1351 results about "Market place" patented technology

A method and a system for providing at least one of a process automation and artificial intelligence (PAAI), a market aggregation, or an embedded marketplace relating to transactions are disclosed. In particular, a method and a system for automation of transactions in a transaction environment (e.g., marketplace or a set of marketplaces) are disclosed. A method and a system for managing transactions in a transaction environment (e.g., marketplace or a set of marketplaces) are disclosed. A method and a system for automating processing of transactions in a transaction environment (e.g., marketplace or a set of marketplaces) are disclosed. A method and a system for automated orchestration of a transaction environment (e.g., marketplace or a set of marketplaces) are disclosed. A method and a system for augmenting of services in a transaction environment (e.g., marketplace or a set of marketplaces) are disclosed.

The invention discloses a cross-platform power transaction data interaction optimization method, and particularly relates to the technical field of power transaction data digital twinning. Simulation transaction data of market participants is generated based on an antagonistic neural network model; identifying a causal relationship among market variables from the simulation transaction data of the digital twin through a causal discovery algorithm, and constructing a causal graph; modeling spatial dependence and causal conduction paths among market participants by using a graph neural network model, and performing anti-factual reasoning in a single external impact scene in a digital twinborn body by intervening key variables in a causal graph; simulating dynamic game behaviors of market participants in an extreme weather parameter distribution scene; the power market failure assessment is carried out by combining the causal conduction path to obtain the power market failure assessment index, and early warning is carried out based on the power market failure assessment index, so that the adaptability and stability of the power market in extreme weather scenes are improved.

A method of operating a gaming system may include receiving a plurality of orders. The method may include determining to accept the plurality of orders based on a validation process. The method include determining parimutuel pools associated with the plurality of orders. The method may include updating the parimutuel pools based on the plurality of orders. The method may include recalculating parimutuel odds for sets of selections for the parimutuel pools based on the plurality of orders. The method may include closing at least one parimutuel pool of the parimutuel pools to new orders. The method may include determining final odds for a set of selections for the at least one parimutuel pool and transmitting fixed odds to a wagering platform server when the at least one parimutuel pool will be paid out using fixed odds, wherein the fixed odds are determined based on the determined final odds.

The invention relates to the technical field of artificial intelligence, and discloses a multi-country compliance intelligent auditing method, device and equipment for cross-border e-commerce and a medium, and the method comprises the steps: obtaining the law and regulation revision frequency of each specified trade country; setting a regulation capturing period for a corresponding specified trade country according to the regulation revision frequency; based on the law and regulation capturing period of each specified trade country, obtaining a law and regulation text of each specified trade country; analyzing the law and regulation text by utilizing the semantic analysis capability of a preset large language model to obtain analysis content; constructing a structured knowledge graph based on the analysis content; and obtaining a trade text, and checking the compliance of the trade text based on the structured knowledge graph. The method has the beneficial effects that the method is helpful to quickly adapt to the regulation change of the global market, the violation risk is reduced, and the competitiveness and market adaptability of enterprises are improved.

Examples of agricultural management are described herein for analysis, prediction and forecasting using a system of platforms for providing guidance to more accurately manage agricultural processes, decision making, and procurement.

An AI-based automated pricing and inventory management system (100) for retail marketplaces, including: a data collection module configured to collect real-time data from sales transactions, competitor pricing, market trends, inventory levels, and customer behavior; an AI engine configured to process the collected data using machine learning algorithms for demand forecasting, price optimization, and customer segmentation; a price optimization module that is communicatively connected to the AI ​​machine and configured to dynamically adjust product prices based on demand patterns, competitive strategies and predefined business rules in order to maximize profitability and maintain competitiveness in the market; an inventory management module configured to predict optimal stock levels, generate replenishment alerts, and recommend inventory reduction strategies, thereby minimizing overstocking and stockouts; a dashboard interface configured to display actionable insights, pricing strategies, inventory levels, and key performance indicators in real time; an integration layer configured to interface with existing retail systems (100), including point-of-sale (POS), enterprise resource planning (ERP) and e-commerce platforms, enabling seamless operation and data exchange; the system dynamically coordinates (100) decisions on pricing and inventory management based on real-time data analysis, thereby improving operational efficiency, profitability and customer satisfaction.

Various aspects of a prediction market ecosystem are described for punters and market makers to speculate on occurrence and non-occurrence of future events by placing bets on operators that take bets within their jurisdictions and can buy other punters bets that are placed with other operators through an exchange server that matches and executes trade orders that also allows operators to participate on the exchange to manage their risks and records inter-operator transactions generated as the result of executing the trade orders.

The invention discloses an electric power capacity market clearing method and device considering flexibility. The method comprises the following steps: constructing an electric power capacity market clearing model considering flexible adjustment requirements of a system; performing dual change and linearization processing on the clearing model, and solving the model; carrying out capacity market pricing and settlement based on a solving result; wherein the step of constructing the power capacity market clearing model considering the flexible adjustment demand of the system comprises the following steps: determining a capacity demand curve which can adopt a variable resource demand curve; constructing a target function with maximization of social welfare as a target; determining capacity market clearing constraint conditions considering flexibility; according to the invention, the capacity value of the new energy can be priced and metered, and the new energy operation cost is reduced.

The invention discloses an enterprise micro-marketing auxiliary method and system based on a large language model. The efficiency and effect of marketing are improved by using the large language model. According to the method, by integrating a vector database, an embedded model and a context learning technology, the capabilities of real-time understanding of user intentions, personalized reply and quick service change adaptation are realized. The method has the core advantages of accurate user demand analysis, personalized service provision and efficient knowledge retrieval system. By analyzing user behaviors and dialogue records, product recommendation and marketing strategies according with user preferences can be provided. In addition, the method also has a real-time verbal skill updating capability, so that the timeliness and accuracy of information are ensured; the automatic order information extraction technology improves the information processing efficiency, and reduces the time and cost of manual operation. According to the invention, the marketing efficiency is improved, the interactive experience between the user and the customer service is enhanced, and competitive advantages are provided for enterprises in the market with intense competition.

The invention relates to the technical field of marketing, in particular to an advertising method and device for equipment sales based on artificial intelligence, and the method comprises the following steps: collecting social media behavior data and purchase records of consumers in a target market, and obtaining standardized consumer data through data cleaning and formatting processing; and performing user portrait analysis based on the standardized consumer data. According to the method and the device, the social media behavior data and the purchase record of the user are collected, and data cleaning and formatting processing are combined, so that the user portrait construction is more dynamic and accurate. Consumer subdivision not only depends on basic demographic information, but also introduces purchase frequency, interest labels and historical interaction behaviors to form more hierarchical user classification. Advertisement content adjustment is not limited to static text optimization, and visual elements, language styles and information presentation modes are dynamically adjusted according to sentiment analysis results, so that the content better fits preferences of different consumer groups.

The invention provides a bidding method for virtual power plants participating in a joint market based on a master-slave non-cooperative game. The bidding method comprises the following steps: constructing a double-layer game framework in which multiple virtual power plants participate in a day-ahead joint market; carrying out Wasserstein distance uncertainty modeling on the wind power, the photovoltaic power and the electric load power; based on the multi-source load power uncertainty set, an upper-layer multi-virtual power plant two-stage distribution robust bidding model is constructed, and the bidding model comprises a first objective function with the minimum sum of pre-scheduling cost for making a bidding strategy in a day-ahead stage and rescheduling cost expectation in an intra-day stage and a corresponding first class of constraint conditions; constructing a lower-layer joint market clearing model; the clearing model comprises a second objective function with the minimum day-ahead electricity-peak regulation-hydrogen combined market energy purchase cost and a corresponding second class of constraint conditions; performing equivalent conversion on the bidding model and the clearing model; and solving the converted bidding model and the converted clearing model to obtain a bidding strategy.

The invention discloses a purchase management decision support system driven by an AI large model, and particularly relates to the technical field of intelligent purchase management. A data acquisition module obtains historical and current purchase, market price, inventory, sales and customer feedback data of commodities; the clustering analysis module divides purchasing groups based on inventory states and market prices; the self-portrait construction module generates a comprehensive self-portrait through client feedback data; the market analysis module analyzes sales data and predicts future demand changes; the optimization adjustment module optimizes the purchase quantity in combination with demand prediction, customer preferences and purchase group data, so that the accuracy and efficiency of purchase decision making are improved; through intelligent data processing and model prediction, the limitation of dependence on experience and static rules in traditional purchase management is avoided, fluctuation of market demands can be responded in real time, the purchase quantity is ensured to be matched with the market demands, inventory overstock and shortage phenomena are avoided, and customer satisfaction and market competitiveness are improved.

Systems and methods for optimizing the combination of products and services a business offers to customers, identifying a combination of top markets a business offers to customers for growth opportunities, and optimizing advertisements. In one implementation, the disclosed system includes at least one processing device and at least one non-transitory memory containing software code configured to cause the processing device to: gather customer data and financial institution data from a plurality of data sources; extract a plurality of customer behavior features and a plurality of financial institution behavior features; process the customer behavior features and financial institution behavior features using one or more trained foundation models; input the foundation model outputs and a plurality of goal inputs into a trained product model; and output a natural-language product response.

The invention discloses a marketing strategy optimization management system based on six elements of order transaction, and belongs to the field of communication management systems, in terms of data acquisition, multi-source comprehensive information collection enables enterprises to perceive consumer demands in all directions and no longer blindly grope, a dynamic feature modeling unit fuses various kinds of data into six-dimensional feature vectors, and the six-dimensional feature vectors are integrated into a database; multiple factors of commodities, users and festivals are balanced and considered, a solid foundation is laid for a marketing strategy, a commodity-festival-user ternary association graph constructed by a festival graph generation engine enables commodities to be pushed in a targeted manner, a personalized strategy is generated by an intelligent decision module, the matching degree of the commodities and consumers is improved, and the marketing efficiency is improved. The overall continuous feedback optimization mechanism of the system enables the marketing strategy to be like a continuously evolved life entity, can better adapt to the market change, and improves the sales probability of commodities.

The invention discloses a market violation behavior detection method based on multi-modal image-text fusion. The method comprises the following steps: acquiring text and image data of market business and market violation information as a basis; preprocessing the basic information to construct a market business violation detection data set; respectively extracting a text feature Ft and an image feature Fi of the data; performing feature self-enhancement and cross-modal alternative enhancement on the features of the text and the image through a feature enhancer of a mixed attention mechanism to obtain an enhanced text feature Ft'and an enhanced image feature Fi '; the original features and the enhanced features are input into a feature fusion device, feature fusion of Ft, Fi, Ft'and Fi 'is achieved through intermediate fusion and weighted fusion methods, and a final fusion feature Ff is obtained; and inputting the fusion features into a downstream illegal behavior detector for detection, and outputting a detection result. According to the method, association enhancement and fusion of intra-modal and inter-modal features can be realized by fully utilizing the relevance of texts and images, and illegal behaviors of information such as transactions, registration and records in market services can be more accurately judged and detected.

Computerized systems and methods are disclosed for automating Configure to Order (CTO) and Quote to Order (QTO) processes. Methods include receiving user inputs for desired product configurations, retrieving corresponding data from a bill of materials database, and calculating optimized pricing through intelligent rules based on real-time market data. Automated quotes are generated and transferred to orders in a vendor system, selected based on pre-set criteria like vendor reputation and delivery time. Validation steps reduce errors, and real-time reports are generated. The system integrates a Real-Time Data Mesh for data aggregation, a Single Pane of Glass User Interface for user interactions, and Advanced Analytics and Machine Learning Modules for implementing rule-based and learning algorithms. The system is accessible across various devices and standardizes data for uniform consumption, while also employing machine learning models to continually optimize processes. Notifications are sent to users upon successful execution of orders or completion of quotes.

A system implements an online marketplace through digital communications sessions with users and providers to match providers with available provider time to a consumer user requiring services of the provider with payment exchanged between the consumer user and the provider user. Market pricing for services are calculated based on a metric of demand. Digital communications sessions are delivered for a duration corresponding to the payment made. Fictional personas may be utilized, including those associated with an artificial intelligence.

To solve the problem of the restriction and efficiency of dialogue in the conventional market research method by providing a market research tool allowing a user interview by a chat with a feeling conducting a web questionnaire.SOLUTION: A system for providing a market research tool allowing a user interview by a chat with a feeling conducting a web questionnaire includes: means allowing dialogue with a user; means for achieving chat dialogue with a target customer by AI; and means for preparing and presenting a report.SELECTED DRAWING: Figure 1

Various embodiments described herein relate to providing and / or employing a system and a method for managing a plurality of market-based instruments in a facility. In this regard, emission factors corresponding to a plurality of assets in the facility are stored in an emission factor repository. As a result, total actual emissions corresponding to the plurality of assets is calculated based on the stored emission factors. Then the total actual emissions are compared with a carbon emission target, wherein the carbon emission target corresponds to a specific period. Furthermore, total emissions are predicted in the facility for the specific period based on the stored emission factors and a result of the comparison. Accordingly, the predicted total emissions in the facility is displayed via a user interface of a display device.

The invention relates to the technical field of electric power systems, in particular to an electric power spot market risk prevention and control method and system considering market subject behaviors. Acquiring operation data of generating capacity, electricity demand, market price and power grid state of the electric power spot market; on the basis of the acquired operation data, a coupling degree evaluation index and a stability evaluation index are introduced to carry out prediction and anomaly detection on a market trend, and influence factors of connection of a large-scale generator set and a small-scale power grid are particularly concerned; analyzing a market subject behavior pattern through transaction frequency, price volatility and market participation degree characteristic quantitative indexes, and identifying market manipulation and violation operation risks; market dynamics are monitored in real time, a risk threshold value is set, and an alarm is triggered when a risk index exceeds a set standard; early warning information of different levels is automatically sent out according to the risk degree, and corresponding countermeasures and suggestions are provided; and a supervision mechanism is helped to make a quick response through a visual interface.

The invention relates to the field of intelligent management, and provides a numerical control machine tool post-market service item management method and management system, which mainly divides service item management into pre-sales management, in-sales management and after-sales management, in customer feedback management of the after-sales management, a data set fed back by a customer is extracted, and the customer feedback management of the after-sales management is completed. Semantic understanding of the customer feedback is carried out by adopting a data processing algorithm based on deep learning, so that whether the user satisfaction is positive or negative is automatically assessed according to significant dynamic aggregation representation of a distribution field domain between customer feedback semantic features; and it can be ensured that interpretation and classification of client feedback have higher objectivity and consistency. And moreover, nuisance in customer feedback can be captured, and customer emotion and potential problems behind can be perceived, so that more comprehensive feedback analysis can be provided.

The invention relates to the technical field of big data intelligent decision making, and provides a household appliance commodity dynamic pricing system and method based on multi-source data fusion, and the system comprises a data collection server, a feature extraction engine, a model training cluster, and a strategy execution terminal. The feature extraction engine comprises a time sequence feature constructor used for generating sliding window statistics; the semantic analysis unit is used for analyzing a commodity detail page text description to generate a brand premium coefficient; and the image recognition module is used for predicting the willingness to pay by the user through the commodity main image quality score. Through collaborative design of the feature extraction engine and the model training cluster, the dynamic response capability and the data application depth which are deficient in a traditional pricing mechanism are realized, traditional household appliance merchants are assisted to adapt to market changes, the customer satisfaction and the market share are improved, and the survival and development of the merchants are guaranteed.

PURPOSE: To provide a market ordering system that provides excellent usability for people concerned in a market for enabling enhanced efficiency of overall distribution.SOLUTION: A market ordering system according to the present invention provides product information from a seller to a purchaser via each respective terminal connected to a server, and payment processing proceeds based on order processing of the purchaser. After the seller and the purchaser complete user registration in the ordering system via each respective terminal, the seller and the purchaser are registered as trading partners with each other via each respective terminal and the server, and after being registered as the trading partners, the registered trading partner and product information intended for the trading partner are displayed together on an order screen of the purchaser's terminal, and payment is made according to ordering operation on the purchaser's terminal for the product information from the seller registered as the trading partner.SELECTED DRAWING: Figure 1

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 provides a marketing information identification method and device based on vehicle positioning, equipment and a medium, and relates to the technical field of financial science and technology. According to the method, the parking characteristics and the parking information of the vehicle can be accurately obtained by obtaining the vehicle positioning data. By analyzing the vehicle parking characteristics, the vehicle parking information is identified, so that high-frequency parking points in the use process of the vehicle can be identified, and potential collecting and distributing places can be identified. A clustering algorithm is used to analyze the vehicle parking information, and the target distribution place with concentrated vehicle rental demands can be effectively identified. By identifying the target marketing object in the preset radiation range of the target distribution place, the potential customer group can be more accurately positioned, so that the identification accuracy and the identification efficiency of the marketing information are improved, the customer obtaining cost is reduced, more accurate market positioning and customer service are provided, the pertinence and the effectiveness of the marketing activity are enhanced, and the marketing efficiency is improved. And the marketing efficiency and the conversion rate are improved.

The invention relates to the technical field of image-text generation, and particularly discloses an electronic commerce platform commodity image-text content generation method and system based on AI, and the method comprises the steps: obtaining the multi-source data of an electronic commerce platform commodity, carrying out the feature extraction of the multi-source data based on an AI intelligent algorithm, and obtaining the comprehensive feature information of the commodity, the commodity comprehensive feature information comprises commodity selling point feature information, user preference feature information and market trend feature information, obtaining multiple layers of selling point feature data according to the commodity selling point feature information, and obtaining a commodity selling point evaluation value according to all the layers of selling point feature data. In the data processing link, after multi-source data is obtained, the comprehensive feature information of the commodity is deeply extracted by using the AI intelligent algorithm. Commodity selling points, user preferences and market trend characteristics are accurately extracted from commodity basic information, user evaluation data and market sales volume data, and one-sided cognition caused by insufficient data acquisition and analysis in a traditional mode is avoided.

The invention discloses a park source network load storage multi-agent transaction mechanism in a multi-element market, and relates to the technical field of power market transaction mechanisms. The method comprises the following steps: determining a game relationship between a park source network load storage multi-agent and each benefit agent; depicting an electric energy market transaction framework, an auxiliary service market transaction framework and a multi-market collaborative transaction framework; based on medium and long term market transactions, spot market transactions and auxiliary service market transactions, a park source network load storage multi-subject transaction mechanism under multiple markets is constructed. According to the park source network load storage multi-agent transaction mechanism under the multi-element market provided by the invention, multiple agents are introduced to participate in multi-element market transaction and collaborative operation, so that diversified supply and consumption of electric power in the park are realized, and the competitiveness and flexibility of the electric power market are promoted; meanwhile, through information interaction and collaborative transaction, balance and optimization of power supply and demand in the park are realized, new energy is utilized to the greatest extent, and sustainability and stability of a power system are improved.

The invention discloses a management method and system based on a customer life cycle, and the method comprises the steps: recognizing a high-potential customer group through market behavior data, combining a low-threshold conversion path, remarkably improving the first-time purchase conversion rate of potential customers, precisely positioning a high ROI channel through data burying point and attribution analysis, optimizing an advertisement putting strategy, and reducing the customer obtaining cost. By automatically triggering a guide course and real-time behavior information, the period from registration to first use of a new customer is shortened, core function advantages are highlighted, and cognition and trust of the customer to a product are quickly established.

The invention relates to a day-ahead electric power spot market clearing method based on quantum approximate optimization, and the method comprises the steps: building a day-ahead electric power spot market clearing model, and abbreviating the day-ahead electric power spot market clearing model; the abbreviated day-ahead electric power spot market clearing model is decoupled into a discrete variable model and a continuous variable model; the discrete variable model is quantized through a quantum approximation optimization algorithm, the unit start-stop state and the bid winning electric quantity of the day-ahead electric power spot market are obtained through continuous iterative optimization, and the node electricity price is obtained through solving partial derivative of a Lagrange multiplier objective function constructed in the solving process; and carrying out security check on the current clearing result of the electric power spot market, and carrying out market settlement after the requirement is met. The real-time performance and convergence of electric power spot market transaction are improved, the workload of workers in the electric power market is reduced, and a supporting effect is achieved for guaranteeing safe, stable, economical and efficient operation of the electric power spot market.

The invention relates to the technical field of information, and particularly discloses an online mall platform intelligent management method and system, and the method comprises the following steps: S1, constructing a data collection system, and obtaining platform operation data, user behavior data and external market data in real time; s2, acquiring historical sales data, analyzing the historical sales data by adopting a Prophet time sequence model, predicting a future sales trend and inventory requirements, and generating a dynamic replenishment suggestion; s3, optimizing inventory management through a dynamic programming algorithm, calculating an optimal inventory threshold value in combination with external market data, and performing automatic replenishment triggering; s4, establishing a user portrait according to the user behavior data, and generating a personalized coupon strategy based on a collaborative filtering algorithm; s5, dynamically matching the work order and the customer service according to a multi-attribute decision algorithm; and S6, storing quality assurance information, and ensuring non-tampering and traceability of construction time, material batches and technician ID data. Therefore, the operation efficiency and the user experience of the shopping mall platform are improved.