A merchant intelligent analysis and management system based on the SAAS platform

Abstract

The present invention discloses a merchant intelligent analysis and management system based on the SAAS platform, including a central management system. The central management system includes a data interaction device, a data tripartite interface, an EDI business protocol, an analysis database, a SASS cloud platform, and a feedback interaction platform. The data interaction device is used for data input and output among merchants, consumers, and regulatory platforms. The data tripartite interface establishes a signal connection between the data and the data interaction device. The EDI business protocol is used to process and transmit commercial documents generated from transaction data and standardize the qualified paths of business. The analysis database is used for merchants to quickly query transaction data in the database and reflect data patterns. The SASS cloud platform is used for data integration and two-way circulation. For this merchant intelligent analysis and management system based on the SAAS platform, merchants use the SASS platform to complete the entire data analysis process, improving the data analysis efficiency, and merchants obtain a more persuasive data analysis effect.

Description

Technical Field

[0001] The present invention relates to the technical field of merchant intelligent analysis and management, and specifically provides a merchant intelligent analysis and management system based on the SAAS platform. Background Art

[0002] Merchants, consumers, and regulators together constitute the entire data transaction entity. Moreover, merchants need to analyze the subsequent flow direction of goods based on the transaction data information in order to better adapt to the trading market.

[0003] The traditional merchant data analysis method is to tabulate and statistically analyze the data information recorded internally. This analysis method not only has low efficiency but also poor analysis results.

[0004] Therefore, we make improvements and propose a merchant intelligent analysis and management system based on the SAAS platform. Summary of the Invention

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] A merchant intelligent analysis and management system based on the SAAS platform of the present invention includes a central management system, and the central management system includes a data interaction device, a data tripartite interface, an EDI business protocol, an analysis database, a SASS cloud platform, and a feedback interaction platform;

[0007] The data interaction device is used for data input and output among merchants, consumers, and regulatory platforms. Moreover, the data interaction device accesses the internal analysis database through the data tripartite interface, and the data interaction device accesses a free client through the SASS cloud platform;

[0008] The data tripartite interface establishes a signal connection between the data and the data interaction device. Moreover, the data tripartite interface connects digital data and transmits the data to the analysis database through the EDI business protocol, and establishes a goods flow data chain;

[0009] The EDI business protocol is used to process and transmit commercial documents generated from transaction data and standardize the qualified paths of commerce;

[0010] The analysis database is used for merchants to quickly query transaction data and reflect data patterns. Moreover, the analysis database is signal-connected to the SASS platform, and the analysis database is connected to the feedback interaction platform through the SASS platform;

[0011] The SASS cloud platform is used for data integration and two-way circulation, and the SASS cloud platform includes a GSM system and a GPS system;

[0012] The feedback interaction platform is used to establish a feedback interaction system to contact and solve the after-sales service problems of merchants.

[0013] As a preferred technical solution of the present invention, the data tripartite interface includes a merchant data interface, a consumer data interface and a regulator data interface, and the merchant data interface, consumer data interface and regulator data interface are all data interface protocols.

[0014] As a preferred technical solution of the present invention, fixed data classification and custom data classification are established inside the analysis database. The fixed data classification includes time period, type item, price item and quantity item. The price item is provided with a floating indicator.

[0015] As a preferred technical solution of the present invention, a CNKI big data table is established inside the analysis database, and the CNKI big data table generates a data trend chart and a data statistical chart according to the gradual change law of the data.

[0016] As a preferred technical solution of the present invention, the free client includes a software client established inside a computer and an APP end established inside a mobile device, and the software client and the APP end are connected to the analysis database through a SASS cloud platform.

[0017] As a preferred technical solution of the present invention, a secondary encryption node is set up inside the cargo circulation data chain, and the encryption methods of the secondary encryption node are face recognition comparison authentication and shield authorization encryption.

[0018] As a preferred technical solution of the present invention, the feedback interaction platform circulates feedback data by means of a software client and an APP, and the access time period of the feedback interaction platform is 24 hours a day.

[0019] As a preferred technical solution of the present invention, a real-name authentication terminal and an authentication login terminal are established inside the SASS cloud platform, and the data archiving coverage time inside the SASS cloud platform is one month.

[0020] As a preferred technical solution of the present invention, the central management system has the following usage method:

[0021] Step S1: Merchants and consumers enter consumption data through the software client and APP, compare it with the goods input, and then transmit the data to the SASS cloud platform;

[0022] Step S2: In the SASS cloud platform, the supervisor reviews whether the data flow is standardized and in a matching state;

[0023] Step S3: The SASS cloud platform transports the data to the large database according to the EDI, and simultaneously intelligently generates a cargo circulation data chain;

[0024] Step S4: The merchant loads the data in the big data into the analysis database through the SASS platform, or obtains the corresponding data through the secondary encryption node;

[0025] Step S5: The analysis database completes the rapid classification of data through fixed data classification and custom data classification;

[0026] Step S6: The data information in the GSM system and the GPS system is loaded into the analysis database as a reference base;

[0027] Step S7: The analysis database generates a corresponding CNKI big data table to predict the data trend;

[0028] Step S8: The merchant and the analysis database can change the reference base of the data according to the feedback data information, and generate a data analysis chart and data trend that are more in line with the market;

[0029] Step S9: The SASS platform proposes corresponding data solutions for the subsequent data trend analysis based on the data trend.

[0030] The beneficial effects of the present invention are:

[0031] 1. For this kind of merchant intelligent analysis and management system based on the SAAS platform, the merchant can obtain the archived data not covered in the SASS cloud platform through ordinary queries, or load the data in the big data into the analysis database through the SASS platform, or obtain the corresponding data through the secondary encryption node. Then, the analysis database generates a corresponding CNKI big data table according to the screening results. Then, the SASS cloud platform generates a data trend chart and a data statistical chart based on the gradual change law of the data to display the data trend of the goods. And the SASS platform completes the entire data analysis process according to the feedback parameters of the data, improving the data analysis efficiency, and the merchant obtains a more persuasive data analysis effect;

[0032] 2. For this kind of merchant intelligent analysis and management system based on the SAAS platform, the SASS cloud platform uses the software client and the APP as the carriers for data acquisition and data display, improving the display ability of the data analysis results. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the present invention, and do not constitute a limitation to the present invention. In the drawings:

[0034] Figure 1It is a schematic diagram of the system concept of a merchant intelligent analysis and management system based on the SAAS platform of the present invention;

[0035] Figure 2 It is a schematic diagram inside the data tripartite interface of a merchant intelligent analysis and management system based on the SAAS platform of the present invention;

[0036] Figure 3 It is a schematic diagram inside the analysis database of a merchant intelligent analysis and management system based on the SAAS platform of the present invention;

[0037] Figure 4 It is a schematic diagram inside the SASS cloud platform of a merchant intelligent analysis and management system based on the SAAS platform of the present invention;

[0038] Figure 5 It is a schematic flow diagram of the usage method when using the system working method of a merchant intelligent analysis and management system based on the SAAS platform of the present invention. Specific embodiments

[0039] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only for the purpose of illustrating and explaining the present invention, and are not intended to limit the present invention.

[0040] Example: As Figures 1-5 shown, a merchant intelligent analysis and management system based on the SAAS platform of the present invention includes a central management system, and the central management system includes a data interaction device, a data tripartite interface, an EDI business protocol, an analysis database, a SASS cloud platform, and a feedback interaction platform;

[0041] The data interaction device is used for data input and output between merchants, consumers, and regulatory platforms. The data interaction device accesses the inside of the analysis database through the data tripartite interface, and the data interaction device accesses free clients through the SASS cloud platform;

[0042] The data tripartite interface establishes a signal connection between the data and the data interaction device, and the data tripartite interface connects digital data and transmits the data to the analysis database through the EDI business protocol, and establishes a goods circulation data chain;

[0043] The EDI business protocol is used for processing and transmitting commercial documents generated from transaction data and standardizing the qualified paths of commerce;

[0044] The analysis database is used for merchants to quickly query transaction data and reflect data patterns. The analysis database is signal-connected to the SASS platform, and the analysis database is connected to the feedback interaction platform through the SASS platform;

[0045] The SASS cloud platform is used for data integration and two-way circulation, and the SASS cloud platform includes a GSM system and a GPS system;

[0046] The feedback interaction platform is used to establish a feedback interaction mechanism to contact and solve the after-sales service problems of merchants.

[0047] Among them, the data tripartite interface includes a merchant data interface, a consumer data interface, and a regulator data interface, and the merchant data interface, the consumer data interface, and the regulator data interface are all data interface protocols. Merchants and consumers can access the data system through the corresponding data tripartite interfaces respectively, which can effectively improve the stability of the data. At the same time, the regulator can access the data system through the corresponding regulator data interface to avoid abnormal operations between merchants and consumers.

[0048] Among them, a fixed data classification and a custom data classification are established inside the analysis database. The fixed data classification includes time period, type item, price item, and quantity item. A floating index is set in the price item. The fixed data classification is used to enable merchants to quickly browse and review the data, reducing the complexity of data analysis by merchants. With the help of the floating index in the fixed data classification, it is convenient to further refine the data analysis. At the same time, through the custom data classification, the observation ability of merchants for data is improved.

[0049] Among them, a CNKI big data table is established inside the analysis database, and the CNKI big data table generates a data trend chart and a data statistical chart through the gradual change law of the data. The data in the analysis database is quickly classified through the CNKI big data table, improving the convenience of merchants to read the data in the analysis database. At the same time, the data trend chart can be used to analyze the circulation trend of goods, and the critical value of the circulation volume of goods can be analyzed through the data statistical chart.

[0050] Among them, the free client includes a software client established inside the computer and an APP client established inside the mobile device. The software client and the APP client are connected to the analysis database through the SASS cloud platform. The software client and the APP client are used as the carriers of tripartite data. When merchants conduct data analysis, they can provide a clearer data observation form. At the same time, the software client and the APP client can be used to record the analysis results and intelligently predict the subsequent trend of goods data, improving the data analysis ability of the system.

[0051] Among them, secondary encryption nodes are established inside the goods circulation data chain. The encryption methods of the secondary encryption nodes are face recognition comparison authentication and shield authorization encryption respectively. The secondary encryption nodes can protect the entire data flow process. Ordinary data access can establish simple data analysis of goods circulation. Face recognition encryption can specifically extract relevant data of the merchant himself, thereby improving the efficiency of data analysis. Shield authorization encryption is only for a very small number of authorized merchants and regulatory platforms and is used for data adjustment within a specified range. This encryption method maintains the stability of the entire data.

[0052] Among them, the feedback interaction platform enables the circulation of feedback data through software clients and APPs. The access time period of the feedback interaction platform is 24 hours a day. Using software clients and APPs, feedback opinions can be quickly exchanged in the feedback interaction platform. Merchants and the analysis database can change the reference base of the data according to the feedback data information, so as to obtain a data analysis chart and data trend that are more in line with the market. Moreover, the feedback interaction platform receives data in real time throughout the day, reducing the data analysis error caused by the omission of feedback data.

[0053] Among them, a real-name authentication end and an authentication login end are established inside the SASS cloud platform. The internal data archiving time of the SASS cloud platform covers one month. By restricting the internal data archiving time of the SASS platform, it is avoided that the excessive data volume affects the operation of the entire SASS cloud platform. Merchants can load data from the large database through the SASS cloud platform according to the required data time period, improving the efficiency of data analysis.

[0054] Among them, the central management system has the following usage method:

[0055] Step S1: Both merchants and consumers enter consumption data through software clients and APPs, compare it with the goods input, and then transmit the data into the SASS cloud platform;

[0056] Step S2: Inside the SASS cloud platform, the supervisor reviews whether the data flow is standardized and in a matching state;

[0057] Step S3: The SASS cloud platform transports the data to the large database according to EDI, and at the same time intelligently generates a goods circulation data chain;

[0058] Step S4: The merchant loads the data in the large database into the analysis database through the SASS platform, or obtains the corresponding data through the secondary encryption node;

[0059] Step S5: The analysis database completes the rapid classification of data through fixed-type data classification and custom data classification;

[0060] Step S6: The data information in the GSM system and the GPS system is loaded into the analysis database as a reference base;

[0061] Step S7: The corresponding CNKI big data table is generated in the analysis database to predict the data trend;

[0062] Step S8: The merchant and the analysis database can change the reference base of the data according to the feedback data information, and generate a data analysis chart and data trend that are more in line with the market;

[0063] Step S9: The SASS platform proposes corresponding data solutions for the subsequent data trend analysis based on the data trend.

[0064] Working principle:

[0065] The operation of the entire system is divided into three parts.

[0066] The first part, data entry;

[0067] First, the merchant completes the input of goods data through mobile scanning, mobile data entry, and fixed client data entry. Then, the consumer enters consumption data through the software client and the APP, and compares it with the goods input. Then, the data is transmitted to the SASS cloud platform. In the SASS cloud platform, the supervisor accesses the data stream through the three-party interface and audits whether the data stream is standardized and in a matching state. Then, the SASS cloud platform processes and transmits the transaction data into a commercial document according to the EDI morning protocol, standardizes the qualified path of the business, and then conveys it to the big database. At the same time, a goods circulation data chain is intelligently generated;

[0068] The second part, data query;

[0069] When the merchant queries and analyzes the data, the merchant obtains the archived data not covered in the SASS cloud platform through ordinary queries, or loads the data in the big data into the analysis database through the SASS platform, or obtains the corresponding data through the secondary encryption node. Then, the analysis database completes the rapid classification of the data through fixed data classification and custom data classification. At the same time, the data information in the GSM system and the GPS system is loaded into the analysis database as a reference base, improving the classification of the data;

[0070] The third part, data intelligent analysis;

[0071] According to the screening results, a corresponding CNKI big data table is generated in the analysis database. Then, the SASS cloud platform generates a data trend chart and a data statistical chart based on the gradual change rule of the data to display the data trend of the goods. At the same time, consumers, regulators, and merchants can use the software client and the APP to quickly exchange feedback opinions on the feedback interaction platform. Then, the merchant and the analysis database can change the reference base of the data according to the feedback data information. The SASS cloud platform adjusts the gradual change rule of the data according to the reference base and generates a data analysis chart and a data trend that are more in line with the market. Then, the SASS platform analyzes the subsequent data trend based on the data trend and proposes corresponding data solutions. Then, the merchant selects the solution and manages the entire subsequent data flow process;

[0072] In this way, the data intelligent analysis process of the entire system can be completed.

[0073] Finally, it should be noted that in the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "vertical", "upper", "lower", "horizontal", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention.

[0074] In the description of the present invention, it should also be noted that unless otherwise clearly specified and limited, the terms "set", "installed", "connected", and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0075] The above are only the preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, for those skilled in the art, they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A merchant intelligent analysis and management system based on the SAAS platform, including a central management system, characterized in that, The central management system includes a data interaction device, a data tripartite interface, an EDI business protocol, an analysis database, a SASS cloud platform, and a feedback interaction platform; The data interaction device is used for data input and output by merchants, consumers, and regulatory platforms. The data interaction device accesses the internal of the analysis database through the data tripartite interface, and the data interaction device accesses the free client through the SASS cloud platform; The data tripartite interface establishes a signal connection between the data and the data interaction device. The data tripartite interface connects digital data and transmits the data to the analysis database through the EDI business protocol, and establishes a goods circulation data chain; The EDI business protocol is used to process and transmit commercial documents generated from transaction data and standardize the qualified paths of commerce; The analysis database is used for merchants to quickly query transaction data in the database and reflect data patterns. The analysis database is signal-connected to the SASS platform, and the analysis database is connected to the feedback interaction platform through the SASS platform; The SASS cloud platform is used for data integration and two-way circulation. The SASS cloud platform includes a GSM system and a GPS system; The feedback interaction platform is used to establish a feedback interaction mechanism to address and resolve the after-sales service issues of merchants; The central management system has the following usage method: Step S1: Both merchants and consumers enter consumption data through the software client and the APP end, compare it with the goods input, and then transmit the data into the SASS cloud platform; Step S2: In the SASS cloud platform, the regulator reviews whether the data stream is standardized and in a matching state; Step S3: The SASS cloud platform transports the data into the large database according to the EDI, and at the same time intelligently generates a goods circulation data chain; Step S4: The merchant loads the data in the big data into the analysis database through the SASS platform and obtains the corresponding data through the secondary encryption node; Step S5: The analysis database completes the rapid classification of data through fixed data classification and custom data classification; Step S6: The data information in the GSM system and the GPS system is loaded into the analysis database as a reference base; Step S7: The corresponding CNKI big data table is generated in the analysis database to predict the data trend; Step S8: The merchant and the analysis database change the reference base of the data according to the feedback data information and generate an analysis chart and data trend that conform to the market; Step S9: The SASS platform proposes corresponding data solutions based on the analysis of the subsequent data trend according to the data trend; 2. The merchant intelligent analysis and management system based on the SAAS platform according to claim 1, wherein The data tripartite interface includes a merchant data interface, a consumer data interface, and a regulator data interface, and the merchant data interface, the consumer data interface, and the regulator data interface are all data interface protocols; 3. A merchant intelligent analysis and management system based on the SAAS platform according to claim 1, characterized in that, Fixed data classification and custom data classification are established inside the analysis database. The fixed data classification includes time period, type item, price item, and quantity item. A floating index is set in the price item.

4. A merchant intelligent analysis and management system based on the SAAS platform according to claim 3, characterized in that, A CNKI big data table is established inside the analysis database, and the CNKI big data table generates a data trend chart and a data statistical chart according to the gradual change law of data.

5. The merchant intelligent analysis and management system based on the SAAS platform according to claim 1, characterized in that, The free client includes a software client established inside a computer and an APP end established inside a mobile device, and the software client and the APP end are connected to the analysis database through the SASS cloud platform.

6. The merchant intelligent analysis and management system based on the SAAS platform according to claim 1, wherein, Secondary encryption nodes are established inside the freight circulation data chain, and the encryption methods of the secondary encryption nodes are face recognition comparison authentication and shield authorization encryption respectively.

7. The merchant intelligent analysis and management system based on the SAAS platform according to claim 5, characterized in that, The feedback interaction platform facilitates the circulation of feedback data through the software client and the APP end, and the access time period of the feedback interaction platform is 24 hours a day.

8. The merchant intelligent analysis and management system based on the SAAS platform according to claim 1, characterized in that, A real-name authentication end and an authentication login end are established inside the SASS cloud platform, and the data archiving time inside the SASS cloud platform covers one month.

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