94 results about "Product price" patented technology

The invention provides a commodity identification method and device, and the method comprises the steps: carrying out the multi-view collection and preprocessing, and constructing a second color image set and a depth image set; performing three-dimensional reconstruction and volume estimation based on the second color image set and the depth image set, and judging a commodity packaging form; extracting a commodity packaging semantic and price information area based on the second color image set, constructing a space-semantic joint code, and generating global packaging semantic features; based on the second color image set, a multi-view visual coding network is adopted, and a visual prediction SKU index is output; carrying out structure-semantic fusion modeling based on multi-source heterogeneous features, and outputting commodity category labels; and matching a commodity price based on the commodity category label, generating an interaction prompt sign in combination with a confidence threshold, and triggering interaction feedback. According to the invention, commodity vision, space and price activity information are fused, the identification accuracy and price verification intelligence are improved, and the method is suitable for the field of intelligent cashier and retail automation.

The invention provides an enterprise product pricing system and method based on hybrid multiple models, the pricing system comprises a support layer, a data layer, a model layer, a decision layer and an application layer, the support layer deploys a server and a storage device to provide underlying resource support for the system; the data layer completes data acquisition and preprocessing, deploys a distributed database, divides the distributed database into an original database module, a process database module, an achievement database module and a rule database module, stores data in a classified manner, deploys a block chain system and stores the data in a chaining manner; the model layer designs 11 product pricing models, calls data calculation of the data layer to output results respectively, and outputs final prices of products after weighted fusion by using a machine learning algorithm; the decision-making layer generates a product price report and formulates a final product price strategy; and the application layer displays the final pricing result for the user. According to the invention, flexible pricing decision is realized through enriching pricing models, the process is transparent and efficient, and price maximum rationalization of enterprise products under various market environment requirements is realized.

The invention discloses an enterprise risk self-diagnosis method based on big data, and relates to the technical field of data prediction.The enterprise risk self-diagnosis method comprises the steps that enterprise internal data and competitor external data are collected, and enterprise relative competitive advantages are evaluated regularly; predicting a product sales trend, and analyzing key factors affecting sales; a raw material and product price database is established, historical price changes are recorded, and the influence of the price changes on profits is evaluated; a risk trend is analyzed and predicted by using a time sequence, different responses are triggered according to risk severity, and key risk indexes are monitored in real time. According to the method and the system, the capacity of an enterprise for coping with uncertainty and emergencies is improved, the negative influence of risks on enterprise operation is reduced, and the enterprise can keep business continuity and stability through real-time monitoring and response.

The invention relates to the technical field of dynamic price adjustment of electronic price cards, and discloses a dynamic price adjustment strategy optimization method for electronic price cards based on machine learning, and the method comprises the steps: constructing a multi-source data sensing network, and collecting historical transaction data, competitive product price information and user interaction behavior data; generating a multi-dimensional composite feature set covering time, commodity attributes and market environment through feature engineering processing; training a dynamic price adjustment prediction model by using the feature set, and outputting an initial price adjustment strategy parameter table; calculating a strategy deviation value and triggering a correction mechanism based on sales data fed back by the electronic price tag in real time; and synchronizing the optimized price adjustment strategy to the electronic price card terminal, and updating the training sample library to continuously improve the model. According to the invention, data-driven intelligent price adjustment is realized, the accuracy, the real-time performance and the adaptability of a price strategy are remarkably improved, and the problems that a traditional price adjustment method is lagged in response and depends on artificial experience are effectively solved.

The invention relates to the field of electronic price tag management, in particular to an electronic price tag position identification method and system. The method comprises the following steps: acquiring real-time image data from a retail environment, and enhancing the image data through a multi-modal sensor to obtain a standardized image sequence; carrying out denoising, enhancement and quality optimization on the image sequence, extracting image features through a deep convolutional neural network, and generating an electronic price tag position candidate region; the real position coordinates of the electronic price tag are calculated in combination with the image space information, and the commodity price is synchronously updated; the updated electronic price tag position and price information are sent to a cloud computing platform for storage, analysis and management; based on real-time feedback and historical data, an image processing and position identification strategy is optimized through reinforcement learning, and adaptive adjustment parameters are generated. According to the invention, the position of the electronic price tag can be efficiently and accurately identified in a complex retail environment, real-time price synchronous updating is realized, and automation and accuracy are high.

The invention discloses an e-commerce intelligent operation management system and an ecological construction method. According to the invention, through mining and analyzing a large amount of user behavior data and market trends, accurate market positioning and strategic decision support can be provided for an e-commerce platform. By identifying the user behavior mode, predicting the sales trend and evaluating the marketing activity effect, the e-commerce platform is helped to optimize resource configuration, and the operation efficiency is improved. And the user portrait analysis sub-module constructs a detailed user portrait, so that the e-commerce platform can implement personalized marketing and service, and the satisfaction and loyalty of the user are improved. And the competitive product analysis sub-module monitors and analyzes products, prices, marketing strategies and the like of competitors to help the e-commerce platform to formulate effective competition strategies and maintain market advantages, so that the e-commerce platform can better understand the market and users, thereby making more intelligent decisions and improving the overall operation performance.

The invention is suitable for the technical field of enterprise decision management, and provides an intelligent decision method and system based on a large model, and the method comprises the steps: obtaining a decision target, and obtaining historical data according to the decision target; if the decision target is judged to improve the efficiency, obtaining a production demand, obtaining resource data and obtaining an existing process, analyzing the existing process according to the production demand and the resource data, and identifying unreasonable allocation of low-efficiency links and tasks in the existing process; if the decision target is determined to increase the income, obtaining an existing marketing strategy, analyzing the existing marketing strategy according to the existing product and the existing product price, and identifying whether the conversion rate of the existing marketing strategy reaches the standard; the method comprises the steps of obtaining an optimization result, obtaining an optimization qualified threshold value, comparing the optimization result with the threshold value, and judging whether optimization is qualified or not. The problems that a decision method cannot be provided according to a specific decision direction, improvement suggestions cannot be provided for an existing method, and meanwhile the effect of the decision method cannot be evaluated are solved.

A method of determining prices of products. Further, the method includes receiving, using a quantum processing device, price elasticity values associated with price points. Further, the price elasticity values correspond to products. Further, the method includes receiving, using the quantum processing device, cross-elasticity values associated with related product price points. Further, the cross-elasticity values correspond to a pair of products comprising a target product and a related product. Further, the method includes formulating, using the quantum processing device, an objective function based on all possible combinations of the price elasticity values and the cross-elasticity values. Further, the method includes performing, using the quantum processing device, a quantum optimization of the objective function. Further, the method includes determining, using the quantum processing device, an optimal combination of prices corresponding to maximizing a total volume and a total margin corresponding to sales of the products based on the quantum optimization.

The invention discloses a game commodity price information configuration method and device, equipment and a storage medium, and relates to the technical field of game design. The method comprises the following steps: acquiring a preset commodity price template; determining a to-be-set payment channel of a current to-be-configured game commodity, and positioning a matched price level corresponding to the to-be-set payment channel in a plurality of price levels of the commodity price template; and querying a channel support region of the to-be-set payment channel, obtaining a commodity region price corresponding to the channel support region in the matched price level in the commodity price template as a channel region price, and configuring the channel region price as a commodity channel price of the to-be-set payment channel of the game commodity. According to the scheme, through the automatic commodity price information configuration method, the consistency of price information configuration of each channel and region of the game commodity is realized, and the efficiency and the accuracy of the price information configuration of the game commodity are improved.

The invention belongs to the technical field of information management, and discloses a product price management method and device based on multiple dimensions, equipment and a storage medium. The method comprises the following steps: establishing an enterprise internal pricing rule special area, and storing a pricing rule through a database; performing authority management on the user based on role access control; performing real-time data docking with an external price data platform through an API interface to obtain the current network price of the product; providing a visual configuration interface for a user, and obtaining configuration parameters set by the user based on the visual configuration interface; and performing permission verification on the accessed user, and after the user permission verification is passed, calling a pricing rule according to a settlement mode selected by the user, and generating a collection supply price in combination with the current network price of the product and the configuration parameters. Through the above mode, the accurate product price can be obtained based on the real-time pricing rule, and the efficiency is improved based on automatic management.

The invention discloses an intelligent article selection and inventory dynamic management method for an e-commerce platform, and relates to the technical field of e-commerce. The intelligent article selection and inventory dynamic management method for the e-commerce platform comprises the following steps: acquiring internal transaction data and external environment data of the e-commerce platform; multi-source heterogeneous data such as order flow, user behaviors, competitive product prices and social media hot words are covered, rich and comprehensive information is provided for product selection and inventory management, a standardized feature matrix is generated through cross-modal feature fusion, features of different types of data can be better extracted and utilized, the availability of the data and the accuracy of decision making are improved, and user experience is improved. Based on the standardized feature matrix, the product selection and inventory joint decision is carried out, the inventory dynamic weight coefficient is calculated in consideration of the commodity life cycle stage, and the storage location allocation priority queue is generated in combination with the short-term sales prediction value, so that the product selection and inventory management decision is more scientific and reasonable and meets the actual business requirements.

To streamline a work for changing an article price at a shop.SOLUTION: The present invention is directed to an information processing system having a user terminal held by a user, and a server which can communicate with the user terminal. The user terminal has an acquiring unit for acquiring article information and term information relating to a validity period of an article from the article, and a display control unit for displaying, on a display unit, information including a selling price of the article acquired from the server. The server has a price determination unit for determining a selling price of the article based on the article information and the term information acquired from the user terminal, and a price information providing unit for providing the user terminal with the information including the selling price of the article determined by the determination unit.SELECTED DRAWING: Figure 1

The invention provides an electronic product purchase price analysis method, system and device and a medium, and belongs to the technical field of artificial intelligence and supply chain management. The method comprises the following steps: obtaining a product description, analyzing the product description through a multi-level product feature extraction mechanism, and generating a structured specification feature of a product; based on the structured specification features, analyzing historical data by using a price sensitivity analysis model to determine the weight coefficient of each specification feature on the influence of the price, and adjusting the weight coefficient according to the market event and the time decay factor; a weighted similarity matching algorithm is adopted to search for selected products in a historical product library, and price information of candidate products is acquired; and performing time decay weighted aggregation on the candidate products with the price conflicts, and determining product price information based on the updated price information. According to the method, the product features are extracted in a multi-level manner, the weight of each feature is dynamically generated, and matching is performed based on the multi-dimensional weighted similarity, so that the accuracy of price analysis is effectively improved.

The invention provides an improved LSTM (Long Short Term Memory)-based space zoning fast-sale product delivery strategy method, which belongs to the technical field of industrial big data processing and comprises the following steps: acquiring historical price data of fast-sale products; performing feature extraction on the historical price data of the fast-sale products by using a convolutional neural network (CNN) to form price feature data of the fast-sale products; residual error connection ResNet is utilized to enhance learning ability and stability of fast selling product price characteristic data; inputting the fast selling product price characteristic data into a long short-term memory (LSTM) network for training; establishing a CRL-Net fast selling product price prediction model; and outputting a fast selling product price prediction result. And carrying out reverse normalization processing on the fast-sale product price prediction result to obtain a final fast-sale product price prediction result.

Embodiments of the present application are a product cost prediction method, a model training method, an electronic device and a storage medium, which relate to the technical field of communication and can predict a predicted price value of a target product. The product cost prediction method comprises: determining input parameters of a product price prediction model corresponding to each production stage in M production stages of a target product based on the arrangement order of the M production stages; inputting the input parameters of each production stage into the product price prediction model corresponding to the production stage to determine a reference price value predicted by the production stage, so as to obtain a reference price value of each production stage in the M production stages; and determining a predicted price value of the target product based on the reference price value of each production stage in the M production stages.

The invention discloses an intelligent analysis system and method for market price estimation of products produced by an industrial enterprise, and the method comprises the steps: obtaining first public opinion data of the products at a plurality of collection times, the first public opinion data being data which is extracted from public opinion information of the products collected from a plurality of data sources and affects the price of the products; selecting second public opinion data of which the credibility meets the requirement from the first public opinion data; relates to the technical field of price prediction, and solves the technical problems that information sources of different prices of each material have different quotations due to different updating time nodes and the like, and the inaccurate quotation of the material easily affects the estimation of the product price. The data of one material is analyzed and compared through a plurality of data sources, and the first public opinion data is screened according to the credibility, so that the situation that the price difference given by the quoted data sources has a large change, and consequently, the estimation of the product price has a large deviation is avoided.

A downloadable e-commerce software plug-in is disclosed that enables customers to complete a purchase immediately while scheduling shipment of the purchased product for a future date selected by the customer. The system comprises a checkout interface configured to receive purchase requests, a scheduling module with a calendar interface allowing the user to choose one or more shipment dates, a payment processing module configured to process full payment and apply a consumer service fee at checkout separate from the product price, and a merchant dashboard configured to notify merchants of the purchase and batch shipments according to selected dates. The downloadable e-commerce software plug-in integrates with existing e-commerce platforms and provides merchants and customers with a secure, flexible, and seasonless shopping experience distinct from pre-order or layaway systems.

The present invention relates to a local sightseeing platform service system and, more specifically, to a local sightseeing platform service system using a local pass which analyzes and recommends a sightseeing area and a sightseeing course according to user information, enables users to purchase pass tickets, usable at affiliated businesses on the recommended sightseeing course, at prices lower than product prices, thereby ensuring visits from tourists to the local affiliated businesses and encouraging the tourists to purchase the pass tickets. In particular, the local affiliated businesses can enhance promotional reach at only a small cost by offering discounted products without incurring any additional advertising and marketing expenses. This local sightseeing platform service system using a local pass not only aids in the boosting of actual sales but also improves operational profits and system stability.

1. Name of the Design Product: Electronic Device with Graphical User Interface for Electronic Price Tag Management. 2. Use of the Design Product: For an electronic device. 3. Design Key Points of the Design Product: Lie in the graphical user interface design on the screen. 4. Picture or Photograph Best Showing the Design Key Points: Design 1 - State Change Diagram 1 of the Interface. 5. The electronic device of this design product has a conventional design, and other views are omitted. 6. Design 1 is designated as the basic design. 7. Use of the Graphical User Interface: The graphical user interface is used for managing all electronic price tags in the system to achieve real-time display of product price information on the electronic price tags. 8. Description of the State Changes of the Graphical User Interface: The main views of Design 1 - Design 4 are the login interfaces of the opened software. Enter the account, password, and server address in the main views of Design 1 - Design 4, and click the "Login" button to enter Design 1 - State Change Diagram 1 of the Interface; State Change Diagram 2 of Design 1 is the interface displayed after clicking the new icon "+" in the upper right corner of Design 1 - State Change Diagram 1; State Change Diagram 2 of Design 2 is the interface displayed after swiping left any store card in Design 2 - State Change Diagram 1; State Change Diagram 3 of Design 2 is the interface displayed after clicking the "Edit" icon in Design 2 - State Change Diagram 2; State Change Diagram 2 of Design 3 is the interface displayed after swiping left any store card in Design 3 - State Change Diagram 1; State Change Diagram 3 of Design 3 is the interface displayed after clicking the "Close" icon in Design 3 - State Change Diagram 2; State Change Diagram 4 of Design 3 is the interface displayed after clicking the "Close" icon again in Design 3 - State Change Diagram 3; State Change Diagram 2 of Design 4 is the interface displayed after clicking any gray store card in Design 4 - State Change Diagram 1; State Change Diagram 3 of Design 4 is the interface displayed after swiping left any gray store card in Design 4 - State Change Diagram 2; State Change Diagram 4 of Design 4 is the interface displayed after clicking the "Open" icon in Design 4 - State Change Diagram 3.

The present invention discloses a price comparison query method and system based on multiple suppliers. The method comprises: step S1: accessing the price query interface API corresponding to each supplier according to the definition mode of each supplier's price query interface API; step S2: querying the price of each supplier according to the query interface API, and merging the product strategy with the product price information returned by each supplier's query interface API, pricing the product strategy according to the pricing configuration table, and generating a pricing result; step S3: writing the pricing result back to a cache database; step S4: querying and returning the corresponding pricing data from the cache database according to the user's query request. The present invention not only improves the comparison efficiency and the real-time performance of obtaining advantageous prices, but also helps to enhance user satisfaction and loyalty.

1. Name of the product in this design: Price Lookup Tool. 2. Purpose of this design: This design is used to query product prices after being connected to electronic devices such as tablets and computers. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

A technique is disclosed for generating a retail forecasting model from product cluster-based estimated price elasticity values ​​and predicting the impact of price changes on demand for a set of products. The system generates cluster-based price elasticity values ​​for a set of products by applying a set of regression elasticity estimation algorithms to a set of product data and clustering the products based on product descriptions and estimated price elasticity values. This system generates a retail forecasting model using the cluster-based price elasticity values ​​of the products.

The present invention relates to a product price prediction method performed by a processor of a price prediction server, and the method comprises the steps of: receiving price inquiry data of a product from a customer device via a communication interface operably connected to the processor; generating multiple pieces of product condition data on the basis of multiple features predetermined for the product by using the price inquiry data; predicting a sales price per purchase date by inputting the multiple pieces of product condition data to a price prediction model that is trained to predict the sales price of a product per purchase date by using product condition data as an input; and providing, to the customer device, a price prediction service interface screen obtained by visualizing the sales price of the product into a graph over purchase dates.

This embodiment of the application discloses a method and system for product push based on big data. The method includes: obtaining a user's browsing history for a target product within a preset time period, wherein the browsing history includes at least one of the following: product brand, product specifications, product price, product evaluation parameters, and product browsing time; determining a target push parameter for the target product based on the browsing history; determining a target push content corresponding to the target push parameter; and pushing the target push content. The embodiment of the application can improve user online shopping efficiency.

A pull-up / chin-up instrument (1) comprises, as its main components, one support column (2) which is maintained in an erected state by being propped up between a ceiling surface (Sc) and a floor surface (Sf) of a house, and a pull-up / chin-up handle (3) fixed to an upper part of the one support column (2). According to this configuration, there can be provided a pull-up / chin-up instrument, which realizes a reduced installation space and a low product price. The pull-up / chin-up handle (3) is supported by the one support column (2) only. The support column (2) is preferably inclined with a predetermined inclination angle (θ) with respect to the direction of gravity. The main part of the support column (2) may include an upper pipe (11) on the side of the ceiling surface (Sc), a lower pipe (12) on the side of the floor surface (Sf) and a middle pipe (13) that is slidably fitted into the upper pipe (11) and lower pipe (12).

The invention discloses an airport product management method, electronic equipment and a storage medium. The method comprises the following steps: acquiring identifier information of a target aviation ticket based on order link information; searching whether a to-be-purchased product corresponding to the identifier information exists in the target departure system based on the identifier information; in response to a to-be-purchased product in the target departure system, calling a preset interface to obtain product specification information and product price information of the to-be-purchased product; and in response to the order generation instruction, generating a target product order based on the product specification information and the product price information. The technical problems of complex airport product management process and low efficiency caused by information separation between an official website of an airline company and a departure system in related technologies are solved.

The application is suitable for the cross-border e-commerce technical field, and particularly relates to a cross-border e-commerce full-automatic product selection and listing method, system and device based on multiple platforms, which comprises the following steps: obtaining target information; wherein the target information comprises a target region and a target platform; obtaining preselected product information based on the target information; wherein the preselected product information comprises at least one preselected product name; obtaining listing product information based on the preselected product information and the target platform; wherein the listing product information comprises at least one listing product information, and the listing product information comprises a listing product name, a listing product picture and a listing product price. The cross-border e-commerce full-automatic product selection and listing method, system and device based on multiple platforms can improve the problem that the analysis, product selection and listing are performed by manual work, the listing period is long, and it is difficult to capture dynamic market demand, which may miss the market opportunity.

The invention discloses an agricultural product price prediction system based on big data, and relates to the technical field of agriculture, the system constructs a price space vector field, effectively identifies an allocation mechanism between regions, calculates a driving factor, and calculates a global active index according to the allocation mechanism and the driving factor, and the module can evaluate the arbitrage opportunity between the regions in real time, so that the prediction efficiency is improved. The method comprises the steps that a global activity index is obtained, whether abnormal fluctuation exists in the market or not is judged through fluctuation of the global activity index, so that potential risks can be recognized in advance, a risk suspension instruction is triggered according to the fluctuation of the global activity index, and economic losses caused by excessive fluctuation of the market are effectively avoided; and the future transaction price of each market area can be predicted, dynamic correction can be carried out under the influence of actual market fluctuation and dispatching behaviors, and the interruption judgment module identifies the dispatching mechanism among the market areas again, so that prediction errors caused by information lag are reduced.

1. Name of the product in this design: Graphical user interface for electronic devices with intelligent generation of insurance product video content. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the graphical user interface: Used for intelligently generating video content related to insurance products. 6. Other situations requiring explanation are illustrated in the diagrams: The main view displays the overall steps for video generation, requiring only three steps: "Search Knowledge Base," "Generate Product Summary," and "Generate Video Script." Users enter the relevant product code at the bottom of the main view interface, which redirects to interface state diagram 1. Interface state diagram 1 displays the relevant product knowledge content, which users can browse. This interface also prompts the user that the product content summary question template is about to be displayed, redirecting to interface state diagram 2. Interface state diagram 2 displays the product content summary question template, where users can select preset product content tags (such as "Operating Platform," "Product Price," "Guarantee Liability," and other structured fields). After selecting, clicking "Generate Product Summary" at the bottom redirects to interface state diagram 3. Interface state diagram 3 displays the relevant product... In summary, users can browse the generated product summaries. This interface will also prompt users that a video script question template is about to be displayed, which will redirect to interface state diagram 4. In interface state diagram 4, users can select template fields for the video script question template, including "Digital Human Selection," "Duration Control," "Content Focus Selection," "Presentation Format," and "Number of Videos." Clicking "Generate Video Script" at the bottom will redirect to interface state diagram 5. In interface state diagram 5, users can regenerate the video script by sending a script modification command. In this interface, users can also click "Manual Edit" at the bottom, which will redirect to interface state diagram 6. In interface state diagram 6, users can check the video content through "Legal Proofreading" and manually modify the video content. After modification, clicking "Save to Script Library" at the bottom will save the modified video content.