Intelligent internet marketing information management system

Abstract

The invention discloses an intelligent internet marketing information management system, which comprises a data acquisition module, a commodity analysis module and an output module, and is characterized in that the commodity analysis module is used for evaluating and analyzing the rationality of cross-border commodities ordered by consumers, and the data acquisition module, the commodity analysis module and the output module are in mutual communication connection. Through a feature information extraction module and a related commodity screening module, related commodity feature information is extracted in a marketing platform, corresponding influence factors are analyzed, and related commodities with most similar features are selected, so that the effectiveness of system detection is improved; through the transportation cost analysis module, external extrusion force borne in the cross-border commodity transportation process is detected, the environment of the cross-border commodity transportation process is analyzed, the environment serves as an evaluation standard of the cross-border commodity transportation cost, and the purchase experience of consumers is greatly improved. The method has the characteristics of high humanization degree and high marketing price rationality detection capability.

Description

Technical Field

[0001] The present invention relates to the technical field of commodity marketing management, and in particular to an intelligent Internet marketing information management system. Background Art

[0002] With the rapid development of globalization and Internet technology, cross-border e-commerce has become a hot area in the global retail industry. In pre-sales services, due to consumers' unclear understanding of cross-border sales products, it is easy for customers to spend a higher price to buy products that do not meet their expectations. The criterion for whether they meet their expectations is: consumers basically decide whether to buy a product based on the products they have bought in China, the marketing data of other similar products on domestic online marketing platforms, and the simplicity of the cross-border product. However, since there is still relevant trade difference information between domestic products and cross-border products, such as transportation costs and quality, at the same final sales price, measuring the cost-effectiveness of purchasing cross-border products is the most important demand of most consumers.

[0003] In the prior art, Internet marketing information management systems recommend products to consumers by tracking consumers' platform browsing records and analyzing preference data. However, the transportation costs of cross-border products are high and the prices are unstable, especially for some high-transportation cost products. The price inflation caused by the transportation costs makes cross-border products and most domestic products have a significant price difference, resulting in consumers' use effects not meeting their expectations after purchasing cross-border products, and a large number of after-sales problems. Therefore, it is necessary to design an intelligent Internet marketing information management system with a high degree of humanization and strong ability to detect the rationality of marketing prices. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent Internet marketing information management system to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: an intelligent Internet marketing information management system, comprising a data acquisition module, a commodity analysis module and an output module, wherein the data acquisition module is used to obtain relevant commodity information in a marketing platform; the commodity analysis module is used to evaluate and analyze the rationality of consumers' ordering of cross-border commodities; the output module is used to convert the analysis results into instructions for changes in an online marketing system for output, and the data acquisition module, the commodity analysis module and the output module are communicatively connected to each other.

[0006] According to the above technical solution, the data collection module includes a cross-border commodity information collection module and a marketing platform commodity information collection module. The cross-border commodity information collection module is used to obtain relevant information of cross-border commodities through a cross-border marketing platform; the marketing platform commodity information collection module is used to obtain product information of relevant commodities in the marketing platform.

[0007] According to the above technical solution, the commodity analysis module includes a feature information extraction module, a related commodity screening module and a transportation cost analysis module. The feature information extraction module is used to obtain the feature information of this type of commodity and publicize the advantages and disadvantages of the target commodity; the related commodity screening module is used to screen comparative commodities related to the target cross-border commodity; the transportation cost analysis module is used to analyze the transportation costs generated by this type of commodity during the transportation process.

[0008] According to the above technical solution, the commodity analysis module further includes an extrusion force detection submodule, an influence coefficient calculation submodule and a timing unit. The extrusion force detection submodule is used to detect the extrusion force exerted on cross-border commodities during transportation; the influence coefficient calculation submodule is used to calculate the influence coefficient of the transportation cost of cross-border commodities; and the timing unit is used to time the transportation process.

[0009] According to the above technical solution, the output module includes a price balance control module and a purchase suggestion module. The price balance control module is used to adjust the prices of different commodities within a variable range; the purchase suggestion module is used to output more reasonable purchase suggestions to consumers for their reference.

[0010] According to the above technical solution, the operation method of the marketing information management system mainly includes the following steps:

[0011] Step S1: accessing a marketing information management system in a marketing platform terminal, wherein the marketing platform terminal includes a cross-border marketing platform and a domestic marketing platform, and can be authorized to retrieve product information in corresponding product sales software;

[0012] Step S2: by searching for keywords of the target cross-border commodity and selecting relevant commodity information according to the classification of the commodity, the commodity analysis module is started to screen the target cross-border commodity and its related characteristic information;

[0013] Step S3: Analyze the transportation costs of cross-border and selected related commodities, and calculate the rationality of the sales prices of cross-border commodities according to the pressure that such commodities are subjected to during transportation;

[0014] Step S4: The marketing platform terminal outputs corresponding price adjustment instructions according to the evaluation results and outputs recommendation information to consumers.

[0015] According to the above technical solution, step S3 further includes:

[0016] Step S31: by searching the keywords of the target cross-border commodity and selecting Q relevant commodity information according to the classification of the commodity, the value of Q is determined according to the number of cross-border commodity feature values ​​obtained by the system.

[0017] Step S32: All feature information is sequentially filled into the first row in the virtual table, and the feature information that appears the same as the related products is filtered out in step S31 and filled in under the cross-border product feature information in the i-th row according to the filtering order of the related products, where i is the filtering order of the related products, 2≤i≤Q+1, and i is an integer;

[0018] In particular, if after going through all the screening factors, no characteristic information identical to that of the cross-border product appears, fill in "None" in this position.

[0019] According to the above technical solution, in the related product screening module, the method for screening related products further includes:

[0020] Step S321: Establish a resource data package in the marketing information management system, wherein the data resource package contains the commodity-related information stored in the marketing platform, extract the commodity appearance information, commodity internal composition information, and commodity material information of the commodity in the marketing system, and combine them into the characteristic information of the commodity, and at the same time extract the commodity evaluation information of the commodity in the marketing information and classify them, set the favorable comment rate higher than E1% as the preferred characteristic information, set the unfavorable comment rate lower than E2% as the non-preferred characteristic information, and use the actual favorable comment rate and unfavorable comment rate as the influencing factors of the characteristic information;

[0021] Step S322: The management system counts the corresponding related commodities in the horizontal row in the table in turn. If the content is "None", the difference value of the position is set to 0. If preferred feature information appears in the related commodities in the table, the difference value of the position is set to 1. If non-preferred feature information appears in the related commodities in the table, the difference value of the position is set to -1. The difference values ​​of the corresponding related commodities in the horizontal row are multiplied by the influencing factors of the feature information corresponding to the difference values, and then linearly accumulated to screen out the related commodities with the smallest difference in the total difference value of cross-border commodities.

[0022] According to the above technical solution, the further step includes:

[0023] Step S41: On the cross-border and related commodity transportation routes, the staff randomly selects η% of the commodity transportation volume on the commodity delivery route, where η is the minimum sampling commodity ratio obtained by the sampling module, and arranges a layer of force sensor detection net that can detect external force in the selected sampling commodity packaging compartment. The density of the force sensor detection net is determined by the hardness value of the sampling commodity packaging;

[0024] Step S42: During the transportation of the goods, the force sensor detection network in the packaging compartment obtains the squeezing force from K directions on the outside of the packaging, automatically constructs a curve of the squeezing force received by the detection network over time, and transmits the information to a remote storage terminal carried during the transportation process for collection and storage;

[0025] Step S43: The variation curves of the remaining (K-1) extrusion pressure directions of the sampled goods except the gravity direction are plotted according to the superposition sum of different extrusion pressures at the same time, and the variation curve of the total external force of the goods over time is plotted, and the horizontal axis of the virtual Y=F is changed up and down in the variation curve, where F is a variable value, and the total time T1 when the total external force of the goods exceeds F1, the total time T2 when the total external force is lower than F2, the total time T3 when the total external force value changes to lower than F3 within the monitoring time period Z seconds, and the total time T4 when the total external force is higher than F4 within the monitoring time period Z seconds are counted, where Fmax-F1>F3, Fmax-F1>F4, F2-Fmin>F3, F2-Fmin>F4, where Fmax is the maximum value of the extrusion pressure in the variation curve, Fmin is the minimum value of the extrusion pressure in the variation curve, F1 is the maximum extrusion pressure that the goods can bear, F2 is the minimum extrusion pressure that the force sensor detection network can perceive, F3 is the minimum extrusion pressure change limit value in the transportation environment, and F4 is the maximum extrusion pressure change limit value in the transportation environment;

[0026] Step S44: The commodity transportation cost impact coefficient is: G = η [(T-T1-T2)(F2-F1)-F3T3+F4T4], where η is a unit conversion parameter, and the unit of η is (N·S) -1, obtain the transportation cost of related goods, calculate the difference G1 between the transportation costs of cross-border goods and related goods, if (G1D1-G0D0)>μD2, then output the information that the transportation cost of cross-border goods exceeds the preset cost, otherwise output the information that the transportation cost of cross-border goods is within the preset cost, where μ is the trade difference coefficient between cross-border goods and domestic goods set in the current marketing platform terminal, D0, D1, and D2 are respectively the domestic transportation cost value at the current transportation distance in the domestic transportation system database extracted by the marketing platform terminal through authorization, the transportation cost value of cross-border goods at the current transportation distance, and the sales difference between cross-border goods and related goods in the marketing platform, G1 and G0 are respectively the transportation cost impact coefficient of cross-border goods and the transportation cost impact coefficient of related goods obtained by the marketing information management system.

[0027] According to the above technical solution, in step S41, a detection device capable of detecting the direction of gravity is also provided in the force sensor detection network. When the product rotates, the detection device starts and corrects the direction of gravity to contact the coverage area in the detection network, and sets the corresponding side of the product as the new direction of gravity.

[0028] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention, through the feature information extraction module and the related product screening module, extracts relevant product feature information in the marketing platform, analyzes its corresponding influencing factors, performs feature comparison in a virtual table, and selects related products with the most similar features, which can make the analysis and comparison of cross-border product transportation costs more accurate and improve the effectiveness of system detection; through the transportation cost analysis module, the external squeezing force on the cross-border product transportation process is detected, the environment of the cross-border product transportation process is analyzed, and this is used as an evaluation standard for the cross-border product transportation cost, which reduces the possibility of consumers spending more money but failing to purchase products that meet their value, and greatly improves consumers' purchasing experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0030] Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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.

[0032] See also Figure 1 The present invention provides a technical solution: an intelligent Internet marketing information management system, comprising:

[0033] Data collection module, product analysis module and output module. The data collection module is used to obtain relevant product information in the marketing platform; the product analysis module is used to evaluate and analyze the rationality of consumers' ordering of cross-border products; the output module is used to convert the analysis results into instructions for changes in the online marketing system for output. The data collection module, product analysis module and output module are connected to each other in communication.

[0034] The present invention, through the feature information extraction module and the related product screening module, extracts the relevant product feature information in the marketing platform, analyzes the corresponding influencing factors, performs feature comparison in a virtual table, and selects related products with the most similar features, which can make the analysis and comparison of cross-border product transportation costs more accurate and improve the effectiveness of system detection; through the transportation cost analysis module, the external squeezing force on the cross-border product transportation process is detected, the environment of the cross-border product transportation process is analyzed, and this is used as the evaluation standard for the cross-border product transportation cost, which reduces the possibility that consumers spend more money but cannot buy products that meet their value, and greatly improves the consumer's purchasing experience.

[0035] The data collection module includes a cross-border commodity information collection module and a marketing platform commodity information collection module. The cross-border commodity information collection module is used to obtain relevant information of cross-border commodities through a cross-border marketing platform; the marketing platform commodity information collection module is used to obtain product information of relevant commodities within the marketing platform.

[0036] The commodity analysis module includes a feature information extraction module, a related commodity screening module and a transportation cost analysis module. The feature information extraction module is used to obtain the feature information of this type of commodity and publicize the advantages and disadvantages of the target commodity; the related commodity screening module is used to screen comparative commodities related to the target cross-border commodity; the transportation cost analysis module is used to analyze the transportation costs generated by this type of commodity during the transportation process.

[0037] The commodity analysis module further includes an extrusion force detection submodule, an influence coefficient calculation submodule and a timing unit. The extrusion force detection submodule is used to detect the extrusion force to which cross-border commodities are subjected during transportation; the influence coefficient calculation submodule is used to calculate the influence coefficient of the transportation cost of cross-border commodities; and the timing unit is used to time the transportation process.

[0038] The output module includes a price balance control module and a purchase suggestion module. The price balance control module is used to adjust the prices of different commodities within a variable range; the purchase suggestion module is used to output more reasonable purchase suggestions to consumers for their reference.

[0039] In a preferred embodiment, the operation method of the marketing information management system mainly includes the following steps:

[0040] Step S1: accessing a marketing information management system in a marketing platform terminal, wherein the marketing platform terminal includes a cross-border marketing platform and a domestic marketing platform, and can be authorized to retrieve product information in corresponding product sales software;

[0041] Step S2: by searching for keywords of the target cross-border commodity and selecting relevant commodity information according to the classification of the commodity, the commodity analysis module is started to screen the target cross-border commodity and its related characteristic information;

[0042] Step S3: Analyze the transportation costs of cross-border and selected related commodities, and calculate the rationality of the sales prices of cross-border commodities according to the pressure that such commodities are subjected to during transportation;

[0043] Step S4: The marketing platform terminal outputs corresponding price adjustment instructions according to the evaluation results and outputs recommendation information to consumers.

[0044] In this embodiment, step S3 further includes:

[0045] Step S31: by searching the keywords of the target cross-border commodity and selecting Q relevant commodity information according to the classification of the commodity, the value of Q is determined according to the number of cross-border commodity feature values ​​obtained by the system.

[0046] Step S32: All feature information is sequentially filled into the first row in the virtual table, and the feature information that is the same as the related product is filtered out in step S31 and filled in under the cross-border product feature information in the i-th row according to the filtering order of the related products, where i is the filtering order of the related products, 2≤i≤Q+1, and i is an integer;

[0047] In particular, if after going through all the screening factors, no characteristic information identical to that of the cross-border product appears, fill in "None" in this position.

[0048] In the related product screening module of this embodiment, the method for screening related products further includes:

[0049] Step S321: Establish a resource data package in the marketing information management system, the data resource package contains the commodity-related information stored in the marketing platform, extract the commodity appearance information, commodity internal composition information, and commodity material information of the commodity in the marketing system and combine them into the characteristic information of the commodity, and at the same time extract the commodity evaluation information of the commodity in the marketing information and classify them, set the favorable comment rate higher than E1% as the preferred characteristic information, set the unfavorable comment rate lower than E2% as the non-preferred characteristic information, and use the actual favorable comment rate and unfavorable comment rate as the influencing factors of the characteristic information;

[0050] Step S322: The management system counts the corresponding related commodities in the horizontal row in the table in turn. If the content is "None", the difference value of the position is set to 0. If preferred feature information appears in the related commodities in the table, the difference value of the position is set to 1. If non-preferred feature information appears in the related commodities in the table, the difference value of the position is set to -1. The difference values ​​of the corresponding related commodities in the horizontal row are multiplied by the influencing factors of the feature information corresponding to the difference values, and then linearly accumulated to screen out the related commodities with the smallest difference in the total difference value of cross-border commodities.

[0051] This technical solution solves the problem that there are many differences in feature information between cross-border goods and domestic related goods, making it difficult to select related goods for effective comparison in the evaluation of cross-border goods with high transportation costs. By extracting relevant product feature information in the marketing platform, analyzing its corresponding influencing factors, performing feature comparison in the virtual table, and selecting related goods with the closest features, the analysis and comparison of cross-border commodity transportation costs can be made more accurate, greatly reducing the possibility of missing comparisons and improving the effectiveness of system detection.

[0052] In this embodiment, step S4 further includes:

[0053] Step S41: On the cross-border and related commodity transportation routes, the staff randomly selects η% of the commodity transportation volume on the commodity delivery route, where η is the minimum sampling commodity ratio obtained by the sampling module, and arranges a layer of force sensor detection net that can detect external force in the selected sampling commodity packaging compartment. The density of the force sensor detection net is determined by the hardness value of the sampling commodity packaging;

[0054] Step S42: During the transportation of the goods, the force sensor detection network in the packaging compartment obtains the squeezing force from K directions on the outside of the packaging, automatically constructs a curve of the squeezing force received by the detection network over time, and transmits the information to a remote storage terminal carried during the transportation process for collection and storage;

[0055] Step S43: The variation curves of the remaining (K-1) extrusion pressure directions of the sampled goods except the gravity direction are plotted according to the superposition sum of different extrusion pressures at the same time, and the variation curve of the total external force of the goods over time is plotted, and the horizontal axis of the virtual Y=F is changed up and down in the variation curve, where F is a variable value, and the total time T1 when the total external force of the goods exceeds F1, the total time T2 when the total external force is lower than F2, the total time T3 when the total external force value changes to lower than F3 within the monitoring time period Z seconds, and the total time T4 when the total external force is higher than F4 within the monitoring time period Z seconds are counted, where Fmax-F1>F3, Fmax-F1>F4, F2-Fmin>F3, F2-Fmin>F4, where Fmax is the maximum value of the extrusion pressure in the variation curve, Fmin is the minimum value of the extrusion pressure in the variation curve, F1 is the maximum extrusion pressure that the goods can bear, F2 is the minimum extrusion pressure that the force sensor detection network can perceive, F3 is the minimum extrusion pressure change limit value in the transportation environment, and F4 is the maximum extrusion pressure change limit value in the transportation environment;

[0056] When the total external force of the commodity exceeds F1, it means that the total extrusion pressure on the commodity during transportation is large; when the total external force on the commodity is lower than F2, it means that the total extrusion pressure on the commodity during transportation is small; when the total external force on the commodity is lower than F3, it means that the storage state of the commodity during transportation is relatively stable; when the total external force on the commodity is higher than F4, it means that the storage state of the commodity during transportation is relatively unstable;

[0057] In most transportation situations, such as rail transportation and road transportation, the transportation cost varies with the transportation speed. The total extrusion pressure and storage position of the goods during transportation are related to the storage environment. Since the extrusion pressure at a fixed storage position is random and the size of the extrusion pressure is relatively fixed during transportation, the impact of the storage position on the final test result can be reduced by taking the middle value of the sampled goods in the sampling module, and only the impact of the storage environment on the total extrusion pressure of the goods during transportation is retained. During sea transportation, the total extrusion pressure on the goods during transportation is related to the amount of goods stored in the container and the cost of transportation itself, the quality of the outer packaging of the goods and the packaging cost of the goods. At the same time, the transportation volume of a single batch of goods will also affect the storage costs required after transportation to the warehouse. All of the above will affect the transportation cost of cross-border goods. At the same time, under long transportation time, the transportation cost of cross-border goods is significantly different from that of domestic goods.

[0058] Step S44: The commodity transportation cost impact coefficient is: G = η [(T-T1-T2)(F2-F1)-F3T3+F4T4], where η is a unit conversion parameter, and the unit of η is (N·S) -1, obtain the transportation cost of related goods, calculate the difference G1 between the transportation costs of cross-border goods and related goods, if (G1D1-G0D0)>μD2, then output the information that the transportation cost of cross-border goods exceeds the preset cost, otherwise output the information that the transportation cost of cross-border goods is within the preset cost, where μ is the trade difference coefficient between cross-border goods and domestic goods set in the current marketing platform terminal, D0, D1, and D2 are respectively the domestic transportation cost value at the current transportation distance in the domestic transportation system database extracted by the marketing platform terminal through authorization, the transportation cost value of cross-border goods at the current transportation distance, and the sales difference between cross-border goods and related goods in the marketing platform, G1 and G0 are respectively the transportation cost impact coefficient of cross-border goods and the transportation cost impact coefficient of related goods obtained by the marketing information management system.

[0059] This technical solution solves the problem that the high transportation costs during cross-border commodity transportation lead to inflated final sales prices but cannot accurately evaluate their quality. By testing the external squeezing force of cross-border commodity transportation, analyzing the environment of cross-border commodity transportation, and using this as the evaluation standard for cross-border commodity transportation costs, it reduces the possibility that consumers spend more money but cannot buy goods that meet their value, and greatly improves consumers' purchasing experience.

[0060] In step S41 of the present embodiment, a detection device capable of detecting the direction of gravity is further provided in the force sensor detection network. When the product rotates, the detection device starts and corrects the direction of gravity to contact the coverage area in the detection network, and sets the corresponding side of the product as the new direction of gravity. By screening out the direction of gravity, the error can be further reduced, thereby improving the stability and accuracy of the system detection.

[0061] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0062] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent Internet marketing information management system, characterized by: It includes a data collection module, a product analysis module and an output module. The data collection module is used to obtain relevant product information in the marketing platform; the product analysis module is used to evaluate and analyze the rationality of consumers' ordering of cross-border products; the output module is used to convert the analysis results into instructions for changes in the online marketing system for output. The data collection module, the product analysis module and the output module are communicatively connected to each other.

2. The intelligent Internet marketing information management system according to claim 1, characterized in that: The data collection module includes a cross-border commodity information collection module and a marketing platform commodity information collection module. The cross-border commodity information collection module is used to obtain relevant information of cross-border commodities through a cross-border marketing platform; the marketing platform commodity information collection module is used to obtain product information of relevant commodities in the marketing platform.

3. The intelligent Internet marketing information management system according to claim 2, characterized in that: The commodity analysis module includes a feature information extraction module, a related commodity screening module and a transportation cost analysis module. The feature information extraction module is used to obtain the feature information of this type of commodity and publicize the advantages and disadvantages of the target commodity; the related commodity screening module is used to screen comparative commodities related to the target cross-border commodity; the transportation cost analysis module is used to analyze the transportation cost generated by this type of commodity during the transportation process.

4. The intelligent Internet marketing information management system according to claim 3, characterized in that: The commodity analysis module further includes an extrusion force detection submodule, an influence coefficient calculation submodule and a timing unit. The extrusion force detection submodule is used to detect the extrusion force exerted on cross-border commodities during transportation; the influence coefficient calculation submodule is used to calculate the influence coefficient of the transportation cost of cross-border commodities; and the timing unit is used to time the transportation process.

5. The intelligent Internet marketing information management system according to claim 4, characterized in that: The output module includes a price balance control module and a purchase suggestion module. The price balance control module is used to adjust the prices of different commodities within a variable range; the purchase suggestion module is used to output more reasonable purchase suggestions to consumers for their reference.

6. The intelligent Internet marketing information management system according to claim 5, characterized in that: The operation method of the marketing information management system mainly includes the following steps: Step S1: accessing a marketing information management system in a marketing platform terminal, wherein the marketing platform terminal includes a cross-border marketing platform and a domestic marketing platform, and can be authorized to retrieve product information in corresponding product sales software; Step S2: by searching for keywords of the target cross-border commodity and selecting relevant commodity information according to the classification of the commodity, the commodity analysis module is started to screen the target cross-border commodity and its related characteristic information; Step S3: Analyze the transportation costs of cross-border and selected related commodities, and calculate the rationality of the sales prices of cross-border commodities according to the pressure that such commodities are subjected to during transportation; Step S4: The marketing platform terminal outputs corresponding price adjustment instructions according to the evaluation results and outputs recommendation information to consumers.

7. The intelligent Internet marketing information management system according to claim 6, characterized in that: The step S3 further comprises: Step S31: by searching the keywords of the target cross-border commodity and selecting Q relevant commodity information according to the classification of the commodity, the value of Q is determined according to the number of cross-border commodity feature values ​​obtained by the system. Step S32: All feature information is sequentially filled into the first row in the virtual table, and the feature information that appears the same as the related products is filtered out in step S31 and filled in under the cross-border product feature information in the i-th row according to the filtering order of the related products, where i is the filtering order of the related products, 2≤i≤Q+1, and i is an integer; In particular, if after going through all the screening factors, no characteristic information identical to the cross-border product appears, fill in "None" in this position.

8. The intelligent Internet marketing information management system according to claim 7, characterized in that: In the related product screening module, the method for screening related products further includes: Step S321: Establish a resource data package in the marketing information management system, wherein the data resource package contains the commodity-related information stored in the marketing platform, extract the commodity appearance information, commodity internal composition information, and commodity material information of the commodity in the marketing system, and combine them into the characteristic information of the commodity, and at the same time extract the commodity evaluation information of the commodity in the marketing information and classify them, set the favorable comment rate higher than E1% as the preferred characteristic information, set the unfavorable comment rate lower than E2% as the non-preferred characteristic information, and use the actual favorable comment rate and unfavorable comment rate as the influencing factors of the characteristic information; Step S322: The management system counts the corresponding related products in the horizontal row in the table in turn. If the content is "None", the difference value of the position is set to 0. If preferred feature information appears in the related products in the table, the difference value of the position is set to 1. If non-preferred feature information appears in the related products in the table, the difference value of the position is set to -1. The difference values ​​of the corresponding related products in the horizontal row are multiplied by the influencing factors of the feature information corresponding to the difference values, and then linearly accumulated to screen out the related products with the smallest difference in the total difference value of cross-border products.

9. The intelligent Internet marketing information management system according to claim 8, characterized in that: The step S4 further comprises: Step S41: On the cross-border and related commodity transportation routes, the staff randomly selects η% of the commodity transportation volume on the commodity delivery route, where η is the minimum sampling commodity ratio obtained by the sampling module, and arranges a layer of force sensor detection net that can detect external force in the selected sampling commodity packaging compartment. The density of the force sensor detection net is determined by the hardness value of the sampling commodity packaging; Step S42: During the transportation of the goods, the force sensor detection network in the packaging compartment obtains the squeezing force from K directions on the outside of the packaging, automatically constructs a curve of the squeezing force received by the detection network over time, and transmits the information to a remote storage terminal carried during the transportation process for collection and storage; Step S43: The variation curves of the remaining (K-1) extrusion pressure directions of the sampled goods except the gravity direction are plotted according to the superposition sum of different extrusion pressures at the same time, and the variation curve of the total external force of the goods over time is plotted, and the horizontal axis of the virtual Y=F is changed up and down in the variation curve, where F is a variable value, and the total time T1 when the total external force of the goods exceeds F1, the total time T2 when the total external force is lower than F2, the total time T3 when the total external force value changes to lower than F3 within the monitoring time period Z seconds, and the total time T4 when the total external force is higher than F4 within the monitoring time period Z seconds are counted, where Fmax-F1>F3, Fmax-F1>F4, F2-Fmin>F3, F2-Fmin>F4, where Fmax is the maximum value of the extrusion pressure in the variation curve, Fmin is the minimum value of the extrusion pressure in the variation curve, F1 is the maximum extrusion pressure that the goods can bear, F2 is the minimum extrusion pressure that the force sensor detection network can perceive, F3 is the minimum extrusion pressure change limit value in the transportation environment, and F4 is the maximum extrusion pressure change limit value in the transportation environment; Step S44: The commodity transportation cost impact coefficient is: G = η [(T-T1-T2)(F2-F1)-F3T3+F4T4], where η is a unit conversion parameter, and the unit of η is (N·S) -1 , obtain the transportation cost of related goods, calculate the difference G1 between the transportation costs of cross-border goods and related goods, if (G1D1-G0D0)>μD2, then output the information that the transportation cost of cross-border goods exceeds the preset cost, otherwise output the information that the transportation cost of cross-border goods is within the preset cost, where μ is the trade difference coefficient between cross-border goods and domestic goods set in the current marketing platform terminal, D0, D1, and D2 are respectively the domestic transportation cost value at the current transportation distance in the domestic transportation system database extracted by the marketing platform terminal through authorization, the transportation cost value of cross-border goods at the current transportation distance, and the sales difference between cross-border goods and related goods in the marketing platform, G1 and G0 are respectively the transportation cost impact coefficient of cross-border goods and the transportation cost impact coefficient of related goods obtained by the marketing information management system.

10. The intelligent Internet marketing information management system according to claim 9, characterized in that: In step S41, a detection device capable of detecting the direction of gravity is also provided in the force sensor detection network. When the product rotates, the detection device starts and corrects the direction of gravity to contact the coverage area in the detection network, and sets the corresponding side of the product as the new direction of gravity.

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