter the design 5 interface change state diagram 2; in design 5 interface change state diagram 2, click "start inventory" in the lower right to enter design 5 interface change state diagram 3; in design 5 interface change state diagram 3, select the inventory car and click "OK" to enter design 5 interface change state diagram 4.