7 results about "Product value" patented technology

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.

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.

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.

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.