20 results about "Product value" patented technology

The invention relates to the technical field of blueberry production, in particular to a blueberry sorting method, system and device and a storage medium. Real-time images of blueberries on a conveying line are collected through a preset period, and image segmentation is carried out to obtain subsets; analyzing the images in the subsets to obtain appearance features, and performing primary sorting based on the features to obtain a plurality of primary sorting subsets; then reflection spectrum information of the subsets is obtained, secondary sorting is carried out, and a plurality of secondary sorting subsets are obtained; recording transmission coordinates of the images in each secondary sorting subset, and generating a corresponding coordinate set; a plurality of parameters of the blueberries are calculated by utilizing the characteristics of size, color, surface defects and the like, the appearance quality is evaluated, refined grading is realized, grading is provided for deep processing or sales, the product value is improved, the subjectivity and inconsistency of manual sorting are reduced, and the efficiency and the accuracy are improved; the internal quality is detected by combining reflection spectrum information, and the diversified requirements of the market for the blueberry quality are met.

The invention relates to the technical field of ecological product values, and discloses an ecological product value realization path visualization method and system based on digital twinning, and the method comprises the steps: obtaining a to-be-evaluated ecological product set, and carrying out the following operations on each ecological product in the ecological product set: determining a production region group of the ecological products, sequentially extracting a production area from the production area group, and executing the following operations on the extracted production area: obtaining ecological monitoring data of an ecological product in the production area, calculating the ecological value of the product, obtaining an optimal sales area, determining a value realization path, and obtaining a value realization path group set corresponding to the ecological product set, and importing the value realization path set into a digital twinning module to obtain a visual model, and completing digital twinning-based ecological product value realization path visualization based on the visual model. According to the invention, the value realization path of the ecological product can be dynamically optimized.

A method includes: receiving a first product value; determining a cannibalization value based on at least one of experimental data and non-experimental data; generating a second product value by adjusting the first product value using the cannibalization value; determining a return value based on return data; generating a third product value by adjusting the second product value using the return value; determining a lifetime customer value based on at least the cannibalization value; generating a fourth product value by adjusting the third product value using the lifetime customer value; determining an organic rank value based on organic placement data and value of organic placement data; generating a fifth product value by adjusting the fourth product value using the organic rank value; generating, based at least on the fifth product value, an actionable report descriptive of an efficacy rate of a target product in a computer-networked marketplace.

This invention provides a method, apparatus, device, and readable storage medium for predicting the value of banking business, relating to the field of computer technology. The method includes: acquiring historical product data and demand analysis, whereby the demand analysis includes demand names, directories, associated systems, and demand rules; calculating a demand data set based on the historical product data and demand analysis, where each element in the demand data set represents the number of transaction demand modifications, the set of demand rules, and the transaction credit value corresponding to a transaction; establishing a mathematical model of product value based on the historical product data, using the demand data set as input, and solving the mathematical model to obtain a product value set, where each element in the product value set represents the number of product demand modifications, the proportion of new business rules, and the product credit value corresponding to a product; and calculating the product value prediction result based on the product value set. By establishing a value chain relationship between products and demands, the method quantitatively reflects the value attributes of a product, displays the direction of business changes and the quality of demands in real time, assesses the direction of business changes, thereby improving customer experience, reducing operating costs, and forming a positive cycle.

The embodiments of this specification provide a blockchain-based method and system for assessing product value, which can be used to perform product valuation while protecting user privacy. This method includes: a client submitting a target transaction to a blockchain network, in response to a user's query request for a target product, to invoke a product valuation contract. The target product is accompanied by a compensation agreement, and the target transaction includes the target product's product information and the user's user information. The blockchain network then executes the product valuation contract based on the target transaction. Based on the product and user information, the product valuation contract determines the user's valuation of the target product and provides it to the client. Optionally, the user information is encrypted, and the product valuation contract includes a private contract portion. The blockchain network can load the encrypted user information and the private contract portion into a TEE, decrypt the encrypted user information within the TEE, and execute the private contract portion.

The invention discloses a commodity selection method based on a preaggregation storage table, and relates to the technical field of data processing, and the method comprises the steps: S1, distributed data collection and storage, S2, multi-dimensional commodity value evaluation, and S3, customer group feature dynamic matching: according to customer grouping labels in the preaggregation storage table, constructing a customer group-commodity demand matrix, and S4, constraint optimization value maximization: establishing a mixed integer programming model, and taking a commodity estimation value and a matching degree as income variables. Through distributed data collection and storage, multi-dimensional commodity value evaluation and customer group feature dynamic matching, the effects of accurate commodity selection and personalized pushing are achieved, multi-source data are obtained in real time by using Kafka, commodities are accurately positioned to meet different customer group requirements, personalized pushing is achieved, the customer purchase conversion rate and satisfaction degree are improved, and the customer purchase efficiency is improved. Through multi-dimensional commodity value evaluation, constraint optimization value maximization and a dynamic re-optimization mechanism, the effects of efficient resource utilization and value maximization are achieved, and a scientific basis is provided for commodity selection.

An electronic device for assessing the value of a product, according to one embodiment of the present invention, may comprise a processor which: collects first control data according to the start of a first product; predicts the performance of each part of the first product corresponding to the first control data by using at least one first artificial intelligence model trained to predict the performance of each of a plurality of parts constituting a product on the basis of control data of the product; and predicts the price of the first product by using at least one second artificial intelligence model trained to predict the price of the product on the basis of performance data of each part of the product.

This invention discloses a high-value data mining method based on retail scenarios, belonging to the field of data mining technology. It includes parallel processing of original transaction records and customer trajectory data to extract two dimensions: product value and customer behavior. By constructing a cross-time, cross-category product value transmission link and quantifying customer behavior density and transition strength, the two are merged to form a multi-dimensional value field. A business focus, including rules such as value concentration thresholds, is injected into this value field to dynamically guide the aggregation direction of the data flow. Based on the guided data flow, the dynamic relationship network between customers and products is reconstructed. Through pruning and reinforcement operations, high-value data clusters are extracted, and these clusters are used as the core to iteratively evolve the final data pattern. This method effectively characterizes the dynamic value transmission process and can proactively focus the mining process according to business intent, thereby improving the accuracy and business orientation of pattern discovery.

The invention relates to a storage financial risk management and control method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: detecting whether each detained product value dimension of a target warehouse changes or not, each detained product value dimension being used for evaluating the value of a detained product in the target warehouse; if each detained goods value dimension of the target warehouse is changed, determining a changed target detained goods value dimension in each detained goods value dimension; and according to the target detained product value dimension, dynamically updating the current detained product value of the target warehouse, and managing and controlling the storage financial risk corresponding to the target warehouse in real time. By adopting the method, the accuracy and the real-time performance of storage financial risk management and control can be both improved.

The present application provides a method, apparatus, device, storage medium and product for pushing financial products, the method comprising: determining customer type information based on the questionnaire response information. Determining initial financial product information based on the customer type information. Obtaining an expected rate of return. Determining combined financial product information based on the expected rate of return and the initial financial product information; obtaining expected parameters. Determining product price change data based on the expected parameters, pre-stored product parameters and a pre-stored fractional Brownian motion model, and determining product value data based on the product price change data, expected parameters, pre-stored product parameters and a pre-built calculation model. Determining target combined financial product information based on the product value data, combined financial product information and expected rate of return, and pushing the target combined financial product information to a client. The method of the present application improves the transaction efficiency and transaction rate of financial products.

A method includes: receiving a first product value; determining a cannibalization value based on at least one of experimental data and non-experimental data; generating a second product value by adjusting the first product value using the cannibalization value; determining a return value based on return data; generating a third product value by adjusting the second product value using the return value; determining a lifetime customer value based on at least the cannibalization value; generating a fourth product value by adjusting the third product value using the lifetime customer value; determining an organic rank value based on organic placement data and value of organic placement data; generating a fifth product value by adjusting the fourth product value using the organic rank value; generating, based at least on the fifth product value, an actionable report descriptive of an efficacy rate of a target product in a computer-networked marketplace.

A method includes: receiving a first product value; determining a cannibalization value based on at least one of experimental data and non-experimental data; generating a second product value by adjusting the first product value using the cannibalization value; determining a return value based on return data; generating a third product value by adjusting the second product value using the return value; determining a lifetime customer value based on at least the cannibalization value; generating a fourth product value by adjusting the third product value using the lifetime customer value; determining an organic rank value based on organic placement data and value of organic placement data; generating a fifth product value by adjusting the fourth product value using the organic rank value; generating, based at least on the fifth product value, an actionable report descriptive of an efficacy rate of a target product in a computer-networked marketplace.

The embodiment of the invention discloses an information sending method and device based on a multi-level area terminal, equipment and a medium. A specific embodiment of the method comprises the following steps: in response to a received product value issuing request, obtaining a user information set, a product use level information set, a product generation value information set, a user team information set and a product use anomaly detection information set from a storage module; determining a product value information set corresponding to the user information set by using a calculation module; using a sending module to send the product value encryption information set to an upper-level area terminal; in response to determining that the auditing information characterizes correct, for each piece of user information, executing a sending step: generating value packaging information; and sending the value packaging information to a user terminal by using a sending module. According to the embodiment, the product value issuing related information can be accurately and efficiently encrypted and sent to the corresponding user based on interaction among the multi-level area terminals.

The invention discloses a metal product quotation method and system, and relates to the field of metal product quotation, and the method comprises the steps: obtaining a plurality of webpage segments related to the product value in a current metal product and a market similar product, and determining a plurality of first viewpoints based on text mining analysis according to the plurality of webpage segments; according to the plurality of first viewpoints, screening to obtain a plurality of feature categories influencing the product value of the current metal product; wherein the feature categories comprise product specifications, market similar product pricing and user satisfaction; based on word frequency analysis, according to the plurality of first viewpoints, determining association degrees of the plurality of feature categories; determining a prediction dependent variable group corresponding to the first factor according to the correlation degree, and determining a first quotation of the current metal product according to the prediction dependent variable group in combination with a multivariable quotation prediction model; wherein the first factor is determined based on a user's selection of the plurality of feature categories. According to the invention, the technical problem of insufficient quotation accuracy of existing metal products can be solved.

A method includes: receiving a first product value; determining a cannibalization value based on at least one of experimental data and non-experimental data; generating a second product value by adjusting the first product value using the cannibalization value; determining a return value based on return data; generating a third product value by adjusting the second product value using the return value; determining a lifetime customer value based on at least the cannibalization value; generating a fourth product value by adjusting the third product value using the lifetime customer value; determining an organic rank value based on organic placement data and value of organic placement data; generating a fifth product value by adjusting the fourth product value using the organic rank value; generating, based at least on the fifth product value, an actionable report descriptive of an efficacy rate of a target product in a computer-networked marketplace.

The present disclosure provides an information push method, apparatus, device and medium, which can be applied to the fields of big data technology and financial technology. The information push method includes: obtaining transaction difference data of a financial institution within a preset time period; analyzing the transaction difference data by using a difference analysis model to obtain product value type information, where the product value type information represents the type of reason causing the transaction difference of the financial institution; determining a target product according to the product value type information; obtaining attribute information of a target customer group from a customer database according to the target product, where the target customer group represents a customer group that meets a first preset condition among the customers who have traded the target product; inputting the attribute information of the target customer group into a feature extraction model to output customer feature information; determining a target customer according to the customer feature information; and pushing recommendation information about the target product to the target customer.

The present application provides a method, system and medium for processing information of online sales products on a platform based on AI, and belongs to the field of artificial intelligence and big data technology. The method includes: obtaining web platform information within a preset time period, extracting sales product crawling information, and then extracting product price information, product sales information, product inventory information and product evaluation information respectively, and processing them separately to obtain the product value preservation ability index, product sales ability index, product inventory guarantee ability index and product evaluation index, and finally processing them through a preset evaluation model to obtain the product competitiveness index, and compare the product competitiveness index with the preset competitiveness index threshold to determine whether the competitiveness index meets the requirements. The present application can automatically capture sales product information from the platform through AI combined with crawler technology, and quickly process and analyze the captured data, which greatly reduces the time and energy of manual collection and provides the platform with more accurate product competitiveness.

This invention relates to the field of ecological product value technology, and provides a method and system for visualizing the value realization path of ecological products based on digital twins. The method includes: acquiring a set of ecological products to be evaluated; performing the following operations on each ecological product in the set: determining a production area group for the ecological products; sequentially extracting one production area from the production area group; and performing the following operations on each extracted production area: acquiring ecological monitoring data of the ecological products in the production areas; calculating the ecological value of the products; obtaining the optimal sales area; determining the value realization path; obtaining a set of value realization paths corresponding to the ecological product set; importing the set of value realization paths into a digital twin module to obtain a visualization model; and completing the visualization of the value realization path of ecological products based on the digital twin based on the visualization model. This invention can dynamically optimize the value realization path of ecological products.

Embodiments of the present disclosure disclose a multi-level regional terminal-based information sending method, device, equipment and medium. A specific implementation of the method comprises: in response to receiving a product value distribution request, obtaining a user information set, a product use level information set, a product generated value information set, a user team information set and a product use anomaly detection information set from a storage module; using a calculation module, determining the product value information set corresponding to the user information set; using a sending module, sending the product value encryption information set to the upper-level regional terminal; in response to determining that the audit information is correct, for each user information, performing the sending step: generating value packaging information; using the sending module, sending the value packaging information to the user terminal. The implementation can be based on the interaction between multi-level regional terminals, and can accurately and efficiently encrypt and send product value distribution-related information to the corresponding user.

The application discloses a non-standard product visual identification and dynamic pricing-based agricultural product matching transaction system, comprising the following modules: an image acquisition module, which establishes a communication connection with a seller client and responds to an image acquisition operation initiated by the seller client; a visual identification processing module, which adopts a pre-trained deep learning model to accurately detect agricultural product quality indexes and convert them into quantifiable feature vectors, combines agricultural product standardization grades, generates a reasonable recommended price interval through a dynamic pricing model, and incorporates agricultural product quality decay rules under logistics time efficiency into the pricing consideration range to protect the reasonable rights and interests of both buyers and sellers, effectively realize the value of high-quality agricultural products, integrate multi-dimensional parameters through a matching transaction module, reduce ineffective communication and intermediate links, improve the transaction rate, retain unalterable whole-process transaction vouchers through a transaction arbitration module to efficiently resolve transaction disputes, constrain the behaviors of buyers and sellers, and maintain a fair and orderly transaction order.