Full-process medical equipment online bidding method and storage medium

Abstract

The invention belongs to the technical field of medical equipment online bid invitation, and provides a full-process medical equipment online bid invitation method and a storage medium, and the method comprises the steps: a bid invitation person issues a bid invitation announcement through a bid invitation system on a network; the supplier uploads a bidding file to a bidding system according to the bidding announcement; the bid inviting person reviews the bidding file in the bid inviting system to obtain a review result, and determines a bid winning supplier according to the review result; a bid inviting person signs a purchase contract with the bid winning supplier online through a bid inviting system on the network and completes delivery records of the medical equipment; and the bid inviting personnel retain the whole bid inviting process record through a bid inviting system on the network. According to the invention, the bid invitation system on the network is utilized to perform full-process execution on the bid invitation of the medical equipment, so that the bid invitation efficiency and quality are improved, the transparency and fairness of the bid invitation process are ensured, and a guarantee is provided for efficient and feasible bid invitation of the medical equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of online bidding for medical equipment, and in particular to a full-process online bidding method for medical equipment and a storage medium. Background Art

[0002] With the continuous development of medical technology, the types of medical equipment are increasing, and the performance and quality of various medical equipment are also improving. In the process of purchasing medical equipment, bidding is a common procurement method. The traditional bidding method requires procurement personnel to go to the site to bid. On-site bidding is limited by time and space, and the transparency and fairness of the bidding process are difficult to guarantee.

[0003] Therefore, it is necessary to provide a full-process online bidding method and storage medium for medical equipment. Summary of the invention

[0004] The present invention provides a full-process online bidding method for medical equipment and a storage medium. By utilizing a bidding system on the Internet to perform the full-process bidding of medical equipment, the efficiency and quality of the bidding are improved, which helps to ensure the transparency and fairness of the bidding process and provide a guarantee for efficient and feasible bidding of medical equipment.

[0005] The present invention provides a full-process medical equipment online bidding method, including:

[0006] The tendering personnel publish the tender notice through the tendering system on the Internet;

[0007] Suppliers upload bidding documents to the bidding system according to the bidding notice;

[0008] The tendering personnel review the tender documents in the tendering system, obtain the review results, and determine the winning supplier based on the review results;

[0009] The tendering personnel sign the purchase contract online with the winning supplier through the online tendering system and complete the delivery record of medical equipment;

[0010] The bidding personnel retain records of the entire bidding process through the online bidding system.

[0011] Furthermore, the tendering personnel publish the tender notice through the tendering system on the Internet, including:

[0012] Based on the bidding system database on the Internet, obtain the target bidding system;

[0013] The tendering personnel upload and publish the tender notice based on the target tendering system; the tender notice includes but is not limited to the types of medical equipment, the number of medical equipment, the performance requirements of medical equipment, and the content requirements of the bidding documents.

[0014] Furthermore, suppliers upload bidding documents to the bidding system according to the bidding notice, including:

[0015] Suppliers register and log in to the bidding system to view the bidding notice;

[0016] Suppliers shall submit and upload bidding documents according to the bidding requirements; the contents of the bidding documents include but are not limited to basic information of the supplier, technical data of medical equipment, and price of medical equipment.

[0017] Furthermore, the tendering personnel review the tender documents in the tendering system, obtain the review results, and determine the winning supplier based on the review results, including:

[0018] Based on the set clustering model, the bidding documents are clustered to obtain several clustering groups; the clustering groups include the supplier basic information data group and the medical equipment performance price data group;

[0019] Reviewing and analyzing the supplier basic information data in the supplier basic information data group to obtain a first analysis result;

[0020] Reviewing and analyzing the medical equipment performance price data in the medical equipment performance price data group to obtain a second analysis result;

[0021] Scoring and screening are performed based on the first analysis result and the second analysis result to obtain candidate winning suppliers;

[0022] The delivery capabilities of candidate bidders will be judged, and the winning supplier will be determined based on the judgment results.

[0023] Further, the supplier basic information data in the supplier basic information data group is reviewed and analyzed to obtain a first analysis result, including:

[0024] Acquire the data credibility of the supplier basic information data group based on the big data, and filter out the supplier basic information data whose credibility is less than a set credibility threshold, to obtain a first supplier basic information data group;

[0025] Based on the big data, retrieve the winning bid historical record data and the losing bid historical record data of the basic information data group of the first supplier;

[0026] Based on the successful bid historical record data and the failed bid historical record data, the bidding capability of the supplier of the first supplier basic information data group is analyzed and obtained, and the bidding capability is used as the first analysis result.

[0027] Further, based on the successful bid historical record data and the failed bid historical record data, the bidding capability of the supplier of the first supplier basic information data group is analyzed and the bidding capability is used as the first analysis result, including:

[0028] Based on the historical record data of successful bids and the historical record data of failed bids, obtain the successful bid projects and the failed bid projects;

[0029] According to the winning and losing projects, obtain several other bidding suppliers who participated in the winning and losing projects;

[0030] The supplier is analyzed and compared with several other bidding suppliers in terms of their enterprise strength. In the comparison of the winning bids, a first bidding strength value is obtained. In the comparison of the losing bids, a second bidding strength value is obtained. Based on the first bidding strength value and the second bidding strength value, the bidding strength value of the supplier is calculated, namely:

[0031] W=W1*r1+W2*r2

[0032] Wherein, W represents the bidding strength value of the supplier, W1 represents the first bidding strength value, r1 represents the weight of the first bidding strength value, W2 represents the second bidding strength value, and r2 represents the weight of the second bidding strength value.

[0033] Further, the medical device performance price data in the medical device performance price data group is reviewed and analyzed to obtain a second analysis result, including:

[0034] Obtaining medical equipment performance price data in a medical equipment performance price data group, and extracting a bid price from the medical equipment performance price data;

[0035] Based on big data, obtain the corresponding ex-factory prices of medical equipment;

[0036] Calculate the profit of winning the bid for medical equipment based on the ex-factory price and the bid price;

[0037] Use the set cost prediction model to predict the transportation and installation costs of medical equipment and obtain the cost prediction price;

[0038] Obtain the net winning profit of medical equipment based on the winning profit and cost forecast price;

[0039] Based on the comparison between the net winning bid profit and the set net winning bid profit threshold, the net winning bid profit difference is obtained, and the net winning bid profit difference is used as the second analysis result.

[0040] Furthermore, scoring and screening are performed according to the first analysis result and the second analysis result to obtain candidate winning suppliers, including:

[0041] According to the set assignment conditions, the supplier's bidding strength value and net winning bid profit difference are assigned values ​​respectively to obtain the supplier's score value. According to the score value results, several bidding suppliers with scores higher than the set score value threshold are selected as candidate winning suppliers.

[0042] Furthermore, the delivery capability of the candidate bidders is judged, and the bidder is determined based on the judgment result, including:

[0043] Based on big data, obtain the historical delivery cycle, delivery feedback records and existing inventory quantity of candidate winning suppliers;

[0044] Input historical delivery cycles, delivery feedback records, and existing inventory quantities into the set AI intelligent analysis and judgment model to obtain the judgment results of the delivery capabilities of candidate winning suppliers;

[0045] The winning supplier will be determined based on the judgment results.

[0046] A storage medium stores a computer program and a database. When the computer program is executed by a processor, a full-process online bidding method for medical equipment is implemented; the database is used to store full-process bidding data, which includes but is not limited to information, files, and records of each link of the bidding.

[0047] Compared with the prior art, the present invention has the following advantages and beneficial effects: by utilizing the bidding system on the Internet to execute the entire process of bidding for medical equipment, the efficiency and quality of bidding are improved, which helps to ensure the transparency and fairness of the bidding process, and provides a guarantee for efficient and feasible bidding for medical equipment.

[0048] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0049] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0051] Figure 1 A schematic diagram of the steps of the online bidding method for the entire process of medical equipment;

[0052] Figure 2 A schematic diagram of the steps for tendering personnel to publish a tender notice through the online tendering system;

[0053] Figure 3 A schematic diagram of the steps for suppliers to upload bidding documents to the bidding system based on the bidding announcement. DETAILED DESCRIPTION

[0054] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0055] The present invention provides a full-process medical equipment online bidding method, such as Figure 1 As shown, including:

[0056] The tendering personnel publish the tender notice through the tendering system on the Internet;

[0057] Suppliers upload bidding documents to the bidding system according to the bidding notice;

[0058] The tendering personnel review the tender documents in the tendering system, obtain the review results, and determine the winning supplier based on the review results;

[0059] The tendering personnel sign the purchase contract online with the winning supplier through the online tendering system and complete the delivery record of medical equipment;

[0060] The bidding personnel retain records of the entire bidding process through the online bidding system.

[0061] The working principle of the above technical solution is: in order to realize the full-process online bidding method for medical equipment, the present invention first relies on the bidding personnel to publish a bidding announcement through the bidding system on the Internet; then the supplier uploads the bidding documents to the bidding system according to the bidding announcement; then, the bidding personnel reviews the bidding documents in the bidding system, obtains the review results, and determines the winning supplier based on the review results; the bidding personnel signs a purchase contract online with the winning supplier through the bidding system on the Internet and completes the delivery record of the medical equipment; finally, the bidding personnel retains the record of the entire bidding process through the bidding system on the Internet.

[0062] The beneficial effects of the above technical solution are: by adopting the solution provided in this embodiment, the bidding process of medical equipment is fully executed by utilizing the bidding system on the Internet, which improves the efficiency and quality of the bidding, helps to ensure the transparency and fairness of the bidding process, and provides guarantees for efficient and feasible bidding of medical equipment.

[0063] In one embodiment, Figure 2 As shown in the figure, the tendering personnel publish the tender notice through the tendering system on the Internet, including:

[0064] Based on the bidding system database on the Internet, obtain the target bidding system;

[0065] The tendering personnel upload and publish the tender notice based on the target tendering system; the tender notice includes but is not limited to the types of medical equipment, the number of medical equipment, the performance requirements of medical equipment, and the content requirements of the bidding documents.

[0066] The working principle of the above technical solution is: in order to enable the tendering personnel to publish the tender notice through the tendering system on the Internet, the present invention first obtains the target tendering system based on the tendering system database on the Internet; then the tendering personnel upload and publish the tender notice based on the target tendering system; the tender notice includes but is not limited to the types of medical equipment, the number of medical equipment, the performance requirements of medical equipment, and the content requirements of the bidding documents.

[0067] The beneficial effect of the above technical solution is: by adopting the solution provided in this embodiment, the target bidding system is obtained through the bidding system database based on the network, and the bidding announcement is uploaded and published, which can provide a carrier and conditions for the publication of the bidding announcement.

[0068] In one embodiment, Figure 3 As shown, suppliers upload bidding documents to the bidding system according to the bidding notice, including:

[0069] Suppliers register and log in to the bidding system to view the bidding notice;

[0070] Suppliers shall submit and upload bidding documents according to the bidding requirements; the contents of the bidding documents include but are not limited to basic information of the supplier, technical data of medical equipment, and price of medical equipment.

[0071] The working principle of the above technical solution is: in order to upload the bidding documents to the bidding system, the present invention first requires the supplier to register and log in to the bidding system to view the bidding announcement; then the supplier submits and uploads the bidding documents according to the bidding requirements; the content of the bidding documents includes but is not limited to the basic information of the supplier, technical data of the medical equipment, and the price of the medical equipment.

[0072] The beneficial effect of the above technical solution is: by adopting the solution provided in this embodiment, the supplier registers and logs in to the bidding system to view the bidding announcement; then the supplier submits and uploads the bidding documents according to the bidding requirements, thereby realizing the process of uploading the bidding documents.

[0073] In one embodiment, the tendering personnel reviews the bidding documents in the tendering system, obtains the review results, and determines the winning supplier according to the review results, including:

[0074] Based on the set clustering model, the bidding documents are clustered to obtain several clustering groups; the clustering groups include the supplier basic information data group and the medical equipment performance price data group;

[0075] Reviewing and analyzing the supplier basic information data in the supplier basic information data group to obtain a first analysis result;

[0076] Reviewing and analyzing the medical equipment performance price data in the medical equipment performance price data group to obtain a second analysis result;

[0077] Scoring and screening are performed based on the first analysis result and the second analysis result to obtain candidate winning suppliers;

[0078] The delivery capabilities of candidate bidders will be judged, and the winning supplier will be determined based on the judgment results.

[0079] The working principle of the above technical solution is: in order to enable the tendering personnel to review the bidding documents in the bidding system, obtain the review results, and determine the winning supplier based on the review results, the present invention first clusters the bidding documents based on the set clustering model to obtain several clustering groups; the clustering groups include a supplier basic information data group and a medical equipment performance price data group; then the supplier basic information data in the supplier basic information data group is reviewed and analyzed to obtain a first analysis result; the medical equipment performance price data in the medical equipment performance price data group is reviewed and analyzed to obtain a second analysis result; scoring and screening are performed based on the first analysis result and the second analysis result to obtain candidate winning suppliers; finally, the delivery capability of the candidate winning suppliers is judged, and the winning supplier is determined based on the judgment result.

[0080] The beneficial effect of the above technical solution is: by adopting the solution provided in this embodiment, the bidding personnel can review the bidding documents in the bidding system, obtain the review results, and determine the winning supplier based on the review results, thereby ensuring the accuracy of the determination of the winning supplier.

[0081] In one embodiment, the supplier basic information data in the supplier basic information data group is audited and analyzed to obtain a first analysis result, including:

[0082] Acquire the data credibility of the supplier basic information data group based on the big data, and filter out the supplier basic information data whose credibility is less than a set credibility threshold, to obtain a first supplier basic information data group;

[0083] Based on the big data, retrieve the winning bid historical record data and the losing bid historical record data of the basic information data group of the first supplier;

[0084] Based on the successful bid historical record data and the failed bid historical record data, the bidding capability of the supplier of the first supplier basic information data group is analyzed and obtained, and the bidding capability is used as the first analysis result.

[0085] The working principle of the above technical solution is: in order to realize the audit and analysis of the supplier basic information data in the supplier basic information data group and obtain the first analysis result, the present invention obtains the data credibility of the supplier basic information data group based on big data, and filters out the supplier basic information data with a credibility less than the set credibility threshold to obtain the first supplier basic information data group; based on the big data, retrieve the winning bid historical record data and the losing bid historical record data of the first supplier basic information data group; finally, based on the winning bid historical record data and the losing bid historical record data, analyze and obtain the bidding ability of the supplier in the first supplier basic information data group, and take the bidding ability as the first analysis result.

[0086] The beneficial effect of the above technical solution is: by adopting the solution provided in this embodiment, the supplier basic information data in the supplier basic information data group is reviewed and analyzed to obtain a first analysis result, which can provide a reference for the subsequent determination of the winning supplier.

[0087] In one embodiment, based on the successful bid historical record data and the failed bid historical record data, analyzing and obtaining the bidding capability of the supplier of the first supplier basic information data group, and taking the bidding capability as the first analysis result, includes:

[0088] Based on the historical record data of successful bids and the historical record data of failed bids, obtain the successful bid projects and the failed bid projects;

[0089] According to the winning and losing projects, obtain several other bidding suppliers who participated in the winning and losing projects;

[0090] The supplier is analyzed and compared with several other bidding suppliers in terms of their enterprise strength. In the comparison of the winning bids, a first bidding strength value is obtained. In the comparison of the losing bids, a second bidding strength value is obtained. Based on the first bidding strength value and the second bidding strength value, the bidding strength value of the supplier is calculated, namely:

[0091] W=W1*r1+W2*r2

[0092] Wherein, W represents the bidding strength value of the supplier, W1 represents the first bidding strength value, r1 represents the weight of the first bidding strength value, W2 represents the second bidding strength value, and r2 represents the weight of the second bidding strength value.

[0093] The working principle of the above technical solution is: in order to analyze and obtain the bidding ability of the supplier of the first supplier basic information data group based on the winning bid historical record data and the losing bid historical record data, and take the bidding ability as the first analysis result, the present invention first obtains the winning bid projects and the losing bid projects based on the winning bid historical record data and the losing bid historical record data; then, based on the winning bid projects and the losing bid projects, obtains several other participating bidding suppliers who participated in the winning bid projects and the losing bid projects; then, analyzes and compares the supplier's corporate strength with several participating bidding suppliers, and obtains a first bidding strength value in the comparison of the participating winning bid projects; obtains a second bidding strength value in the comparison of the participating losing bid projects, and calculates the supplier's bidding strength value based on the first bidding strength value and the second bidding strength value.

[0094] The beneficial effect of the above technical solution is: by adopting the solution provided in this embodiment, the supplier's bidding strength value is calculated based on the analysis of the historical record data of successful bids and the historical record data of failed bids, which can be used as an evaluation condition for bidding ability and provide a reference for subsequent analysis.

[0095] In one embodiment, the medical device performance price data in the medical device performance price data group is audited and analyzed to obtain a second analysis result, including:

[0096] Obtaining medical equipment performance price data in a medical equipment performance price data group, and extracting a bid price from the medical equipment performance price data;

[0097] Based on big data, obtain the corresponding ex-factory prices of medical equipment;

[0098] Calculate the profit of winning the bid for medical equipment based on the ex-factory price and the bid price;

[0099] Use the set cost prediction model to predict the transportation and installation costs of medical equipment and obtain the cost prediction price;

[0100] Obtain the net winning profit of medical equipment based on the winning profit and cost forecast price;

[0101] Based on the comparison between the net winning bid profit and the set net winning bid profit threshold, the net winning bid profit difference is obtained, and the net winning bid profit difference is used as the second analysis result.

[0102] The working principle of the above technical solution is: in order to realize the review and analysis of the medical equipment performance price data in the medical equipment performance price data group, the present invention first obtains the medical equipment performance price data in the medical equipment performance price data group, and extracts the bid price from the medical equipment performance price data; firstly, based on the big data, the ex-factory price corresponding to the medical equipment is obtained; then, according to the ex-factory price and the bid price, the winning bid profit of the medical equipment is calculated; finally, the transportation and installation costs of the medical equipment are predicted by the set cost prediction model to obtain the cost prediction price; according to the winning bid profit and the cost prediction price, the net winning bid profit of the medical equipment is obtained; according to the comparison between the net winning bid profit and the set net winning bid profit threshold, the net winning bid profit difference is obtained, and the net winning bid profit difference is used as the second analysis result.

[0103] The beneficial effect of the above technical solution is: by adopting the solution provided in this embodiment, through the analysis of the performance price data of medical equipment, the net winning bid profit difference obtained is used as the second analysis result to provide a reference and basis for subsequent analysis.

[0104] In one embodiment, scoring and screening are performed according to the first analysis result and the second analysis result to obtain candidate winning suppliers, including:

[0105] According to the set assignment conditions, the supplier's bidding strength value and net winning bid profit difference are assigned values ​​respectively to obtain the supplier's score value. According to the score value results, several bidding suppliers with scores higher than the set score value threshold are selected as candidate winning suppliers.

[0106] The working principle of the above technical solution is: in order to perform scoring and screening according to the first analysis result and the second analysis result to obtain candidate winning suppliers, the present invention first assigns values ​​to the supplier's bidding strength value and net winning profit difference according to the set assignment conditions to obtain the supplier's scoring value, and then, based on the scoring value results, obtains several bidding suppliers whose scoring values ​​are higher than the set scoring value threshold as candidate winning suppliers.

[0107] The beneficial effect of the above technical solution is: by adopting the solution provided in this embodiment, by scoring and screening according to the first analysis result and the second analysis result, a comprehensive and accurate candidate winning supplier can be screened out.

[0108] In one embodiment, judging the delivery capability of the candidate winning suppliers and determining the winning supplier according to the judgment result includes:

[0109] Based on big data, obtain the historical delivery cycle, delivery feedback records and existing inventory quantity of candidate winning suppliers;

[0110] Input historical delivery cycles, delivery feedback records, and existing inventory quantities into the set AI intelligent analysis and judgment model to obtain the judgment results of the delivery capabilities of candidate winning suppliers;

[0111] The winning supplier will be determined based on the judgment results.

[0112] The working principle of the above technical solution is: in order to judge the delivery capacity of candidate winning suppliers and determine the winning supplier according to the judgment results, the present invention first obtains the historical delivery cycle, delivery feedback records and existing inventory quantity of candidate winning suppliers based on big data; then inputs the historical delivery cycle, delivery feedback records and existing inventory quantity into the set AI intelligent analysis and judgment model to obtain the judgment result of the delivery capacity of the candidate winning suppliers; finally, determines the winning supplier according to the judgment result.

[0113] The beneficial effect of the above technical solution is: by adopting the solution provided in this embodiment, the winning supplier is determined based on the judgment of the delivery capacity of the candidate winning suppliers, which can provide a guarantee for the smooth delivery of medical equipment.

[0114] A storage medium stores a computer program and a database. When the computer program is executed by a processor, a full-process online bidding method for medical equipment is implemented; the database is used to store full-process bidding data, which includes but is not limited to information, files, and records of each link of the bidding.

[0115] The working principle of the above technical solution is: in order to realize the storage of computer programs and databases, the present invention is implemented through a storage medium, and when the computer program is executed by the processor, a full-process online bidding method for medical equipment is realized; the database is used to store the full-process bidding data, and the full-process bidding data includes but is not limited to information, files, and records of each link of the bidding.

[0116] The beneficial effect of the above technical solution is: by adopting the solution provided in this embodiment, by using the memory to store computer programs and databases, a full-process medical equipment online bidding method can be executed, and a basis for subsequent queries and audits can be provided based on the stored data.

[0117] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A full-process online bidding method for medical equipment, characterized in that: include: The tendering personnel publish the tender notice through the tendering system on the Internet; Suppliers upload bidding documents to the bidding system according to the bidding notice; The tendering personnel review the tender documents in the tendering system, obtain the review results, and determine the winning supplier based on the review results; The tendering personnel sign the purchase contract online with the winning supplier through the online tendering system and complete the delivery record of medical equipment; The bidding personnel retain records of the entire bidding process through the online bidding system.

2. The full-process online bidding method for medical equipment according to claim 1 is characterized in that: The tendering personnel publish the tender notice through the tendering system on the Internet, including: Based on the bidding system database on the Internet, obtain the target bidding system; The tendering personnel upload and publish the tender notice based on the target tendering system; the tender notice includes but is not limited to the types of medical equipment, the number of medical equipment, the performance requirements of medical equipment, and the content requirements of the bidding documents.

3. The full-process online bidding method for medical equipment according to claim 1 is characterized in that: Suppliers upload bidding documents to the bidding system according to the bidding announcement, including: Suppliers register and log in to the bidding system to view the bidding notice; Suppliers shall submit and upload bidding documents according to the bidding requirements; the contents of the bidding documents include but are not limited to basic information of the supplier, technical data of medical equipment, and price of medical equipment.

4. The full-process medical equipment online bidding method according to claim 1 is characterized in that: The tendering personnel shall review the tender documents in the tendering system, obtain the review results, and determine the winning supplier based on the review results, including: Based on the set clustering model, the bidding documents are clustered to obtain several clustering groups; the clustering groups include the supplier basic information data group and the medical equipment performance price data group; Reviewing and analyzing the supplier basic information data in the supplier basic information data group to obtain a first analysis result; Reviewing and analyzing the medical equipment performance price data in the medical equipment performance price data group to obtain a second analysis result; Scoring and screening are performed based on the first analysis result and the second analysis result to obtain candidate winning suppliers; The delivery capabilities of candidate bidders will be judged, and the winning supplier will be determined based on the judgment results.

5. The full-process online bidding method for medical equipment according to claim 4 is characterized in that: The supplier basic information data in the supplier basic information data group is reviewed and analyzed to obtain a first analysis result, including: Acquire the data credibility of the supplier basic information data group based on the big data, and filter out the supplier basic information data whose credibility is less than a set credibility threshold, to obtain a first supplier basic information data group; Based on the big data, retrieve the winning bid historical record data and the losing bid historical record data of the basic information data group of the first supplier; Based on the successful bid historical record data and the failed bid historical record data, the bidding capability of the supplier of the first supplier basic information data group is analyzed and obtained, and the bidding capability is used as the first analysis result.

6. The full-process online bidding method for medical equipment according to claim 5 is characterized in that: Based on the successful bid historical record data and the failed bid historical record data, the bidding capability of the supplier of the first supplier basic information data group is analyzed and obtained, and the bidding capability is used as the first analysis result, including: Based on the historical record data of successful bids and the historical record data of failed bids, obtain the successful bid projects and the failed bid projects; According to the winning and losing projects, obtain several other bidding suppliers who participated in the winning and losing projects; The supplier is analyzed and compared with several other bidding suppliers in terms of their enterprise strength. In the comparison of the winning bids, a first bidding strength value is obtained. In the comparison of the losing bids, a second bidding strength value is obtained. Based on the first bidding strength value and the second bidding strength value, the bidding strength value of the supplier is calculated, namely: W=W1*r1+W2*r2 Wherein, W represents the bidding strength value of the supplier, W1 represents the first bidding strength value, r1 represents the weight of the first bidding strength value, W2 represents the second bidding strength value, and r2 represents the weight of the second bidding strength value.

7. The full-process online bidding method for medical equipment according to claim 4 is characterized in that: The medical equipment performance price data in the medical equipment performance price data group are reviewed and analyzed to obtain a second analysis result, including: Obtaining medical equipment performance price data in a medical equipment performance price data group, and extracting a bid price from the medical equipment performance price data; Based on big data, obtain the corresponding ex-factory prices of medical equipment; Calculate the profit of winning the bid for medical equipment based on the ex-factory price and the bid price; Use the set cost prediction model to predict the transportation and installation costs of medical equipment and obtain the cost prediction price; Obtain the net winning profit of medical equipment based on the winning profit and cost forecast price; Based on the comparison between the net winning bid profit and the set net winning bid profit threshold, the net winning bid profit difference is obtained, and the net winning bid profit difference is used as the second analysis result.

8. The full-process medical equipment online bidding method according to claim 7 is characterized in that: According to the first analysis result and the second analysis result, score and screen to obtain candidate winning suppliers, including: According to the set assignment conditions, the supplier's bidding strength value and net winning bid profit difference are assigned values ​​respectively to obtain the supplier's score value. According to the score value results, several bidding suppliers with scores higher than the set score value threshold are selected as candidate winning suppliers.

9. The full-process medical equipment online bidding method according to claim 4 is characterized in that: Determine the delivery capabilities of the candidate bidders and determine the winning bidder based on the results of the determination, including: Based on big data, obtain the historical delivery cycle, delivery feedback records and existing inventory quantity of candidate winning suppliers; Input historical delivery cycles, delivery feedback records, and existing inventory quantities into the set AI intelligent analysis and judgment model to obtain the judgment results of the delivery capabilities of candidate winning suppliers; The winning supplier will be determined based on the judgment results.

10. A storage medium storing a computer program and a database, characterized in that: When the computer program is executed by the processor, it implements the full-process medical equipment online bidding method as described in any one of claims 1 to 9; the database is used to store the full-process bidding data, which includes but is not limited to information, files, and records of each link of the bidding.

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