Marketing management system based on computer promotion
Through a marketing management system based on computer promotion, the layout planning and display effects of various batches of food exhibitions have been analyzed and optimized, and the problem of unreasonable exhibition layout in the existing technology has been solved, the space utilization rate and customer experience of the exhibition have been improved, and more efficient resource integration and sales promotion effects have been achieved.
Patent Information
- Application Number
- CN202510008542.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-03
- Publication Date
- 2025-06-03
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The layout planning and display effect analysis of various batches of food exhibitions in the existing technology is not in-depth enough, resulting in unreasonable layout of the exhibition, reducing the customer's visit experience and the attractiveness of exhibitors' products, and affecting the space utilization rate and resource integration efficiency of the exhibition.
Provide a marketing management system based on computer promotion, including exhibition classification and positioning module, exhibition layout planning module and exhibition layout optimization module. By analyzing the layout planning data and display effect data of various batches of food exhibitions, calculate the layout planning compliance index and display effect index, and optimize the exhibition layout to improve space utilization and display effect.
By optimizing the exhibition layout, the customer visit experience and the attractiveness of exhibitor products are improved, the space utilization rate and resource integration efficiency of the exhibition are improved, labor costs are reduced, and the sales and promotion effect of the exhibition is improved.
Smart Images

Figure CN120088018A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of marketing management, and particularly relates to a marketing management system based on computer promotion. Background Art
[0002] With the rapid development of Internet technology, network connections worldwide have become increasingly tight and stable. The wide application of new-generation communication technologies such as high-speed broadband has significantly increased data transmission speed and reduced latency. This provides a solid network foundation for the marketing management system, ensuring smooth operation between different regions and devices, thus meeting the needs of real-time marketing decision-making and customer response. However, the computer system itself may experience server crashes, network outages, software errors, etc. During marketing activities, if the marketing management system fails, it may lead to the inability to obtain promotion information in a timely manner or the inability of marketers to effectively track customer feedback. Therefore, it is necessary to analyze the marketing management system based on computer promotion.
[0003] The prior art, such as the invention patent application with publication number CN116957517A, discloses an intelligent management system for engineering project processes. This invention belongs to the field of engineering project process management and involves the planning of subway line stations. By comprehensively evaluating the construction qualification compliance coefficients of each candidate station from five aspects: the traffic flow demand index, population density demand index, economic development demand index, geological reasonable construction index, and public opinion survey index of each candidate station, the preferred stations of the target subway line are screened out. Then, according to the number of stations planned in the layout, the matching station group of the target subway line is further confirmed, greatly improving the existing subway line station planning project, ensuring the rationality and accuracy of subway line station planning decisions, not only ensuring that the subway line planning meets the requirements and the line coverage is reasonable, but also avoiding the construction of ineffective or duplicate subway stations, helping to reduce land and space occupation, and achieving more scientific and efficient subway construction.
[0004] Based on the above solutions, it can be found that the existing marketing management system based on computer promotion can meet the basic requirements, but there are also some potential defects and challenges, which are specifically reflected in the following aspects:
[0005] First, the research on the layout planning compliance index and display effect performance of each batch of food exhibitions in the prior art is not deep enough, and the space utilization compliance index and display facility qualification index of each batch of food exhibitions are not perfect enough, resulting in unreasonable layout of food exhibitions, thereby reducing the customer visit experience and further reducing the attractiveness of exhibitors' products.
[0006] Second, in the prior art, the analysis of the compliance index of the layout display effect of each food exhibition in this batch is inaccurate, and the layout plan of this batch cannot be determined, which reduces the space utilization rate and resource integration efficiency of the entire exhibition, affects the evaluation and participation enthusiasm of potential exhibitors for the exhibition, and thus has an adverse impact on the long-term development of the exhibition, increases labor costs, and leads to a reduction in the sales and promotion effects of the exhibition. Summary of the Invention
[0007] The purpose of the present invention is to provide a marketing management system based on computer promotion, which solves the problems existing in the background technology.
[0008] To solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a marketing management system based on computer promotion, including an exhibition classification and positioning module, an exhibition layout planning module, and an exhibition layout optimization module.
[0009] Exhibition classification and positioning module: By uploading the layout plan of each batch of food exhibitions by the staff, the layout planning data and display effect planning data of each batch of food exhibitions are obtained.
[0010] Exhibition layout planning module: Based on the obtained layout planning data and display effect planning data of each batch of food exhibitions, analyze the layout planning compliance index of each batch of food exhibitions and the display effect index of each batch of food exhibitions.
[0011] Exhibition layout optimization module: Based on the obtained layout planning compliance index of each batch of food exhibitions and the display effect index of each batch of food exhibitions, analyze the layout display effect compliance index of each food exhibition in this batch, and determine the layout plan of this batch.
[0012] Further, the specific analysis method of the layout planning compliance index of each batch of food exhibitions is as follows: Based on the obtained layout planning data of each batch of food exhibitions, where the layout planning data includes the planned number of exhibition stands in each food display area, the planned number of exhibition stand lighting in each food display area, and the planned number of exhibition stand interactive devices in each food display area, analyze the space utilization compliance index Q p and the display facility qualification index W p of each batch of food exhibitions, and then analyze the layout planning compliance index of each batch of food exhibitions. The specific calculation formula is α p =Q p +W p , p represents the batch number, p = 1, 2,..., A, and A represents the number of batches.
[0013] Furthermore, the space utilization compliance index of each batch of food exhibitions is analyzed as follows: Through the exhibition information released by exhibitors, the original data of historical batches of exhibitions is obtained. Among them, the original data of exhibitions includes the number of exhibition booths and floor areas of various foods in each batch of food exhibitions, and the number of exhibitors of various foods. Analyze the display density compliance index E p and the traffic compliance index R p of each batch of food exhibitions, and then analyze the space utilization compliance index of each batch of food exhibitions. The specific calculation formula is Q p =E p +R p .
[0014] Furthermore, the analysis method of the display density compliance index of each batch of food exhibitions is as follows: Based on the obtained original data of historical batches of exhibitions, evaluate the actual required number of exhibition booths in the display areas of various foods in each batch of food exhibitions, and based on the planned number of exhibition booths in the display areas of various foods in each batch of food exhibitions, analyze the display density compliance index of each batch of food exhibitions. The specific calculation formula is where d pi represents the planned number of exhibitors in the i-th food display area of the p-th batch of food exhibitions. i = 1, 2,..., l, i represents the food category number, and l represents the number of food categories. d pi ' represents the actual required number of exhibitors of the i-th food in the p-th batch of food exhibitions.
[0015] Furthermore, the analysis method of the traffic compliance index of each batch of food exhibitions is as follows: Based on the obtained display density compliance index of each batch of food exhibitions, compare the display density compliance index of each batch of food exhibitions with the display density compliance index threshold stored in the database. If the display density compliance index of each batch of food exhibitions is greater than or equal to the display density compliance index threshold, divide the food exhibitions of each batch into regions to obtain the display concentrated area and the dispersed area of each batch of food exhibitions, and extract the planned number of passing personnel and the planned number of shopping carts in the display areas of various foods in the display concentrated area and the dispersed area of each batch of food exhibitions, and then analyze the traffic compliance index of the display concentrated area of each batch of food exhibitions and the traffic compliance index of the display dispersed area of each batch of food exhibitions.
[0016] Based on the obtained concentrated display areas of each batch of food exhibitions and through the exhibition information released by exhibitors, the original data of the concentrated display areas of historical batches of food exhibitions is extracted. Among them, the original data of the concentrated display areas of exhibitions includes the aisle width, the number of personnel, the number of shopping carts, and the area of the concentrated display areas of each batch of food exhibitions. Furthermore, the actual number of passing personnel and the actual number of shopping carts in the various food display areas of the concentrated display areas of each batch of food exhibitions are evaluated, and the traffic compliance index of the concentrated display areas of each batch of food exhibitions is analyzed. Its specific calculation formula is: Among them, a pi represents the planned number of shopping carts in the i-th food display area of the concentrated display area of the p-th batch of food exhibitions, and a pi ' represents the actual number of shopping carts in the i-th food display area of the concentrated display area of the p-th batch of food exhibitions. g pi represents the planned number of passing personnel in the i-th food display area of the concentrated display area of the p-th batch of food exhibitions, and g pi ' represents the actual number of passing personnel in the i-th food display area of the concentrated display area of the p-th batch of food exhibitions.
[0017] Analyze the traffic compliance index Y of the dispersed display areas of each batch of food exhibitions p .
[0018] Analyze the traffic compliance index of each batch of food exhibitions. Its specific calculation formula is: R p = T p + Y p .
[0019] Furthermore, the qualified index of the display facilities of each batch of food exhibitions. Its specific analysis method is: through the exhibition information released by exhibitors, the original data of historical batches of exhibitions is obtained. Among them, the original data of historical batches of exhibitions includes the number of booth lighting equipment, the number of booth interactive equipment, and the floor area of various food display areas of each batch of food exhibitions. Furthermore, the actual required number of booth lighting equipment and the actual required number of booth interactive equipment in various food display areas of each batch of food exhibitions are evaluated, and based on the planned number of booth lighting equipment and the planned number of booth interactive equipment in various food display areas of each batch of food exhibitions, the qualified index of the display facilities of each batch of food exhibitions is analyzed. Its specific calculation formula is: Among them, j pi represents the planned number of booth lighting in the i-th food display area of the p-th batch of food exhibitions, and j pi ' represents the actual required number of booth lighting in the i-th food display area of the p-th batch of food exhibitions. z piDenote the planned number of booth interaction devices in the i-th food display area of the p-th batch of food exhibitions as z pi ' Denote the actual planned number of booth interaction devices in the i-th food display area of the p-th batch of food exhibitions.
[0020] Furthermore, for the display effect index of each batch of food exhibitions, the specific analysis method is as follows: Use a color difference meter, an X-ray foreign object detector, and an image clarity measurement instrument to detect various food display areas of each batch of food exhibitions, and obtain the display data of each batch of food exhibitions. The display data includes the brightness, damage value, and label clarity of various food display areas of each batch of food exhibitions. Analyze the shape compliance index N p and the packaging compliance index M p of each batch of food exhibitions, and then analyze the display effect index of each batch of food exhibitions. The specific calculation formula is: β p =N p +M p .
[0021] Furthermore, for the shape compliance index of each batch of food exhibitions, the specific analysis method is as follows: Based on the obtained brightness and food damage value of various food display areas of each batch of food exhibitions, and extract the damage reference value and reference brightness of various food display areas of each batch of food exhibitions from the database, analyze the shape compliance index of each batch of food exhibitions. The specific calculation formula is: where v pi denotes the brightness of the i-th food display area of the p-th batch of food exhibitions, v pi ' denotes the reference brightness of the i-th food display area of the p-th batch of food exhibitions, b pi denotes the damage value of the i-th food display area of the p-th batch of food exhibitions, b pi ' denotes the damage reference value of the i-th food display area of the p-th batch of food exhibitions.
[0022] Furthermore, for the packaging compliance index of each batch of food exhibitions, the specific analysis method is as follows: Based on the obtained label clarity of various food display areas of each batch of food exhibitions, and extract the label clarity reference of various food display areas of each batch of food exhibitions from the database, analyze the packaging compliance index of each batch of food exhibitions. The specific calculation formula is: where h pi denotes the label clarity of the i-th food display area of the p-th batch of food exhibitions, h pi ' denotes the label clarity reference of the i-th food display area of the p-th batch of food exhibitions.
[0023] Further, the layout display effect compliance index of each food exhibition in this batch is as follows. The specific analysis method is: Based on the layout planning compliance index and the display effect index of each batch of food exhibitions obtained, analyze the layout display effect compliance index of each food exhibition in this batch. The specific calculation formula is: And obtain various foods in this batch and the corresponding number of reference merchants. Compare the layout display effect compliance index of each food exhibition in this batch with the various foods and the corresponding number of reference merchants in historical batches to obtain the similarity of various foods. Sort them in descending order, and then plan according to the sorting to determine the planned layout diagram of this batch.
[0024] The beneficial effects of the present invention are as follows: First, in the exhibition layout planning module, based on the obtained layout planning data and display effect planning data of each batch of food exhibitions, analyze the layout planning compliance index and the display effect index of each batch of food exhibitions, reduce the unreasonable problem of the exhibition layout of food, and thus improve the customer visit experience and the attractiveness of exhibitors' products.
[0025] Second, in the exhibition layout optimization module, based on the obtained layout planning compliance index and the display effect index of each batch of food exhibitions, analyze the layout display effect compliance index of each food exhibition in this batch, determine the planned layout diagram of this batch, improve the space utilization rate and resource integration efficiency of the entire exhibition, improve the evaluation and participation enthusiasm of potential exhibitors for the exhibition, and thus avoid the occurrence of adverse effects on the long-term development of the exhibition, reduce labor costs, and enhance the sales and promotion effects of the exhibition. BRIEF DESCRIPTION OF THE DRAWINGS
[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.
[0027] Figure 1 It is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION OF THE INVENTION
[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.
[0029] Referring to Figure 1 as shown, the present invention provides a marketing management system based on computer promotion, including: Exhibition Classification and Positioning Module: By uploading the layout plans of each batch of food exhibitions by staff, the layout planning data and display effect planning data of each batch of food exhibitions are obtained.
[0030] It should be noted that the Exhibition Classification and Positioning Module is connected to the Exhibition Layout Planning Module, the Exhibition Layout Planning Module is connected to the Exhibition Layout Optimization Module, and the Exhibition Layout Planning Module is connected to the database.
[0031] It should be noted that the database is used to store the damage reference values and reference brightness and darkness of various food display areas of each batch of food exhibitions, and the label clarity reference degree of various food display areas.
[0032] In the above embodiment, the compliance index of the layout plan of each batch of food exhibitions, the specific analysis method is: Based on the obtained layout planning data of each batch of food exhibitions, where the layout planning data includes the planned number of exhibition booths in various food display areas, the planned number of booth lighting in various food display areas, and the planned number of booth interaction devices in various food display areas, analyze the space utilization compliance index Q p and the display facility compliance index W p of each batch of food exhibitions, and then analyze the compliance index of the layout plan of each batch of food exhibitions. The specific calculation formula is, α p =Q p +W p , where p represents the batch number, p = 1, 2,..., A, and A represents the number of batches.
[0033] In the above embodiment, the space utilization compliance index of each batch of food exhibitions, the specific analysis method is: Through the exhibition information released by exhibitors, obtain the original exhibition data of historical batches. Among them, the original exhibition data includes the number of exhibition booths and floor areas of various foods in each batch of food exhibitions, and the number of exhibitors of various foods, and analyze the display density compliance index E p and the traffic compliance index R p of each batch of food exhibitions, and then analyze the space utilization compliance index of each batch of food exhibitions. The specific calculation formula is, Q p =E p +R p .
[0034] In the above embodiments, the display density compliance index of each batch of food exhibitions meets an exponent. The specific analysis method is as follows: Based on the obtained original data of historical batches of exhibitions, the actual required number of exhibition stands in various food display areas of each batch of food exhibitions is evaluated. And based on the planned number of exhibition stands in various food display areas of each batch of food exhibitions, the display density compliance index of each batch of food exhibitions is analyzed. The specific calculation formula is, where d pi represents the planned number of exhibitors in the i-th food display area of the p-th batch of food exhibitions. i = 1, 2,..., l, where i represents the food category number, and l represents the number of food categories. d pi ' represents the actual required number of exhibitors of the i-th type of food in the p-th batch of food exhibitions.
[0035] In the above embodiments, the traffic compliance index of each batch of food exhibitions. The specific analysis method is as follows: Based on the obtained display density compliance index of each batch of food exhibitions, the display density compliance index of each batch of food exhibitions is compared with the display density compliance index threshold stored in the database. If the display density compliance index of each batch of food exhibitions is greater than or equal to the display density compliance index threshold, the food exhibitions of each batch are divided into regions to obtain the display concentrated area and the dispersed area of each batch of food exhibitions. And the planned number of passing personnel and the planned number of shopping carts in various food display areas of the display concentrated area and the dispersed area of each batch of food exhibitions are extracted. Furthermore, the traffic compliance index of the display concentrated area of each batch of food exhibitions and the traffic compliance index of the display dispersed area of each batch of food exhibitions are analyzed.
[0036] Based on the obtained display concentrated area of each batch of food exhibitions, and through the exhibition information released by the exhibitors, the original data of the display concentrated area of historical batches of food exhibitions is further extracted. Among them, the original data of the display concentrated area of the exhibition includes the aisle width, the number of personnel, the number of shopping carts, and the area of each batch of food exhibitions in the display concentrated area of each batch of food exhibitions. Furthermore, the actual number of passing personnel and the actual number of shopping carts in various food display areas of the display concentrated area of each batch of food exhibitions are evaluated. The traffic compliance index of the display concentrated area of each batch of food exhibitions is analyzed. The specific calculation formula is as follows: where a pi represents the planned number of shopping carts in the i-th food display area of the display concentrated area of the p-th batch of food exhibitions. a pi ' represents the actual number of shopping carts in the i-th food display area of the display concentrated area of the p-th batch of food exhibitions. g pi represents the planned number of passing personnel in the i-th food display area of the display concentrated area of the p-th batch of food exhibitions. gpi The actual number of people passing through the i-th food display area, which is the centralized display area of the p-th batch of food exhibitions in the food category.
[0037] Analyze the traffic compliance index Y of the decentralized display areas of each batch of food exhibitions p 。
[0038] It should be noted that the method for analyzing the traffic compliance index of the decentralized display areas of each batch of food exhibitions is the same as that of the centralized display areas of each batch of food exhibitions.
[0039] Analyze the traffic compliance index of each batch of food exhibitions. The specific calculation formula is: R p = T p + Y p 。
[0040] In the above embodiment, for the display facility compliance index of each batch of food exhibitions, the specific analysis method is as follows: Through the exhibition information released by exhibitors, obtain the original data of historical batches of exhibitions. Among them, the original data of historical batches of exhibitions includes the number of booth lighting devices, the number of booth interactive devices, and the floor area of various food display areas of each batch of food exhibitions. Then, evaluate the actual required number of booth lighting devices and the actual required number of booth interactive devices for various food display areas of each batch of food exhibitions, and based on the planned number of booth lighting devices and the planned number of booth interactive devices for various food display areas of each batch of food exhibitions obtained, analyze the display facility compliance index of each batch of food exhibitions. The specific calculation formula is: Among them, j pi represents the planned number of booth lighting devices for the i-th food display area of the p-th batch of food exhibitions in the food category, and j pi ' represents the actual required number of booth lighting devices for the i-th food display area of the p-th batch of food exhibitions in the food category, and z pi represents the planned number of booth interactive devices for the i-th food display area of the p-th batch of food exhibitions in the food category, and z pi ' represents the actual planned number of booth interactive devices for the i-th food display area of the p-th batch of food exhibitions in the food category.
[0041] Exhibition layout planning module: Based on the obtained layout planning data and display effect planning data of each batch of food exhibitions, analyze the layout planning compliance index and the display effect index of each batch of food exhibitions.
[0042] In the above embodiments, the specific analysis method for the display effect index of each batch of food exhibitions is as follows: Use a color difference meter, an X-ray foreign object detector, and an image clarity measuring instrument to detect various food display areas of each batch of food exhibitions, and obtain the display data of each batch of food exhibitions. The display data includes the brightness, damage value, and label clarity of various food display areas of each batch of food exhibitions, and analyze the morphological conformity index N of each batch of food exhibitions p and the packaging conformity index M of each batch of food exhibitions p , and then analyze the display effect index of each batch of food exhibitions. The specific calculation formula is: β p =N p +M p .
[0043] In the above embodiments, the specific analysis method for the morphological conformity index of each batch of food exhibitions is as follows: Based on the brightness and food damage value of various food display areas of each batch of food exhibitions obtained, and extract the damage reference value and reference brightness of various food display areas of each batch of food exhibitions from the database, and analyze the morphological conformity index of each batch of food exhibitions. The specific calculation formula is: where, v pi represents the brightness of the i-th type of food display area of the p-th batch of food exhibitions, v pi ' represents the reference brightness of the i-th type of food display area of the p-th batch of food exhibitions, b pi represents the damage value of the i-th type of food display area of the p-th batch of food exhibitions, b pi ' represents the damage reference value of the i-th type of food display area of the p-th batch of food exhibitions.
[0044] In the above embodiments, the specific analysis method for the packaging conformity index of each batch of food exhibitions is as follows: Based on the label clarity of various food display areas of each batch of food exhibitions obtained, and extract the label clarity reference of various food display areas of each batch of food exhibitions from the database, and analyze the packaging conformity index of each batch of food exhibitions. The specific calculation formula is: where, h pi represents the label clarity of the i-th type of food display area of the p-th batch of food exhibitions, h pi ' represents the label clarity reference of the i-th type of food display area of the p-th batch of food exhibitions.
[0045] In the exhibition layout planning module, based on the obtained layout planning data and display effect planning data for each batch of food exhibitions, the compliance index of the layout planning for each batch of food exhibitions and the display effect index of each batch of food exhibitions are analyzed, reducing the problem of unreasonable exhibition layouts for food, thereby improving the customer visit experience and enhancing the attractiveness of exhibitors' products.
[0046] Exhibition layout optimization module: Based on the compliance index of the layout planning for each batch of food exhibitions and the display effect index of each batch of food exhibitions, analyze the compliance index of the layout display effect of each food exhibition in this batch, and determine the planned layout diagram for this batch.
[0047] In the above embodiment, the compliance index of the layout display effect of each food exhibition in this batch, the specific analysis method is: Based on the compliance index of the layout planning for each batch of food exhibitions and the display effect index of each batch of food exhibitions, analyze the compliance index of the layout display effect of each food exhibition in this batch, and its specific calculation formula is: And obtain various foods in this batch and their corresponding reference merchant quantities. Compare the compliance index of the layout display effect of each food exhibition in this batch with the various foods in historical batches and their corresponding reference merchant quantities to obtain the similarity of various foods, sort them in descending order, and then plan according to the sorting to determine the planned layout diagram for this batch.
[0048] In the exhibition layout optimization module, based on the compliance index of the layout planning for each batch of food exhibitions and the display effect index of each batch of food exhibitions, analyze the compliance index of the layout display effect of each food exhibition in this batch, and determine the planned layout diagram for this batch, improving the space utilization rate and resource integration efficiency of the entire exhibition, enhancing the evaluation and participation enthusiasm of potential exhibitors for the exhibition, thereby avoiding the occurrence of adverse effects on the long-term development of the exhibition, reducing labor costs, and improving the sales and promotion effects of the exhibition.
[0049] The above content is only an example and illustration of the concept of the present invention. Those skilled in the art of this technology can make various modifications or supplements to the described specific embodiments or use similar methods for substitution, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.
Claims
1. A marketing management system based on computer promotion, characterized in that: include: Exhibition classification and positioning module: Through the staff uploading the planning drawings of each batch of food exhibitions, the layout planning data and display effect planning data of each batch of food exhibitions are obtained; Exhibition layout planning module: Based on the layout planning data and display effect planning data of each batch of food exhibitions, the layout planning compliance index of each batch of food exhibitions and the display effect index of each batch of food exhibitions are analyzed; Exhibition layout optimization module: Based on the obtained layout planning compliance index of each batch of food exhibitions and the display effect index of each batch of food exhibitions, the layout display effect compliance index of each food exhibition in this batch is analyzed to determine the planning layout diagram of this batch.
2. A marketing management system based on computer promotion according to claim 1, characterized in that: The layout planning of each batch of food exhibitions meets the index, and the specific analysis method is as follows: Based on the layout planning data of each batch of food exhibitions, including the planned number of booths in each food display area, the planned number of booth lighting in each food display area, and the planned number of booth interactive equipment in each food display area, the space utilization compliance index Q of each batch of food exhibitions is analyzed. p The qualified index of exhibition facilities for each batch of food exhibitions W p , and then analyze the layout planning compliance index of each batch of food exhibitions. The specific calculation formula is: α p =Q p +W p , p represents the batch number, p=1,2,...,A, A represents the batch size.
3. A marketing management system based on computer promotion according to claim 2, characterized in that: The specific analysis method of the space utilization compliance index of each batch of food exhibitions is as follows: Through the exhibition information released by exhibitors, we get the original data of historical batches of exhibitions, including the number of booths and floor space of each type of food in each batch of food exhibitions, the number of exhibitors of each type of food, and analyze the display density of each batch of food exhibitions to see if it complies with the index E. p Traffic compliance index R of each batch of food exhibitions p , and then analyze the space utilization compliance index of each batch of food exhibitions. The specific calculation formula is: Q p =E p +R p .
4. A marketing management system based on computer promotion according to claim 3, characterized in that: The display density of each batch of food exhibitions meets the index, and the specific analysis method is as follows: Based on the original data of historical batches of exhibitions, the actual demand for booths in various food display areas of each batch of food exhibitions is evaluated, and based on the planned number of booths in various food display areas of each batch of food exhibitions, the display density compliance index of each batch of food exhibitions is analyzed. The specific calculation formula is: Among them, d pi It represents the planned number of exhibitors in the i-th food display area of the p-th batch of food exhibitions, i = 1, 2, ..., l, i represents the number of food categories, l represents the number of food categories, d pi 'It represents the actual demand quantity of exhibitors for the i-th food in the p-th batch of food exhibitions.
5. A computer-based marketing management system according to claim 4, characterized in that: The specific analysis method of the traffic compliance index of each batch of food exhibitions is as follows: Based on the obtained display density compliance index of each batch of food exhibitions, the display density compliance index of each batch of food exhibitions is compared with the display density compliance index threshold of each batch of food exhibitions stored in the database. If the display density compliance index of each batch of food exhibitions is greater than or equal to the display density compliance index threshold, each batch of food exhibitions is divided into regions to obtain the display concentrated area and dispersed area of each batch of food exhibitions, and the planned number of passers-by and the planned number of shopping carts in each type of food display area of the display concentrated area and dispersed area of each batch of food exhibitions are extracted, and then the traffic compliance index of the display concentrated area of each batch of food exhibitions and the traffic compliance index of the display dispersed area of each batch of food exhibitions are analyzed; Based on the obtained concentrated display areas of each batch of food exhibitions and the exhibition information released by the exhibitors, the original data of the concentrated display areas of the exhibitions of the historical batches of food are extracted, wherein the original data of the concentrated display areas of the exhibitions include the channel width, number of people, number of shopping carts and area of each batch of food exhibitions in the concentrated display areas of each batch of food exhibitions, and then the actual number of people passing through and the actual number of shopping carts in each food display area of the concentrated display areas of each batch of food exhibitions are evaluated, and the traffic compliance index of the concentrated display areas of each batch of food exhibitions is analyzed. The specific calculation formula is: Among them, a pi It is represented by the planned number of shopping carts in the i-th food display area of the p-th batch exhibition of food, a pi ' represents the actual number of shopping carts in the i-th food display area of the p-th batch of food exhibition, g pi It is represented by the planned number of people passing through the i-th food display area in the display concentration area of the p-th batch of food exhibition, g pi 'It is represented by the actual number of people passing through the i-th food display area in the display concentration area of the p-th batch of food exhibition; Analyze the traffic compliance index Y of the scattered display areas of each batch of food exhibitions p ; Analyze the traffic compliance index of each batch of food exhibitions, the specific calculation formula is: R p =T p +Y p .
6. A computer-based marketing management system according to claim 2, characterized in that: The specific analysis method for the qualified index of exhibition facilities for each batch of food exhibitions is as follows: The original data of historical batches of exhibitions are obtained through the exhibition information released by exhibitors. The original data of historical batches of exhibitions include the number of booth lighting equipment, the number of booth interactive equipment and the booth floor space of various food display areas of each batch of food exhibitions. Then, the actual number of booth lighting equipment and the actual number of booth interactive equipment required for various food display areas of each batch of food exhibitions are evaluated. Based on the planned number of booth lighting equipment and the planned number of booth interactive equipment for various food display areas of each batch of food exhibitions, the qualified index of display facilities of each batch of food exhibitions is analyzed. The specific calculation formula is: Among them, j pi It is represented by the number of booth lighting plans for the i-th food display area of the p-th batch of food exhibitions, j pi ' represents the actual demand for booth lighting in the i-th food display area of the p-th batch of food exhibitions, z pi It is represented by the planned number of booth interactive devices in the food exhibition area of the pth batch of food exhibition, z pi ' represents the actual planned number of booth interactive devices in the i-th food display area of the p-th batch of food exhibitions.
7. A marketing management system based on computer promotion according to claim 1, characterized in that: The specific analysis method of the display effect index of each batch of food exhibitions is as follows: The various food display areas of each batch of food exhibitions were tested by colorimeter, X-ray foreign body detector and image clarity measuring instrument to obtain the display data of each batch of food exhibitions, including the brightness, damage value and label clarity of various food display areas of each batch of food exhibitions, and the conformity index N of each batch of food exhibitions was analyzed. p The packaging of each batch of food products meets the index M p , and then analyze the display effect index of each batch of food exhibitions. The specific calculation formula is: β p =N p +M p .
8. A computer-based marketing management system according to claim 7, characterized in that: The specific analysis method of the conformity index of each batch of food exhibitions is as follows: Based on the obtained brightness and darkness of various food display areas and food damage values of various food display areas of various food exhibitions, the damage reference values and reference brightness of various food display areas of various food exhibitions are extracted from the database to analyze the morphological conformity index of various food exhibitions. The specific calculation formula is: Among them, v pi It is expressed as the brightness of the display area of the i-th food in the p-th batch of food exhibition, v pi ' represents the reference brightness of the display area of the i-th food in the p-th batch of food exhibition, b pi It is expressed as the damage value of the food display area of the pth batch of food exhibition, b pi ' represents the damage reference value of the i-th food display area of the p-th batch of food exhibition.
9. A computer-based marketing management system according to claim 7, characterized in that: The specific analysis method for the packaging compliance index of each batch of food exhibitions is as follows: Based on the obtained label clarity of various food display areas of each batch of food exhibitions, and extracting the label clarity reference degree of various food display areas of each batch of food exhibitions from the database, the packaging compliance index of each batch of food exhibitions is analyzed, and the specific calculation formula is: Among them, h pi It is expressed as the label clarity of the food display area of the pth batch of food, h pi 'It is the reference degree of label clarity of the food display area of the i-th food batch exhibition of the p-th food batch.
10. A computer-based marketing management system according to claim 1, characterized in that: The layout and display effects of the food exhibitions in this batch meet the index, and the specific analysis method is as follows: Based on the obtained layout planning compliance index of each batch of food exhibitions and the display effect index of each batch of food exhibitions, the layout display effect compliance index of each batch of food exhibitions is analyzed. The specific calculation formula is: And obtain the various types of food in this batch and their corresponding reference quantities, compare the layout display effect compliance index of each food exhibition in this batch with the various types of food in historical batches and their corresponding reference quantities, obtain the similarity of each type of food, sort them in descending order, and then plan according to the sorting to determine the planning layout diagram of this batch.
Citation Information
Patent Citations
Engineering project process intelligent management system
CN116957517A