CN112561600A - Marketing data accurate analysis system based on big data - Google Patents
Marketing data accurate analysis system based on big data Download PDFInfo
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- CN112561600A CN112561600A CN202011551988.2A CN202011551988A CN112561600A CN 112561600 A CN112561600 A CN 112561600A CN 202011551988 A CN202011551988 A CN 202011551988A CN 112561600 A CN112561600 A CN 112561600A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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- G—PHYSICS
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- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
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Abstract
The invention discloses a marketing data accurate analysis system based on big data, which comprises: the data collection module is used for collecting the requirements of the customer terminal; the analysis processing module is used for analyzing the data of the data collection module, comparing the required product with the stock product, and automatically pouring the product which is closest to the required product and has the stock amount larger than the required amount for pushing when the required amount of the product is larger than the stock amount; and the customer conversion module is used for carrying out big data analysis on customer information, finding potential customers through drainage so as to effectively convert the potential customers and form purchase orders. The invention can carry out customer excavation while carrying out accurate analysis, and can push the most similar products in time when the required products are insufficient in inventory, thereby ensuring order bargaining to a certain extent.
Description
Technical Field
The invention belongs to the field of accurate analysis of marketing data, and particularly relates to an accurate analysis system of marketing data based on big data.
Background
Electronic commerce marketing is one of online marketing, and is a process of completing a series of marketing links by means of the Internet to achieve a marketing target, wherein the network has the characteristics of rapidness, high efficiency and low cost, information resources are shared on the Internet, and the access barrier is zero; as a new media, networks have a one-to-one interactive nature, which is a breakthrough in traditional media facing a large number of "audience" features.
From the marketing perspective, producers and consumers on the network interact and communicate one to one, the requirements, the desires and the improvement opinions of the customers are known, the large-scale production and large-scale marketing in the industrial era are improved into the marketing of small groups or even individuals, great satisfaction is provided for the consumers, and the aim of modern marketing concept is met.
The existing e-commerce marketing system only simply carries out marketing on products, does not effectively utilize customer information in a marketing process, further does not have a function of excavating potential customers, and cannot push multiple products which are most close to each other at the first time when the product stock required by a customer terminal is insufficient, so that orders are lost virtually, and therefore the marketing data accurate analysis system based on big data is provided.
Disclosure of Invention
Compared with the prior art, the marketing data accurate analysis system based on the big data can accurately analyze and simultaneously mine customers, can timely push a plurality of closest products when the required products are insufficient in inventory, and ensures order bargaining to a certain extent.
In order to achieve the purpose, the invention provides the following technical scheme:
a big data-based marketing data accurate analysis system, comprising:
the data collection module is used for collecting the requirements of the customer terminal;
the analysis processing module is used for analyzing the data of the data collection module, comparing the required product with the stock product, and automatically pouring the product which is closest to the required product and has the stock amount larger than the required amount for pushing when the required amount of the product is larger than the stock amount;
the customer conversion module is used for carrying out big data analysis on customer information, finding potential customers through drainage, and effectively converting the potential customers to form purchase orders;
the order management module is used for uniformly managing various purchase orders from online and offline, and the management content comprises the whole processes of checking, confirming, distributing, delivering, logistics and receiving the purchase orders;
the customer service module is used for establishing communication with a customer terminal, perfecting the details of a product and the requirements of customers, and is also used for product after-sale return visit, product question answering and customer complaint acceptance;
the data collection module, the customer conversion module, the order management module and the customer service module are all in communication connection with the analysis processing module.
As a preferred scheme, the system further comprises a storage module, wherein the storage module is used for storing the inventory information of various products and the potential customer information provided by the customer conversion module, and the inventory information of the products and the potential customer information are updated by covering original data in the storage module.
As a preferred scheme, the system further comprises a sound and video module, wherein the sound and video module comprises a digital-to-analog converter for processing conversion between digital signals and analog signals; a display for displaying an image; the image segmentation unit is used for processing a fed image to be displayed in a plurality of segmentation areas on the display, the image segmentation unit is a technology and a process for dividing an image into a plurality of specific areas with unique properties and proposing an interested target, and the technology and the process are key steps from image processing to image analysis and mainly comprise the following categories: a threshold-based segmentation method, a region-based segmentation method, an edge-based segmentation method, a segmentation method based on a specific theory, and the like, an image segmentation is a process of dividing a digital image into mutually disjoint regions from a mathematical point of view.
Preferably, the sound and image module further comprises an input module electrically connected with the customer service module, and the input module comprises one or a combination of a keyboard, a mouse and an electronic paper writing board.
As a preferred scheme, the analysis processing module specifically comprises the following processing steps:
1) after receiving the information of the required product, comparing the required quantity with the stock;
2) when the inventory is larger than the demand, the flow operation is carried out by combining the specific information of the customer service module, and the specific flow is as follows: order checking, confirming, distributing, delivering, logistics and receiving confirmation;
3) when the inventory is less than the demand, pushing a plurality of products closest to the demand product through the analysis processing module, and sending a notice of contact with the customer terminal to the customer service module;
4) when the customer service module feeds back the information of the product to be exchanged at the customer terminal to the analysis processing module, the flow operation is carried out by combining the specific information of the customer service module, and the specific flow is as follows: order checking, confirming, distributing, delivering, logistics and receiving confirmation;
when the customer service module feeds back information that the customer terminal does not accept the product exchange to the analysis processing module, the order is cancelled, the customer terminal requirement information and the contact information are recorded, and when the subsequent stock is enough, the information is automatically pushed to the customer terminal through the customer conversion module.
As a preferable scheme, a wireless signal transceiver module is arranged on the analysis processing module, the wireless signal transceiver module includes a WIFI antenna, an LTE antenna, a radio frequency switch, a frequency divider and a processor, and the frequency divider is configured to separate a WIFI signal and an LTE signal in signals received by the LTE antenna, and output the separated WIFI signal and LTE signal through the first output port and the second output port respectively.
As a preferred scheme, when comparing multiple products closest to a required product, the analysis processing module performs graph comparison by using an arithmetic operator, an assignment operator, a relational operator, a logical operator and a bit operator, wherein the arithmetic operator, the assignment operator, the relational operator, the logical operator and the bit operator are arranged from bottom to top according to priorities: assignment operator < logical and operator < relational operator < arithmetic operator.
As a preferred scheme, the customer conversion module comprises a channel tracking module, and the channel tracking module is used for tracking a product channel through a product tracking channel, managing and mining customer information and product information obtained in the tracking process, and summarizing the customer information and the product information to the analysis processing module; the customer portrait is supplemented and corrected through the customer information and the product information, and is continuously adjusted and changed, so that new strategy support is provided for secondary purchase of the customer and drainage of new customers.
The invention has the technical effects and advantages that: compared with the traditional marketing data accurate analysis system, when the inventory of products is less than the required quantity, the marketing data accurate analysis system pushes a plurality of products which are closest to the required products in time through the analysis processing module, informs the customer service module to contact with a customer terminal, avoids direct loss of orders to a certain extent, conducts large data analysis on customer information through the customer conversion module, finds potential customers through drainage to effectively convert the potential customers to form purchase orders, and also manages and excavates the customer information and the product information obtained in the tracking process through tracking product channels and collects the customer information and the product information to the analysis processing module.
Drawings
Fig. 1 is a block diagram of a marketing data precision analysis system based on big data according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments more apparent, the embodiments will be described in detail and completely with reference to the accompanying drawings, obviously, the described embodiments are a part of the embodiments, but not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments described herein without making any inventive step, fall within the scope of protection of the present invention. Thus, the following detailed description of the described embodiments presented in the accompanying drawings is not intended to limit the scope of the claimed invention, but is merely representative of selected embodiments of the claimed invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments described herein without making any inventive step, fall within the scope of protection of the present invention.
In the description herein, it is to be understood that the terminology indicating the orientation or positional relationship is based on the orientation or positional relationship shown in the drawings only for the convenience of description and simplicity of description, and does not indicate or imply that the apparatus or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be taken as limiting the present description.
As shown in fig. 1, a marketing data accurate analysis system based on big data includes:
the data collection module is used for collecting the requirements of the customer terminal;
the analysis processing module is used for analyzing the data of the data collection module, comparing the required product with the stock product, and automatically pouring the product which is closest to the required product and has the stock amount larger than the required amount for pushing when the required amount of the product is larger than the stock amount;
the analysis processing module comprises the following specific processing steps:
1) after receiving the information of the required product, comparing the required quantity with the stock;
2) when the inventory is larger than the demand, the flow operation is carried out by combining the specific information of the customer service module, and the specific flow is as follows: order checking, confirming, distributing, delivering, logistics and receiving confirmation;
3) when the inventory is less than the demand, pushing a plurality of products closest to the demand product through the analysis processing module, and sending a notice of contact with the customer terminal to the customer service module;
4) when the customer service module feeds back the information of the product to be exchanged at the customer terminal to the analysis processing module, the flow operation is carried out by combining the specific information of the customer service module, and the specific flow is as follows: order checking, confirming, distributing, delivering, logistics and receiving confirmation;
when the customer service module feeds back information that the customer terminal does not accept the exchange of products to the analysis processing module, the customer service module cancels the order and records the demand information and the contact information of the customer terminal, and when the subsequent stock is enough, the customer conversion module automatically pushes the information to the customer terminal
The customer conversion module is used for carrying out big data analysis on customer information, finding potential customers through drainage, and effectively converting the potential customers to form purchase orders;
the customer conversion module comprises a channel tracking module which is used for tracking a product channel through a product tracking channel, managing and mining customer information and product information obtained in the tracking process and summarizing the customer information and the product information to the analysis processing module; the customer portrait is supplemented and corrected through the customer information and the product information, and is continuously adjusted and changed, so that new strategy support is provided for secondary purchase of the customer and drainage of new customers;
when comparing a plurality of products which are closest to the required product, the analysis processing module adopts an arithmetic operator, a valuation operator, a relation operator, a logic operator and a bit operator to carry out graph comparison, and the arithmetic operator, the valuation operator, the relation operator, the logic operator and the bit operator are arranged from bottom to top according to priorities: assigning operator < logic and operator < relational operator < arithmetic operator;
the order management module is used for uniformly managing various purchase orders from online and offline, and the management content comprises the whole processes of checking, confirming, distributing, delivering, logistics and receiving the purchase orders;
the customer service module is used for establishing communication with the customer terminal, perfecting the details of the product and the requirements of the customer, and is also used for product after-sale return visit, product question answering and customer complaint acceptance;
the data collection module, the customer conversion module, the order management module and the customer service module are all in communication connection with the analysis processing module;
the system also comprises a storage module, wherein the storage module is used for storing the inventory information of various products and the potential customer information provided by the customer conversion module, and the inventory information of the products and the potential customer information are updated by covering the original data in the storage module;
the system also comprises a sound and video module, wherein the sound and video module comprises a digital-to-analog converter for processing the conversion between the digital signal and the analog signal; a display for displaying an image; the image segmentation unit is used for processing a fed image to be displayed in a plurality of segmentation areas on the display, and the image segmentation unit is a technology and a process for dividing an image into a plurality of specific areas with unique properties and proposing an interested target, which are key steps from image processing to image analysis and mainly comprise the following categories: from the mathematical point of view, image segmentation is a process of dividing a digital image into mutually disjoint regions, the sound and shadow module further comprises an input module electrically connected with the customer service module, and the input module comprises one or a combination of a keyboard, a mouse and an electronic paper writing board.
In summary, the following steps: compared with the traditional real-time monitoring system, when the stock of products is less than the required quantity, the marketing data accurate analysis system based on the big data pushes a plurality of products which are closest to the required products in time through the analysis processing module and informs the customer service module to contact with the customer terminal, so that direct loss of orders is avoided to a certain extent, the big data analysis is carried out on the customer information through the customer conversion module, potential customers are found through drainage to effectively convert the potential customers to form purchase orders, product channels are tracked, the customer information and the product information obtained in the tracking process are managed and mined and collected to the analysis processing module, and the deep mining of the customers is realized.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the scope of the present invention, and the technical solutions and the concepts thereof described in the present invention should be equivalent or changed within the scope of the present invention.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Claims (8)
1. A marketing data accurate analysis system based on big data is characterized by comprising:
the data collection module is used for collecting the requirements of the customer terminal;
the analysis processing module is used for analyzing the data of the data collection module, comparing the required product with the stock product, and automatically pouring the product which is closest to the required product and has the stock amount larger than the required amount for pushing when the required amount of the product is larger than the stock amount;
the customer conversion module is used for carrying out big data analysis on customer information, finding potential customers through drainage, and effectively converting the potential customers to form purchase orders;
the order management module is used for uniformly managing various purchase orders from online and offline, and the management content comprises the whole processes of checking, confirming, distributing, delivering, logistics and receiving the purchase orders;
the customer service module is used for establishing communication with a customer terminal, perfecting the details of a product and the requirements of customers, and is also used for product after-sale return visit, product question answering and customer complaint acceptance;
the data collection module, the customer conversion module, the order management module and the customer service module are all in communication connection with the analysis processing module.
2. The accurate big-data-based marketing data analysis system according to claim 1, wherein: the system also comprises a storage module, wherein the storage module is used for storing the inventory information of various products and the potential customer information provided by the customer conversion module, and the original data in the storage module is covered by adopting a covering mode when the inventory information of the products and the potential customer information are updated.
3. The accurate big-data-based marketing data analysis system according to claim 1, wherein: the system also comprises a sound and video module, wherein the sound and video module comprises a digital-to-analog converter for processing the conversion between a digital signal and an analog signal; a display for displaying an image; the image segmentation unit is used for processing a fed image to be displayed in a plurality of segmentation areas on the display, the image segmentation unit is a technology and a process for dividing an image into a plurality of specific areas with unique properties and proposing an interested target, and the technology and the process are key steps from image processing to image analysis and mainly comprise the following categories: a threshold-based segmentation method, a region-based segmentation method, an edge-based segmentation method, and a particular theory-based segmentation method, from a mathematical point of view, image segmentation is a process of dividing a digital image into mutually disjoint regions.
4. The accurate big-data-based marketing data analysis system according to claim 3, wherein: the sound and shadow module further comprises an input module electrically connected with the customer service module, and the input module comprises one or a combination of a keyboard, a mouse and an electronic paper writing board.
5. The accurate big-data-based marketing data analysis system according to claim 1, wherein: the analysis processing module comprises the following specific processing steps:
1) after receiving the information of the required product, comparing the required quantity with the stock;
2) when the inventory is larger than the demand, the flow operation is carried out by combining the specific information of the customer service module, and the specific flow is as follows: order checking, confirming, distributing, delivering, logistics and receiving confirmation;
3) when the inventory is less than the demand, pushing a plurality of products closest to the demand product through the analysis processing module, and sending a notice of contact with the customer terminal to the customer service module;
4) when the customer service module feeds back the information of the product to be exchanged at the customer terminal to the analysis processing module, the flow operation is carried out by combining the specific information of the customer service module, and the specific flow is as follows: order checking, confirming, distributing, delivering, logistics and receiving confirmation;
when the customer service module feeds back information that the customer terminal does not accept the product exchange to the analysis processing module, the order is cancelled, the customer terminal requirement information and the contact information are recorded, and when the subsequent stock is enough, the information is automatically pushed to the customer terminal through the customer conversion module.
6. The accurate big-data-based marketing data analysis system according to claim 1, wherein: the analysis processing module is provided with a wireless signal receiving and sending module, the wireless signal receiving and sending module comprises a WIFI antenna, an LTE antenna, a radio frequency switch, a frequency divider and a processor, the frequency divider is used for separating WIFI signals and LTE signals in signals received by the LTE antenna, and the separated WIFI signals and LTE signals are respectively output through the first output port and the second output port.
7. The accurate big-data-based marketing data analysis system according to claim 1, wherein: when comparing a plurality of products which are closest to the required product, the analysis processing module performs graph comparison by adopting an arithmetic operator, an assignment operator, a relational operator, a logical operator and a bit operator, wherein the arithmetic operator, the assignment operator, the relational operator, the logical operator and the bit operator are arranged from bottom to top according to priorities: assignment operator < logical and operator < relational operator < arithmetic operator.
8. The accurate big-data-based marketing data analysis system according to claim 1, wherein: the customer conversion module comprises a channel tracking module, and the channel tracking module is used for tracking a product channel through the product tracking channel, managing and mining customer information and product information obtained in the tracking process, and summarizing the customer information and the product information to the analysis processing module; the customer portrait is supplemented and corrected through the customer information and the product information, and is continuously adjusted and changed, so that new strategy support is provided for secondary purchase of customers and drainage of new customers.
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Cited By (1)
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