Price bargaining method and device

Abstract

The invention belongs to the field of bargaining, and discloses a bargaining method and device. The method comprises the steps of obtaining a to-be-bargained artware image, a merchant price and an expected price of a to-be-bargained artware; inputting the to-be-bargained handicraft image into a pre-trained image recognition model, and performing feature extraction and analysis on the to-be-bargained handicraft image to obtain handicraft basic information of the to-be-bargained handicraft; and determining a bargaining strategy according to the artware basic information, the merchant price and the expected price, and supporting a user to respond to a bargaining scene. The bargaining strategy can be provided for the user, so that the user can flexibly cope with the negotiation scene based on the bargaining strategy.

Description

Technical Field

[0001] The present invention relates to the technical field of bargaining, and in particular to a bargaining method and device. Background Art

[0002] With the development of economy and the improvement of people's living standards, people can travel frequently to relax. During the travel, it is inevitable that they will be attracted by local handicrafts and want to consume and buy them. When buying handicrafts, it is necessary to negotiate with the merchants. However, users do not know much about handicrafts, and bargaining requires more time and energy. Therefore, a bargaining method is urgently needed to support us to flexibly respond to negotiation scenarios and improve bargaining efficiency. Summary of the invention

[0003] Based on this, it is necessary to provide a bargaining method and device to address the above technical issues.

[0004] In a first aspect, a bargaining method is provided, the method comprising: Obtaining an image of the handicraft to be negotiated, a merchant price, and an expected price of the handicraft to be negotiated; Inputting the image of the handicraft to be negotiated into a pre-trained image recognition model, extracting and analyzing the features of the image of the handicraft to be negotiated, and obtaining basic information of the handicraft to be negotiated; A bargaining strategy is determined based on the basic information of the handicraft, the merchant's price and the expected price to support users in responding to bargaining scenarios.

[0005] As an optional implementation manner, generating a bargaining strategy according to the basic information of the handicraft, the merchant price and the expected price includes: Determine the cost price, market supply and demand relationship and the psychological price bottom line of the crafts to be negotiated based on the basic information of the crafts, including name, type, material, craft complexity, style, cultural background and market value range; A bargaining strategy is generated based on the merchant price, the expected price, the cost price, the market supply and demand relationship and the merchant's psychological price bottom line.

[0006] As an optional implementation, determining the cost price, market supply and demand relationship and the psychological price bottom line of the handicraft to be negotiated based on the basic information of the handicraft includes: According to the name, type, material and complexity of the handicraft to be negotiated, query the cost price corresponding to the handicraft to be negotiated in the pre-stored correspondence between the name, type, material, complexity of the handicraft and the cost price of the handicraft; According to the name, style and cultural background of the handicraft to be negotiated, query the market supply and demand relationship of the handicraft to be negotiated in the pre-stored correspondence between the name, style, cultural background and market supply and demand relationship; According to the name and market value range of the handicraft to be negotiated, the psychological price bottom line of the merchant of the handicraft to be negotiated is queried in the pre-stored correspondence between the name, market value range and the merchant's psychological price bottom line.

[0007] As an optional implementation manner, generating a bargaining strategy according to the merchant price, the expected price, the cost price, the market supply and demand relationship and the merchant's psychological price bottom line includes: Determine the market price of the handicraft to be negotiated according to the merchant price, the cost price and the market supply and demand relationship, output the market price of the handicraft to be negotiated, and recommend a first bargaining range for user reference; According to the market supply and demand relationship and the psychological price bottom line of the merchant, the group purchase demand is output, and the bulk purchase price of the handicrafts to be negotiated is determined according to the purchase quantity, and the bulk purchase price and the second bargaining range are output for user reference; A suggested purchase price range of the handicraft to be negotiated is determined according to the merchant price, the expected price, the cost price and the Nash bargaining model.

[0008] As an optional implementation manner, the basic information of the handicraft includes material, and the method further includes: According to the image of the handicraft to be negotiated and the image recognition method, determine whether the crown of the handicraft to be negotiated is worn, and if so, output a wear prompt, a recommended wear price and a recommended third bargaining range for user reference; Get the current month, determine whether the current month is a tourist off-season, and if so, output a tourist off-season reminder, a suggested off-season promotional price, and a suggested fourth bargaining range for user reference.

[0009] As an optional implementation, the method further includes: Acquire a training data set, wherein the training data set includes a plurality of handicraft image data and basic handicraft information corresponding to each of the handicraft image data, wherein the basic handicraft information includes name, type, material, process complexity, style, cultural background, and market value range; Based on each of the handicraft image data and the basic information of the handicraft corresponding to each of the handicraft image data, the initial image recognition model is trained to obtain the trained image recognition model.

[0010] In a second aspect, a bargaining device is provided, the device comprising: The first acquisition module is used to acquire the image of the handicraft to be negotiated, the merchant price and the expected price of the handicraft to be negotiated; An input module, used to input the image of the handicraft to be negotiated into a pre-trained image recognition model, extract and analyze the features of the image of the handicraft to be negotiated, and obtain basic information of the handicraft to be negotiated; The determination module is used to determine the bargaining strategy according to the basic information of the handicraft, the merchant price and the expected price, so as to support the user to respond to the bargaining scenario.

[0011] As an optional implementation manner, the determining module is specifically configured to: Determine the cost price, market supply and demand relationship and the psychological price bottom line of the crafts to be negotiated based on the basic information of the crafts, including name, type, material, craft complexity, style, cultural background and market value range; A bargaining strategy is generated based on the merchant price, the expected price, the cost price, the market supply and demand relationship and the merchant's psychological price bottom line.

[0012] As an optional implementation manner, the determining module is specifically configured to: According to the name, type, material and complexity of the handicraft to be negotiated, query the cost price corresponding to the handicraft to be negotiated in the pre-stored correspondence between the name, type, material, complexity of the handicraft and the cost price of the handicraft; According to the name, style and cultural background of the handicraft to be negotiated, query the market supply and demand relationship of the handicraft to be negotiated in the pre-stored correspondence between the name, style, cultural background and market supply and demand relationship; According to the name and market value range of the handicraft to be negotiated, the psychological price bottom line of the merchant of the handicraft to be negotiated is queried in the pre-stored correspondence between the name, market value range and the merchant's psychological price bottom line.

[0013] As an optional implementation manner, the determining module is specifically configured to: Determine the market price of the handicraft to be negotiated according to the merchant price, the cost price and the market supply and demand relationship, output the market price of the handicraft to be negotiated, and recommend a first bargaining range for user reference; According to the market supply and demand relationship and the psychological price bottom line of the merchant, the group purchase demand is output, and the bulk purchase price of the handicrafts to be negotiated is determined according to the purchase quantity, and the bulk purchase price and the second bargaining range are output for user reference; A suggested purchase price range of the handicraft to be negotiated is determined according to the merchant price, the expected price, the cost price and the Nash bargaining model.

[0014] As an optional implementation manner, the basic information of the handicraft includes material, and the device further includes: a determination module, for determining whether the crown of the craft to be negotiated is worn out according to the image of the craft to be negotiated and the image recognition method, and if so, outputting a wear prompt, a suggested wear price and a suggested third bargaining range for user reference; The second acquisition module is used to obtain the current month and determine whether the current month is a tourist off-season. If so, it outputs a tourist off-season reminder, a recommended off-season promotional price and a recommended fourth bargaining range for user reference.

[0015] As an optional implementation, the device further includes: A third acquisition module is used to acquire a training data set, wherein the training data set includes a plurality of handicraft image data and basic handicraft information corresponding to each of the handicraft image data, wherein the basic handicraft information includes name, type, material, process complexity, style, cultural background and market value range; The training module is used to train the initial image recognition model based on each of the handicraft image data and the basic information of the handicraft corresponding to each of the handicraft image data to obtain the trained image recognition model.

[0016] In a third aspect, a computer device is provided, comprising a memory and a processor, wherein the memory stores a computer program executable on the processor, and when the processor executes the computer program, the method steps described in the first aspect are implemented.

[0017] In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the method steps described in the first aspect are implemented.

[0018] The present application provides a bargaining method, and the technical solution provided by the embodiment of the present application brings at least the following beneficial effects: obtaining the image of the handicraft to be negotiated, the merchant price and the expected price of the handicraft to be negotiated; inputting the image of the handicraft to be negotiated into a pre-trained image recognition model, extracting and analyzing the features of the image of the handicraft to be negotiated, and obtaining the basic information of the handicraft to be negotiated; determining the bargaining strategy based on the basic information of the handicraft, the merchant price and the expected price, and supporting users to respond to bargaining scenarios. When traveling and shopping, users can identify the basic information of the handicraft to be negotiated through the image recognition model, and determine the bargaining strategy based on the basic information of the handicraft to be negotiated, the merchant price and the expected price. Through the bargaining strategy, multiple core bargaining reasons, price adjustment range and distribution bargaining negotiation strategies are provided to users, supporting users to flexibly respond to negotiation scenarios. Based on multiple core bargaining reasons, bargaining support points are provided to users, which reduces the bargaining time and energy of users and greatly improves the bargaining efficiency of users.

[0019] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0021] Figure 1 A flowchart of a bargaining method provided in an embodiment of the present application; Figure 2 A schematic diagram of the structure of a bargaining device provided in an embodiment of the present application; Figure 3 A schematic diagram of the structure of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0023] The following will describe in detail a bargaining method provided by an embodiment of the present application in combination with a specific implementation method. Figure 1 A flowchart of a bargaining method provided in an embodiment of the present application, such as Figure 1 As shown, the specific steps are as follows: Step 101, obtaining an image of the handicraft to be negotiated, a merchant price and an expected price of the handicraft to be negotiated.

[0024] In implementation, when a user takes a fancy to a certain handicraft in a handicraft store, he only needs to take a photo of the handicraft, and it can quickly identify the category, material, craft characteristics and other information of the handicraft with the help of advanced image recognition models. Subsequently, the merchant price given by the merchant and the expected price input by the user can be received to obtain the bargaining strategy. The user can then form a resource bargaining plan based on the bargaining strategy to support the user to flexibly respond to the negotiation scenario with the merchant. Therefore, it is necessary to obtain the image of the handicraft to be negotiated, the merchant price and the expected price of the handicraft to be negotiated at the beginning. You can take a photo of the handicraft to be negotiated with your mobile phone to obtain the image of the handicraft to be negotiated.

[0025] Step 102: input the image of the handicraft to be negotiated into a pre-trained image recognition model, extract and analyze the features of the image of the handicraft to be negotiated, and obtain basic information of the handicraft to be negotiated.

[0026] In the implementation, the acquired image of the handicraft to be negotiated is input into a pre-trained image recognition model, and the image recognition model is used to extract and analyze the features of the handicraft image to be negotiated, so as to obtain the basic information of the handicraft to be negotiated. Among them, computer vision technology can also be used to extract and analyze the features of the handicraft image to be negotiated, identify the key visual features of the handicraft to be negotiated, and then use the big data model to match the handicraft to be negotiated with the possible corresponding traditional handicraft in the knowledge base, and obtain relevant value assessment information, so as to make a value judgment.

[0027] Furthermore, the training process of the image recognition model is as follows: Step 1: Obtain a training data set, which includes a plurality of handicraft image data and basic handicraft information corresponding to each handicraft image data, wherein the basic handicraft information includes name, type, material, process complexity, style, cultural background and market value range.

[0028] In practice, the image recognition model for identifying the images of the handicrafts to be negotiated needs to be trained in advance. It is necessary to first obtain a training data set for the image recognition model, wherein the training data set includes multiple handicraft image data and basic handicraft information corresponding to each handicraft image data, and the basic handicraft information includes name, type, material, process complexity, style, cultural background, and market value range, and may also include specific textures, shapes, and color patterns, etc., which are not limited here.

[0029] Step 2: Based on the image data of each craft and the basic information of the craft corresponding to the image data of each craft, the initial image recognition model is trained to obtain a trained image recognition model.

[0030] In the implementation, each craft image data is input into the initial image recognition model, and the basic information of the identified craft corresponding to each craft image data is output. The recognition accuracy of the initial image recognition model is determined based on the basic information of the identified craft and the basic information of the craft. If the recognition accuracy is greater than the preset recognition accuracy threshold, it is determined that the initial image recognition model training is completed. If the recognition accuracy is less than or equal to the preset recognition accuracy threshold, the initial image recognition model is continued to be trained until the recognition accuracy is greater than the preset recognition accuracy threshold. In this way, the initial image recognition model is trained based on each craft image data and the basic information of the craft corresponding to each craft image data. After the training is completed, a trained image recognition model is obtained. In this way, the image recognition model is successfully trained. Among them, the image recognition model can be a convolutional neural network (CNN), so that it can accurately identify the visual features of crafts and classify them. The development of the image recognition model can be based on a deep learning framework such as TensorFlow or PyTorch, using its rich convolutional layers, pooling layers and other components to build an efficient image recognition network. For example, in TensorFlow, the Keras interface is used to quickly build a CNN model for image recognition tasks. Part of the code: iimport tensorflow as tf from tensorflow.keras.models importSequential from tensorflow.keras.layers import Conv2D,MaxPooling2D,Flatten,Dense#Build image recognition model model=Sequential() model.add(Conv2D(32,(3,3),activation='relu',input_shape=(image_height,image_width,3))) model.add(MaxPooling2D((2,2))) model.add(Conv2D(64,(3,3), activation='relu'))model.add(MaxPooling2td((2,2))) model.add(Conv2D(128,(3,3), activation='relu')) model.add(MaxPooling2D((2,2))) model.add(Flatten())model.add(Dense(128,activation='relu'))model.add(Dense(num_classes,activation='softmax'))#model.compile(optimizer='adam',loss='categorical_crossentropy',metrics=['accuracy']).

[0031] Furthermore, this application can use the powerful computing resources of cloud computing platforms (such as AWS, Azure, etc.) to store large-scale data, train models, and update them. When users conduct real-time bargaining, edge computing technology is used to complete some computing tasks (such as preliminary processing of image recognition) locally on the user's mobile phone, thereby reducing data transmission delays and improving interactive response speed. For example, the mobile phone application uses edge computing frameworks such as TensorFlowLite to lightweight the trained image recognition model and deploy it on the mobile phone to achieve fast photo recognition of handicrafts.

[0032] Step 103, determine a bargaining strategy based on the basic information of the handicraft, the merchant's price and the expected price, and support the user to respond to the bargaining scenario.

[0033] During implementation, when users want to buy handicrafts, they can determine the bargaining strategy based on the basic information of the handicrafts obtained by the image recognition model, the merchant's price and the user's expected price. The bargaining strategy is displayed, so that when users negotiate with the merchants again, the users can respond flexibly to the negotiation scenarios and optimally approach the negotiation goals of both parties, so that the bargaining parties can quickly complete the bargaining, alleviating the low efficiency of the existing manual bargaining method and improving the bargaining efficiency.

[0034] Specifically, the specific process of executing step 103 is as follows: Step three: Determine the cost price, market supply and demand relationship and the merchant's psychological price bottom line of the handicraft to be negotiated based on the basic information of the handicraft. The basic information of the handicraft includes name, type, material, craft complexity, style, cultural background and market value range.

[0035] In implementation, the cost price, market supply and demand relationship and the psychological price bottom line of the handicraft to be negotiated can be determined based on the name, type, material, process complexity, style, cultural background and market value range included in the basic information of the handicraft. Among them, the cost price can be determined based on the name, type, material and process complexity of the handicraft to be negotiated. The market supply and demand relationship can be determined based on the name, style and cultural background of the handicraft to be negotiated. According to the data determined in advance through the analysis of the local tourism market and handicraft industry, the data of the tourism market and handicraft industry of different countries are analyzed in advance, and the corresponding analysis results are stored. The psychological price bottom line of the merchant can be determined based on the name and market value range of the handicraft to be negotiated.

[0036] Furthermore, the specific process of executing step three is as follows: Step A, according to the name, type, material and complexity of the handicraft to be negotiated, query the cost price corresponding to the handicraft to be negotiated in the pre-stored correspondence between the name, type, material, complexity of the handicraft and the cost price of the handicraft.

[0037] In the implementation, the technicians analyze the name, type, material, and complexity of the handicrafts in the data of the local tourism market and the handicraft industry in advance, determine the corresponding relationship between the name, type, material, complexity of the handicrafts and the cost price of the handicrafts, and store it. In this way, the cost price corresponding to the handicraft to be negotiated can be queried in the pre-stored corresponding relationship between the name, type, material, complexity of the handicraft and the cost price of the handicraft according to the name, type, material, complexity of the handicraft to be negotiated.

[0038] Step B, according to the name, style and cultural background of the handicraft to be negotiated, query the market supply and demand relationship of the handicraft to be negotiated in the pre-stored correspondence between the name, style, cultural background and market supply and demand relationship.

[0039] In implementation, the technicians analyze the names, styles and cultural backgrounds of handicrafts in the local tourism market and handicraft industry data in advance, determine the corresponding relationship between the names, styles, cultural backgrounds and market supply and demand of handicrafts, and store them. In this way, the market supply and demand relationship of the handicrafts to be negotiated can be queried in the pre-stored corresponding relationship between the names, styles, cultural backgrounds and market supply and demand based on the names, styles and cultural backgrounds of the handicrafts to be negotiated.

[0040] Step C, according to the name and market value range of the handicraft to be negotiated, in the pre-stored correspondence between the name, market value range and the merchant's psychological price bottom line, query the merchant's psychological price bottom line for the handicraft to be negotiated.

[0041] In implementation, the technicians analyze the names and market value ranges of handicrafts in advance in the data of the local tourism market and handicraft industry, determine the corresponding relationship between the names of handicrafts, market value ranges and the psychological price bottom line of merchants, and store them. In this way, the psychological price bottom line of merchants of handicrafts to be negotiated can be queried based on the names and market value ranges of handicrafts to be negotiated, and the corresponding relationship between the names, market value ranges and the psychological price bottom line of merchants stored in advance.

[0042] Step 4: Generate a bargaining strategy based on the merchant’s price, expected price, cost price, market supply and demand, and the merchant’s psychological price bottom line.

[0043] In implementation, a bargaining strategy can be generated comprehensively based on the merchant's price, expected price, cost price, market supply and demand relationship, and the merchant's psychological price bottom line. For example, if the handicrafts to be negotiated are common and have a large output in the local area, with low cost, oversupply, and the merchant's price is significantly higher than the market average price, a more aggressive bargaining strategy can be determined, and a larger price reduction requirement can be proposed; on the contrary, if the handicrafts to be negotiated are relatively scarce, high cost, or high craft value, and the merchant's price is within the market price range, a relatively conservative but still persuasive bargaining strategy will be generated. Therefore, a bargaining strategy can be generated based on the merchant's price, expected price, cost price, market supply and demand relationship, and the merchant's psychological price bottom line.

[0044] Furthermore, the specific steps of executing step 4 are as follows: Step a, determining the market price of the handicraft to be negotiated based on the merchant price, cost price and market supply and demand relationship, outputting the market price of the handicraft to be negotiated, and suggesting a first bargaining range for user reference.

[0045] In implementation, the market price of the handicraft to be negotiated can be determined based on the merchant price, cost price and market supply and demand relationship. Then, the market price of the handicraft to be negotiated and the first bargaining range can be output. The user can propose the first bargaining range to the merchant for discount based on the output market price of the handicraft to be negotiated, so that the user can flexibly negotiate with the merchant.

[0046] Step b, according to the market supply and demand relationship and the psychological price bottom line of the merchant, output the group purchase demand, and determine the bulk purchase price of the handicrafts to be negotiated according to the purchase quantity, and output the bulk purchase price and the recommended second bargaining range for user reference.

[0047] In implementation, the group purchase demand is output according to the market supply and demand relationship and the psychological price bottom line of the merchant. If the user has a group purchase demand, then the user can negotiate with the merchant based on the group purchase. The corresponding bulk purchase price is different for different purchase quantities. The more the purchase volume, the lower the bulk purchase price, and the larger the recommended second bargaining range. The bulk purchase price and the recommended second bargaining range can be calculated and output for different purchase quantities. After the user receives the bulk purchase price and the recommended second bargaining range, he can negotiate with the merchant according to the quantity he wants to purchase. Therefore, the bulk purchase price of the handicrafts to be negotiated is determined according to the purchase quantity, and the bulk purchase price and the recommended second bargaining range are output for user reference, providing users with a bargaining strategy for bulk purchase discounts.

[0048] Step c: Determine the recommended purchase price range of the handicraft to be negotiated based on the merchant price, expected price, cost price and Nash bargaining model.

[0049] In practice, a strategy generation algorithm can be constructed based on the Nash bargaining model. By calculating the reservation price and bargaining power of both buyers and sellers, the optimal price range can be determined. The merchant price, expected price and cost price are input into the Nash bargaining model, and the recommended purchase price range of the crafts to be negotiated is output. This allows users to bargain with merchants based on the recommended purchase range.

[0050] For example: Def nash_bargaining(seller_reserve, buyer_reserve, seller_power=0.5, buyer_power=0.5): optimal_price=(seller_power*buyer_reserve+buyer_power*seller_reserve) / (seller_power+buyer_power) return max(seller_reserve, min(buyer_reserve, optimal_price)).

[0051] Furthermore, it is also possible to determine whether the crown of the handicraft to be negotiated is worn based on the image of the handicraft to be negotiated and the image recognition method. If so, a wear prompt, a suggested wear price and a suggested third bargaining range are output to remind the user that the crown of the handicraft to be negotiated is worn.

[0052] In implementation, an image recognition method can be used to perform image recognition on the image of the handicraft to be negotiated, and determine whether the crown of the handicraft to be negotiated is worn. If the crown of the handicraft to be negotiated is worn, a wear prompt, a recommended wear price, and a recommended third bargaining range are output. The more severe the wear, the lower the recommended wear price, and the larger the recommended third bargaining range. The recommended wear price and the recommended third bargaining range can be determined based on the model degree of the identified image of the handicraft to be negotiated. The wear prompt is used to prompt the user that the crown of the handicraft to be negotiated is worn, and provide the user with a bargaining strategy for craftsmanship defects. The user can negotiate with the merchant based on the craftsmanship defects of the handicraft to be negotiated.

[0053] Furthermore, the current month can be obtained to determine whether the current month is a tourist off-season. If so, a tourist off-season reminder, a recommended off-season promotional price, and a recommended fourth bargaining range are output for user reference.

[0054] In the implementation, the current month is obtained to determine whether the current month is the off-season. If the current month is the off-season, the off-season reminder, the recommended off-season promotion price and the recommended fourth bargaining range are output for user reference. In this way, when the current month is the off-season, the off-season promotion strategy can be provided to the user, so that the user can negotiate with the merchant based on the off-season promotion strategy.

[0055] Furthermore, strategies for questioning the material of the handicraft to be negotiated and strategies for closing the deal within a limited time can also be output.

[0056] In practice, different materials of handicrafts to be negotiated have different corresponding values, and thus different corresponding prices. A strategy for questioning the material of handicrafts to be negotiated can be output to users, suggesting that users confirm the material of handicrafts to be negotiated with merchants. For example, confirm the material with merchants, whether the material of the handicrafts to be negotiated is pure hand-woven. A time-limited transaction strategy can also be output to users, for example, a 30-minute decision-making period is recommended, suggesting that users explain to merchants Furthermore, it is also possible to receive the bargaining words from the user to the merchant, call the translation API of the pre-stored translation software, translate the bargaining words into the merchant's local language bargaining words, and play the local language bargaining words to the merchant in voice.

[0057] In implementation, if you are traveling abroad, in order to facilitate communication, you also need to translate the bargaining words expressed by the user to the merchant for bargaining into the merchant's local language bargaining words. Translation can be performed by integrating a professional machine translation engine. The user's bargaining words can be a bargaining dialogue generated according to the bargaining strategy. Therefore, after receiving the user's bargaining words, call the translation API of the pre-stored translation software to translate the bargaining words into the merchant's local language bargaining words, and play the local language bargaining words to the merchant by voice. Among them, the translation software can be Baidu Translate, Google Translate, etc. In this way, the multilingual translation function of the user's input and the merchant's reply is realized. Thereby ensuring the accuracy and fluency of the translation, enabling the bargaining dialogue to proceed naturally, providing support for the user's bargaining, and ensuring that the user can flexibly respond to a variety of bargaining scenarios. For example, after receiving the bargaining words input by the user, call the translation API to convert it into the merchant's local language bargaining words and send it out, and at the same time translate the received merchant's reply back to the user language and display it on the application interface for the user to view. Among them, the translation language can support a variety of common languages ​​of overseas travel destinations, such as English, French, Japanese, Korean, Thai, etc., to ensure smooth bargaining communication in different countries and regions.

[0058] Furthermore, the merchant's reply is received, and a translation API is called to translate the reply into the user's local language and display it.

[0059] In practice, after hearing the bargaining words of the user played by voice, the merchant will reply with corresponding reply words according to the bargaining words. After receiving the reply words of the merchant, the translation API is called to translate the reply words into the reply words in the user's local language and display them to the user.

[0060] The embodiment of the present application provides a bargaining method, which obtains the image of the handicraft to be negotiated, the merchant price and the expected price of the handicraft to be negotiated; inputs the image of the handicraft to be negotiated into a pre-trained image recognition model, extracts and analyzes the features of the image of the handicraft to be negotiated, and obtains the basic information of the handicraft to be negotiated; determines the bargaining strategy based on the basic information of the handicraft, the merchant price and the expected price, and supports users to respond to bargaining scenarios. When users travel abroad to shop and face language barriers, they can use the image recognition model to identify the basic information of the handicraft to be negotiated, and determine the bargaining strategy based on the basic information of the handicraft to be negotiated, the merchant price and the expected price. The bargaining strategy provides users with multiple core bargaining reasons, price adjustment ranges and strategies for distributed bargaining negotiations, supporting users to flexibly respond to negotiation scenarios. Based on multiple core bargaining reasons, it provides users with bargaining support points, reduces the user's bargaining time and energy, and greatly improves the user's bargaining efficiency. The API of the translation software is also called for communication and translation. There is no need to worry about language barriers during the entire process, which ensures smooth bargaining and greatly improves the convenience and satisfaction of users when purchasing handicrafts overseas.

[0061] It should be understood that although Figure 1 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 1 At least part of the steps may include multiple steps or multiple stages. These steps or stages are not necessarily performed at the same time, but can be performed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed in turn or alternately with other steps or at least part of the steps or stages in other steps.

[0062] It can be understood that the same / similar parts between the various embodiments of the above method in this specification can refer to each other, and each embodiment focuses on the differences from other embodiments. For related points, please refer to the description of other method embodiments.

[0063] The present application also provides a bargaining device, such as Figure 2 As shown, the device comprises: The first acquisition module 201 is used to acquire the handicraft image to be negotiated, the merchant price and the expected price of the handicraft to be negotiated; An input module 202 is used to input the image of the handicraft to be negotiated into a pre-trained image recognition model, extract and analyze the features of the image of the handicraft to be negotiated, and obtain basic information of the handicraft to be negotiated; The determination module 203 is used to determine a bargaining strategy based on the basic information of the handicraft, the merchant price and the expected price, so as to support the user to respond to the bargaining scenario.

[0064] As an optional implementation manner, the determining module 203 is specifically configured to: Determine the cost price, market supply and demand relationship and the psychological price bottom line of the crafts to be negotiated based on the basic information of the crafts, including name, type, material, craft complexity, style, cultural background and market value range; A bargaining strategy is generated based on the merchant price, the expected price, the cost price, the market supply and demand relationship and the merchant's psychological price bottom line.

[0065] As an optional implementation manner, the determining module 203 is specifically configured to: According to the name, type, material and complexity of the handicraft to be negotiated, query the cost price corresponding to the handicraft to be negotiated in the pre-stored correspondence between the name, type, material, complexity of the handicraft and the cost price of the handicraft; According to the name, style and cultural background of the handicraft to be negotiated, query the market supply and demand relationship of the handicraft to be negotiated in the pre-stored correspondence between the name, style, cultural background and market supply and demand relationship; According to the name and market value range of the handicraft to be negotiated, the psychological price bottom line of the merchant of the handicraft to be negotiated is queried in the pre-stored correspondence between the name, market value range and the merchant's psychological price bottom line.

[0066] As an optional implementation manner, the determining module 203 is specifically configured to: Determine the market price of the handicraft to be negotiated according to the merchant price, the cost price and the market supply and demand relationship, output the market price of the handicraft to be negotiated, and recommend a first bargaining range for user reference; According to the market supply and demand relationship and the psychological price bottom line of the merchant, the group purchase demand is output, and the bulk purchase price of the handicrafts to be negotiated is determined according to the purchase quantity, and the bulk purchase price and the second bargaining range are output for user reference; A suggested purchase price range of the handicraft to be negotiated is determined according to the merchant price, the expected price, the cost price and the Nash bargaining model.

[0067] As an optional implementation manner, the basic information of the handicraft includes material, and the device further includes: a determination module, for determining whether the crown of the craft to be negotiated is worn out according to the image of the craft to be negotiated and the image recognition method, and if so, outputting a wear prompt, a suggested wear price and a suggested third bargaining range for user reference; The second acquisition module is used to obtain the current month and determine whether the current month is a tourist off-season. If so, it outputs a tourist off-season reminder, a recommended off-season promotional price and a recommended fourth bargaining range for user reference.

[0068] As an optional implementation, the device further includes: A third acquisition module is used to acquire a training data set, wherein the training data set includes a plurality of handicraft image data and basic handicraft information corresponding to each of the handicraft image data, wherein the basic handicraft information includes name, type, material, process complexity, style, cultural background and market value range; The training module is used to train the initial image recognition model based on each of the handicraft image data and the basic information of the handicraft corresponding to each of the handicraft image data to obtain the trained image recognition model.

[0069] The embodiment of the present application provides a bargaining device. When a user is traveling abroad and shopping and faces language barriers, the user can identify the basic information of the handicraft to be negotiated through an image recognition model, and determine the bargaining strategy based on the basic information of the handicraft to be negotiated, the merchant's price and the expected price. The bargaining strategy provides users with multiple core bargaining reasons, price adjustment ranges and distribution bargaining negotiation strategies, supporting users to flexibly respond to negotiation scenarios. Based on multiple core bargaining reasons, bargaining support points are provided to users, which reduces the user's bargaining time and energy and greatly improves the user's bargaining efficiency. The API of the translation software is also called for communication and translation. There is no need to worry about language barriers during the entire process, which ensures the smooth progress of bargaining and greatly improves the convenience and satisfaction of users in purchasing handicrafts overseas.

[0070] For the specific definition of the bargaining device, please refer to the definition of the bargaining method above, which will not be repeated here. The various modules in the above-mentioned bargaining device can be implemented in whole or in part by software, hardware and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0071] In one embodiment, a computer device is provided, such as Figure 3 As shown, it includes a memory and a processor, the memory stores a computer program that can be run on the processor, and the processor implements the above-mentioned bargaining method steps when executing the computer program.

[0072] In one embodiment, a computer-readable storage medium stores a computer program, which implements the steps of the above-mentioned bargaining method when executed by a processor.

[0073] Each embodiment in this specification is described in a related manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0074] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A bargaining method, characterized in that: The method comprises: Obtaining an image of the handicraft to be negotiated, a merchant price, and an expected price of the handicraft to be negotiated; Inputting the image of the handicraft to be negotiated into a pre-trained image recognition model, extracting and analyzing the features of the image of the handicraft to be negotiated, and obtaining basic information of the handicraft to be negotiated; A bargaining strategy is determined based on the basic information of the handicraft, the merchant's price and the expected price to support users in responding to bargaining scenarios.

2. The method according to claim 1, characterized in that The determining of the bargaining strategy according to the basic information of the handicraft, the merchant's price and the expected price includes: Determine the cost price, market supply and demand relationship and the psychological price bottom line of the crafts to be negotiated based on the basic information of the crafts, including name, type, material, craft complexity, style, cultural background and market value range; A bargaining strategy is generated based on the merchant price, the expected price, the cost price, the market supply and demand relationship and the merchant's psychological price bottom line.

3. The method according to claim 2, characterized in that Determining the cost price, market supply and demand relationship and the psychological price bottom line of the crafts to be negotiated based on the basic information of the crafts includes: According to the name, type, material and complexity of the handicraft to be negotiated, query the cost price corresponding to the handicraft to be negotiated in the pre-stored correspondence between the name, type, material, complexity of the handicraft and the cost price of the handicraft; According to the name, style and cultural background of the handicraft to be negotiated, query the market supply and demand relationship of the handicraft to be negotiated in the pre-stored correspondence between the name, style, cultural background and market supply and demand relationship; According to the name and market value range of the handicraft to be negotiated, the psychological price bottom line of the merchant of the handicraft to be negotiated is queried in the pre-stored correspondence between the name, market value range and the merchant's psychological price bottom line.

4. The method according to claim 2, characterized in that: The generating of a bargaining strategy according to the merchant price, the expected price, the cost price, the market supply and demand relationship and the merchant's psychological price bottom line includes: Determine the market price of the handicraft to be negotiated according to the merchant price, the cost price and the market supply and demand relationship, output the market price of the handicraft to be negotiated, and recommend a first bargaining range for user reference; According to the market supply and demand relationship and the psychological price bottom line of the merchant, the group purchase demand is output, and the bulk purchase price of the handicrafts to be negotiated is determined according to the purchase quantity, and the bulk purchase price and the second bargaining range are output for user reference; A suggested purchase price range of the handicraft to be negotiated is determined according to the merchant price, the expected price, the cost price and the Nash bargaining model.

5. The method according to claim 1, characterized in that The basic information of the handicraft includes material, and the method further includes: According to the image of the handicraft to be negotiated and the image recognition method, determine whether the crown of the handicraft to be negotiated is worn, and if so, output a wear prompt, a recommended wear price and a recommended third bargaining range for user reference; Get the current month, determine whether the current month is a tourist off-season, and if so, output a tourist off-season reminder, a suggested off-season promotional price, and a suggested fourth bargaining range for user reference.

6. The method according to claim 1, characterized in that The method further comprises: Acquire a training data set, the training data set including a plurality of handicraft image data and basic handicraft information corresponding to each of the handicraft image data, the basic handicraft information including name, type, material, process complexity, style, cultural background and market value range; Based on each of the handicraft image data and the basic information of the handicraft corresponding to each of the handicraft image data, the initial image recognition model is trained to obtain the trained image recognition model.

7. A bargaining device, characterized in that: The device comprises: The first acquisition module is used to acquire the image of the handicraft to be negotiated, the merchant price and the expected price of the handicraft to be negotiated; An input module, used to input the image of the handicraft to be negotiated into a pre-trained image recognition model, extract and analyze the features of the image of the handicraft to be negotiated, and obtain basic information of the handicraft to be negotiated; The determination module is used to determine the bargaining strategy according to the basic information of the handicraft, the merchant price and the expected price, so as to support the user to respond to the bargaining scenario.

8. The device according to claim 7, characterized in that The determining module is specifically used for: Determine the cost price, market supply and demand relationship and the psychological price bottom line of the crafts to be negotiated based on the basic information of the crafts, including name, type, material, craft complexity, style, cultural background and market value range; A bargaining strategy is generated based on the merchant price, the expected price, the cost price, the market supply and demand relationship and the merchant's psychological price bottom line.

9. The device according to claim 8, characterized in that The determining module is specifically used for: According to the name, type, material and complexity of the handicraft to be negotiated, query the cost price corresponding to the handicraft to be negotiated in the pre-stored correspondence between the name, type, material, complexity of the handicraft and the cost price of the handicraft; According to the name, style and cultural background of the handicraft to be negotiated, query the market supply and demand relationship of the handicraft to be negotiated in the pre-stored correspondence between the name, style, cultural background and market supply and demand relationship; According to the name and market value range of the handicraft to be negotiated, the psychological price bottom line of the merchant of the handicraft to be negotiated is queried in the pre-stored correspondence between the name, market value range and the merchant's psychological price bottom line.

10. The device according to claim 8, characterized in that The determining module is specifically used for: Determine the market price of the handicraft to be negotiated according to the merchant price, the cost price and the market supply and demand relationship, output the market price of the handicraft to be negotiated, and recommend a first bargaining range for user reference; According to the market supply and demand relationship and the psychological price bottom line of the merchant, the group purchase demand is output, and the bulk purchase price of the handicrafts to be negotiated is determined according to the purchase quantity, and the bulk purchase price and the second bargaining range are output for user reference; A suggested purchase price range of the handicraft to be negotiated is determined according to the merchant price, the expected price, the cost price and the Nash bargaining model.

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