Intelligent sales system for network equipment

Abstract

The invention discloses a network equipment intelligent sales system, which comprises a quality evaluation module, a weight analysis module, a classification display module, a sales analysis module and a management distribution module, and relates to the technical field of network equipment sales. According to the intelligent sales system for the network equipment, after performance test scoring, service life scoring and appearance wear scoring are carried out on the network equipment, the quality evaluation score of the network equipment is obtained, and the quality level is judged according to the quality evaluation score, so that reference data are provided for drawing up the lease price and the trading price of the network equipment; intelligent screening of corresponding network equipment can be carried out according to target demands of clients, sales efficiency and client satisfaction are improved, social resource circulation is realized, more values are created for owners, data reference is provided for the clients to select leasing or sell through display of leasing cost, sell cost and return leasing duration, and the user experience is improved. And the growth of the system can be effectively improved while the sales flexibility is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of network equipment sales, and in particular to an intelligent sales system for network equipment. Background Art

[0002] Network devices and components are physical entities connected to the network. There are many types of network devices, and they are increasing day by day. Basic network devices include: computers, hubs, switches, bridges, routers, gateways, network interface cards, wireless access points, printers and modems, fiber optic transceivers, optical cables, etc.

[0003] For network equipment, its service life is generally long. For short-term users of network equipment, it is easy to be idle after purchasing the network equipment, which not only wastes social resources, but also easily gets damaged due to long-term non-use. At the same time, after the owner pays a high purchase cost, it is impossible to achieve efficient use of the network equipment. For this reason, an intelligent sales system for network equipment is proposed to provide leasing services for network equipment. While providing network equipment for short-term users, it can also realize the circulation of social resources, create value for network equipment owners, and achieve efficient use of network equipment. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides an intelligent sales system for network equipment, which solves the problem that when network equipment is idle, social resources are wasted, the network equipment is easily damaged due to long-term non-use, and the owner cannot achieve efficient use of the network equipment after paying a high purchase cost.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a network equipment intelligent sales system, comprising:

[0006] A quality assessment module, which is connected to the weight analysis module and is used to perform quality assessment on network devices and obtain quality scores;

[0007] A weight analysis module, which is connected to the classification display module and is used to formulate the buying and selling prices and the rental prices of network equipment according to the quality scores;

[0008] A classification display module, which is connected to the sales analysis module and is used to classify network devices and display the buying and selling prices and rental prices of the corresponding network devices;

[0009] A sales analysis module, which is connected to the management and distribution module and is used to make recommendations on network equipment leasing and sales based on customer target needs;

[0010] The management and distribution module is used to send the network device to the customer's target address after the customer determines to lease or buy and sell the network device, and is also used to receive the network device returned by the customer and perform security verification.

[0011] The present invention is further configured as follows: the method of performing quality assessment on the network device and obtaining the quality score includes:

[0012] A1. Test the key performance indicators of the network equipment and score the network equipment with a full score of 100 based on the test results. The key performance indicators of the network equipment include but are not limited to throughput, latency and stability;

[0013] A2. Construct the scoring logic for the service life of network equipment, and score the service life of network equipment with a full score of 100 based on the factory age of the network equipment and the current time;

[0014] A3. Manually observe the appearance of network equipment to determine whether there is obvious wear and tear, and give the network equipment a 100-point appearance wear and tear score;

[0015] A4. Obtain the quality assessment score by taking the weighted sum of the performance test score, service life score and appearance wear score;

[0016] A5. Perform gradient level determination on the quality assessment score to obtain the quality level of the network device.

[0017] The present invention is further configured as follows: the method of constructing the network equipment service life scoring logic in A2 includes:

[0018] A=MAX(L,100-d×y)

[0019] In the formula, A is the service life score, L is the lowest service life score, y is the service life, and d is the number of scores deducted each year.

[0020] The present invention is further configured as follows: A4 performs weighted summation according to the performance test score, the service life score and the appearance wear score to obtain the quality assessment score, including:

[0021]

[0022] W1+W2+W3=1

[0023] Where Q is the quality assessment score, P is the performance test score, W1 is the weight of the performance test score, A is the service life score, W2 is the weight of the service life score, M is the appearance wear score, and W3 is the weight of the appearance wear score.

[0024] The present invention is further configured as follows: the method for formulating the buying and selling price and the leasing price of the network equipment according to the quality score includes:

[0025] B1. Obtain the current average market price of network equipment, and formulate the buying and selling prices of network equipment according to the quality assessment scores of network equipment and the corresponding quality levels;

[0026] B2. Formulate the rental price according to the quality level corresponding to the quality assessment score of the network equipment, and obtain the useful life of the network equipment to maintain the current quality level as the rental price within the useful life.

[0027] The present invention is further configured as follows: the method of formulating the buying and selling prices of network devices according to the quality evaluation scores of network devices and the corresponding quality levels in B1 includes:

[0028]

[0029] In the formula, S is the buying and selling price of network equipment, T is the current average market price of network equipment, is the price weight of the i-th quality level, q iMIN is the minimum quality assessment score of the i-th quality level, q iMAX is the highest quality assessment score of the i-th quality level, T i is the price premium for the i-th quality level.

[0030] The present invention is further configured as follows: the customer target requirements include: the type of network equipment required, the quality level of the network equipment required, and the usage time of the network equipment required.

[0031] The present invention is further configured as follows: the method of recommending network equipment leasing and buying and selling according to customer target needs includes:

[0032] C1. Filter the corresponding type of network devices from the classification display module according to the required network device type, as a screening result;

[0033] C2. According to the required network device quality level, select network devices that meet the quality level requirements from the first screening results as the second screening results;

[0034] C3. Based on the service life of the required network equipment, select network equipment whose service life of maintaining the current quality level exceeds the service life from the secondary screening results as network equipment to be leased;

[0035] C4. Obtain the rental cost based on the product of the rental price and the usage time of the network equipment to be leased, and calculate the payback rental time corresponding to the current buying and selling price of the network equipment to be leased;

[0036] C5. Display the leasing cost, buying and selling price and payback period to customers so that they can choose to lease or sell.

[0037] The present invention is further configured as follows: the method for calculating the payback lease duration corresponding to the current buying and selling price of the network device to be leased includes:

[0038] After deducting the leasing cost from the purchase and sale price of the network equipment to be leased, the payback amount is obtained, and the ideal quality assessment score of the network equipment to be leased after the use period is obtained. The payback amount is calculated corresponding to the leasing period as the payback leasing period.

[0039] The present invention is further configured as follows: the security verification method includes:

[0040] The quality level of the network equipment when the customer rents the network equipment is used as the reference level;

[0041] Calculate the quality assessment score of the network equipment and the corresponding quality level when the customer returns the leased network equipment as the real-time level;

[0042] When the real-time level is equal to the reference level, the network equipment is judged to be returned normally. When the real-time level is lower than the reference level, the network equipment is judged to be returned abnormally. Based on the service life required for the reference-level network equipment to reach the real-time level, as well as the current rental prices of different quality levels, the loss cost is calculated as the supplementary cost of the network equipment.

[0043] The present invention provides a network equipment intelligent sales system, which has the following beneficial effects:

[0044] (1) The present invention obtains a quality assessment score for network equipment by scoring its performance, service life, and appearance wear, and uses this score to determine the quality level, providing reference data for the formulation of the rental price and the purchase and sale price of network equipment. It can also intelligently screen corresponding network equipment according to customer target needs, thereby improving sales efficiency and customer satisfaction, realizing the circulation of social resources, and creating more value for the owner.

[0045] (2) The present invention provides data reference for customers to choose to lease or sell by displaying the lease cost, sale cost and payback lease time, thereby improving sales flexibility and effectively improving the growth potential of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a system architecture block diagram of the present invention.

[0047] In the figure:

[0048] 1. Quality assessment module;

[0049] 2. Weight analysis module;

[0050] 3. Classification display module;

[0051] 4. Sales analysis module;

[0052] 5. Manage distribution module. DETAILED DESCRIPTION

[0053] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0054] See also Figure 1 , the embodiment of the present invention provides the following technical solutions:

[0055] Embodiment 1: A network equipment intelligent sales system, as shown in the attached Figure 1 As shown, it is composed of a quality assessment module 1, a weight analysis module 2, a classification display module 3 and a sales analysis module 4, wherein the quality assessment module 1 is used to perform quality assessment on network equipment and obtain a quality score. Specifically, the method of performing quality assessment on network equipment and obtaining a quality score includes:

[0056] A1. Test the key performance indicators of the network equipment and score the network equipment with a full score of 100 based on the test results. The key performance indicators of the network equipment include but are not limited to throughput, i.e. the amount of data processed by the equipment per unit time, latency, i.e. the time required for data to travel from the sender to the receiver, and stability, i.e. the performance fluctuation of the equipment during long-term operation. After testing the key performance indicators of the network equipment, score each indicator based on the test results. The highest score of all indicators is 100. After obtaining the sum of the scores of all indicators, it can be used as the performance test score;

[0057] A2. Construct the scoring logic of network equipment service life, including:

[0058] A=MAX(L,100-d×y)

[0059] In the formula, A is the service life score, L is the lowest score of the service life score, y is the service life, and d is the number of scores deducted each year:

[0060] Combine the factory age of the network equipment and the current time to rate the network equipment's age out of 100.

[0061] A3. Manually observe the appearance of the network equipment to determine whether there is obvious wear and tear, and give the network equipment a full score of 100 for appearance wear and tear. Specifically, the network equipment is divided into appearance components according to different network devices, and a scoring threshold is formulated for the appearance components. The sum of the highest scores of all appearance components is 100. Then observe whether there is obvious wear and tear on the surface of the appearance components, and score them within the corresponding scoring threshold. The sum of the final scores of all appearance components is the appearance wear and tear score. When all appearance components are not worn, the score is 100.

[0062] A4. The quality assessment score is obtained by weighted summing the performance test score, service life score and appearance wear score, including:

[0063]

[0064] W1+W2+W3=1

[0065] Wherein, Q is the quality assessment score, P is the performance test score, W1 is the weight of the performance test score, A is the service life score, W2 is the weight of the service life score, M is the appearance wear score, and W3 is the weight of the appearance wear score;

[0066] A5. Perform gradient level determination on the quality assessment score to obtain the quality level of the network device.

[0067] As a preferred solution, the quality assessment module 1 is connected to the weight analysis module 2. The weight analysis module 2 is used to formulate the purchase and sale price and rental price of the network equipment according to the quality score, specifically including:

[0068] B1. Obtain the current average market price of network equipment, and formulate the buying and selling prices of network equipment according to the quality evaluation scores of network equipment and the corresponding quality levels. The specific methods include:

[0069]

[0070] In the formula, S is the buying and selling price of network equipment, T is the current average market price of network equipment, is the price weight of the i-th quality level, q iMIN is the minimum quality assessment score of the i-th quality level, q iMAX is the highest quality assessment score of the i-th quality level, T i is the price premium for the i-th quality level;

[0071] B2. Formulate the rental price according to the quality level corresponding to the quality assessment score of the network equipment, and obtain the useful life of the network equipment to maintain the current quality level as the rental price within the useful life.

[0072] As a preferred solution, in order to facilitate customers to rent and purchase network equipment, the weight analysis module 2 is connected to the classification display module 3. The classification display module 3 is used to classify network equipment and display the buying, selling and leasing prices of the corresponding network equipment.

[0073] As a preferred solution, the classification display module 3 is connected to the sales analysis module 4. The sales analysis module 4 is used to recommend network devices according to customer target needs, wherein the customer target needs include: the type of network device required, the quality level of the network device required, and the usage time of the network device required. The recommendation method specifically includes:

[0074] C1. Filter the corresponding type of network devices from the classification display module 3 according to the required network device type, as a screening result;

[0075] C2. According to the required network device quality level, select network devices that meet the quality level requirements from the first screening results as the second screening results;

[0076] C3. Based on the usage time of the required network equipment, select network equipment whose usable years of maintaining the current quality level exceed the usage time from the secondary screening results as the network equipment to be leased.

[0077] In this embodiment, the corresponding network devices can be intelligently screened according to the customer's target needs, which can effectively improve sales efficiency and customer satisfaction.

[0078] Embodiment 2: This embodiment is an improvement of the previous embodiment. A network equipment intelligent sales system further includes a management and distribution module 5. The sales analysis module 4 is connected to the management and distribution module 5. The management and distribution module 5 is used to send the network equipment to the customer's target address after the customer determines to lease or buy and sell the network equipment. It is also used to receive the network equipment returned by the customer and perform security verification. The security verification method includes:

[0079] The quality level of the network equipment when the customer leases the network equipment is used as the reference level; the quality assessment score of the network equipment and the corresponding quality level when the customer returns the leased network equipment are calculated as the real-time level; when the real-time level is equal to the reference level, the network equipment is judged to be returned normally; when the real-time level is lower than the reference level, the network equipment is judged to be returned abnormally; based on the service life required for the reference-level network equipment to reach the real-time level network equipment, as well as the current rental prices of different quality levels, the loss cost is calculated as the supplementary cost of the network equipment.

[0080] To further explain, when the network equipment is completely damaged, the ideal purchase and sale price of the network equipment after the service life is used as a supplementary cost, wherein the ideal purchase and sale price is the purchase and sale price of the network equipment when only the change in the service life score is considered.

[0081] It should be noted that the calculation method of the supplementary cost will be informed to the customer before the customer decides to lease the network equipment.

[0082] As a preferred solution, the sales analysis module 4 is also used to make recommendations on network equipment leasing and sales according to customer target needs, specifically including:

[0083] C4. Obtain the rental cost based on the product of the rental price and the usage time of the network equipment to be leased, obtain the payback amount by deducting the rental cost from the purchase and sale price of the network equipment to be leased, obtain the ideal quality evaluation score of the network equipment to be leased after the usage time, calculate the payback amount corresponding to the rental time, and use it as the payback rental time;

[0084] C5. Display the leasing cost, buying and selling price and payback period to customers so that they can choose to lease or sell.

[0085] The advantage of the second embodiment over the first embodiment is that by showing the leasing cost, buying and selling price and payback period to the customer, it helps to establish a long-term cooperative relationship between the customer and the system, improves customer loyalty, and is beneficial to the growth of the system. In addition, by setting supplementary costs, the leasing risk is effectively reduced.

[0086] During use, the customer browses the network equipment information provided by the classification display module 3. After the customer determines the type of network equipment required, the quality level of the network equipment required, and the usage time of the network equipment required, the sales analysis module 4 intelligently screens the network equipment that meets the customer's target needs. When the user determines a certain network equipment, the sales analysis module 4 displays the rental cost, the purchase and sale price, and the payback rental time to the customer. Before the customer chooses to rent a network equipment, the supplementary cost rules are informed to the customer:

[0087] After the customer confirms to lease the network equipment, the management and distribution module 5 sends the network equipment to the customer's target address. After the lease of the network equipment expires, the network equipment returned by the customer is received and security verification is performed to determine whether the network equipment is in a normal return state. If yes, the return is completed. If not, it indicates that the return is abnormal and the customer is required to provide additional costs. The quality evaluation score and the corresponding quality level of the network equipment are then used to update the quality evaluation score and the corresponding quality level of the network equipment when the customer returns the leased network equipment.

[0088] After the customer decides to buy the network device, the management and distribution module 5 sends the network device to the customer's target address. When the network device is received again, security verification is performed and the quality assessment score and corresponding quality level of the network device are updated.

[0089] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A network equipment intelligent sales system, characterized in that: include: A quality assessment module (1), the quality assessment module (1) being connected to the weight analysis module (2), the quality assessment module (1) being used to perform quality assessment on the network device and obtain a quality score; A weight analysis module (2), the weight analysis module (2) being connected to the classification display module (3), and the weight analysis module (2) being used to formulate the buying and selling price and the rental price of the network equipment according to the quality score; A classification display module (3), the classification display module (3) being connected to the sales analysis module (4), the classification display module (3) being used to classify the network devices and to display the buying and selling prices and rental prices of the corresponding network devices; A sales analysis module (4), the sales analysis module (4) being connected to the management and distribution module (5), and the sales analysis module (4) being used to make recommendations on network equipment leasing and sales according to customer target needs; A management distribution module (5) is used to send the network device to the customer's target address after the customer determines to lease or buy and sell the network device, and is also used to receive the network device returned by the customer and perform security verification.

2. A network equipment intelligent sales system according to claim 1, characterized in that: The method of evaluating the quality of the network device and obtaining the quality score includes: A1. Test the key performance indicators of network equipment and score the network equipment with a full score of 100 based on the test results; A2. Construct the scoring logic for the service life of network equipment, and score the service life of network equipment with a full score of 100 based on the factory age of the network equipment and the current time; A3. Manually observe the appearance of network equipment to determine whether there is obvious wear and tear, and give the network equipment a 100-point appearance wear and tear score; A4. Obtain the quality assessment score by taking the weighted sum of the performance test score, service life score and appearance wear score; A5. Perform gradient level determination on the quality assessment score to obtain the quality level of the network device.

3. A network equipment intelligent sales system according to claim 2, characterized in that: The method of constructing the scoring logic of the service life of network equipment in A2 includes: A=MAX(L,100-d×y) In the formula, A is the service life score, L is the lowest service life score, y is the service life, and d is the number of scores deducted each year.

4. A network equipment intelligent sales system according to claim 3, characterized in that: In A4, the weighted sum of the performance test score, the service life score and the appearance wear score is performed to obtain the quality assessment score, including: W1+W2+W3=1 Where Q is the quality assessment score, P is the performance test score, W1 is the weight of the performance test score, A is the service life score, W2 is the weight of the service life score, M is the appearance wear score, and W3 is the weight of the appearance wear score.

5. A network equipment intelligent sales system according to claim 4, characterized in that: The method of formulating the purchase and sale price and rental price of network equipment according to the quality score includes: B1. Obtain the current average market price of network equipment, and formulate the buying and selling prices of network equipment according to the quality assessment scores of network equipment and the corresponding quality levels; B2. Formulate the rental price according to the quality level corresponding to the quality assessment score of the network equipment, and obtain the useful life of the network equipment to maintain the current quality level as the rental price within the useful life.

6. A network equipment intelligent sales system according to claim 5, characterized in that: The method of formulating the buying and selling prices of network devices according to the quality evaluation scores of network devices and the corresponding quality levels in B1 includes: In the formula, S is the buying and selling price of network equipment, T is the current average market price of network equipment, and W qi is the price weight of the i-th quality level, q iMIN is the minimum quality assessment score of the i-th quality level, q iMAX is the highest quality assessment score of the i-th quality level, T i is the price premium for the i-th quality level.

7. A network equipment intelligent sales system according to claim 5, characterized in that: The customer target requirements include: the type of network equipment required, the quality level of the network equipment required, and the usage time of the network equipment required.

8. A network equipment intelligent sales system according to claim 7, characterized in that: The methods of recommending network equipment leasing and sales based on customer target needs include: C1. Filtering the corresponding type of network devices from the classification display module (3) according to the type of network devices required, as a screening result; C2. According to the required network device quality level, select network devices that meet the quality level requirements from the first screening results as the second screening results; C3. Based on the service life of the required network equipment, select network equipment whose service life of maintaining the current quality level exceeds the service life from the secondary screening results as network equipment to be leased; C4. Obtain the rental cost based on the product of the rental price and the usage time of the network equipment to be leased, and calculate the payback rental time corresponding to the current buying and selling price of the network equipment to be leased; C5. Display the leasing cost, buying and selling price and payback period to customers so that they can choose to lease or sell.

9. A network equipment intelligent sales system according to claim 8, characterized in that: The method of calculating the payback lease time corresponding to the current buying and selling price of the network device to be leased includes: After deducting the leasing cost from the purchase and sale price of the network equipment to be leased, the payback amount is obtained, and the ideal quality assessment score of the network equipment to be leased after the use period is obtained. The payback amount is calculated corresponding to the leasing period as the payback leasing period.

10. A network equipment intelligent sales system according to claim 2, characterized in that: The security verification methods include: The quality level of the network equipment when the customer rents the network equipment is used as the reference level; Calculate the quality assessment score of the network equipment and the corresponding quality level when the customer returns the leased network equipment as the real-time level; When the real-time level is equal to the reference level, the network equipment is judged to be returned normally. When the real-time level is lower than the reference level, the network equipment is judged to be returned abnormally. Based on the service life required for the reference-level network equipment to reach the real-time level, as well as the current rental prices of different quality levels, the loss cost is calculated as the supplementary cost of the network equipment.

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