AI intelligent marketing system and method based on big data

Abstract

The invention discloses an AI intelligent marketing system and method based on big data, and belongs to the technical field of marketing systems.The AI intelligent marketing system comprises a central processing communication system, an AI big data marketing generation system, a data acquisition module, an intelligent recommendation module and an information pushing module; the central processing communication system is connected with the AI big data marketing generation system, the data acquisition module and the information push module, and the AI big data marketing generation system is connected with the intelligent recommendation module; through the above mode, the technology of the invention realizes the generation of the accurate marketing video through AI big data, and reduces the time for a user to screen a mobile phone model.

Description

Technical Field

[0001] The present invention relates to the technical field of marketing systems, and in particular to an AI intelligent marketing system based on big data and a method thereof. Background Art

[0002] AI intelligent marketing system refers to the use of artificial intelligence (AI) technology and algorithms to automatically analyze user behavior and preferences and carry out precise marketing.

[0003] Among many existing technologies, Chinese patent application CN111985981B discloses a mobile phone brand marketing data analysis system based on big data, which includes a controller, a brand screening module, a data acquisition module, an analysis and processing module, a data storage module and a report display module. The analysis and processing module includes a comparison analysis unit, a time series analysis unit and a data distribution analysis unit;

[0004] However, this patent application cannot achieve the intelligent generation of marketing videos based on users' usage evaluations of old mobile phones.

[0005] Based on this, the present invention designs an AI intelligent marketing system and method based on big data to solve the above problems. Summary of the invention

[0006] In view of the above-mentioned shortcomings of the prior art, the present invention provides an AI intelligent marketing system and method based on big data.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0008] An AI intelligent marketing system based on big data, comprising a central processing communication system, an AI big data marketing generation system, a data collection module, an intelligent recommendation module and an information push module, wherein the central processing communication system is connected to the AI ​​big data marketing generation system, the data collection module and the information push module, and the AI ​​big data marketing generation system is connected to the intelligent recommendation module;

[0009] The data collection module is used to collect mobile phone data and generate mobile phone labels. At the same time, the data collection module is also used to generate mobile phone evaluation questionnaires. The data collection module sends the mobile phone labels and mobile phone evaluation questionnaires to the intelligent recommendation module through the central processing communication system and the AI ​​big data marketing generation system in turn;

[0010] The intelligent recommendation module is used to filter out the recommended mobile phone brands and models after processing the received mobile phone labels and mobile phone evaluation questionnaires. The intelligent recommendation module also filters the stores selling mobile phones and generates purchase links for mobile phones. The intelligent recommendation module sends the filtered marketing models and purchase links to the AI ​​big data marketing generation system;

[0011] The AI ​​big data marketing generation system is used to collect and filter the evaluation videos based on the big data of the evaluation videos of the marketing models; and to combine the filtered evaluation videos with the purchase links to generate marketing videos. The AI ​​big data marketing generation system sends the marketing video data to the central processing communication system, and the central processing communication system sends it to the information push module;

[0012] The information push module is used to push marketing videos to users.

[0013] Furthermore, the central processing communication system includes a central processing unit and a communication module, the central processing unit is connected to the data acquisition module and the information push module, and the communication module is connected to the AI ​​big data marketing generation system;

[0014] The communication module is used for data transmission between the central processing unit and the AI ​​big data marketing generation system;

[0015] The data collection module sends the mobile phone label and the mobile phone evaluation questionnaire to the central processor, the central processor sends them to the communication module, and the communication module sends them to the AI ​​big data marketing generation system.

[0016] Furthermore, the AI ​​big data marketing generation system includes an AI big data marketing center, a marketing data generation module, an evaluation video screening module and an evaluation video acquisition module, wherein the AI ​​big data marketing center is connected to the marketing data generation module, the evaluation video acquisition module and the intelligent recommendation module, and the evaluation video screening module is connected to the marketing data generation module and the evaluation video acquisition module;

[0017] The AI ​​big data marketing center is used to receive the mobile phone label and mobile phone evaluation questionnaire sent by the communication module, and the AI ​​big data marketing center sends the mobile phone label and mobile phone evaluation questionnaire to the intelligent recommendation module. The AI ​​big data marketing center is also used to receive the model and purchase link sent by the intelligent recommendation module, and the AI ​​big data marketing center sends the model and purchase link to the marketing data generation module. The AI ​​big data marketing center sends the model to the evaluation video acquisition module;

[0018] The evaluation video collection module is used to collect evaluation videos from short video platforms and social platforms according to the marketing models selected by the intelligent recommendation module;

[0019] The evaluation video screening module is used to obtain the evaluation video from the evaluation video acquisition module and select the evaluation video with the highest number of views. The evaluation video screening module sends the evaluation video with the highest number of views to the AI ​​big data marketing center, and the AI ​​big data marketing center sends it to the marketing data generation module;

[0020] The marketing data generation module is used to combine the review video with the highest number of views with the purchase link to generate a marketing video. The marketing data generation module sends the marketing video to the AI ​​big data marketing center, the AI ​​big data marketing center sends it to the communication module, the communication module sends it to the central processing unit, and the central processing unit sends it to the information push module.

[0021] Furthermore, the data collection module includes a mobile phone identification module and a mobile phone satisfaction data collection module, and the mobile phone identification module and the mobile phone satisfaction data collection module are both connected to the central processing unit;

[0022] The mobile phone identification module is used to generate a mobile phone label including the brand and price of the mobile phone used by the user. The mobile phone identification module sends the mobile phone label to the intelligent recommendation module through the central processor, the communication module, and the AI ​​big data marketing center in sequence;

[0023] The mobile phone satisfaction data collection module is used to generate a mobile phone evaluation questionnaire. The mobile phone satisfaction data collection module sends the mobile phone evaluation questionnaire to the intelligent recommendation module through the central processing unit, the communication module, and the AI ​​big data marketing center in sequence.

[0024] Furthermore, the full score of the mobile phone evaluation questionnaire is 35. When the score is greater than or equal to 35.5 points, it is excellent; when the score is greater than or equal to 35.5 points and less than 35.5 points, it is average; when the score is less than 35.5 points, it is poor.

[0025] Furthermore, the intelligent recommendation module includes a brand screening module, a model screening module and a store screening module, and the brand screening module, the model screening module and the store screening module are all connected to the AI ​​big data marketing center.

[0026] Furthermore, the brand screening module is used to receive the mobile phone label and mobile phone evaluation questionnaire sent by the AI ​​big data marketing center. The brand screening module identifies the mobile phone label and the mobile phone evaluation questionnaire. If the evaluation is excellent, the brand screening module selects the mobile phone brand in the mobile phone label;

[0027] If the evaluation is good, two mobile phone brands will be randomly selected while filtering the mobile phone brands in the mobile phone label;

[0028] If the evaluation is poor, the mobile phone brand in the mobile phone label is eliminated and three mobile phone brands are randomly selected;

[0029] The brand screening module sends the screened mobile phone brands to the AI ​​big data marketing center, and the AI ​​big data marketing center sends them to the model screening module;

[0030] The model screening module is used to receive the mobile phone label sent by the AI ​​big data marketing center, and the model screening module screens the models of the mobile phone brand on sale whose prices are within the range of plus or minus 200 yuan in the mobile phone label;

[0031] When there are three mobile phone brands, one model from each brand within the screening range is randomly selected as the marketing model;

[0032] When there is only one mobile phone brand, three models of the brand within the screening range are randomly selected as marketing models;

[0033] The model screening module sends the marketing models to the AI ​​big data marketing center, and the AI ​​big data marketing center sends them to the marketing data generation module and the store screening module;

[0034] The store screening module is used to screen the sales stores of the marketing model. The store screening module accesses the e-commerce platform and selects the store with the highest sales volume of the marketing model as the recommended store. The store screening module generates a purchase link for the recommended store and sends it to the AI ​​big data marketing center, which sends it to the marketing data generation module.

[0035] In order to better achieve the purpose of the present invention, the present invention also provides a marketing method of an AI intelligent marketing system based on big data, comprising the following steps:

[0036] Step 1: The mobile phone identification module generates a mobile phone label including the brand and price of the mobile phone used by the user. The mobile phone identification module sends the mobile phone label to the brand screening module and the model screening module through the central processor, the communication module, and the AI ​​big data marketing center in sequence;

[0037] Step 2: The mobile phone satisfaction data collection module generates a mobile phone evaluation questionnaire, and the mobile phone satisfaction data collection module sends the mobile phone evaluation questionnaire to the brand screening module through the central processor, the communication module, and the AI ​​big data marketing center in sequence;

[0038] Step 3: The brand screening module identifies the mobile phone label and the mobile phone evaluation questionnaire. If the evaluation is excellent, the brand screening module selects the mobile phone brand in the mobile phone label;

[0039] If the evaluation is good, two mobile phone brands will be randomly selected while filtering the mobile phone brands in the mobile phone label;

[0040] If the evaluation is poor, the mobile phone brand in the mobile phone label is eliminated and three mobile phone brands are randomly selected;

[0041] The brand screening module sends the screened mobile phone brands to the AI ​​big data marketing center, and the AI ​​big data marketing center sends them to the model screening module;

[0042] Step 4: The model screening module screens the models of the mobile phone brands on sale whose prices are within the range of plus or minus 200 yuan in the mobile phone labels;

[0043] When there are three mobile phone brands, one model from each brand within the screening range is randomly selected as the marketing model;

[0044] When there is only one mobile phone brand, three models of the brand within the screening range are randomly selected as marketing models;

[0045] The model screening module sends the marketing models to the AI ​​big data marketing center, and the AI ​​big data marketing center sends them to the marketing data generation module and the store screening module.

[0046] Step 5: The store screening module accesses the e-commerce platform and selects the store with the highest sales volume of the marketing model as the recommended store. The store screening module generates the purchase link of the recommended store and sends it to the AI ​​big data marketing center, which then sends it to the marketing data generation module.

[0047] Step 6: The evaluation video collection module searches for marketing models and collects evaluation videos from short video platforms and social platforms;

[0048] Step 7: The evaluation video screening module screens the evaluation video with the highest number of views from the evaluation videos collected by the evaluation video collection module, and the evaluation video screening module sends the evaluation video with the highest number of views to the marketing data generation module;

[0049] Step 8: Combine the evaluation video with the highest number of views with the purchase link to generate a marketing video. The marketing data generation module sends the marketing video to the AI ​​big data marketing center, which sends it to the communication module, which sends it to the central processing unit, which sends it to the information push module.

[0050] Step nine, users browse marketing videos through the information push module.

[0051] The present invention has the following technical effects:

[0052] When the present invention is used, the data collection module collects the user's evaluation of the mobile phone in use and the data of the mobile phone in use, the intelligent recommendation module analyzes the mobile phone evaluation and the mobile phone data to intelligently screen out recommended models and purchase links, the AI ​​big data marketing generation system screens the evaluation videos of the recommended models and combines them with the purchase links to generate marketing videos, and the user browses the marketing videos through the information push module; thereby, the generation of marketing videos by AI big data can be achieved to reduce the time users spend on screening mobile phone models. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] 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 prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0054] Figure 1 A block diagram of an AI intelligent marketing system based on big data of the present invention Figure 1 ;

[0055] Figure 2 A block diagram of an AI intelligent marketing system based on big data of the present invention Figure 2 .

[0056] The numbers in the figure represent:

[0057] 1. Central processing communication system 11. Central processing unit 12. Communication module 2. AI big data marketing generation system 21. AI big data marketing center 22. Marketing data generation module 23. Evaluation video screening module 24. Evaluation video acquisition module 3. Data acquisition module 31. Mobile phone identification module 32. Mobile phone satisfaction data acquisition module 4. Intelligent recommendation module 41. Brand screening module 42. Model screening module 43. Store screening module 5. Information push module. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0059] The present invention will be further described below in conjunction with the embodiments.

[0060] The terms “left”, “right”, “front”, “back”, “up” and “down” mentioned in the following description are oriented in the viewing direction of the front view.

[0061] Example 1

[0062] Please refer to the instruction manual Figure 1-2, an AI intelligent marketing system based on big data, comprising a central processing communication system 1, an AI big data marketing generation system 2, a data collection module 3, an intelligent recommendation module 4 and an information push module 5, wherein the central processing communication system 1 is connected to the AI ​​big data marketing generation system 2, the data collection module 3 and the information push module 5, and the AI ​​big data marketing generation system 2 is connected to the intelligent recommendation module 4;

[0063] The data collection module 3 is used to collect mobile phone data and generate mobile phone labels. At the same time, the data collection module 3 is also used to generate mobile phone evaluation questionnaires. The data collection module 3 sends the mobile phone labels and mobile phone evaluation questionnaires to the intelligent recommendation module 4 through the central processing communication system 1 and the AI ​​big data marketing generation system 2 in sequence;

[0064] The intelligent recommendation module 4 is used to filter out the recommended mobile phone brands and models according to the received mobile phone labels and mobile phone evaluation questionnaires. The intelligent recommendation module 4 also filters the stores selling mobile phones and generates the purchase links of mobile phones. The intelligent recommendation module 4 sends the filtered marketing models and purchase links to the AI ​​big data marketing generation system 2;

[0065] The AI ​​big data marketing generation system 2 is used to collect and filter the evaluation videos based on the big data of the evaluation videos of the marketing models; and to combine the filtered evaluation videos with the purchase links to generate marketing videos. The AI ​​big data marketing generation system 2 sends the marketing video data to the central processing communication system 1, and the central processing communication system 1 sends it to the information push module 5;

[0066] The information push module 5 is used to push marketing videos to users.

[0067] When the present invention is used, the user's evaluation of the mobile phone in use and the data of the mobile phone in use are collected through the data collection module 3, the mobile phone evaluation and the mobile phone data are analyzed through the intelligent recommendation module 4 to intelligently screen out recommended models and purchase links, and the evaluation video of the recommended model is screened and combined with the purchase link to generate a marketing video through the AI ​​big data marketing generation system 2, and the user browses the marketing video through the information push module 5; thereby, AI big data is used to generate accurate marketing videos to reduce the time users spend on screening mobile phone models.

[0068] Example 2

[0069] like Figure 1-2 As shown, as a preferred embodiment of the present invention, the central processing communication system 1 includes a central processing unit 11 and a communication module 12, the central processing unit 11 is connected to the data acquisition module 3 and the information push module 5, and the communication module 12 is connected to the AI ​​big data marketing generation system 2;

[0070] The communication module 12 is used for data transmission between the central processor 11 and the AI ​​big data marketing generation system 2;

[0071] The data collection module 3 sends the mobile phone label and the mobile phone evaluation questionnaire to the central processor 11, the central processor 11 sends them to the communication module 12, and the communication module 12 sends them to the AI ​​big data marketing generation system 2.

[0072] The AI ​​big data marketing generation system 2 includes an AI big data marketing center 21, a marketing data generation module 22, an evaluation video screening module 23 and an evaluation video acquisition module 24. The AI ​​big data marketing center 21 is connected to the marketing data generation module 22, the evaluation video acquisition module 24 and the intelligent recommendation module 4. The evaluation video screening module 23 is connected to the marketing data generation module 22 and the evaluation video acquisition module 24.

[0073] The AI ​​big data marketing center 21 is used to receive the mobile phone label and the mobile phone evaluation questionnaire sent by the communication module 12, and the AI ​​big data marketing center 21 sends the mobile phone label and the mobile phone evaluation questionnaire to the intelligent recommendation module 4. The AI ​​big data marketing center 21 is also used to receive the model and purchase link sent by the intelligent recommendation module 4, and the AI ​​big data marketing center 21 sends the model and the purchase link to the marketing data generation module 22. The AI ​​big data marketing center 21 sends the model to the evaluation video collection module 24;

[0074] The evaluation video collection module 24 is used to collect evaluation videos from short video platforms and social platforms according to the marketing models selected by the intelligent recommendation module 4;

[0075] The evaluation video screening module 23 is used to obtain the evaluation video from the evaluation video collection module 24 and select the evaluation video with the highest number of views. The evaluation video screening module 23 sends the evaluation video with the highest number of views to the AI ​​big data marketing center 21, and the AI ​​big data marketing center 21 sends it to the marketing data generation module 22;

[0076] The marketing data generation module 22 is used to combine the evaluation video with the highest number of views with the purchase link to generate a marketing video. The marketing data generation module 22 sends the marketing video to the AI ​​big data marketing center 21, the AI ​​big data marketing center 21 sends it to the communication module 12, the communication module 12 sends it to the central processor 11, and the central processor 11 sends it to the information push module 5.

[0077] The data collection module 3 includes a mobile phone identification module 31 and a mobile phone satisfaction data collection module 32, and both the mobile phone identification module 31 and the mobile phone satisfaction data collection module 32 are connected to the central processor 11;

[0078] The mobile phone identification module 31 is used to generate a mobile phone label including the brand and price of the mobile phone used by the user. The mobile phone identification module 31 sends the mobile phone label to the intelligent recommendation module 4 through the central processor 11, the communication module 12, and the AI ​​big data marketing center 21 in sequence;

[0079] The mobile phone satisfaction data collection module 32 is used to generate a mobile phone evaluation questionnaire. The mobile phone satisfaction data collection module 32 sends the mobile phone evaluation questionnaire to the intelligent recommendation module 4 through the central processor 11, the communication module 12, and the AI ​​big data marketing center 21 in sequence;

[0080] The full score of the mobile phone evaluation questionnaire is 100 points. When the score is greater than or equal to 90 points, it is excellent; when the score is greater than or equal to 60 points and less than 90 points, it is fair; when the score is less than 60 points, it is poor.

[0081] The intelligent recommendation module 4 includes a brand screening module 41, a model screening module 42 and a store screening module 43, and the brand screening module 41, the model screening module 42 and the store screening module 43 are all connected to the AI ​​big data marketing center 21;

[0082] The brand screening module 41 is used to receive the mobile phone label and the mobile phone evaluation questionnaire sent by the AI ​​big data marketing center 21. The brand screening module 41 identifies the mobile phone label and the mobile phone evaluation questionnaire. If the evaluation is excellent, the brand screening module 41 selects the mobile phone brand in the mobile phone label;

[0083] If the evaluation is good, two mobile phone brands will be randomly selected while filtering the mobile phone brands in the mobile phone label;

[0084] If the evaluation is poor, the mobile phone brand in the mobile phone label is eliminated and three mobile phone brands are randomly selected;

[0085] The brand screening module 41 sends the screened mobile phone brands to the AI ​​big data marketing center 21, and the AI ​​big data marketing center 21 sends them to the model screening module 42;

[0086] The model screening module 42 is used to receive the mobile phone label sent by the AI ​​big data marketing center 21, and the model screening module 42 screens the models of the mobile phone brand on sale whose prices are within the range of plus or minus 200 yuan in the mobile phone label;

[0087] When there are three mobile phone brands, one model from each brand within the screening range is randomly selected as the marketing model;

[0088] When there is only one mobile phone brand, three models of the brand within the screening range are randomly selected as marketing models;

[0089] The model screening module 42 sends the marketing model to the AI ​​big data marketing center 21, and the AI ​​big data marketing center 21 sends it to the marketing data generation module 22 and the store screening module 43;

[0090] The store screening module 43 is used to screen the sales stores of the marketing model. The store screening module 43 accesses the e-commerce platform and selects the store with the highest sales volume of the marketing model as the recommended store. The store screening module 43 generates a purchase link for the recommended store and sends it to the AI ​​big data marketing center 21, and the AI ​​big data marketing center 21 sends it to the marketing data generation module 22.

[0091] Example 3

[0092] like Figure 1-2 As shown, as a preferred embodiment of the present invention, the present invention also provides a marketing method of an AI intelligent marketing system based on big data

[0093] Step 1: The mobile phone identification module 31 generates a mobile phone label including the brand and price of the mobile phone used by the user. The mobile phone identification module 31 sends the mobile phone label to the brand screening module 41 and the model screening module 42 through the central processor 11, the communication module 12, and the AI ​​big data marketing center 21 in sequence;

[0094] Step 2: The mobile phone satisfaction data collection module 32 generates a mobile phone evaluation questionnaire, and the mobile phone satisfaction data collection module 32 sends the mobile phone evaluation questionnaire to the brand screening module 41 through the central processor 11, the communication module 12, and the AI ​​big data marketing center 21 in sequence;

[0095] Step 3: the brand screening module 41 identifies the mobile phone label and the mobile phone evaluation questionnaire. If the evaluation is excellent, the brand screening module 41 selects the mobile phone brand in the mobile phone label;

[0096] If the evaluation is good, two mobile phone brands will be randomly selected while filtering the mobile phone brands in the mobile phone label;

[0097] If the evaluation is poor, the mobile phone brand in the mobile phone label is eliminated and three mobile phone brands are randomly selected;

[0098] The brand screening module 41 sends the screened mobile phone brands to the AI ​​big data marketing center 21, and the AI ​​big data marketing center 21 sends them to the model screening module 42;

[0099] Step 4, the model screening module 42 screens the models of the mobile phone brands on sale whose prices are within the range of plus or minus 200 yuan in the mobile phone labels;

[0100] When there are three mobile phone brands, one model from each brand within the screening range is randomly selected as the marketing model;

[0101] When there is only one mobile phone brand, three models of the brand within the screening range are randomly selected as marketing models;

[0102] The model screening module 42 sends the marketing model to the AI ​​big data marketing center 21 , and the AI ​​big data marketing center 21 sends it to the marketing data generation module 22 and the store screening module 43 .

[0103] Step 5: The store screening module 43 accesses the e-commerce platform and selects the store with the highest sales volume of the marketing model as the recommended store. The store screening module 43 generates a purchase link of the recommended store and sends it to the AI ​​big data marketing center 21, which then sends it to the marketing data generation module 22.

[0104] Step 6, the evaluation video collection module 24 searches for marketing models and collects evaluation videos from short video platforms and social platforms;

[0105] Step 7, the evaluation video screening module 23 screens the evaluation video with the highest number of views from the evaluation videos collected by the evaluation video collection module 24, and the evaluation video screening module 23 sends the evaluation video with the highest number of views to the marketing data generation module 22;

[0106] Step 8: Combine the evaluation video with the highest number of views with the purchase link to generate a marketing video. The marketing data generation module 22 sends the marketing video to the AI ​​big data marketing center 21. The AI ​​big data marketing center 21 sends the marketing video to the communication module 12. The communication module 12 sends the marketing video to the central processor 11. The central processor 11 sends the marketing video to the information push module 5.

[0107] Step nine, the user browses the marketing video through the information push module 5.

[0108] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An AI intelligent marketing system based on big data, characterized by: The system comprises a central processing communication system (1), an AI big data marketing generation system (2), a data collection module (3), an intelligent recommendation module (4) and an information push module (5), wherein the central processing communication system (1) is connected to the AI ​​big data marketing generation system (2), the data collection module (3) and the information push module (5), and the AI ​​big data marketing generation system (2) is connected to the intelligent recommendation module (4); The data collection module (3) is used to collect mobile phone data and generate mobile phone tags. The data collection module (3) is also used to generate mobile phone evaluation questionnaires. The data collection module (3) sends the mobile phone tags and the mobile phone evaluation questionnaires to the intelligent recommendation module (4) through the central processing communication system (1) and the AI ​​big data marketing generation system (2) in sequence. The intelligent recommendation module (4) is used to filter out the recommended mobile phone brands and models after processing the received mobile phone labels and mobile phone evaluation questionnaires. The intelligent recommendation module (4) also filters the stores that sell mobile phones and generates a purchase link for the mobile phones. The intelligent recommendation module (4) sends the filtered marketing models and purchase links to the AI ​​big data marketing generation system (2); The AI ​​big data marketing generation system (2) is used to collect and filter the evaluation videos based on the big data of the evaluation videos of the marketing models; and to combine the filtered evaluation videos with the purchase links to generate marketing videos. The AI ​​big data marketing generation system (2) sends the marketing video data to the central processing communication system (1), and the central processing communication system (1) sends it to the information push module (5); The information push module (5) is used to push marketing videos to users.

2. The AI ​​intelligent marketing system based on big data according to claim 1 is characterized in that: The central processing communication system (1) comprises a central processing unit (11) and a communication module (12), wherein the central processing unit (11) is connected to a data acquisition module (3) and an information push module (5), and the communication module (12) is connected to an AI big data marketing generation system (2); The communication module (12) is used for data transmission between the central processing unit (11) and the AI ​​big data marketing generation system (2); The data collection module (3) sends the mobile phone tag and the mobile phone evaluation questionnaire to the central processor (11), the central processor (11) sends them to the communication module (12), and the communication module (12) sends them to the AI ​​big data marketing generation system (2).

3. The AI ​​intelligent marketing system based on big data according to claim 2 is characterized in that: The AI ​​big data marketing generation system (2) comprises an AI big data marketing center (21), a marketing data generation module (22), an evaluation video screening module (23) and an evaluation video acquisition module (24), wherein the AI ​​big data marketing center (21) is connected to the marketing data generation module (22), the evaluation video acquisition module (24) and the intelligent recommendation module (4), and the evaluation video screening module (23) is connected to the marketing data generation module (22) and the evaluation video acquisition module (24); The AI ​​big data marketing center (21) is used to receive the mobile phone label and the mobile phone evaluation questionnaire sent by the communication module (12), and the AI ​​big data marketing center (21) sends the mobile phone label and the mobile phone evaluation questionnaire to the intelligent recommendation module (4). The AI ​​big data marketing center (21) is also used to receive the model and purchase link sent by the intelligent recommendation module (4), and the AI ​​big data marketing center (21) sends the model and the purchase link to the marketing data generation module (22). The AI ​​big data marketing center (21) sends the model to the evaluation video acquisition module (24); The evaluation video collection module (24) is used to collect evaluation videos from short video platforms and social platforms according to the marketing models selected by the intelligent recommendation module (4); The evaluation video screening module (23) is used to obtain the evaluation videos through the evaluation video acquisition module (24) and select the evaluation videos with the highest number of views. The evaluation video screening module (23) sends the evaluation videos with the highest number of views to the AI ​​big data marketing center (21), and the AI ​​big data marketing center (21) sends them to the marketing data generation module (22); The marketing data generation module (22) is used to combine the evaluation video with the highest number of views with the purchase link to generate a marketing video. The marketing data generation module (22) sends the marketing video to the AI ​​big data marketing center (21), the AI ​​big data marketing center (21) sends it to the communication module (12), the communication module (12) sends it to the central processing unit (11), and the central processing unit (11) sends it to the information push module (5).

4. The AI ​​intelligent marketing system based on big data according to claim 3 is characterized in that: The data collection module (3) comprises a mobile phone identification module (31) and a mobile phone satisfaction data collection module (32), and the mobile phone identification module (31) and the mobile phone satisfaction data collection module (32) are both connected to the central processing unit (11); The mobile phone identification module (31) is used to generate a mobile phone label including the brand and price of the mobile phone used by the user, and the mobile phone identification module (31) sends the mobile phone label to the intelligent recommendation module (4) through the central processor (11), the communication module (12), and the AI ​​big data marketing center (21) in sequence; The mobile phone satisfaction data collection module (32) is used to generate a mobile phone evaluation questionnaire. The mobile phone satisfaction data collection module (32) sends the mobile phone evaluation questionnaire to the intelligent recommendation module (4) via the central processor (11), the communication module (12), and the AI ​​big data marketing center (21) in sequence.

5. The AI ​​intelligent marketing system based on big data according to claim 4 is characterized in that: The mobile phone evaluation questionnaire has a full score of 100 points. When the score is greater than or equal to 90 points, it is excellent; when the score is greater than or equal to 60 points and less than 90 points, it is fair; when the score is less than 60 points, it is poor.

6. The AI ​​intelligent marketing system based on big data according to claim 5 is characterized in that: The intelligent recommendation module (4) comprises a brand screening module (41), a model screening module (42) and a store screening module (43), and the brand screening module (41), the model screening module (42) and the store screening module (43) are all connected to the AI ​​big data marketing center (21).

7. The AI ​​intelligent marketing system based on big data according to claim 6 is characterized in that: The brand screening module (41) is used to receive the mobile phone label and the mobile phone evaluation questionnaire sent by the AI ​​big data marketing center (21), and the brand screening module (41) identifies the mobile phone label and the mobile phone evaluation questionnaire. If the evaluation is excellent, the brand screening module (41) selects the mobile phone brand in the mobile phone label; If the evaluation is good, two mobile phone brands will be randomly selected while filtering the mobile phone brands in the mobile phone label; If the evaluation is poor, the mobile phone brand in the mobile phone label is eliminated and three mobile phone brands are randomly selected; The brand screening module (41) sends the screened mobile phone brands to the AI ​​big data marketing center (21), and the AI ​​big data marketing center (21) sends it to the model screening module (42); The model screening module (42) is used to receive the mobile phone label sent by the AI ​​big data marketing center (21), and the model screening module (42) screens the models of the mobile phone brand on sale whose prices are within the range of plus or minus 200 yuan in the mobile phone label; When there are three mobile phone brands, one model from each brand within the screening range is randomly selected as the marketing model; When there is only one mobile phone brand, three models of the brand within the screening range are randomly selected as marketing models; The model screening module (42) sends the marketing model to the AI ​​big data marketing center (21), and the AI ​​big data marketing center (21) sends it to the marketing data generation module (22) and the store screening module (43); The store screening module (43) is used to screen the sales stores of the marketing model. The store screening module (43) accesses the e-commerce platform and selects the store with the highest sales volume of the marketing model as the recommended store. The store screening module (43) generates a purchase link of the recommended store and sends it to the AI ​​big data marketing center (21), and the AI ​​big data marketing center (21) sends it to the marketing data generation module (22).

8. A marketing method based on the AI ​​intelligent marketing system based on big data as claimed in claim 7, characterized in that: The following steps are involved: Step 1: The mobile phone identification module (31) generates a mobile phone tag including the brand and price of the mobile phone used by the user, and the mobile phone identification module (31) sends the mobile phone tag to the brand screening module (41) and the model screening module (42) through the central processor (11), the communication module (12), and the AI ​​big data marketing center (21) in sequence; Step 2: The mobile phone satisfaction data collection module (32) generates a mobile phone evaluation questionnaire, and the mobile phone satisfaction data collection module (32) sends the mobile phone evaluation questionnaire to the brand screening module (41) through the central processing unit (11), the communication module (12), and the AI ​​big data marketing center (21) in sequence; Step 3: the brand screening module (41) identifies the mobile phone label and the mobile phone evaluation questionnaire. If the evaluation is excellent, the brand screening module (41) selects the mobile phone brand in the mobile phone label. If the evaluation is good, two mobile phone brands will be randomly selected while filtering the mobile phone brands in the mobile phone label; If the evaluation is poor, the mobile phone brand in the mobile phone label is eliminated and three mobile phone brands are randomly selected; The brand screening module (41) sends the screened mobile phone brands to the AI ​​big data marketing center (21), and the AI ​​big data marketing center (21) sends it to the model screening module (42); Step 4: the model screening module (42) screens the models of the mobile phone brands on sale whose prices are within the range of plus or minus 200 yuan indicated on the mobile phone labels; When there are three mobile phone brands, one model from each brand within the screening range is randomly selected as the marketing model; When there is only one mobile phone brand, three models of the brand within the screening range are randomly selected as marketing models; The model screening module (42) sends the marketing model to the AI ​​big data marketing center (21), and the AI ​​big data marketing center (21) sends it to the marketing data generation module (22) and the store screening module (43); Step 5: The store screening module (43) accesses the e-commerce platform and selects the store with the highest sales volume of the marketing model as the recommended store. The store screening module (43) generates a purchase link of the recommended store and sends it to the AI ​​big data marketing center (21). The AI ​​big data marketing center (21) sends it to the marketing data generation module (22); Step 6, the evaluation video collection module (24) retrieves the marketing models and collects evaluation videos from short video platforms and social platforms; Step 7, the evaluation video screening module (23) screens the evaluation video with the highest number of views from the evaluation videos collected by the evaluation video collection module (24), and the evaluation video screening module (23) sends the evaluation video with the highest number of views to the marketing data generation module (22); Step 8: Combine the evaluation video with the highest number of views with the purchase link to generate a marketing video, the marketing data generation module (22) sends the marketing video to the AI ​​big data marketing center (21), the AI ​​big data marketing center (21) sends it to the communication module (12), the communication module (12) sends it to the central processing unit (11), and the central processing unit (11) sends it to the information push module (5); Step nine, the user browses the marketing video through the information push module (5).

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