121 results about "Inventory management" patented technology

The invention relates to the technical field of information management, in particular to a material digital management system and method based on a cloud platform. The method comprises the following steps: acquiring material data; distributing a material storage space by using the material data; receiving an operation message of the storage space, and pushing the operation message to an inventory database; creating a circulation record table and an inventory state table; using the operation message in the inventory database to update a circulation record table, and recording circulation data; automatically updating an inventory state table according to the circulation data so as to determine the material inventory capacity; when the material inventory capacity is lower than or equal to a preset safety inventory threshold value, management early warning information is generated; and when the material inventory capacity is higher than a preset safety inventory threshold value, updating the management safety field of the inventory state table. The material inventory is monitored in real time based on the information management technology, the replenishment information is intelligently generated, inventory dynamic management is achieved, and the material management efficiency is improved.

The application belongs to the technical field of medicine inventory management, and particularly relates to a pharmacy medicine consumption prediction and replenishment system and method combined with prescription flow. The system comprises a collection and prediction module, a first replenishment module, a storage location optimization module, an updating module, a prediction correction module and a second replenishment module. Prescription flow is collected in real time and combined with historical consumption records, and time series analysis is used to predict medicine consumption trends. When the predicted value exceeds the storage location capacity threshold, the replenishment amount is adjusted through linear programming optimization. Then, the storage location information is integrated, and a dynamic simulation algorithm is used to verify and optimize the storage location allocation scheme. Real-time medicine shortage risk indicators are then combined, the replenishment priority is updated, and time series refined prediction and linear programming iteration are performed again until the final inventory recovery level is determined. The application effectively reduces the medicine shortage rate, improves storage location utilization efficiency and reduces operational confusion, significantly improving the accuracy and stability of pharmacy inventory management.

The application provides a coupon inventory management method and device, a storage medium and a processor. The method comprises the following steps: creating a new activity and generating corresponding activity inventory information; storing the activity inventory information in a database and caching the activity inventory information in Redis; generating a plurality of coupon information according to the new activity, and selecting a predetermined number of coupon information from the plurality of coupon information; storing the plurality of coupon information in the database and caching the predetermined number of coupon information in Redis; when a coupon is collected, obtaining coupon collection activity information, and obtaining the to-be-collected coupon information from the coupon information in Redis based on the coupon collection activity information, and updating the coupon information and the activity inventory information in Redis. The query dependence on the database is reduced, and the coupon collection efficiency is improved. The inventory information is conveniently managed uniformly, and the development of large-scale activities and multiple activities is facilitated.

This invention relates to the field of inventory management technology and discloses a cross-border e-commerce supply chain multi-platform collaboration and dynamic inventory forecasting management system. The system includes: a data acquisition unit that processes field formats, time granularity, and unit systems based on the heterogeneous data protocols of various cross-border e-commerce platforms, and indexes the processed data using timestamp numbers and platform codes; a structure fusion unit that resamples the data from each cross-border e-commerce platform based on the timestamp numbers in the acquired dataset, and merges records of the same product across multiple platforms based on the product code; a sequence parsing unit that segments the cumulative sales field according to the window span based on the fused structure matrix, and constructs a sequence feature chain based on the feature vectors of each segment; and a trend inference unit that performs difference calculations on the current inventory quantity based on the predicted sales quantity, and determines the replenishment quantity based on the result of the difference calculation. This invention ensures multi-platform collaboration and inventory adaptability to the market.

The application discloses a kind of inventory optimization methods of charging facility spare parts replacement cycle and failure rate analysis, and the core process of this method includes building data layer, multidimensional data is cleaned and optimized, to realize standardized storage;Based on the LSTM algorithm, a multidimensional linkage prediction model is built, the loss effect of design defects and environmental factors is quantified to optimize the model, and the accurate spare parts replacement cycle threshold and equipment failure rate are output;According to the flow properties of spare parts, a differentiated inventory management mode is designed, and the optimal management mode of slow-moving parts is selected;A full-cost quantification model is built to calculate the total cost and service level under each mode;Finally, with the goal of minimizing cost, an intelligent inventory control model is built, which dynamically outputs inventory warning thresholds, replenishment quantities and times;Through the algorithmization and parameter quantification of the whole process, the application realizes fine and intelligent management of inventory, significantly reduces operating costs and stockout risk, and improves the stability of charging facilities.

The present invention relates to an integrated system for tracking and securing high-risk medications, intended for use in clinics and hospitals. The system uses NFC chips, blockchain, and artificial intelligence. Each medication is equipped with a unique NFC chip containing encrypted information, enabling rapid and secure identification at each stage of the medication's lifecycle within the healthcare system. All transactions and transfers are recorded on a blockchain, guaranteeing data immutability and transparency. An artificial intelligence module analyzes the data in real time to detect anomalies or suspicious behavior, thereby strengthening security and regulatory compliance. This system aims to prevent misappropriation, abuse, and medical errors, while improving inventory management within clinics and hospitals.

This invention relates to the field of inventory management technology, and proposes a method and system for real-time monitoring of material inventory based on Internet of Things (IoT) sensing. The method includes: distributing personalized data collection strategies to IoT sensing nodes via a communication network of a central monitoring platform; performing differentiated processing on initial inventory sensing data based on these strategies to generate inventory status records; dynamically adjusting the reporting frequency of status priority tag sequences and sending the adjustment process and records to the central monitoring platform in real time; correlating and analyzing the inventory status records with real-time sensing signals to construct a multi-dimensional dynamic inventory ledger; comparing the real-time inventory quantity in the ledger with a safety stock threshold, and performing task analysis in conjunction with an anomaly triggering mechanism to obtain an adaptive task list. This invention can improve the real-time performance, accuracy, and adaptive efficiency of material inventory monitoring.

The application provides a system and method for multiple verification of the correctness of a pharmacy automatic dispensing medicine, which comprises an online order system, which analyzes received medicine order information to obtain detailed listed medicine names, quantities and other information in the order; an inventory management module, which is used for storing and managing comprehensive information of the medicine, while supporting querying of the medicine information according to the order demand and automatic updating of the inventory quantity after the medicine is delivered; an automatic dispensing equipment, which is integrated with a bar code scanning technology, an OCR identification technology, a visual sensor and a weight sensor, and automatically locates and sorts out the required medicine from the inventory according to the analyzed medicine information; and a multiple verification module, which is used for multiple verification in the whole process of medicine sorting. The application verifies the accuracy of the dispensing medicine through multiple progressive verification, effectively guarantees the accuracy of the dispensing, eliminates the safety hazards, realizes the full automatic dispensing of the medicine, and comprehensively controls the quality of the medicine.

This utility model provides an oil fume treatment device and an integrated stove, relating to the field of cooking equipment technology. The oil fume treatment device includes a smoke collection component, a smoke exhaust component, and a volute assembly. The smoke collection component has a smoke collection chamber and a first air outlet and a second air outlet communicating with the smoke collection chamber. The smoke exhaust component is disposed within the smoke collection chamber and has a first smoke exhaust channel communicating with the first air outlet and a second smoke exhaust channel communicating with the second air outlet. The volute assembly is disposed within the smoke collection chamber and is rotatably connected to the smoke exhaust component. The volute assembly has a volute outlet and a functional component. The oil fume treatment device and integrated stove provided by this utility model allow the volute assembly to rotate by manually driving the functional component, which can reduce the number of stock keeping units (SKUs) and lower the burden of inventory management.

This invention relates to a method for e-commerce inventory monitoring and sales optimization based on multi-category operational data, comprising: extracting consumer browsing, adding to cart, and purchase record behavioral data from the e-commerce platform database; obtaining a consumer preference quantification score based on the behavioral data; obtaining an inventory plan based on the consumer preference quantification score; simulating resource utilization under sales scenarios based on the inventory plan to determine final sales optimization parameters; and updating the e-commerce system configuration using the determined final sales optimization parameters to obtain a real-time inventory monitoring mechanism. This invention, through multi-dimensional data fusion and predictive models, accurately captures sales patterns and demand fluctuations, significantly improving inventory management efficiency and sales conversion rates, and providing intelligent decision support for e-commerce platforms.

A computerized method for training an artificial intelligence (AI) model for managing the inventory of consumables in an automotive body shop. The method includes: collecting a set of historical data from a database, a portion of which is related to the automotive body shop. The method further includes: applying one or more transformations to the set of historical data to create a modified set of historical data. The method further includes: creating a first training set including the modified set of historical data. The method further includes: training the AI ​​model using the first training set. The method further includes: collecting a set of current or predicted data related to the automotive body shop. The method further includes: using the trained AI model and the set of current or predicted data as input to the trained AI model to identify body shop consumables for ordering.

This application proposes a hotel inventory management method based on causal effect estimation, comprising: in response to a sell-out event of a target room type, acquiring a dataset related to the target room type; learning a multidimensional feature representation corresponding to the target room type from the dataset; estimating the target individual treatment effect corresponding to the target room type based on the multidimensional feature representation; the target individual treatment effect is the sum of the first individual treatment effect corresponding to the target room type and the second individual treatment effect corresponding to similar room types in the same region as the target room type; the first individual treatment effect represents the causal effect of the increase in inventory for the target room type resulting in successful booking of the increased inventory; the second individual treatment effect represents the causal effect of the increase in inventory for the target room type resulting in successful booking of similar room types; and executing the process of increasing inventory for the target room type if the estimated target individual treatment effect is not less than zero.

This application discloses an adaptive inventory management method and apparatus for multi-tenant environments. The method includes: receiving an inventory operation request from a target tenant, the request carrying a target tenant identifier and an operation type; obtaining a target control mode corresponding to the target tenant identifier, including a forced source mode, a weak source mode, and a source-and-no-source coexistence mode. The forced source mode allows the creation of documents associated with upstream orders, the weak source mode allows the creation of multi-source documents and automatically adjusts process nodes, and the source-and-no-source coexistence mode allows both source-based and source-less operations; adjusting the operation permissions of preset business process nodes according to the target control mode to obtain the target business process node adapted to the request; and updating the inventory status based on the operation type and the target business process node to obtain the inventory operation execution result. Using this application, the needs of medium-sized enterprises of different sizes and business models can be adapted to the differentiated requirements of two types of documents under multi-tenant environments.

This invention discloses a laboratory supplies management system and method. The system includes an order management module, a laboratory supplies management module, and an inventory management module. The order management module determines laboratory supplies order data and sends this data to the inventory management module. The laboratory supplies management module determines laboratory supplies usage data and sends this data to the inventory management module. The inventory management module determines inventory data, updates it based on order data after supplies are received, and updates it based on usage data after supplies are issued. This invention enables full lifecycle management of laboratory supplies from procurement, warehousing, use, circulation, and verification, improving management efficiency, standardization, and accuracy.

This application provides a list management method, apparatus, device, and medium. The method includes: first, acquiring multi-source sanctions list data; then, using multimodal feature fusion technology to extract text information from the multi-source sanctions list data to obtain text data; next, performing semantic standardization on entity representations in the text data, mapping entity representations to standard entities through semantic similarity matching; then, performing entity recognition on the standardized text data based on a semi-supervised model to obtain entity recognition results; further, using a graph-enhanced reasoning method to extract relations from the entity recognition results to obtain relation triples between entities; finally, constructing a knowledge graph based on the relation triples, and updating the knowledge graph using dynamic conflict correction technology. This method improves the accuracy of text extraction in complex scenarios and enhances the dynamic updating capability of the knowledge graph.

This invention relates to the field of smart property management technology, providing a closed-loop management method for property operation and maintenance tasks based on multi-agent collaboration. The method includes responding to property operation and maintenance requests and obtaining corresponding task work order information; decomposing the property operation and maintenance requests into tasks based on task dependencies using a coordinating agent, generating one or more sub-tasks, and distributing the sub-tasks to corresponding business agents for execution according to the execution order and resource usage relationships between them; receiving the task execution results returned by each business agent and coordinating resource allocation when different sub-tasks compete for the same target spare parts; and writing back the results to complete the closed-loop management of property operation and maintenance tasks. By coordinating agents to manage inventory, repair forecasting, work order analysis, and inspection forecasting, the method achieves intelligent task decomposition, dynamic management of spare parts, intelligent forecasting of repair work orders, proactive equipment inspection services, and dynamic procurement.

An inventory management method and a system are provided. An inventory management method according to one embodiment of the present disclosure is a method performed by a computing device, comprising: receiving a first request order quantity of a first logistics center for a product of a first inventory management unit and a second request order quantity of a second logistics center for a product of the first inventory management unit; receiving the storage capacity status of each of the first logistics center and the second logistics center and identifying the first logistics center whose storage capacity has been exceeded; subtracting a multiple value of the minimum transfer unit quantity of the product of the first inventory management unit from the first request order quantity and obtaining a first quantity; summing the first quantity and the second request order quantity and obtaining a second quantity that can be allocated to the second logistics center; and rounding the second quantity to a multiple value of the minimum transfer unit quantity and obtaining a final transfer quantity to be transferred to the second logistics center, wherein the second logistics center may be a logistics center whose storage capacity has not been exceeded.

The present invention relates to a commodity providing apparatus, a recording medium, and a commodity providing system. The present invention aims to notify a user of an inventory status or the like of a commodity at an accurate point in time. The present invention is a commodity providing apparatus capable of communicating with a terminal of a user. The commodity providing apparatus is provided with: a first category option prompting mechanism capable of prompting a plurality of first category options associated with a commodity group including a plurality of commodities on a terminal in a selectable manner by the user; and an inventory management mechanism managing an inventory status of commodities of the commodity group associated with each of the plurality of first category options; the first category option prompting mechanism confirming the inventory status of the commodities of the commodity group associated with the first category options each time a screen is changed, and prompting the inventory status of the commodities.

This invention relates to the field of fresh food supply chain pricing technology, and particularly to an AI-powered dynamic pricing and inventory coordination system for fresh food supply chains. The system includes: a data acquisition module for collecting relevant data from the fresh food supply chain via a data acquisition terminal; an AI pricing model construction module for iteratively training a fusion model and outputting fusion models with loss function values ​​below a preset value as AI pricing models; a pricing generation module for analyzing preprocessed data based on the AI ​​pricing model; a pricing and inventory coordination module for analyzing the inventory status of fresh food products; and an anomaly warning module for performing anomaly analysis on the operational status of fresh food products, generating warning analysis results when the anomaly analysis results meet preset warning conditions. This invention can achieve coordinated optimization of dynamic pricing and inventory management by combining real-time inventory status, freshness level, and supply and demand changes of fresh food products, thereby improving the response speed of the fresh food supply chain.

This utility model discloses a goods sorting device for warehouse material services, including a support frame. A transmission groove is formed on one side of the support frame, and a conveying mechanism is installed inside the transmission groove. A positioning rod is connected to one side of the support frame, and a sorting adjustment mechanism is installed on the surface of the positioning rod. A loading platform is connected to one end of the support frame. This utility model has the following advantages: the conveying mechanism enables automated transport of goods requiring sorting, and the sorting adjustment mechanism limits and blocks goods of different heights, achieving automated sorting and collection of various goods. This effectively improves the efficiency of warehouse goods sorting while reducing labor costs and effectively avoids errors that may occur during manual sorting, thus improving the accuracy of inventory management.

This invention discloses an inventory management method and system for a cloud-synchronized Netman shopping cart management system. The method creates a pre-occupancy pool in a Redis in-memory database, containing total inventory, available inventory, cart-occupied inventory, and order-locked inventory. Atomic inventory pre-occupancy operations are implemented using Lua scripts. When a user adds an item to their cart, the system reads available inventory, queries existing occupancy records, calculates the additional occupancy quantity, atomically updates the inventory pool fields, and writes the occupancy information. The system uses a Workerman timer to implement an automatic release mechanism after 1800 seconds, dynamically adjusting the release time based on the inventory occupancy rate. During checkout, the system uses Lua scripts to convert cart occupancy into order locks. This invention solves the performance bottleneck problem of inventory verification in high-concurrency scenarios, avoids overselling and inventory inconsistencies, reduces response time to milliseconds compared to traditional solutions, increases concurrency processing capacity by five times, and improves inventory utilization by 30%.

This application discloses a computer equipment information processing method, device, and system to solve the problems of low efficiency, inaccurate information, poor real-time performance, and cumbersome inventory management in computer equipment management. The method includes: in response to the access of an external device, a first computer obtains its unique hardware identifier and generates device binding data associated with that hardware identifier; the first computer collects its own hardware and software information, combines it with the binding data to generate device file data, and sends it to a second computer (server); the server establishes a device file associated with the first computer based on the file data. The system correspondingly includes modules for performing the above steps. This application achieves automated, accurate acquisition and centralized management of equipment information by automatically triggering information collection and binding through hardware devices, and supports rapid inventory management via mobile terminals using near-field communication technology, significantly improving the efficiency, accuracy, and real-time performance of equipment asset management.

The application discloses a kind of water-based paint intelligent warehousing's inventory management method and system, it is related to water-based paint intelligent warehousing inventory management technical field, including with batch identification to establish batch inventory data model, and the same batch inventory record is formed to specification identification, inventory quantity, quality state and process occupation state;Receive batch call request of production scheduling process or delivery process, and generate sampling state determination result according to batch inventory record;According to sampling state determination result, receive sampling result, and corresponding batch is switched to allow call state or blocked state;Recalculate multi-type inventory based on blocked state and process occupation state, obtain deliverable inventory and producible inventory;Future seven days demand and planned output are mapped to corresponding specification, combined with deliverable inventory, calculate seven days order fulfillment capability;When seven days order fulfillment capability is lower than future seven days demand, generate inventory emergency warning, and according to batch processing result, rewrite inventory state.

The application discloses a tail gate door lock mounting structure, comprising: an inner plate, a reinforcing plate, a mounting plate and a locking piece, the mounting plate is used for being connected with the door lock, and the locking piece is used for connecting the reinforcing plate and the mounting plate; wherein the inner plate is provided with a avoiding part at least at a position corresponding to the locking piece, and the normal projection of the end of the locking piece close to the inner plate on the inner plate is located in the avoiding part. The tail gate door lock mounting structure can not only reduce the weight of the tail gate, thereby improving the endurance performance of the vehicle, but also improve the versatility of the locking piece, reduce the types of parts, reduce the inventory management cost, thereby reducing the production cost and shortening the development cycle.

The application discloses a kind of supercritical foaming material classification inventory management method for electrical protection, belong to material intelligent warehousing technical field, specifically include: first, obtain the antistatic index of the supercritical foaming material to be handled, flame-retardant grade, compressive yield strength and thermal decomposition temperature four basic attribute parameters;Then the parameters are constructed as multidimensional feature tensor, mapped to the preset attribute space coordinate system, according to the coordinate distribution to generate target warehouse classification label, the tensor, label and material storage coordinates are associated and stored in the inventory database;Subsequently, receive target electrical component protection task instruction, extract the demand attribute threshold of antistatic, flame-retardant, compression and thermal stability, generate dimension-matched demand feature tensor and place in the coordinate system;Then calculate the space euclidean distance and the included angle cosine similarity of both;Finally, according to double-threshold comparison, the target multidimensional feature tensor is screened out, the corresponding discharge matching scheduling instruction is generated and sent to the inventory control terminal.

The invention discloses a cigarette material demand prediction and inventory optimization method based on a time sequence model. The method comprises the following steps: acquiring cigarette production multi-source data, and constructing a standardized data set in combination with derived feature data calculated based on the cigarette production multi-source data; inputting the standardized data set into a pre-trained time sequence model, and outputting probabilistic demand prediction results respectively corresponding to the plurality of quantiles; calculating a relative confidence interval width according to a probabilistic demand prediction result; generating a matched target inventory value based on a comparison result of the relative confidence interval width and a preset confidence threshold; according to the target inventory numerical value and the current inventory data in the cigarette production multi-source data, the replenishment amount of the cigarette materials is calculated, an inventory optimization instruction is generated to optimize the inventory, the balance between the inventory and the risk is achieved, the cigarette production continuity is guaranteed, the inventory overstock and the storage cost are reduced, and the cigarette production efficiency is improved. And the lean and intelligent level of tobacco material inventory management is improved.

The present invention implements inventory management suitable for selling catalog gifts through online gift services.　One embodiment provides an online gift device comprising one or more control units. The one or more control units: receive an order for a catalog gift from a giver terminal; generate a reception URL for a recipient to receive the catalog gift; check the stock quantity of each item included in the catalog gift when the recipient terminal accesses the reception URL; generate a reception screen indicating that items in stock can be received and items out of stock cannot be received; and cause the recipient terminal to display the reception screen.