35 results about "Product price" patented technology

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.

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.

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.

1. The name of the present design product: product display graphical user interface for electronic device. 2. The use of the present design product: an electronic device. 3. The design points of the present design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: design 1 front view. 5. The rear view, left view, right view, top view and bottom view of design 1-design 3 of the present design product are conventional designs, and the rear view, left view, right view, top view and bottom view of design 1-design 3 are omitted. 6. Design 1 is designated as the basic design. 7. The use of the graphical user interface: the interface of the present design product is used for product display. 8. The human-computer interaction mode of the graphical user interface: design 1 front view shows the product display graphical user interface. The design 1 front view interface shows a back button and a search button on the left side of the top of the interface, shows a shopping cart button, a share button and a more function button on the right side of the top of the interface, shows text information such as product name below the above-mentioned buttons, shows a product picture in the middle of the interface, shows two crossed waistbands below the product picture, shows service information of the product on the waistbands, shows a product price information box below the waistbands, and shows a like this product button and a join shopping cart button at the bottom of the interface. In the product price information box of design 1 interface, the actual price of the product, the original price of the product and the price information button of the product are shown on the upper left side of the product price information box, wherein the font of the actual price of the product is obviously larger than the font of other texts. The current expected total discount display box of the product is shown in the middle of the product price information box, and the current expected total discount display box of the product shows the current expected total discount of the product, the remaining time of the current expected total discount of the product, each sub-discount in the current expected total discount of the product and the discount information button of all sub-discounts in the current expected total discount of the product in turn. The product price information box shows the additional random discount of the payment method of the product and the information button of the additional random discount of the payment method of the product, and the discount obtained by other users after adding the product to the shopping cart and the information button of the discount obtained by other users after adding the product to the shopping cart. The user can click / touch the back button on the left side of the top of the interface to perform the back operation; the user can click / touch the search button on the left side of the top of the interface and input text to perform the product search; the user can click / touch the shopping cart button on the right side of the top of the interface to view the products in the shopping cart; the user can click / touch the share button on the right side of the top of the interface to share the link of the product; the user can click / touch the more functions button on the right side of the top of the interface to perform other function operations; the user can click / touch the price information button of the product, the discount information button of all sub-discounts in the current expected total discount of the product, the information button of the additional random discount of the payment method, and the information button of the discount obtained by other users after adding the product to the shopping cart in the product price information box to query the related information; the user can click / touch the like this product button at the bottom of the interface to mark this product as liked; the user can click / touch the add to shopping cart button at the bottom of the interface to add this product to the shopping cart. The design 2 main view shows the product display graphical user interface. The main difference between the design 2 main view and the design 1 main view is that the design 2 main view additionally increases the sales activity prompt, the sales activity remaining time, and the sales activity information button at the top of the product price information box below the waistband of the interface. The user can click / touch the sales activity information button to query the related information of the sales activity. The design 3 main view shows the product display graphical user interface. The main difference between the design 3 main view and the design 1 main view is that the design 3 main view uses the purchase more products to obtain discount display box in the middle of the product price information box instead of the current expected total discount display box in the design 1 main view. The purchase more products to obtain discount display box prompts the user to purchase more products to obtain discounts in the upper part, and displays the exceeding each specific amount to obtain additional discounts, the rounding button of the exceeding each specific amount to obtain additional discounts, and the information button of the all specific amounts to obtain additional discounts in the lower part. The user can click / touch the rounding button of the exceeding each specific amount to obtain additional discounts to round based on the specific amount; the user can click / touch the information button of the all specific amounts to obtain additional discounts to query the details of the all specific amounts to obtain additional discounts. In each view, each button in the interface is used for human-computer interaction and realizes the function.

The present invention relates to an automated order placement, payment, and shipping system for an online shop, and a method of operating an online shop for automated order placement, payment, and shipping. The automated order placement, payment, and shipping system for an online shop comprises: a product information providing unit for providing product information including product ship-from location information of sellers in different countries; a purchase request receiving unit for receiving, from buyers in different countries, product purchase requests including product ship-to location information; and a product overall payment processing unit which detects the need for international shipping on the basis of a match between the product ship-from location information and the product ship-to location information, calculates a total payment amount by adding shipping cost information to product price information, and executes an overall payment process. The present invention enables one-stop processing of order placement, payment, and shipping across different countries, and can streamline region-specific order processing processes by combining domestic and overseas orders together.

The invention discloses a price verification method, device and equipment based on identification of commodities of the same type and a storage medium, and relates to the technical field of commodity price comparison, and the method comprises the steps: obtaining heterogeneous commodity data of a plurality of suppliers; processing the heterogeneous commodity data to obtain standardized commodity data; performing multi-modal feature fusion on the standardized commodity data to generate a comprehensive feature vector corresponding to each commodity; calculating the similarity between the commodities according to the comprehensive feature vector, and clustering the commodities with the similarity greater than a similarity threshold value into a same-type commodity set; performing price comparison analysis on commodities in the same-type commodity set to obtain a reference price of the same-type commodity set; receiving a purchasing request, and determining a same-type commodity set based on the commodity identifier in the purchasing request; comparing the commodity price in the purchase request with the reference price of the same commodity set to obtain a verification result; and responding to a purchase request according to the verification result. According to the method, the accuracy of price comparison of the same commodity is improved.

1. The name of the design product: smart price tag (quick release type). 2. The use of the design product: used in market, supermarket, store and other occasions to display product price, product information, and play advertisement pictures and videos, etc. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: design 1 perspective view 1. 5. Design 1 is designated as the basic design.

The application belongs to the technical field of artificial intelligence, and discloses an insurance product price forecasting method, device, equipment and medium based on data mining, which is applied to the fields of financial technology and medical health. The method comprises the following steps: obtaining a historical insurance policy dataset; performing clustering analysis on the historical insurance policy dataset by using a clustering algorithm; based on the result of the clustering analysis, screening a feature set related to premium data from dimensional feature data and claim data, which satisfies a preset condition; constructing a price forecasting model according to the feature set; in response to a price forecasting request for a target object, obtaining enterprise attribute information of the target object and its associated historical business data; inputting the enterprise attribute information and the historical business data into the price forecasting model, and outputting reference pricing information of the target object. The application solves the problems existing in the prior art of insurance product price forecasting methods.

The invention provides a cross-platform framework-based cross-border e-commerce applet implementation method, system and device and a medium, and belongs to the technical field of mobile e-commerce, the method comprises the following steps: compiling a business logic source code based on a cross-platform application development framework to generate an applet code package; in the operation environment, the loading platform adapter accesses a native function of the current operation platform in the applet code package; driving a rendering engine to render the 3D commodity model in response to the commodity viewing operation of the user; in response to region setting and commodity selection operation of the user, driving a localization engine to execute localization processing of commodity information and commodity prices, and generating a localization order; sending the localized order to a server to execute fragmentation processing; and responding to a payment instruction of the user, driving a native payment control of the current operation platform, and selecting a payment channel for payment. According to the invention, multi-platform compatibility, 3D commodity display, localization and efficient order processing are realized, and user experience and business efficiency are improved.

The invention relates to the technical field of internet advertisement services, in particular to a time-sharing price adjustment method for agricultural e-commerce advertisements, which comprises the following steps of: periodically acquiring prices and inventory state indexes of similar agricultural products of main competitors; according to the method, the market competitive advantage index is established by periodically obtaining, comparing and analyzing the agricultural product prices and inventory levels of the competitor and our party, so that the advertisement bidding decision can respond to the instantly changing market supply-demand relationship and pricing game, and the traditional orientation mode only depending on wide user portraits is exceeded; meanwhile, the vitality of the advertisement creativity is diagnosed, the attenuation trend of the click rate is measured, the narrowing degree of user interaction behavior diversity and the saturation effect caused by repeated exposure of a single user are analyzed, and a multi-dimensional advertisement creativity attenuation index is constructed; and continuous investment on advertisements which have caused aesthetic fatigue of the user is avoided.

A product information processing method includes: acquiring information of a plurality of second products from at least one other product information system related to a target product information system; determining a plurality of same-model / similar-model product pairs by performing a matching determination between the plurality of second products and a plurality of first products in the target product information system; respectively acquiring price information of the first product and the second product in the product pairs, wherein the price information includes: respective product price information and logistics price information for sales to users in a plurality of destination countries / regions in a corresponding product information system; and providing comparison result information from a price comparison of the first product and the second product in the product pairs on a destination country / region dimension.

This application discloses a method, apparatus, storage medium, and electronic device for intelligent product guidance in an online shopping mall, relating to the technical field of intelligent product guidance. In the proactive guidance stage, the intelligent product guidance system ensures that recommended products quickly match user needs through rule matching and the collaborative work of an intelligent product guidance model. In the conversational guidance stage, the intelligent product guidance model processes the target products to obtain comprehensive factors such as similarity value, tag score, and price score, which are then used to recommend products to the user. During the recommendation process, not only is the matching of product descriptions with user needs considered, but also the relevance of product price and feature tags. By calculating the feature tag score, price score, and other comprehensive factors for each product, the products are comprehensively ranked, and finally, the product that best meets the user's needs is selected for recommendation. This achieves personalized and intelligent recommendation services, improving user shopping efficiency and the accuracy and relevance of product recommendations.

The invention relates to the field of air transportation, and discloses a method and system for integrating variable pricing and fleet allocation. The system comprises a demand and product price interaction module, a fleet distribution module and an income optimization module, and an integrated variable pricing and fleet distribution model (VPFAM) is formed by constructing an elastic product price demand function and combining a time-space network and deterministic linear programming (DLP) and a sales-based linear programming (SBLP) model. And solving the mixed integer nonlinear programming model by adopting a Frank-Wolfe algorithm and a variant thereof to realize synchronous optimization of flight capacity, seat allocation and product price. Experiments show that the method can significantly improve the income and profit of the airline company in different load scenes, is high in expandability, and is suitable for operation decision-making of airline companies of various scales.

We provide the system. [Solution] Means for receiving customer requirements, A means of searching for appropriate products from collected product information, past case information, and market information, A method for estimating the price of selected products and determining the optimal proposed price, A means of automatically generating a proposal based on customer requirements, selected products, and proposed price, A means of sending the proposal to the user, A system that includes this.

The invention provides a data processing method and device, electronic equipment and a storage medium, and the method comprises the steps: determining the basic price of a commodity in each sales region based on the cost, tax rate and profit rate of the commodity in each sales region; determining a sales volume adjustment coefficient based on the actual sales volume of the commodity in each sales region within the preset time interval and the preset sales volume of the commodity in each sales region; determining a price adjustment coefficient based on the basic price of the commodity in each sales region and the competitive product price of each sales region; and determining a target price of the commodity in each sales region based on the basic price, the sales volume adjustment coefficient and the price adjustment coefficient of the commodity in each sales region. Therefore, the basic prices of different sales areas are determined according to the market and platform differences of different sales areas, the target prices of different sales areas are further determined by referring to the historical sales volume and the competitive product prices, and accurate and dynamic pricing is realized.

Exemplary embodiments of the present disclosure are directed towards a system for scraping product prices, providing alerts for price changes and inventory status. The system includes a computing device with a user interacting module, allowing users to select products by entering names and preferences. The module transmits product details to a server over a network. The server comprises a data scraping module that receives the details and utilizes Selenium API and website API to collect and compare prices from multiple online sources, identifying the lowest price. The system generates alerts for the lowest price and inventory status, which are sent back to the computing device. The user interacting module allows users to view these alerts, accept or reject deals, and facilitates order placement and payment processing for accepted deals. If a deal is rejected, the system repeats the price comparison process and issues low inventory alerts if necessary.

The invention discloses a quotation subscription method and device, equipment, a storage medium and a product, and relates to the technical field of data processing, and the quotation subscription method comprises the steps: subscribing a product quotation from a message queue at regular time, and judging whether the product quotation is abnormal or not, the product quotation in the message queue is obtained by real-time sending based on a main quotation application and a standby quotation application, and the standby quotation application is used for supplementing the quotation of the main quotation application; if the product quotation is abnormal, a correct product quotation is obtained through reverse checking from a quotation application; and if the product quotation is not abnormal, reserving the product quotation sent by the main quotation application. According to the invention, when the product price acquired by the message queue is abnormal, the product quotation can be reversely checked from the quotation application, and the standby quotation application can supplement the quotation of the main quotation application, so that the problem of reliability of a quotation publishing and subscribing system caused by service interruption and quotation data can be avoided.

The invention discloses an O2O service product price adjustment method and system. The method comprises the following steps: acquiring basic information and a standard price of a service product; calculating a first price adjustment value based on a preset macroscopic sales area irrelevant to the user terminal equipment; acquiring real-time geographical location information of the user terminal equipment; based on the real-time geographical location information, analyzing at least one preset type of LBS dynamic factor; calculating a second price adjustment value based on the at least one LBS dynamic factor; on the basis of historical data reference of the supply-demand relationship, obtaining a time node influencing the supply-demand relationship, adjusting the price to maintain the balance of the supply-demand relationship, and determining the final price of the service product in combination with the standard price, the basic price floating value and the scenarized price fine adjustment value; and issuing the final price to user terminal equipment. According to the invention, by introducing the LBS dynamic factor, the accuracy, flexibility and intelligent level of O2O service pricing are improved.

By constructing a multi-source data fusion collection system and a dynamic feature engineering method, firstly, five-dimensional data such as user behaviors, competitive product prices and supply chains are collected in real time through a distributed crawler cluster; secondly, performing weighted processing on historical data by using a time decay factor, and constructing a demand price elastic coefficient and a competition sensitivity index; performing dynamic prediction through a three-layer hybrid model, and simulating a market game in combination with an adversarial training mechanism; and finally, generating a Pareto optimal solution set based on a four-dimensional objective function, and outputting a differential pricing strategy through a business rule engine, thereby solving the problem that a traditional pricing model is insufficient in response to dynamic factors such as market demand elasticity and user behaviors, and improving the pricing efficiency in combination with a hybrid machine learning model and a multi-objective optimization strategy. And the span of price adjustment from minute-level response to hour-level decision is realized.

We provide the system. [Solution] A means for receiving desired product information and location information obtained from the user, A means for collecting product price information from multiple sales locations based on the desired product information, A means for generating an optimal purchase plan considering the product price information and location information, A means of notifying the user of the purchase plan, A system that includes this.

The invention discloses a flow operation tuning method based on AI automation, and relates to the technical field of artificial intelligence and electronic commerce, and the method comprises the steps: building a dynamic pricing model based on user features, carrying out the scene recognition through employing the dynamic pricing model, and adjusting the price of a product according to a scene recognition result. According to the adjusted product price, defining a multi-target reinforcement learning environment; based on a multi-target reinforcement learning environment, constructing a multi-target balance decision model, and selecting a product optimal price adjustment strategy; and based on the product optimal price adjustment strategy, identifying the dynamic association between the user characteristics and the price sensitivity, and generating and executing a flow regulation and control instruction. According to the method, the analysis accuracy is improved through data preprocessing, the market response capability is enhanced through scene recognition and price adjustment, a multi-target reinforcement learning environment is finally defined to realize intelligent decision making, automatic adjustment and optimization of flow operation are realized, and the operation efficiency, the user experience and the enterprise income are improved.

To provide a product sales method that can reduce product delivery costs and product prices, and a system for achieving the product sales method.SOLUTION: This sales method includes: (1) receiving, from a user terminal of a user using at least one facility, an order / payment signal for ordering products placed in a storage unit at a server connected in communication with a storage unit placed in a space set up within the at least one facility where security against intrusion by unspecified persons is ensured; (2) after receiving the order / payment signal, transmitting an authentication code for unlocking the storage unit from the server to the user terminal; and (3) reading the authentication code with a reader provided in the storage unit or a reader connected in communication with the storage unit.SELECTED DRAWING: Figure 3

Examples are described that enable a sales notification application executing on the mobile device to provide an indication of a better price for a product. In the examples, product information may be obtained from product purchase receipts uploaded by mobile devices executing an instance of a sales notification application. Similarities may be determined between the product information received from each product purchase of the plurality of product purchases. The product information from each of the uploaded receipts may be aggregated based on the determined similarity between the product information. A selected product and a location at which the selected product has been purchased previously may be received for comparison to the aggregated information in a product purchase database. A comparison result may be output to the sales notification application. A payment card may be enabled to purchase the selected product.

The present application relates to the field of artificial intelligence, and proposes a kind of export sales order generation method, device, equipment and storage medium based on image, by obtaining the consumption image data of export sales object, based on consumption image data, using evaluation model to evaluate the consumption level of export sales object, determine target consumption level, obtain the product price information of product to be sold, and combine the preset price level division rule, determine the product price level of product to be sold, according to the target consumption level of export sales object and product price level, determine the first offer weight, according to the first offer weight and product price information, generate initial product offer, input initial product offer and trade image data into bill generation model, output export sales order for export sales object, according to the consumption level of export sales object, the price level of product to be sold by user, and corresponding regional factor, the offer information of corresponding product to be sold is obtained, increase the rationality of product offer.

This application provides a product price forecasting method, apparatus, device, and storage medium. The method includes: acquiring historical data related to product prices, wherein the historical data includes multiple feature data obtained from four key factors: supply, demand, macroeconomics, and natural environment; determining feature data that meets a preset time period from the historical data based on the optimal lag time corresponding to each feature data and the subsequent time period to be predicted; wherein the lag time is used to characterize the time delay of the feature data's impact on product prices; inputting the selected feature data into at least one pre-trained price forecasting model to obtain at least one corresponding predicted value, and determining the forecast result based on the at least one predicted value; capable of accurately identifying early indicators that have a significant impact on hog prices and improving the accuracy and efficiency of hog price forecasting.