Recommendation adjustment method and device of operation strategy, equipment, medium and program product

Abstract

The invention relates to the technical field of data processing, and discloses an operation strategy recommendation adjustment method and device, equipment, a medium and a program product.The method comprises the steps that in response to obtained product information, the product information and at least one service problem for a target product are displayed on an information processing page, and the service problem is obtained based on the product information; in response to a data query instruction for the target business problem, a target data source and a target query parameter are displayed on the data query page, and the target data source is matched with the target business problem and the target product; obtaining a target query result corresponding to the target business problem to obtain a recommended operation adjustment strategy of the target product, the target query result being obtained by querying in the target data source based on the target query parameter; and displaying the target query result and the recommended operation adjustment strategy on the information processing page. According to the invention, the problem of product operation strategy updating lagging can be solved.

Description

Technical Field

[0001] The present disclosure relates to the field of data processing technology, and in particular to a method, device, equipment, medium and program product for recommending and adjusting an operation strategy. Background Art

[0002] At present, the management of product inventory, warehousing, supply chain and logistics operations is one of the key factors affecting product satisfaction. In related technologies, the adjustment of operation strategies depends on the historical sales data and market trend analysis of products. However, this adjustment method cannot respond to changes in the market environment in a timely manner, resulting in a lag in the update of product operation strategies. Summary of the invention

[0003] In view of this, the present disclosure provides a method, device, equipment, medium and program product for recommending and adjusting an operation strategy to solve the problem of delayed updating of product operation strategies.

[0004] In a first aspect, the present disclosure provides a method for recommending and adjusting an operation strategy, the method comprising:

[0005] In response to the acquired product information, displaying the product information and at least one business problem for the target product on an information processing page, wherein the business problem is obtained based on the product information;

[0006] In response to a data query instruction for a target business question, a target data source and a target query parameter are displayed on a data query page, wherein the target data source matches the target business question and the target product;

[0007] Obtaining a target query result corresponding to the target business problem to obtain a recommended operation adjustment strategy for the target product, wherein the target query result is obtained by querying the target data source based on the target query parameter;

[0008] The target query result and the recommended operation adjustment strategy are displayed on the information processing page.

[0009] In a second aspect, the present disclosure provides a device for recommending and adjusting an operation strategy, the device comprising:

[0010] an information processing module, configured to, in response to the acquired product information, display the product information and at least one business question for a target product on an information processing page, wherein the business question is obtained based on the product information;

[0011] A parameter matching module, for responding to a data query instruction for a target business problem, and displaying a target data source and a target query parameter on a data query page, wherein the target data source matches the target business problem and the target product;

[0012] A data analysis module, used to obtain a target query result corresponding to the target business problem to obtain a recommended operation adjustment strategy for the target product, wherein the target query result is obtained by querying the target data source based on the target query parameter;

[0013] A result display module is used to display the target query result and the recommended operation adjustment strategy on the information processing page.

[0014] In a third aspect, the present disclosure provides an electronic device, comprising: a memory and a processor, the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the recommended adjustment method of the operating strategy of the above-mentioned first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0015] In a fourth aspect, the present disclosure provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the recommended adjustment method for the operating strategy of the first aspect or any corresponding embodiment thereof.

[0016] In a fifth aspect, the present disclosure provides a computer program product, including computer instructions, which are used to enable a computer to execute the recommended adjustment method of the operation strategy of the above-mentioned first aspect or any corresponding embodiment.

[0017] The recommended adjustment method for the operation strategy provided by the embodiment of the present disclosure responds to the acquired product information and displays the business problems obtained based on the product information. Therefore, it is possible to respond to market changes in a timely manner through product information and generate business problems for analyzing the trend of changes in the operation strategy. Then, data query is performed through the target business problem, and a recommended operation adjustment strategy is obtained based on the query results. Therefore, when the market environment or product information changes, the recommended operation adjustment strategy can be used to timely update the operation strategy of the relevant product. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the specific embodiments of the present disclosure or the technical solutions in the prior art, the drawings required for use in the specific embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 is a flowchart of a recommended adjustment method for a first operation strategy according to an embodiment of the present disclosure;

[0020] Figure 2 is a flowchart of a recommended adjustment method for a second operation strategy according to an embodiment of the present disclosure;

[0021] Figure 3 is a schematic diagram showing a product description and a business problem according to an embodiment of the present disclosure;

[0022] Figure 4 is another schematic diagram showing a product description and a business problem according to an embodiment of the present disclosure;

[0023] Figure 5 is a flowchart of a method for recommending adjustment of a third operation strategy according to an embodiment of the present disclosure;

[0024] Figure 6 is a schematic diagram of a data query page according to an embodiment of the present disclosure;

[0025] Figure 7 is a flowchart of a recommended adjustment method for a fourth operation strategy according to an embodiment of the present disclosure;

[0026] Figure 8 is a schematic diagram of displaying a target query result and a recommended operation adjustment strategy according to an embodiment of the present disclosure;

[0027] Fig. 9 is a schematic diagram of a system architecture of a recommendation adjustment method using an operation strategy according to an embodiment of the present disclosure;

[0028] Fig.10 is a structural block diagram of a device for recommending and adjusting an operation strategy according to an embodiment of the present disclosure;

[0029] Fig.11 is a structural block diagram of an electronic device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0030] In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, rather than all the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present disclosure.

[0031] It is understandable that before using the technical solutions disclosed in the embodiments of the present disclosure, the types, scope of use, usage scenarios, etc. of the personal information involved in the present disclosure should be informed to the user and the user's authorization should be obtained in an appropriate manner in accordance with relevant laws and regulations.

[0032] For example, in response to receiving an active request from a user, a prompt message is sent to the user to clearly prompt the user that the operation requested to be performed will require obtaining and using the user's personal information. Thus, the user can autonomously choose whether to provide personal information to software or hardware such as an electronic device, application, server, or storage medium that performs the operation of the technical solution of the present disclosure according to the prompt message.

[0033] As an optional but non-limiting implementation, in response to receiving an active request from the user, the prompt information may be sent to the user in the form of a pop-up window, in which the prompt information may be presented in text form. In addition, the pop-up window may also carry a selection control for the user to choose "agree" or "disagree" to provide personal information to the electronic device.

[0034] It is understandable that the above notification and the process of obtaining user authorization are merely illustrative and do not constitute a limitation on the implementation of the present disclosure. Other methods that meet the relevant laws and regulations may also be applied to the implementation of the present disclosure.

[0035] It is understandable that the data involved in this technical solution (including but not limited to the data itself, the acquisition or use of the data) shall comply with the requirements of relevant laws, regulations and relevant provisions.

[0036] At present, the management of product inventory, warehousing, supply chain and logistics operations is one of the key factors affecting product satisfaction. In related technologies, the adjustment of operation strategies depends on the historical sales data and market trend analysis of products. However, this adjustment method cannot respond to changes in the market environment in a timely manner, resulting in a lag in the update of product operation strategies.

[0037] When faced with the above problems, the following solutions are proposed in the relevant technologies:

[0038] The first method is to use historical sales data and market trends to build time series models or machine learning models to predict the development trend of operational strategies such as inventory, warehousing, supply chain and logistics, so as to adjust operational strategies. However, these models mainly rely on historical data and are difficult to respond to sudden market changes or news events in a timely manner. The real-time and accuracy of operational strategy adjustments are low.

[0039] The second method is to evaluate market demand and supply through market research and expert analysis, and then adjust the operation strategy. However, this method is time-consuming and relies on the subjective judgment of experts, making it difficult to achieve real-time adjustment of the operation strategy.

[0040] The third type is that the rule engine and automation system automatically adjust the product operation strategy based on predefined rules and conditions. For example, when the inventory is below a certain threshold, it will automatically replenish the stock. However, the flexibility and adaptability of the rule engine are poor, and it is difficult to cope with complex and changing market environments and emergencies.

[0041] Therefore, how to quickly and accurately adjust product operation strategies when the market environment changes remains an urgent problem to be solved.

[0042] In view of this, according to an embodiment of the present disclosure, an embodiment of a recommended adjustment method for a first operating strategy is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0043] In this embodiment, a first operation strategy recommendation adjustment method is provided, which can be used in an operation strategy recommendation system. Figure 1 is a flowchart of a recommended adjustment method for a first operation strategy according to an embodiment of the present disclosure, such as Figure 1 As shown, the process includes the following steps:

[0044] Step S101 , in response to the acquired product information, displaying the product information and at least one business problem for the target product on an information processing page, where the business problem is obtained based on the product information.

[0045] Specifically, the product information includes at least one of the relevant information of the target product and the product description, wherein the relevant information of the target product may be news information related to the target product, or related graphic information, or related video information, etc.

[0046] Specifically, relevant information of the target product can be collected through an external interface, and product information can be extracted from the relevant information using natural language processing (NLP) and a language model. Alternatively, product information can be obtained based on relevant information analysis in response to relevant information input into an input control of an information processing page. Alternatively, product information can be obtained in response to information input into an input control of an information processing page. In addition, product information that has changed can also be obtained by monitoring product information stored in a target database. Thus, at least one business problem for the target product is generated based on the product information. The method for obtaining product information is not limited herein.

[0047] Specifically, the business problem is a business intelligence (Business Intelligence, BI for short) problem.

[0048] Step S102, in response to a data query instruction for a target business problem, a target data source and a target query parameter are displayed on a data query page, and the target data source matches the target business problem and the target product.

[0049] Specifically, correlation matching is performed in multiple data sources based on the target business question and the target product to determine the target data source. After the target data source is determined, correlation matching is performed based on the target business question and the description field in the target data source to determine the target query parameter.

[0050] The multiple data sources may be product-related data tables in the target database, such as an order data table.

[0051] Step S103, obtaining a target query result corresponding to the target business problem to obtain a recommended operation adjustment strategy for the target product, wherein the target query result is obtained by querying the target data source based on the target query parameters.

[0052] Specifically, the target business problem is converted into a query statement of Structured Query Language (SQL) through Natural Language Processing to Structured Query Language (NLP2SQL) technology. The query statement includes the target data source and the target query parameters, and the data related to the target business problem is searched based on the query statement to obtain the target query result. Then, the language model is used to analyze the target query result, provide decision support for the operation strategy, and generate the recommended operation adjustment strategy.

[0053] Optionally, the recommended operation adjustment strategy includes an adjustment strategy for operation parameters of the target product, and the operation parameters include at least one of inventory, warehousing, supply chain and logistics. In addition, the operation parameters may also be other parameters related to the operation of the target product.

[0054] Step S104: display the target query results and the recommended operation adjustment strategy on the information processing page.

[0055] Specifically, the target query results and recommended operation strategies can be displayed on the information processing page according to the preset information template.

[0056] It should be noted that after obtaining the recommended operation adjustment strategy, the recommended operation adjustment strategy can also be pushed to relevant users of the target product in the form of message cards, so that users can adjust the target product's operation strategy according to the recommended operation adjustment strategy.

[0057] The recommended adjustment method for the operation strategy provided in this embodiment responds to the acquired product information and displays the business problem obtained based on the product information. Therefore, it is possible to respond to market changes in a timely manner through product information and generate business problems for analyzing the trend of operation strategy changes. Then, data query is performed through the target business problem, and a recommended operation adjustment strategy is obtained based on the query results. Therefore, when the market environment or product information changes, the recommended operation adjustment strategy can be used to update the operation strategy of the relevant product in a timely manner.

[0058] In this embodiment, a second operation strategy recommendation adjustment method is provided, which can be used in an operation strategy recommendation system. Figure 2 is a flowchart of a recommended adjustment method for a second operation strategy according to an embodiment of the present disclosure, such as Figure 2 As shown, the process includes the following steps:

[0059] Step S201, in response to the acquired product information, the product information and at least one business problem for the target product are displayed on the information processing page, the business problem is obtained based on the product information, the product information is obtained by collecting relevant information of the target product through a preset interface according to a collection cycle, or the product information is obtained in an interactive manner.

[0060] Exemplarily, the relevant information of the target product may be news information related to the target product, or related graphic information, or related video information, etc.

[0061] Specifically, relevant information of the target product is collected according to the collection period through a preset interface, and product information is extracted from the relevant information using natural language processing and a first language model. Alternatively, product information is extracted from the relevant information in an interactive manner in response to relevant information input in an input control of an information processing page. Alternatively, product information is acquired in an interactive manner in response to product information input in an input control of an information processing page.

[0062] Specifically, if the product information is obtained in an interactive manner, the above step S201 includes:

[0063] Step S2011, in response to the acquired product information, the product information is displayed on the information processing page and the processing of the first language model is triggered.

[0064] It should be noted that the first language model is related to the business scenario corresponding to the product information. For example, if the product information corresponds to an e-commerce scenario, the first language model is a language model applicable to the e-commerce scenario. If the product information corresponds to a house rental scenario, the first language model is a language model applicable to the house rental scenario. In addition, the first language model can also be a language model applicable to multiple business scenarios, which is not limited here.

[0065] Step S2012: Obtain analysis results of the first language model on the product information.

[0066] Specifically, the product information is analyzed based on the first language model to determine a product description of the target product, and at least one business question for the target product is generated based on the first language model and the product description to obtain an analysis result.

[0067] Step S2013: displaying the analysis result on the information processing page, where the analysis result includes at least one business problem of the target product.

[0068] Optionally, the analysis results also include a product description.

[0069] Step S202, in response to the data query instruction for the target business question, the target data source and the target query parameters are displayed on the data query page, and the target data source matches the target business question and the target product. Please refer to the above step S102, which will not be repeated here.

[0070] Step S203, obtaining the target query result corresponding to the target business problem to obtain the recommended operation adjustment strategy for the target product, the target query result is obtained by querying the target data source based on the target query parameter. Please refer to the above step S103, which will not be described in detail here.

[0071] Step S204: Display the target query result and the recommended operation adjustment strategy on the information processing page. Please refer to the above step S104, which will not be described in detail here.

[0072] The recommended adjustment method for the operation strategy provided in this embodiment collects relevant information of the target product according to the collection cycle through a preset interface or obtains product information through an interactive method. Therefore, it is possible to use product information to quickly respond to market changes. Furthermore, in response to the acquired product information, the first language model is triggered to analyze the product information to obtain at least one business problem of the corresponding target product, so as to facilitate further decision analysis. Data query is automatically performed using business problems to generate recommended operation adjustment strategies corresponding to the product information. Therefore, it is possible to better respond to changes in market demand and update operation strategies in a timely manner.

[0073] In some optional embodiments, the information processing page is also used to display a product description of the target product, where the product description and at least one business question are obtained by analyzing the product information based on a first language model, and the product description and at least one business question are displayed on the information processing page based on a first preset information template.

[0074] Optionally, the product description includes at least one of a product category, a product name, a predicted operation change trend, and a change reason of the target product. The product category includes at least one level of subcategories. The predicted operation change trend includes predicted change trends of operation strategies such as predicted inventory change trend, predicted warehousing change trend, predicted supply chain change trend, and predicted logistics change trend.

[0075] Specifically, the first preset information template is used to determine the display mode of the product description and the at least one business question, for example, the product description and the at least one business question are displayed in JavaScript Object Notation (JSON for short) format.

[0076] The recommended adjustment method for the operation strategy provided in this embodiment displays the product description and at least one business problem on the information processing page based on the first preset information template, thereby improving the credibility of the business problem.

[0077] For example, Figure 3As shown, assume that the product information is "[Five provinces have experienced large-scale heavy rainfall recently] As of 16:00 on October 18, the rainfall in Province 1, Province 2, Province 3, Province 4, and Province 5 reached the level of heavy rain. Among them, the rainfall in Province 1 even reached the level of rainstorm.". The target product corresponding to this product information is waterproof cloth. The product description of waterproof cloth includes: the product category is household goods, the subcategory is waterproof products, the product name is waterproof cloth, the predicted inventory change trend is a possible decrease, and the reason for the change is "Heavy rainfall in many provinces has increased the demand for waterproof products." The business questions generated for waterproof cloth include: "In Province 1, how has the sales volume of waterproof cloth changed in the past month?", "How has the inventory of waterproof cloth in Province 1 changed in the past month?", "Has the supply chain of waterproof cloth in Province 1 been affected by heavy rainfall?". Then you can use Figure 3 The first preset information template shown displays the product description and business question of the product information.

[0078] For example, Figure 4 As shown in the figure, assume that the product information is "According to people familiar with the matter, the settlement fee of Company D for the lawsuit regarding the material safety issues of water cups has increased by more than 1 billion." The target product corresponding to this product information is a water cup. The product description of the water cup includes: the product category is daily necessities, the subcategory is household utensils, the product name is water cup, the predicted inventory change trend is a possible increase, and the reason for the change is "Company D has increased the settlement fee for the lawsuit regarding material safety issues, and consumer confidence may decline." The business questions generated for water cups include: "How has the sales volume of water cups changed in the past year?", "How has the inventory of water cups changed in the past year?", "Has the market demand for water cups been affected by the Johnson & Johnson lawsuit?". Then you can use Figure 4 The first preset information template shown displays the product description and business question of the product information.

[0079] In some optional implementations, the recommended adjustment method of the operation strategy of the present disclosure further includes: if the query of the target business question fails, generating feedback information for the target business question, and the feedback information is used to update the model parameters of the first language model.

[0080] The recommended adjustment method for operation strategy provided in this embodiment updates the model parameters of the first language model based on the feedback information of the target business problem that failed to be queried. Therefore, the accuracy of the business problem generated by the first language model can be improved, so as to further improve the accuracy of the recommended operation adjustment strategy.

[0081] In this embodiment, a third operation strategy recommendation adjustment method is provided, which can be used in an operation strategy recommendation system. Figure 5 is a flowchart of a method for recommending adjustment of a third operation strategy according to an embodiment of the present disclosure, such as Figure 5As shown, the process includes the following steps:

[0082] Step S301, in response to the acquired product information, display the product information and at least one business problem for the target product on the information processing page, where the business problem is obtained based on the product information. Please refer to the above step S201, which will not be described in detail here.

[0083] Step S302, in response to a data query instruction for a target business problem, a target data source and a target query parameter are displayed on a data query page, and the target data source matches the target business problem and the target product.

[0084] Specifically, the above step S302 includes:

[0085] Step S3021, in response to a data query instruction for a target business problem, determining a target data source, wherein the target data source includes at least one description field.

[0086] Specifically, matching is performed among multiple data sources based on target business issues to determine the target data source.

[0087] Optionally, the multiple data sources include order data tables for multiple products.

[0088] Step S3022: Obtain a matching result between the target business question and at least one description field to determine a target query parameter.

[0089] Optionally, the target query parameter includes at least one of a query dimension, a query index, and a query condition.

[0090] It is understandable that the target data source may contain description fields of multiple dimensions and indicators. In order to improve data query efficiency, the query dimensions, query indicators and corresponding query conditions can be determined based on the correlation between the target business problem and the description field.

[0091] Step S3023, displaying the target data source and target query parameters on the data query page.

[0092] For example, Figure 6 As shown in the figure, assuming that the target business question is "How has the sales volume of waterproof cloth changed in the past month in Province 1", the data related to the sales volume of waterproof cloth can be determined as the target data source. And the query dimensions include payment date, the query indicators include sales volume, and the query conditions include payment date in the last month, sales area is Province 1, and product name is waterproof cloth.

[0093] Step S303, obtaining the target query result corresponding to the target business problem to obtain the recommended operation adjustment strategy for the target product, the target query result is obtained by querying the target data source based on the target query parameter. Please refer to the above step S103, which will not be described in detail here.

[0094] Step S304: Display the target query result and the recommended operation adjustment strategy on the information processing page. Please refer to the above step S104, which will not be described in detail here.

[0095] The recommended adjustment method for operation strategy provided in this embodiment determines the target query parameter based on the matching result between the target business problem and at least one description field in the target data source, thereby improving the accuracy of data query.

[0096] In some optional embodiments, the recommended adjustment method of the operational strategy disclosed herein also includes: modifying the target data source and / or target query parameters in response to modification instructions for the target data source and / or target query parameters; obtaining and displaying updated target query results corresponding to the target business problem, the updated target query results being obtained based on the modified target data source and / or modified target query parameters.

[0097] Specifically, the modification of the target data source and the target query parameter includes at least one of adding, deleting, and modifying.

[0098] For example, Figure 6 As shown, a modification control is displayed in the area corresponding to the target data source, and a modification instruction of the target data source can be generated in response to the interactive operation of the modification control to modify the target data source. Corresponding add controls are displayed in the areas where the query dimension, query indicator, and query condition are located, and a modification instruction of the corresponding target query parameter can be generated in response to the interactive operation of the add control to add the target query parameter. Alternatively, a modification instruction of the corresponding target query parameter is generated in response to the interactive operation on the target query parameter to modify or delete the target query parameter.

[0099] The recommended adjustment method for the operation strategy provided in this embodiment modifies the target data source and / or the target query parameter in response to the modification instruction for the target data source and / or the target query parameter to update the target query result. Therefore, when the query result or the recommended operation adjustment strategy does not meet the requirements, the query result and the recommended operation adjustment strategy can be adjusted by adjusting the data source or the query parameter.

[0100] In this embodiment, a fourth operation strategy recommendation adjustment method is provided, which can be used in an operation strategy recommendation system. Figure 7is a flowchart of a method for recommending adjustment of a fourth operation strategy according to an embodiment of the present disclosure, such as Figure 7 As shown, the process includes the following steps:

[0101] Step S401, in response to the acquired product information, the product information and at least one business problem for the target product are displayed on the information processing page, where the business problem is obtained based on the product information. Please refer to the above step S201, which will not be described in detail here.

[0102] Step S402, in response to a data query instruction for a target business problem, a target data source and a target query parameter are displayed on a data query page, the target data source matches the target business problem and the target product, and the target business problem is obtained by screening at least one business problem based on the correlation between at least one business problem and product information.

[0103] Specifically, in the case of multiple business problems, a preset number of business problems can be screened out as target business problems in descending order of relevance based on the relevance between the business problems and the product information. Alternatively, a preset proportion of business problems can be screened out as target business problems in descending order of relevance. Alternatively, business problems with relevance greater than a preset threshold can be screened out as target business problems.

[0104] Step S403, obtaining a target query result corresponding to the target business problem to obtain a recommended operation adjustment strategy for the target product, wherein the target query result is obtained by querying the target data source based on the target query parameters.

[0105] Specifically, if there are multiple target business issues, the above step S403 includes:

[0106] Step S4031, obtaining target query results corresponding to each target business question.

[0107] Specifically, the target data source and target query parameters corresponding to each target business question are displayed on the data query page. Data query is performed according to the target data source and target query parameters corresponding to each target business question to obtain the target query results corresponding to each target business question.

[0108] Step S4032, triggering the second language model to perform a fusion analysis on all target query results to obtain a recommended operation adjustment strategy for the target product.

[0109] Specifically, the second language model comprehensively analyzes each target query result and generates a recommended operation adjustment strategy for the target product.

[0110] Step S404: display the target query results and the recommended operation adjustment strategy on the information processing page.

[0111] The recommended adjustment method for operation strategy provided in this embodiment triggers the second language model to perform fusion analysis on the target query results of each target business problem when there are multiple target business problems, so as to facilitate comprehensive analysis and operation trend prediction, thereby obtaining a recommended operation adjustment strategy. Therefore, through multi-source data integration and language model analysis, decision support for operation adjustment strategy can be provided, thereby improving the accuracy of recommended operation adjustment strategy.

[0112] In some optional embodiments, the above step S404 also includes: displaying the target query results and recommended operation adjustment strategies on the information processing page based on a second preset information template, and the second preset information template is used to determine the information fields displayed on the information processing page for the target query results, as well as the display formats of the information fields and the recommended operation adjustment strategies.

[0113] The recommended adjustment method for operation strategy provided in this embodiment displays the target query result and the recommended operation adjustment strategy through the second preset information template, thereby improving the readability of the target query result and the recommended operation adjustment strategy and improving the credibility of the recommended operation adjustment strategy.

[0114] For example, Figure 8 As shown in the figure, assuming that the target business question is "In province 1, how has the sales volume of waterproof cloth changed in the past month?", the target query result of the target business question is "In province 1, how has the sales volume of waterproof cloth changed in the past month: gradually increasing, and the rate of increase has become faster." The target query result displays the information fields of product name, region, sales trend, and sales volume change in the information processing page. Figure 8 The second preset information template shown displays the information fields of the target query result and the recommended operation adjustment strategy.

[0115] As a specific example, the product information is extracted based on the relevant information of the target product, and the target data source is the order data table of the target product. Fig. 9A system architecture of a recommended adjustment method for an operation strategy based on the present disclosure is shown. In the system architecture, a product information acquisition module, a business problem generation module, a data query module, a data analysis module and a decision support module are included. Among them, the product information acquisition module collects relevant information of the target product based on a preset interface and extracts product information from the relevant information. Then, the product information acquisition module sends the product information to the business problem generation module, generates at least one business problem using a first language model, and sends the at least one business problem to the data query module. The data query module converts the target business problem into a structured query language based on natural language processing to a structured query language, queries data in the order data table of the target product stored in the target database through the structured query language to obtain a target query result, and sends the target query result to the data analysis module. The data analysis module analyzes the target query result using a second language model to obtain analysis data, and sends the analysis data to the decision support module. The decision support module generates a recommended operation adjustment plan based on the analysis data to adjust the operation strategy of the target product according to the recommended operation adjustment strategy. Therefore, it is possible to introduce language models and natural language processing technology to extract key information from news information, generate targeted business questions, and integrate them with order data, thereby realizing the complete process from news information to recommended operational adjustment strategies, so as to achieve real-time and accurate recommendation and adjustment of the operational strategy of the target product.

[0116] As a specific application example, an operation strategy recommendation system is installed on an electronic device. The operation strategy recommendation system is configured with a target program for executing the recommended adjustment method of the operation strategy disclosed in the present invention. The server of the operation strategy recommendation system collects relevant information of the target product through a preset interface to analyze and obtain product information and at least one business problem of the target product. The product information and business problem are sent to the client of the operation strategy recommendation system, and the client displays the product information and the corresponding business problem on the information processing page. At the same time, the server matches the target data source (for example, the order data table of the target product) and the corresponding target query parameters in the target database based on the target business problem and the target product, and sends them to the client for display. The client obtains the target query result of the target business problem queried by the server, and the recommended operation adjustment strategy obtained based on the target query result, and displays it on the information processing page, so that the user can adjust the operation strategy of the target product according to the recommended operation adjustment strategy. If the user is not satisfied with the recommended operation adjustment strategy, the target data source and the target query parameter can be modified through the client to obtain the updated recommended operation adjustment strategy.

[0117] It is worth noting that the recommended adjustment method of the operation strategy disclosed in the present invention has the following characteristics: First, the present invention uses natural language processing and the first language model to extract key information from product information and generate business problems to obtain recommended operation adjustment strategies. Therefore, it is possible to achieve real-time response to sudden market changes or news events and quickly adjust product operation strategies. Second, the present invention improves the accuracy of predicting the trend of operation strategy changes through multi-source data integration and second language model analysis, and can overcome the problems of relying on historical data and low prediction real-time and accuracy in related technologies. Third, the present invention uses a language model to analyze the fused target query results, provide automated decision support, generate corresponding recommended operation adjustment strategies, and improve the scientificity and reliability of the recommended operation adjustment strategies. Fourth, the present invention uses the conversion technology from natural language processing to structured query language to effectively integrate product information with product data (such as order data), realize comprehensive analysis of multi-source data, and overcome the problem of data integration difficulties in related technologies. Fifth, the present invention can better respond to changes in market demand and improve product satisfaction by adjusting product inventory, warehousing, supply chain and logistics operation strategies in real time and accurately. Sixth, the present disclosure implements a complete process from product information extraction to the final recommended operation adjustment strategy, ensuring the integrity and efficiency of the operation strategy adjustment. Seventh, the present disclosure reduces the dependence on market research and expert analysis through automated information extraction, data integration and decision support, can reduce the impact of manual intervention and subjective judgment, and improve the objectivity and efficiency of operation strategy adjustment. Eighth, the present disclosure can cope with complex and changing market environments and emergencies through a flexible rule engine (i.e., generating business problems based on product information to perform data search and generate rule configurations for recommended operation adjustment strategies) and language model analysis, and provide flexible recommended operation adjustment strategies. Therefore, the present disclosure can solve a series of problems such as insufficient real-time adjustment of operation strategies, difficulty in data integration, low accuracy in development trend predictions, and lack of automated analysis.

[0118] In this embodiment, a recommended adjustment device for an operation strategy is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and will not be repeated hereafter. As used below, the term "module" may be a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0119] This embodiment provides a recommended adjustment device for an operation strategy, such as Fig.10 As shown, including:

[0120] An information processing module 501 is used to display the product information and at least one business problem for the target product on an information processing page in response to the acquired product information, where the business problem is obtained based on the product information;

[0121] A parameter matching module 502, for displaying a target data source and a target query parameter on a data query page in response to a data query instruction for a target business problem, wherein the target data source matches the target business problem and the target product;

[0122] The data analysis module 503 is used to obtain a target query result corresponding to the target business problem to obtain a recommended operation adjustment strategy for the target product. The target query result is obtained by querying the target data source based on the target query parameter.

[0123] The result display module 504 is used to display the target query results and the recommended operation adjustment strategies on the information processing page.

[0124] In some optional implementations, the product information is obtained by collecting relevant information of the target product through a preset interface according to a collection period, or the product information is obtained in an interactive manner.

[0125] In some optional implementations, the information processing module 501 includes:

[0126] A first model triggering unit, configured to display the product information on the information processing page and trigger processing of the first language model in response to the acquired product information if the product information is obtained in an interactive manner;

[0127] An analysis result acquisition unit, used to acquire the analysis result of the first language model on the product information;

[0128] The analysis result display unit is used to display the analysis result on the information processing page, where the analysis result includes at least one business problem of the target product.

[0129] In some optional embodiments, the information processing page is also used to display a product description of the target product, where the product description and at least one business question are obtained by analyzing the product information based on a first language model, and the product description and at least one business question are displayed on the information processing page based on a first preset information template.

[0130] In some optional implementations, the parameter matching module 502 includes:

[0131] A source matching unit, configured to determine a target data source in response to a data query instruction for a target business problem, wherein the target data source includes at least one description field;

[0132] A parameter matching unit, used to obtain a matching result between a target business question and at least one description field to determine a target query parameter;

[0133] The data display unit is used to display the target data source and target query parameters on the data query page.

[0134] In some optional implementations, the operation strategy recommendation and adjustment device of the present disclosure further includes:

[0135] A data modification module, configured to modify the target data source and / or the target query parameter in response to a modification instruction for the target data source and / or the target query parameter;

[0136] The result updating module is used to obtain and display the updated target query result corresponding to the target business question, where the updated target query result is obtained based on the modified target data source and / or the modified target query parameter.

[0137] In some optional implementations, the target business problem is obtained by screening at least one business problem based on the relevance between the at least one business problem and the product information.

[0138] In some optional implementations, the data analysis module 503 includes:

[0139] A result acquisition unit, used to acquire target query results corresponding to each target business question if there are multiple target business questions;

[0140] The data analysis unit is used to trigger the second language model to perform a fusion analysis on all target query results to obtain a recommended operation adjustment strategy for the target product.

[0141] In some optional implementations, the result display module 504 includes:

[0142] A result display unit is used to display the target query results and recommended operation adjustment strategies on the information processing page based on a second preset information template. The second preset information template is used to determine the information fields displayed on the information processing page for the target query results, as well as the display formats of the information fields and the recommended operation adjustment strategies.

[0143] In some optional implementations, the operation strategy recommendation and adjustment device of the present disclosure further includes:

[0144] The data feedback module is used to generate feedback information for the target business question if the query of the target business question fails, and the feedback information is used to update the model parameters of the first language model.

[0145] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0146] The recommended adjustment device for the operation strategy in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0147] The present disclosure also provides an electronic device having the above Fig.10 The recommended adjustment means for the operating strategy are shown.

[0148] See also Fig.11 , Fig.11 is a structural block diagram of an electronic device provided by an optional embodiment of the present disclosure, such as Fig.11 As shown, the electronic device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. The various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process instructions executed in the electronic device, including instructions stored in or on the memory to display graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple electronic devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Fig.11 A processor 10 is taken as an example.

[0149] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0150] The memory 20 stores instructions executable by at least one processor 10, so that at least one processor 10 executes the method shown in the above embodiment.

[0151] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the electronic device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0152] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 20 may also include a combination of the above types of memory.

[0153] The electronic device further includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30 and the output device 40 may be connected via a bus or other means. Fig.11 The example of connecting through bus is taken in the following.

[0154] The input device 30 can receive input digital or character information, and generate key signal input related to the user settings and function control of the electronic device, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, an indicator rod, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 may include a display device, an auxiliary lighting device (e.g., an LED) and a tactile feedback device (e.g., a vibration motor), etc. The above-mentioned display device includes but is not limited to a liquid crystal display, a light emitting diode, a display and a plasma display. In some optional embodiments, the display device can be a touch screen.

[0155] The embodiments of the present disclosure also provide a computer-readable storage medium. The above-mentioned method according to the embodiments of the present disclosure can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium and downloaded through a network, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state drive, etc.; further, the storage medium can also include a combination of the above-mentioned types of memory. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0156] A part of the present disclosure may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present disclosure through the operation of the computer. Those skilled in the art should understand that the existence of computer program instructions in computer-readable media includes, but is not limited to, source files, executable files, installation package files, etc., and accordingly, the way in which computer program instructions are executed by a computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to the computer.

[0157] Although the embodiments of the present disclosure have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present disclosure, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A method for recommending and adjusting an operation strategy, characterized in that: The method comprises: In response to the acquired product information, displaying the product information and at least one business problem for the target product on an information processing page, wherein the business problem is obtained based on the product information; In response to a data query instruction for a target business question, a target data source and a target query parameter are displayed on a data query page, wherein the target data source matches the target business question and the target product; Obtaining a target query result corresponding to the target business problem to obtain a recommended operation adjustment strategy for the target product, wherein the target query result is obtained by querying the target data source based on the target query parameter; The target query result and the recommended operation adjustment strategy are displayed on the information processing page.

2. The method according to claim 1, characterized in that The product information is obtained by collecting relevant information of the target product through a preset interface according to a collection period, or the product information is obtained in an interactive manner.

3. The method according to claim 2, characterized in that If the product information is obtained in an interactive manner, the product information and at least one business question for the target product are displayed on the information processing page in response to the obtained product information, including: In response to the acquired product information, displaying the product information on the information processing page and triggering processing of the first language model; Obtaining analysis results of the product information by the first language model; The analysis result is displayed on the information processing page, wherein the analysis result includes at least one business problem of the target product.

4. The method according to claim 1, characterized in that: The information processing page is also used to display a product description of the target product, wherein the product description and the at least one business problem are obtained by analyzing the product information based on a first language model, and the product description and the at least one business problem are displayed on the information processing page based on a first preset information template.

5. The method according to claim 1, characterized in that In response to the data query instruction for the target business problem, the target data source and the target query parameters are displayed on the data query page, including: In response to a data query instruction for the target business problem, determining the target data source, wherein the target data source includes at least one description field; Obtaining a matching result between the target business question and the at least one description field to determine the target query parameter; The target data source and the target query parameters are displayed on the data query page.

6. The method according to claim 5, characterized in that The method further comprises: In response to a modification instruction for the target data source and / or the target query parameter, modify the target data source and / or the target query parameter; An updated target query result corresponding to the target business question is obtained and displayed, wherein the updated target query result is obtained based on the modified target data source and / or the modified target query parameter.

7. The method according to claim 1, characterized in that The target business problem is obtained by screening the at least one business problem based on the relevance between the at least one business problem and the product information.

8. The method according to claim 7, characterized in that If there are multiple target business problems, obtaining the target query results corresponding to the target business problems to obtain the recommended operation adjustment strategy for the target product includes: Obtain target query results corresponding to each of the target business issues; The second language model is triggered to perform a fusion analysis on all the target query results to obtain a recommended operation adjustment strategy for the target product.

9. The method according to claim 1, characterized in that: Displaying the target query result and the recommended operation adjustment strategy on the information processing page includes: The target query result and the recommended operation adjustment strategy are displayed on the information processing page based on a second preset information template, and the second preset information template is used to determine the information field displayed on the information processing page of the target query result, as well as the display format of the information field and the recommended operation adjustment strategy.

10. The method according to claim 3, characterized in that: The method further comprises: If the query of the target business question fails, feedback information for the target business question is generated, and the feedback information is used to update the model parameters of the first language model.

11. A device for recommending and adjusting an operation strategy, characterized in that: The device comprises: an information processing module, configured to, in response to the acquired product information, display the product information and at least one business question for a target product on an information processing page, wherein the business question is obtained based on the product information; A parameter matching module, for displaying a target data source and a target query parameter on a data query page in response to a data query instruction for a target business question, wherein the target data source matches the target business question and the target product; A data analysis module, used to obtain a target query result corresponding to the target business problem to obtain a recommended operation adjustment strategy for the target product, wherein the target query result is obtained by querying the target data source based on the target query parameter; A result display module is used to display the target query result and the recommended operation adjustment strategy on the information processing page.

12. An electronic device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the recommended adjustment method for the operating strategy according to any one of claims 1 to 10 by executing the computer instructions.

13. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the recommended adjustment method for the operating strategy according to any one of claims 1 to 10.

14. A computer program product, characterized in that The method comprises computer instructions for causing a computer to execute the method for recommending adjustment of an operation strategy according to any one of claims 1 to 10.

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