CN113420060A - Method for counting automobile post-market performance based on multi-dimensional custom rule - Google Patents
Method for counting automobile post-market performance based on multi-dimensional custom rule Download PDFInfo
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- CN113420060A CN113420060A CN202110512162.3A CN202110512162A CN113420060A CN 113420060 A CN113420060 A CN 113420060A CN 202110512162 A CN202110512162 A CN 202110512162A CN 113420060 A CN113420060 A CN 113420060A
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Abstract
The invention discloses a method for counting automobile after-market performance based on a multi-dimensional custom rule, which comprises the following steps: the system comprises a performance rule making module, a system cloud platform, a performance template module and a data processing module, wherein the performance rule making module is used for making different performance rules according to the personnel required to be equipped for the after-market service of the automobile and the content of the required service, and the different performance rules are summarized into different performance template modules to be stored in the system cloud platform; the data collection module collects the personnel and the equipped services of all affiliated member stores in the local company platform and the service prices. The method for counting the automobile post-market performance is based on a multi-dimensional self-defined rule for counting, and the method is mainly used for planning the performance data and the performance indexes, then calculating through the planned performance, flexibly configuring the performance plan and automatically generating the performance.
Description
Technical Field
The invention relates to the field of automobile after-market supply chains, in particular to a method and a system for counting automobile after-market performance based on a multi-dimensional custom rule.
Background
The conventional method for counting the performance of the staff in the after-market of the automobile is relatively original, many maintenance shops do not know how to scientifically calculate, the calculation method is single, most of the calculation is carried out according to the service times, the sales ratio and the like, and the enthusiasm and the satisfaction degree of the staff are difficult to effectively achieve, so that the business target of the maintenance shops is realized; meanwhile, the statistical performance of stores is mainly achieved manually, the statistical accuracy is difficult to guarantee, the statistical efficiency is low, and time and labor are consumed; staff cannot visually check the performance of the staff.
Disclosure of Invention
The purpose of the invention is as follows: aiming at the defects in the prior art, the method and the system for counting the automobile after-market performance based on the multi-dimensional custom rule are provided.
The technical scheme is as follows: in order to achieve the purpose of the invention, the technical scheme adopted by the invention is as follows: the method for counting the automobile after-market performance based on the multi-dimensional custom rule comprises the following steps:
1) the system comprises a performance rule making module, a system cloud platform, a performance template module and a data processing module, wherein the performance rule making module is used for making different performance rules according to the personnel required to be equipped for the after-market service of the automobile and the content of the required service, and the different performance rules are summarized into different performance template modules to be stored in the system cloud platform;
2) collecting personnel of each affiliated store in the local company platform, various types of services equipped by the personnel and the services and service prices through a data collection module; performing appointed pairing according to personnel and services equipped by each store, downloading an appointed performance template module from a system cloud platform by a local company platform, and distributing the performance template to each applicable store;
3) and (4) generating performance rules of stores, after the stores generate business data, correspondingly calculating the performance according to the performance plans generated by each store, and correspondingly displaying the calculated performance by the performance display module.
Furthermore, the performance rule making module makes rules according to four aspects of data source information, performance post personnel, performance indexes, drawing rules and target rules.
Further, the performance personnel include store managers, store service consultants, store technicians, and hostess; the performance indexes are planned from screening conditions, a statistical range and a distribution mode through data sources; the lifting plan is correspondingly planned through lifting dimensions and a lifting mode; and the target planning is correspondingly planned by setting a target value of the post related performance index and a target achievement rate.
Further, the data source comprises work order sales information and card information, and the work order sales information comprises financial business adjustment orders, car washing orders, retail orders, claim settlement orders and goods return orders; the card information comprises card pin selling details and card using details, the card pin selling details comprise a card opening list, a charging list and a card returning list, and the card using details comprise a work order money receiving and using card, a card opening and receiving use stored value card and a card independent consumption list.
Further, the screening conditions include project gross profit, project real-time income, project working hours, material gross profit, material quantity, service evaluation, card selling amount and card selling quantity, work order type, work order business classification, project name, material business classification, material name, card type and card name.
Further, the extraction rule comprises two aspects of extraction dimension and extraction mode, wherein the extraction dimension is distinguished from a single item type, a business classification, a material classification, a card type and a card name; the extraction method is divided into two methods of fixed extraction and proportional extraction.
Further, the performance template module within the system cloud platform may define whether different local corporate platforms are visible or invisible accordingly.
Has the advantages that: compared with the prior art, the invention has the following advantages:
(1) the method for counting the automobile post-market performance is based on a multi-dimensional self-defined rule for counting, and the method is mainly characterized in that performance data and performance indexes are planned, and then calculation is carried out through planned performance, so that performance planning is flexibly configured, and performance is automatically generated; on one hand, the data information source is comprehensive, data analysis is carried out according to work order sales information and card information, the card information comprises various details of the consumption card, and the data is comprehensive and accurate; the performance index planning is planned from store types, personnel configuration and screening conditions, stores of subordinate local companies need personnel configuration meeting performance requirements, the screening conditions cover a wide range and comprise project gross profit, project working hours, material gross profit, material quantity, material classification and card information classification, and an all-around and multi-dimensional classification planning mode is realized; the target planning is completed through the target value and the target achievement rate, so that the automobile post-market performance statistical method of the multi-dimensional self-defined planning is realized;
(2) firstly, counting the personnel required to be equipped in the after-market service of the automobile and the required service, and setting different performance rules by a performance rule setting module according to the personnel required to be equipped in the after-market service of the automobile and the content of the required service, and summarizing the different performance rules into different performance template modules to be stored in a system cloud platform; collecting personnel of each subordinate franchise store in the local company platform, various types of equipped services and service prices through a data collection module; the local company platform downloads a designated performance template module from the system cloud platform, distributes the performance template to each applicable store to generate performance rules of the store, and after the store generates business data, the performance calculation module correspondingly performs performance calculation according to performance plans generated by the distribution of each store, and the performance display module correspondingly displays the calculated performance; after the setting, the performance planning type of the subordinate store can be rapidly judged through the comparison information, so that the planned performance template can be rapidly distributed, and the working efficiency of the invention can be effectively improved.
Drawings
FIG. 1 is a schematic block diagram of the present invention;
fig. 2 is a performance rule layout diagram of the present invention.
Detailed Description
The present invention will be further illustrated with reference to the accompanying drawings and specific examples, which are carried out on the premise of the technical solution of the present invention, and it should be understood that these examples are only for illustrating the present invention and are not intended to limit the scope of the present invention.
As shown in fig. 1 and fig. 2, the method for counting the post-automobile market performance based on the multi-dimensional customized rule includes the following steps:
1) the system comprises a performance rule making module, a system cloud platform, a performance template module and a data processing module, wherein the performance rule making module is used for making different performance rules according to the personnel required to be equipped for the after-market service of the automobile and the content of the required service, and the different performance rules are summarized into different performance template modules to be stored in the system cloud platform;
2) collecting personnel of each affiliated store in the local company platform, various types of services equipped by the personnel and the services and service prices through a data collection module; performing appointed pairing according to personnel and services equipped by each store, downloading an appointed performance template module from a system cloud platform by a local company platform, and distributing the performance template to each applicable store;
3) and (4) generating performance rules of stores, after the stores generate business data, correspondingly calculating the performance according to the performance plans generated by each store, and correspondingly displaying the calculated performance by the performance display module.
And the performance rule making module makes rules according to the data source information, performance post personnel, performance indexes, drawing rules and target rules.
Performance personnel include store managers, store service consultants, store technicians, and warehouse managers; the performance indexes are planned from screening conditions, a statistical range and a distribution mode through data sources; the lifting planning is correspondingly planned through lifting dimensions and a lifting mode; and the target planning is correspondingly planned by setting the target value of the post related performance index and the target achievement rate.
The data source comprises work order sales information and card information, wherein the work order sales information comprises a financial business adjustment sheet, a car washing sheet, a retail sheet, a claim settlement sheet and a goods return sheet; the card information comprises card pin selling details and card use details, the card pin selling details comprise an opening card sheet, a charging sheet and a card refunding sheet, and the card use details comprise a work order collection use card, an opening card collection use stored value card and a card independent consumption sheet.
The screening conditions include project gross profit, project real-time collection, project working hours, material gross profit, material quantity, service evaluation, card pin sale amount and card pin sale quantity, work order type, work order business classification, project name, material business classification, material name, card type and card name.
The extraction rule comprises two aspects of extraction dimension and extraction mode, wherein the extraction dimension is respectively distinguished from a single item type, a business classification, a material classification, a card type and a card name; the extraction method is divided into two methods of fixed extraction and proportional extraction.
The performance template module in the system cloud platform can correspondingly limit the visibility or invisibility of different local company platforms.
Example 1
In this embodiment, the performance template is as follows:
1) the SA service advisor calculates the card type of the conditional card as a stored value card according to the fixed drawing of the card selling quantity multiplied by the fixed drawing of 100 yuan;
2) the SA service consultant calculates according to the real income of the project and the proportion by extracting 2% when the conditional service type is maintenance;
3) the technician calculates the type of conditional service, repair, by the real-time rate of the project multiplied by the percentage of 2%.
The performance is calculated as follows:
when SA sells three, 2 stored value cards with 1000 cards, the performance is generated as follows:
1. conforming to a first achievement rule post SA; the performance of Zhang III is 2 (quantity) x100 (fixed extract) which is 200 yuan (card type is a stored value card);
2. when the vehicle owner arrives at the store for repairing the vehicle, the maintenance project generates 2000 yuan of maintenance cost, the attributive SA is Zhang III, the technician is Li IV, and the performance is generated as follows:
1) meeting the second performance rule position SA, condition (service type is maintenance), performance of zhang san is 1000 (project real income) x 2% (ratio is 2%) is 20 yuan;
2) a station technician meeting the second performance rules, condition (type of business ═ repair), lie four performed 1000 (project actual) x 2% (rated 2%) 20 dollars.
Therefore, the method of the invention can be used for conveniently counting the performance improvement of business personnel, and is very visual and clear.
The method for counting the automobile post-market performance is based on a multi-dimensional self-defined rule for counting, and the method is mainly characterized in that performance data and performance indexes are planned, and then calculation is carried out through planned performance, so that performance planning is flexibly configured, and performance is automatically generated; on one hand, the data information source is comprehensive, data analysis is carried out according to work order sales information and card information, the card information comprises various details of the consumption card, and the data is comprehensive and accurate; the performance index planning is planned from store types, personnel configuration and screening conditions, stores of subordinate local companies need personnel configuration meeting performance requirements, the screening conditions cover a wide range and comprise project gross profit, project working hours, material gross profit, material quantity, material classification and card information classification, and an all-around and multi-dimensional classification planning mode is realized; and the target planning is completed through the target value and the target achievement rate, so that the automobile post-market performance statistical method of the multi-dimensional self-defined planning is realized.
Firstly, counting the personnel required to be equipped in the after-market service of the automobile and the required service, and setting different performance rules by a performance rule setting module according to the personnel required to be equipped in the after-market service of the automobile and the content of the required service, and summarizing the different performance rules into different performance template modules to be stored in a system cloud platform; collecting personnel of each subordinate franchise store in the local company platform, various types of equipped services and service prices through a data collection module; the local company platform downloads a designated performance template module from the system cloud platform, distributes the performance template to each applicable store to generate performance rules of the store, and after the store generates business data, the performance calculation module correspondingly performs performance calculation according to performance plans generated by the distribution of each store, and the performance display module correspondingly displays the calculated performance; after the setting, the performance planning type of the subordinate store can be rapidly judged through the comparison information, so that the planned performance template can be rapidly distributed, and the working efficiency of the invention can be effectively improved.
The detailed description is to be construed as exemplary only and is not intended to limit the invention from practice or the scope of the appended claims, which are intended to include all equivalent variations and modifications within the scope of the invention as claimed.
Claims (7)
1. The method for counting the automobile after-market performance based on the multidimensional self-defined rule is characterized by comprising the following steps: the method comprises the following steps:
1) the system comprises a performance rule making module, a system cloud platform, a performance template module and a data processing module, wherein the performance rule making module is used for making different performance rules according to the personnel required to be equipped for the after-market service of the automobile and the content of the required service, and the different performance rules are summarized into different performance template modules to be stored in the system cloud platform;
2) collecting personnel of each affiliated store in the local company platform, various types of services equipped by the personnel and the services and service prices through a data collection module; performing appointed pairing according to personnel and services equipped by each store, downloading an appointed performance template module from a system cloud platform by a local company platform, and distributing the performance template to each applicable store;
3) and (4) generating performance rules of stores, after the stores generate business data, correspondingly calculating the performance according to the performance plans generated by each store, and correspondingly displaying the calculated performance by the performance display module.
2. The method for counting the post-automobile market performance based on the multi-dimensional custom rule according to claim 1 is characterized in that: and the performance rule making module makes rules according to four aspects of data source information, performance post personnel, performance indexes, drawing rules and target rules.
3. The method for counting the post-automobile market performance based on the multi-dimensional custom rule as claimed in claim 2 is characterized in that: the performance personnel comprise store managers, store service consultants, store technicians and warehouse managers; the performance indexes are planned from screening conditions, a statistical range and a distribution mode through data sources; the lifting plan is correspondingly planned through lifting dimensions and a lifting mode; and the target planning is correspondingly planned by setting a target value of the post related performance index and a target achievement rate.
4. The method for counting the post-automobile market performance based on the multi-dimensional custom rule as claimed in claim 3 is characterized in that: the data source comprises work order sales information and card information, and the work order sales information comprises a financial business adjustment sheet, a car washing sheet, a retail sheet, a claim settlement sheet and a goods return sheet; the card information comprises card pin selling details and card using details, the card pin selling details comprise a card opening list, a charging list and a card returning list, and the card using details comprise a work order money receiving and using card, a card opening and receiving use stored value card and a card independent consumption list.
5. The method for counting the post-automobile market performance based on the multi-dimensional custom rule as claimed in claim 3 is characterized in that: the screening conditions comprise project gross profit, project real-time collection, project working hours, material gross profit, material quantity, service evaluation, bayonet lock selling amount and bayonet lock selling quantity, work order type, work order business classification, project name, material business classification, material name, card type and card name.
6. The method for counting the post-automobile market performance based on the multi-dimensional custom rule as claimed in claim 3 is characterized in that: the extraction rule comprises two aspects of extraction dimension and extraction mode, wherein the extraction dimension is respectively distinguished from a single item type, a business classification, a material classification, a card type and a card name; the extraction method is divided into two methods of fixed extraction and proportional extraction.
7. The method for counting the post-automobile market performance based on the multi-dimensional custom rule according to claim 1 is characterized in that: the performance template module in the system cloud platform can correspondingly limit the visibility or invisibility of different local company platforms.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113947390A (en) * | 2021-12-20 | 2022-01-18 | 佛山众陶联供应链服务有限公司 | Proportion distribution method and proportion distribution system for money achievement |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113947390A (en) * | 2021-12-20 | 2022-01-18 | 佛山众陶联供应链服务有限公司 | Proportion distribution method and proportion distribution system for money achievement |
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