72 results about "Product selection" patented technology

A system to personalize a shopping experience in a conversational commerce platform is disclosed. The system includes a processing subsystem having a user interface module for consumer input and an input conversion module that processes and translates this input using a large language model (LLM) engine. The engine module features a catalog facet creation module that structures product information, a facet enrichment module for detailed descriptions, images and buyers' profile, and a customer profiling module utilizing natural language processing to understand customer needs. An AI merchandising module presents optimal product facets to customers based on profiles and historical data. Additionally, a conversational commerce module facilitates product selection through guided conversations, while a personalization module tailors recommendations. The system also includes a data collection and analytics module for performance tracking and a training and optimization module for continuous improvement of the LLM.

The invention discloses an interactive commodity selection method and system based on augmented reality, and relates to the technical field of augmented reality interaction, and the method comprises the steps: obtaining the commodity three-dimensional information of a target commodity and the commodity attribute information corresponding to the commodity three-dimensional information; determining scene reference coordinates of the augmented reality scene and ambient light features matched with the scene reference coordinates according to the spatial perception data of the terminal device, and generating an augmented reality presentation object of the target commodity in the augmented reality scene; obtaining interaction behavior data according to the interaction action of the user in the augmented reality scene; performing association matching on the interaction behavior data and the commodity attribute information to generate a candidate commodity selection feature set; and according to a preset fusion criterion, performing fusion on the candidate product selection feature set to obtain a target product selection decision, and outputting interaction feedback information corresponding to the target product selection decision. According to the application, robust fusion and reliable decision of multi-modal interaction information are realized, and the accuracy and interaction consistency of an augmented reality product selection process are improved.

The invention relates to an e-commerce live broadcast intelligent item selection method and system. The method comprises the following steps: S1, constructing a multi-dimensional commodity selection criterion system, and collecting original data of a to-be-recommended commodity under each criterion; step S2, subjective weight calculation; s3, objective weight calculation; and S4, carrying out weight fusion and scheme evaluation. According to the method, weight quantification verification is performed through the analytic hierarchy process and the entropy weight method, and the fusion coefficient is dynamically adjusted in combination with the business scene, so that the problems of subjective experience contradiction, poor cold start adaptability and low decision transparency of traditional product selection are solved, and an experience quantification-data verification-weight fusion decision chain is formed; and finally, the product selection scientificity is improved, the scene adaptability is enhanced, and the decision transparency is improved.

The invention discloses an e-commerce platform product selection and pricing method based on multi-agent reinforcement learning, aiming at the game decision problem between an e-commerce platform and a supplier, a platform agent and a supplier agent are constructed, the platform agent uses a deep Q network DQN to learn a product selection strategy, and the supplier agent uses an Actor-Critic algorithm to learn a pricing strategy. Through Stackelberg master-slave game modeling, a platform is used as a leader to make a decision for selection, and a supplier is used as a follower to make a decision for pricing after observation. A state space (including commodity sales volume, inventory, user score, supplier fulfillment rate and the like), an action space (discrete commodity selection and continuous pricing) and a multi-target reward function (balance profit, user satisfaction, inventory turnover and the like) suitable for an e-commerce scene are designed. The strategies of the two parties are converged to game equilibrium through alternate training, and online continuous learning is supported to adapt to a dynamic market environment. Experiments show that compared with an existing method, the method has the advantages that the overall income can be improved by 18-30%, the win-win situation of the platform and the suppliers is achieved, and the blank of multi-agent reinforcement learning in e-commerce product selection and pricing scenes is filled.

Provided in the embodiments of the present disclosure are a product information generation method and apparatus, and a device and a computer program product. The method comprises: acquiring a generation request for product information, wherein the generation request at least comprises a category description corresponding to the product information, and at least one knowledge item description; on the basis of the category description and at least one knowledge item description in the generation request, determining a product category that matches the generation request, and a concept attribute under each knowledge item under the product category; on the basis of the product category and the concept attributes, performing product selection analysis, so as to obtain preliminary product information, wherein the preliminary product information at least comprises a recommended product corresponding to the generation request, and a user profile corresponding to the recommended product; and on the basis of the preliminary product information, generating product information corresponding to the generation request, wherein the product information at least comprises description information of a product and promotional copy for the product. The embodiment not only reduces manpower and material resources required for generating product information, but also improves the quality and efficiency of product information generation.

The invention discloses a commodity information display method and device, a commodity information acquisition method and device, electronic equipment and a storage medium, in the commodity information display method, to-be-combined commodity information and combined commodity summary information are acquired, and then a to-be-combined commodity selection trigger control and a plurality of combined commodity selection trigger controls can be displayed on a to-be-combined commodity detail page. The combined commodity selection trigger control at least displays a thumbnail of a combined commodity main image and combined commodity selection cost information, and the to-be-combined commodity selection trigger control at least displays a thumbnail of a to-be-combined commodity main image; therefore, style information and purchase cost information of selectable combined commodities can be conveniently checked on the to-be-combined commodity detail page, style information of selectable to-be-combined commodities can be checked at the same time, and a user can conveniently decide whether to select the combined commodities or not based on a combined commodity selection trigger control and a to-be-combined commodity selection trigger control. And thus, the purchasing efficiency of the multiple commodities is improved.

1. The name of the design product: financial product transaction selection graphical user interface of electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: the interface content of the graphical user interface in the electronic device. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: the graphical user interface is used for users to select the transaction product when conducting financial transactions, and displays the brief information of the financial transaction product. 6. The human-computer interaction mode of the graphical user interface: the front view is the structural bill product selection interface of the financial transaction platform, and the interface displays product brief information. The user clicks the product brief information card in the interface to select the corresponding product for transaction. The user slides the front view interface curtain upwards, and the interface changes to the interface change state view. The interface displays pre-sale product information. XXX in the interface represents the text content.

Computer-implemented manufacturing and sales strategy planning process that includes: a reserve production capacity determination step to determine, based on information related to a sales plan of a multitude of products and a production capacity of a production plant to produce each of the multitude of products, whether a reserve production capacity of the production plant exists in relation to the sales plan for each of the products; an improvement effect calculation step for applying one of a variety of profit improvement strategies according to the availability of reserve capacity to each of the products for which the availability of reserve capacity was determined in the reserve production capacity determination step, and calculating an improvement effect for each of the products to which each of the profit improvement strategies was applied; a product selection step to select, based on each calculation result obtained in the improvement effect calculation step, a specific product from the multitude of products on which the improvement effect has exceeded a set value in connection with each of the multitude of profit improvement strategies; an element extraction step to extract for each of the profit improvement strategies of an element that meets a limiting sales or production condition of the specific product, which is set in the product selection step, and which produces the specific product; and a manufacturing and sales strategy selection step for planning a manufacturing and sales strategy in relation to the elements extracted in the element extraction step, and selecting one or more specific element strategies based on the improvement effect, wherein a supply and demand plan is simulated by reflecting on the improvement effect of the selected strategy, and whereby Each calculation result obtained in the improvement effect calculation step is displayed or output by means of a display unit (50), wherein the display unit (50) presents the user with the improvement effect based on the content of the manufacturing and sales strategy of each element in order to promote user consensus based on objective evidence, wherein The computer-implemented manufacturing and sales strategy planning process further includes a step to simulate a strategy scenario pattern by setting parameters by the user, and wherein The display unit (50) shows a quantitative estimate result for the user's decision-making process.

A product dispensing machine includes a user interface configured to receive user selections and to present user selectable options. The product dispensing machine also includes a controller configured to control the user interface to present user selectable options in order of priority. The controller is configured to aggregate the user selections and to dynamically adjust the priority of the user selectable options based on the aggregated user selections.

The invention discloses a commodity recommendation method and system, a storage medium and electronic equipment, and the method comprises the steps: obtaining the multi-modal data of a to-be-recommended commodity, and carrying out the normalization and feature extraction processing of the multi-modal data, so as to obtain the features of the multi-modal data; determining a data change feature and a user preference evolution feature according to the multi-modal data feature, and fusing the multi-modal data feature, the data change feature and the user preference evolution feature through a preset fusion mode to obtain a fused feature vector; determining a profit rate prediction value of the to-be-recommended commodity in the target scene according to the fusion feature vector and the multiple scene labels; and determining a target commodity combination according to the profit rate prediction value and a preset constraint condition. According to the method, by obtaining the multi-modal data and integrating and fusing the multi-modal data, the problem that product selection prediction and actual requirements are disjointed due to a single data dimension is solved, and thus the product selection accuracy is improved.

The present disclosure provides a regional supply object screening method, device, equipment and medium, the method comprises: obtaining a trained target regional supply object screening model of a target supply region; obtaining a candidate supply object of the target supply region, and based on the target regional supply object screening model, obtaining a predicted allocation rate and a predicted supply amount of the candidate supply object in the target supply region within a predicted time range; and screening a target supply object of the target supply region from the candidate supply object according to the predicted allocation rate and the predicted supply amount. The adaptation degree between the target supply object and the target supply region is improved, the waste of the product selection quota of the target supply region is avoided, the screening efficiency of the target supply object of the target supply region is improved, the possibility of the target supply region achieving the category operation target of the headquarters is improved, and the product selection method and product selection effect of the offline store as the target supply region are optimized.

To prepare a shelf allocation pattern which makes the best use of the experience of a person in charge of shelf allocation and does not give an unnatural feeling by using a general information processor.SOLUTION: In this shelf allocation pattern automatic preparation method, the shelf information and merchandise information of an existing shelf allocation pattern and a shelf allocation pattern to be prepared (called preparation pattern) are inputted to an arithmetic means, the automatic preparation processing of the shelf allocation pattern is performed, and the preparation pattern is outputted. The input data to the shelf allocation pattern automatic generation processing includes information on a commodity group (referred to as a minimum granularity continuous commodity group) included in the same attribute of the lowest layer when commodities are classified into a hierarchical structure by attributes in the existing shelf allocation pattern and continuous in one stage of the shelf, and the attribute arrangement processing for arranging the commodities according to the hierarchical structure of the attributes of the commodities and the commodity selection and arrangement processing for selecting and arranging the commodities in the lowest layer attribute are performed. In the commodity selection and arrangement processing, commodities included in the minimum granularity consecutive commodity group are continuously arranged in one stage of the shelf.SELECTED DRAWING: Figure 1

The present disclosure provides a combination product selection method, system and electronic device based on the FP-Growth algorithm, applied to tourism commodity combination recommendation, by obtaining historical tourism order data, and preprocessing the historical tourism order data, the same attribute tourism commodity item is classified into the same preset tourism commodity category, and a shopping basket data set is generated; the minimum support threshold and the maximum combination length threshold are set, based on the minimum support threshold and the maximum combination length threshold, the candidate frequent item set is obtained from the shopping basket data set according to the FP-Growth algorithm; the association of the tourism commodity combination in the candidate frequent item set is evaluated, and the target tourism commodity combination is selected. In this way, the error caused by subjective misjudgment is avoided, the product selection decision is more scientific and objective, and the "real commodity association" and "random co-occurrence of popular commodities" are effectively distinguished, which can accurately mine the potential demand of users and improve the user experience and satisfaction.

We provide a trademark support system suitable for selecting goods or services. [Solution] The trademark support device 100 includes first to third product selection processes. Users can select and use the functions related to the first to third product selection processes from a menu. In the first to third product selection processes, based on information from a common product list, if the relevant product (service) is registered in the product list, the corresponding product selection checkbox is checked when the product (service) is displayed. This allows the user to select a product (service) from the display results obtained by the other functions, taking into account the product (service) obtained by one of the functions related to the first to third product selection processes.

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

An object of a system according to an embodiment is to confirm an environmental influence due to a purchase activity of a user and to promote product selection in consideration of sustainability.SOLUTION: A system includes an environmental influence confirmation part, a point use part, and a recommendation part. The environmental influence confirmation unit confirms the environmental influence due to the purchase activity of the user. The point using section uses the points obtained in the transaction to purchase the eco-friendly commodity. The recommendation unit recommends a product selection in consideration of sustainability.SELECTED DRAWING: Figure 1

The application relates to the technical field of artificial intelligence, and discloses a method, device and system for product selection scheme generation and a storage medium. The method comprises the following steps: performing semantic analysis on current product demand information, and extracting a current demand vector, wherein the demand vector comprises fields corresponding to one or more element information in a scene label, a technical parameter list, a constraint condition key-value pair and a regional adaptation requirement; based on a large language model, a current demand vector is disassembled according to a thinking chain guide mechanism, and a corresponding current product selection scheme component list is obtained, wherein the component list comprises one or more of function information, technical parameter information and adaptation standard information of each component; current product information matched with the current product selection scheme component list is searched from a set product database, and a corresponding structured current product selection scheme is generated. In this way, a complete scheme covering "architecture-product-guarantee" is generated, which is suitable for the demand of Chinese industry cooperation in overseas market.

A valid combination of products is constructed from a set of products identified by a retailing backend system. The valid combination satisfies a condition of an offer. A product in the combination of product is a physical product located in a physical store. A social sentiment towards the product in social media data of a shopper is evaluated, and a rating of the product is computed using the evaluation. A location of the product in the store is obtained from the retailing backend system. The location of the product is overlaid on a view of the store, where the view is from a perspective of a location of the shopper, the shopper being physically situated in the store.

According to the method, the device and the system for automatically acquiring the process duration in the SAP system and the computer storage medium provided by the embodiment of the invention, the product model of which the process duration needs to be acquired currently is received, then the rule code is acquired from the SAP system, and the rule code is analyzed to obtain the rule element list corresponding to the rule code; and then converting the rule element list into rule logic which can be identified by the PS system based on the rule element list, and obtaining a logic result, so as to judge whether the product type selection has the process duration or not, and automatically obtaining the process duration corresponding to the rule code under the condition that the process duration exists. Through the method, the device, the system and the storage medium, the process duration of product type selection in the SAP system is automatically obtained in the PS system, so that the method, the device, the system and the storage medium are applied to product type selection process simulation.

This invention relates to the field of employee welfare selection technology, and specifically discloses an employee welfare program selection device based on a large model and supply chain, comprising: a demand acquisition module that collects employee welfare demand data and service provider supply chain data; a model selection module that generates multiple employee welfare program selection plans based on a pre-trained large model; a suitability assessment module that analyzes the welfare demand suitability of each employee welfare program selection plan based on a multi-layered sentiment keyword set, the multi-dimensional industry attributes of the employee, employee age distribution, employee geographic distribution, and each selection object in each employee welfare program selection plan; an optimality assessment module that assesses the optimality of each employee welfare program selection plan based on the welfare demand suitability and total gross profit; and a program selection module that selects the employee welfare program selection plan with the highest optimality as the final employee welfare program selection plan; thereby helping enterprises efficiently formulate employee welfare programs that meet their own needs, improve employee satisfaction, and are economically beneficial.

The application discloses an industrial material customer self-service order placing and contract whole-process progress tracing system and method, and relates to the technical field of industrial digitization sales.The application adopts a three-stage linkage structure of a client APP, a sales end management background and an enterprise ERP / MES background, follows the industrial industry adaptation principle of "online self-service product selection and report + offline price negotiation", realizes customer authorized registration, self-service product selection and report of procurement demand, one-key generation of spot / futures contract by the sales end after receiving the demand, real-time synchronization of whole-process progress and core data such as contract raw material binding, plan compilation, production, warehousing, delivery and settlement of the enterprise ERP / MES background to the sales end and the client, and self-determined and real-time tracing of the customer on the contract whole-process progress.The application solves the pain points of traditional industrial sales operation, such as complicated operation, low efficiency, non-transparent progress and high communication cost, is suitable for the price negotiation characteristics of the industry, realizes the digitization and transparency of the sales process, has low landing cost and is easy to popularize, and is suitable for the sales and contract management of all industrial material production enterprises.

The width-adjustable curtain comprises a first hollow rod and a second hollow rod which are connected in a sliding mode, the first hollow rod and the second hollow rod rotate synchronously, the side walls of the two hollow rods are provided with a first receding opening and a second receding opening respectively, the two receding openings are communicated, one side of each receding opening is provided with a connecting plate, the connecting plate is connected with a cloth piece, and the cloth piece is connected with the first hollow rod and the second hollow rod. The two pieces of cloth extend out of the hollow rod through the receding opening and are arranged in an overlapped mode, and a bonding piece is arranged between the two pieces of cloth. A user pulls the second hollow rod to change the overlapping degree of the first cloth piece and the second cloth piece so as to adjust the covering width of the curtain, the use requirements of all windows can be met within a certain width range, product selection can be conducted according to the width detected by the user, the communication cost is reduced, the curtain can be repeatedly used on windows of different specifications, and the use effect is good. The use experience of the user is effectively improved; a manufacturer can make statistics on common window specifications in the market to stock up curtain products in a common width range, and the production and delivery efficiency is improved.

A product dispensing machine includes a user interface configured to receive user selections and to present user selectable options. The product dispensing machine also includes a controller configured to control the user interface to present user selectable options in order of priority. The controller is configured to aggregate the user selections and to dynamically adjust the priority of the user selectable options based on the aggregated user selections.

The invention discloses a control method and device of a vending cabinet, the vending cabinet and a storage medium, and belongs to the technical field of intelligent vending. A display screen is arranged on the vending cabinet, and the method comprises the steps that in response to a shopping instruction triggered by a user, the display screen is controlled to enter a shopping page; the shopping page comprises a commodity selection area and a settlement area; the settlement area comprises a detail selection area and a payment area; adding the commodity selected by the user in the commodity selection area to a selection detail area; and updating the price and the payment code displayed in the payment area according to the commodity in the selection detail area. The commodity selection area and the settlement area are integrated on the same shopping page, after the user selects the commodity in the commodity selection area, the selected commodity is automatically added to the selection detail area, and the price and the payment code displayed in the payment area are updated, so that the operation frequency of the user is reduced, and the user experience is improved. And the waiting and operation burden of the user in the shopping process is reduced, and the shopping convenience and efficiency are improved.

The disclosed embodiments relate to an exchange computing system which selectively prematurely expires financial instruments in order to finally settle them and remove them from the computing system. In particular, the disclosed embodiments recognize that during the pendency of a futures contract between first available trade date and the expiration, the exchange computing system must facilitate trading thereof by tracking traders positions, providing regular pricing data as well as transacting trades therefore. This consumes exchange resource especially given the number of products offered and the extended length of term for some. Accordingly where contracts can be settled early and thereby removed from being transacted, exchange resources may be conserved.

The present application relates to the technical field of intelligent product selection, and particularly relates to an intelligent product selection and infringement early warning method based on cross-platform mining and a knowledge graph, comprising: obtaining product description texts on multiple platforms, user interaction behavior sequences and market dynamic indicators; using natural language processing to analyze the product texts and extract a technical feature vector, combining time series analysis to generate a product heat index, and calculating market saturation based on market dynamics to form a product market potential evaluation indicator; constructing a multi-dimensional product knowledge graph based on the technical feature vector, and selecting candidate products according to the potential indicator; mapping the candidate product technical vector to the knowledge graph to quantitatively generate a patent infringement risk evaluation value; when the risk exceeds a threshold value, generating a design avoidance scheme based on the technical substitution path and design variant scheme in the graph; and outputting intelligent product selection decision support information. The present application improves platform product selection efficiency and accuracy.

The embodiment of the invention relates to the technical field of artificial intelligence, and discloses a commodity selection method and device based on a cross-border e-commerce platform, computer equipment and a storage medium, and the method comprises the steps: collecting the multi-dimensional data of each commodity category from each e-commerce information platform; preliminarily screening the multi-dimensional data based on a dynamic threshold value to obtain preliminarily screened category data; inputting the category portrait into a category potential evaluation model to obtain a potential category analysis report; the potential category analysis report comprises comprehensive potential, differentiated product selection suggestions, risk early warning and an optimal market entry strategy; the category potential evaluation model is obtained by training through a multi-task learning framework according to sample commodity category data; the category potential evaluation model comprises a shared bottom feature extraction layer and a plurality of output heads, and each output head is used for outputting a sub-target; and determining a target commodity category according to the potential category analysis report. According to the embodiment of the invention, accurate multi-dimensional analysis product selection is realized.

1. The name of the design product: product selection purchase graphical user interface for electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: the graphical user interface of the design is used for product purchase selection. 6. The change state description of the graphical user interface: the interface shown in the front view is the product selection purchase interface. Specifically, the upper part of the interface shown in the front view displays a type selection bar, the middle part of the interface displays a product display area, and the product display area displays a plurality of product display frames. In the interface shown in the front view, clicking the product display frame jumps to the interface shown in the change state diagram, the selected product display frame is enlarged, and more product information is displayed.

The invention relates to a management method and device of a supply chain system and a storage medium, and relates to the technical field of new retail digitization, the supply chain system comprises an account division module, a verification module, an evaluation and selection module and a performance module, and the method comprises the following steps: the account division module is used for obtaining payment information of a cashier terminal; calculating a cost amount and a profit amount of each subject according to the payment information and a preset profit sharing proportion; the verification module is used for verifying whether the application data is compliant or not; the evaluation and selection module is used for acquiring scoring data of the commodities and calculating scores of the commodities; the performance module is used for evaluating whether the inventory number of the commodities is lower than an inventory threshold value or not according to a pre-trained neural network; and if yes, generating a replenishment order according to the historical replenishment order, and sending the replenishment order to a warehouse management account. And full-link cooperation of transparent and efficient fund circulation, intelligent compliance of franchise audit, standardization of product selection and scoring, and accurate and rapid performance and replenishment is realized.