CN115829611A - Performance management method and system based on data processing - Google Patents
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Abstract
The invention relates to the technical field of performance management, and particularly discloses a performance management method and system based on data processing, wherein the method comprises the following steps: s1, acquiring regional state information of the positions of stores; s2, acquiring historical sales information of each store, inputting the historical sales information of the stores and the regional state information of the positions of the stores into a prediction model, and acquiring predicted performance data of each store; s3, comparing the actual performance information of each store with the corresponding predicted performance data, and evaluating the sales condition of the stores according to the comparison result; the regional state information comprises real-time people flow information outside the store, and the people flow information is obtained based on a camera device arranged outside the store; according to the method, the accuracy of performance index judgment can be improved by acquiring the regional state information of the place where the store is located and combining the regional state information and the analysis; through the comparison of the predicted performance data and the actual performance, the management of each store is facilitated.
Description
Technical Field
The invention relates to the technical field of performance management, and particularly discloses a performance management method and system based on data processing.
Background
For a chain-type group with a plurality of stores, supervision of performance of each store, risk decision and personnel capacity need to be managed uniformly, and with the development of computer technology, more and more data statistical analysis processes are mainly completed through a computer.
In the prior art, the statistical management process of performance data of multiple stores is mainly completed by collecting sales information of branch stores in real time, analyzing the overall performance and combining the comparison mode of the targets formulated by each branch store in advance; the analysis process mainly combines the historical data of stores, profit margins, sales performance of each person and the like to judge, further finds out the problem points of each store, and further adopts improved measures in time.
Compared with an internet sales mode, in the process of sales by adopting a store mode, the obtained sales data is relatively single, mainly sales volume data, and the single data cannot accurately assist managers to develop potential problems existing in various stores in the process of overall analysis; secondly, each store usually makes performance targets based on single historical data and subjective factors when making the performance targets, and obviously, the made targets are lack of scientificity, and further, the unified management process of the stores is influenced.
Disclosure of Invention
The invention aims to provide a performance management method and a system based on data processing, which solve the following technical problems:
how to improve the accuracy and the scientificity of judging potential problems of store sales.
The purpose of the invention can be realized by the following technical scheme:
a method of performance management based on data processing, the method comprising:
s1, acquiring regional state information of the positions of stores;
s2, acquiring historical sales information of each store, inputting the historical sales information of the stores and the regional state information of the positions of the stores into a prediction model, and acquiring predicted performance data of each store;
s3, comparing the actual performance information of each store with the corresponding predicted performance data, and evaluating the sales condition of the stores according to the comparison result;
the regional state information comprises real-time people flow information outside the store, and the people flow information is obtained based on a camera device arranged outside the store.
Further, the establishing process of the prediction model is as follows:
by the formula
Acquiring a predicted sales amount of a store;
wherein T (T) is a time-varying curve of the historical sales of the store; t is t 1 、t 2 Respectively as a starting time point and an ending time point of a preset time period; delta is an environmental factor influence function; k (t) is an influence factor;
the process of acquiring the influence factors comprises the following steps:
by the formula
Calculating an influence factor K (t);
wherein Rg is a position coefficient corresponding to a store; q h (t) the pedestrian volume at the time point t; delta Q h Is a human flow reference value; q i (t) the number of store entrances at the time point t; pf (t) is profit margin at time t; Δ pf is the reference profit margin; gamma ray 1 、γ 2 And gamma 3 To adjust the coefficient, and gamma 1 +γ 2 +γ 3 ＝1。
Further, the process of evaluating the shop sales status is as follows:
will actually sell the amount T fact And predicting sales T pre And (3) carrying out comparison:
if T is fact ＞T fact －T pt Judging that the sales volume of stores meets the requirements;
otherwise, judging that the sales volume of the store does not reach the standard;
wherein, T pt Is a deviation threshold.
Further, the method further comprises:
and S4, collecting the state information of the customer in the store, wherein the state information comprises image information, analyzing the state information of the customer in the store, and evaluating the service quality of the store according to the analysis result.
Further, the process of evaluating the store service quality comprises the following steps:
acquiring facial image information of a customer in the image information, and identifying the facial image information to obtain label information;
by the formula
Calculating a store service evaluation value Ev;
evaluating the service of the store according to the evaluation value Ev;
wherein, t x Duration of the first expression; t is t y The duration of the second expression; t is t x A third story duration; Δ t total time for all customers to acquire images;
average store hours for consuming customers; t is t th Is a store-in-time reference value; sigma 1 、σ 2 、σ 3 Is an influence weight coefficient; tau is 1 、τ 2 Is a preset coefficient.
Further, the variation conditions of the influence factors of all stores are analyzed, and an improvement strategy is obtained according to the analysis result.
Further, the process of obtaining the improvement strategy is as follows:
by the formula
Obtaining the influence factor deviation rate B of the Xth store K (X)；
By the formula
Calculating the deviation s;
deviation from a predetermined value s th And (3) carrying out comparison:
if s is less than or equal to s th If yes, judging that the store performance deviation is an integrity problem;
otherwise, performing field analysis on stores with smaller K (X);
wherein the content of the first and second substances,
is the average value of the historical influence factors of the Xth shop.
A performance management system based on data processing, the system comprising:
the data acquisition module is used for acquiring the regional state information of the region where each store is located;
the prediction model is used for acquiring the predicted performance data of each store according to the historical sales information of the stores and the regional state information of the positions of the stores;
and the comparison evaluation module is used for comparing the actual performance information of each store with the corresponding predicted performance data and evaluating the sales condition of the stores according to the comparison result. The invention has the beneficial effects that:
(1) According to the invention, the accuracy of performance index judgment can be improved by acquiring the flow information of people outside the store and combining and analyzing the flow information of people entering the store; meanwhile, performance data of each store are predicted by combining historical sales information of the stores and regional state information of the positions of the stores, and the predicted performance data and actual performance are compared, so that more scientific and accurate reference data can be provided for each store, and management of each store is facilitated.
(2) According to the invention, the state information of the customer in the store is collected, and the service quality of the store is judged through the analysis of the state information, so that the truth and accuracy of the judgment can be improved by the passive evaluation mode.
(3) According to the invention, through analyzing the variation conditions of the influence factors of all stores, the influence of sales performance of different stores can be eliminated, so that the single and integral operation conditions of the stores can be accurately judged, and corresponding improvement strategies are adopted according to the judgment results, so that risks existing in the operation process of the stores can be timely processed.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a flow chart of the steps of a data processing based performance management method of the present invention;
fig. 2 is a schematic block diagram of a data processing based performance management system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, in one embodiment, a method for performance management based on data processing is provided, the method comprising:
s1, obtaining regional state information of the positions of stores;
s2, obtaining historical sales information of each store, inputting the historical sales information of the stores and the regional state information of the positions of the stores into a prediction model, and obtaining predicted performance data of each store;
s3, comparing the actual performance information of each store with the corresponding predicted performance data, and evaluating the sales condition of the stores according to the comparison result;
the regional state information comprises real-time people flow information outside the store, and the people flow information is obtained based on a camera device arranged outside the store.
Through the technical scheme, the conventional sales information of the store is obtained, meanwhile, the regional state information of the position of the store is obtained and analyzed in a combined manner, specifically, the flow information of people outside the store is obtained, and the accuracy of performance index judgment can be improved through the combined analysis of the flow information of people entering the store; meanwhile, when determining the target performance of each store, the embodiment predicts the performance data of each store by combining the historical sales information of the store and the regional state information of the position, and compares the predicted performance data with the actual performance, so that more scientific and accurate reference data can be provided for each store, and further the management of each store is facilitated.
As an embodiment of the present invention, the process of establishing the prediction model is as follows:
by the formula
Acquiring a predicted sales amount of a store;
wherein T (T) is a time-varying curve of the historical sales of the store; t is t 1 、t 2 Respectively as a starting time point and an ending time point of a preset time period; delta is an environmental factor influence function; k (t) is an influence factor;
the process of acquiring the influence factors comprises the following steps:
by the formula
Calculating an influence factor K (t);
wherein Rg is a position coefficient corresponding to a store; q h (t) the pedestrian volume at the time point t; delta Q h Is a human flow reference value; q i (t) the number of store entrances at the time point t; pf (t) is profit margin at time t; Δ pf is the reference profit margin; gamma ray 1 、γ 2 And gamma 3 To adjust the coefficient, and gamma 1 +γ 2 +γ 3 ＝1。
Through the technical scheme, the embodiment provides a method for establishing a prediction model, and specifically, firstly, a formula is used
Calculating an influence factor of the environment of the store on the performance of the store, wherein Rg is a position coefficient corresponding to the store and is preset according to the position and the state of the store; through out-of-storeThe traffic data, the store entrance rate and the profit margin of sales are comprehensively analyzed, wherein the larger the traffic data is, the higher the store entrance rate is and the lower the profit margin is, the better the performance is expected to be, so that the influence of the environment of the store on the store performance can be judged by the formula K (t).
Bringing the influence factor into the formula
In the method, the sales performance is predicted by combining the historical sales data of the corresponding store, and the predicted sales amount T can be obtained pre (t)。
It should be noted that the adjustment coefficient γ in the above-mentioned technical solution 1 、γ 2 And gamma 3 Selectively setting according to the influence degrees of different factors; the environmental factor influence function δ in the above scheme is preset, and different coefficients are set according to the affiliate interval where the influence factor is located, and the specific process is not described in detail.
In one embodiment of the present invention, the process of evaluating the store sales status comprises:
will actually sell the amount T fact And predicting sales T pre And (3) carrying out comparison:
if T fact ＞T fact －T pt Judging that the sales volume of stores meets the requirements;
otherwise, judging that the sales volume of the store does not reach the standard;
wherein, T pt Is a deviation threshold.
Through the technical scheme, the embodiment provides the method for evaluating the sales condition, and the actual sales T is obtained fact And predicting sales T pre Comparison is carried out, T fact ＞T fact －T pt When the sales volume meets the requirement, the sales volume of the store is judged to meet the requirement; otherwise, judging that the sales volume does not reach the standard.
Note that T is pt Is a deviation threshold value based on the predicted sales amount T pre And setting the judgment error.
As an embodiment of the present invention, the method further includes:
and S4, collecting the state information of the customer in the store, wherein the state information comprises image information, analyzing the state information of the customer in the store, and evaluating the service quality of the store according to the analysis result.
Through the technical scheme, the state information of the customer in the store is collected, the service quality of the store is judged through the analysis of the state information, and the judgment accuracy can be improved through the passive evaluation mode.
As an embodiment of the present invention, the process of evaluating the service quality of the store comprises:
acquiring facial image information of a customer in the image information, and identifying the facial image information to obtain label information;
by the formula
Calculating a store service evaluation value Ev;
evaluating the service of the store according to the evaluation value Ev;
wherein, t x A first expression duration; t is t y The duration of the second expression; t is t z A third story duration; Δ t total time for all customers to acquire images;
average store hours for consuming customers; t is t th Is a store-in-time reference value; sigma 1 、σ 2 、σ 3 Is an influence weight coefficient; tau. 1 、τ 2 Is a preset coefficient.
Through the technical scheme, the embodiment adopts the formula
Calculating a store service evaluation value Ev, wherein t x The duration of the smile expression is set; t is t y Duration of non-emotional expression; t is t z The facial image information is identified and obtained for the duration of the angry expression and the acquisition basis of the durations of different expression states, and the specific identification process can be realized based on the common AI technology in the prior art and is not detailed here; in addition, the embodiment also performs comprehensive analysis and judgment by combining the transaction efficiency factor of the transaction customer, and further performs comprehensive judgment on the service attitude and the service efficiency of the store through the store service evaluation value Ev, namely timely training or adjusting the memorability of the related personnel of the store when the evaluation value Ev is low, so as to ensure the service effect of each store.
In the above-described embodiment, the influence weight coefficient σ 1 、σ 2 、σ 3 Setting according to the specific meanings of the first expression, the second expression and the third expression, for example, when the expression is an open expression, the influence weight coefficient is greater than zero, and when the expression is an unopened expression, the influence weight coefficient is less than zero; the specific size selection is set according to empirical data selection; in addition, the preset coefficient tau in the technical scheme 1 、τ 2 The size of the store is selectively set according to the type of operation of the store, and is not limited herein.
In one embodiment of the invention, the variation condition of the influence factors of all stores is analyzed, and an improvement strategy is obtained according to the analysis result.
The performance conditions of different stores are obviously different, and in the process of performing overall analysis on all stores, the non-uniformity of the performance standards leads to the failure of accurately interpreting the overall state trend of all stores; according to the technical scheme, the change conditions of the influence factors of all stores are analyzed, the improvement strategy is obtained according to the analysis result, the influence of sales performance of different stores can be eliminated by analyzing the change conditions of the influence factors of all stores, the single and integral operation conditions of the stores are accurately judged, the corresponding improvement strategy is adopted according to the judgment result, and the risks existing in the operation process of the stores can be timely processed.
As an embodiment of the present invention, the process of obtaining the improvement policy is:
by the formula
Obtaining the influence factor deviation rate B of the Xth store K (X)；
By the formula
Calculating the deviation s;
deviation from a predetermined value s th And (3) carrying out comparison:
if s is less than or equal to s th Judging whether the performance deviation of the store is the integral problem;
otherwise, performing field analysis on stores with smaller K (X);
wherein the content of the first and second substances,
is the average of the historical influence factors of the Xth store.
Through the above technical solution, the present embodiment provides a process for obtaining an improved policy, specifically, through a formula
Obtaining the influence factor deviation rate B of the Xth store K (X), influence factor deviation ratio B K (X) can reflect the risk condition of single store operation, and the risk condition is represented by a formula
Calculating the deviation s to further realize the analysis of the overall conditions of all stores, obviously, the smaller the deviation s is, the more uniform the trend of representing the operation risk changes of all stores is, and further, the store risk changes are due to the influence of the overall conditions, but not due to the influence of the individual storesStore operational problems; further judging whether the performance deviation of the store is an integrity problem; and when s > s th And then, the risk conditions of different stores are obviously different, and then the stores with smaller K (X) are analyzed on the spot to judge the problems of the stores, and then corresponding solutions are taken in time, so that the operation conditions of all stores are improved.
Referring to fig. 2, in one embodiment, a data processing based performance management system is provided, the system comprising:
the data acquisition module is used for acquiring the regional state information of the region where each store is located;
the prediction model is used for acquiring the predicted performance data of each store according to the historical sales information of the stores and the regional state information of the positions of the stores;
and the comparison evaluation module is used for comparing the actual performance information of each store with the corresponding predicted performance data and evaluating the sales condition of the stores according to the comparison result.
According to the technical scheme, the regional state information of the region where each store is located is acquired through the data acquisition module, the predicted performance data of each store is acquired through the prediction model according to the historical sales information of the stores and the regional state information of the locations, and the predicted performance data of each store is acquired through the prediction model according to the historical sales information of the stores and the regional state information of the locations; the performance data of each store is predicted by combining the historical sales information of the stores and the regional state information of the positions, and the predicted performance data and the actual performance are compared, so that more scientific and accurate reference data can be provided for each store, and further the management of each store is facilitated.
While one embodiment of the present invention has been described in detail, the description is only a preferred embodiment of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.
Claims (8)
1. A method for performance management based on data processing, the method comprising:
s1, acquiring regional state information of the positions of stores;
s2, acquiring historical sales information of each store, inputting the historical sales information of the stores and the regional state information of the positions of the stores into a prediction model, and acquiring predicted performance data of each store;
s3, comparing the actual performance information of each store with the corresponding predicted performance data, and evaluating the sales condition of the stores according to the comparison result;
the regional state information comprises real-time people flow information outside the store, and the people flow information is obtained based on a camera device arranged outside the store.
2. The data processing-based performance management method of claim 1, wherein the predictive model is established by:
by the formula
Acquiring a predicted sales amount of a store;
wherein T (T) is a time-varying curve of the historical sales of the store; t is t 1 、t 2 Respectively as the starting time point and the ending time point of a preset time interval; delta is an environmental factor influence function; k (t) is an influence factor;
the process of acquiring the influence factors comprises the following steps:
by the formula
Calculating an influence factor K (t);
wherein Rg is a position coefficient corresponding to a store; q h (t) the pedestrian volume at time point t; delta Q h Is a human flow reference value; q i (t) the number of store entrances at the time point t; pf (t) is profit margin at time t; Δ pf is the reference profit margin; gamma ray 1 、γ 2 And gamma 3 To adjust the coefficient, and gamma 1 +γ 2 +γ 3 ＝1。
3. The data processing-based performance management method of claim 2, wherein the evaluation of the shop sales condition comprises:
will actually sell the amount T fact And predicting sales T pre And (3) carrying out comparison:
if T fact ＞T fact -T pt Judging that the sales volume of stores meets the requirements;
otherwise, judging that the sales volume of the store does not reach the standard;
wherein, T pt Is a deviation threshold.
4. The data processing-based performance management method of claim 1, further comprising:
and S4, collecting the state information of the customer in the store, wherein the state information comprises image information, analyzing the state information of the customer in the store, and evaluating the service quality of the store according to the analysis result.
5. The data processing-based performance management method of claim 4, wherein the process of evaluating the store service quality comprises:
acquiring facial image information of a customer in the image information, and identifying the facial image information to obtain label information;
by the formula
Calculating a store service evaluation value Ev;
evaluating the service of the store according to the evaluation value Ev;
wherein, t x A first expression duration; t is t y Duration of the second expression; t is t z A third story duration; Δ t total time for all customers to acquire images;
average store hours for consuming customers; t is t th Is a store-in-time reference value; sigma 1 、σ 2 、σ 3 Is an influence weight coefficient; tau is 1 、τ 2 Is a preset coefficient.
6. The data processing-based performance management method of claim 4, wherein the variation of the influence factors of all stores is analyzed, and the improvement strategy is obtained according to the analysis result.
7. The data processing-based performance management method of claim 6, wherein the improvement strategy is obtained by:
by the formula
Obtaining the influence factor deviation rate B of the Xth store K (X)；
By the formula
Calculating the deviation s;
deviation from a predetermined value s th And (3) carrying out comparison:
if s is less than or equal to s th Judging whether the performance deviation of the store is the integral problem;
otherwise, performing field analysis on stores with smaller K (X);
wherein the content of the first and second substances,
is the average value of the historical influence factors of the Xth shop.
8. A performance management system based on data processing, the system comprising:
the data acquisition module is used for acquiring the regional state information of the region where each store is located;
the prediction model is used for acquiring the predicted performance data of each store according to the historical sales information of the stores and the regional state information of the positions of the stores;
and the comparison evaluation module is used for comparing the actual performance information of each store with the corresponding predicted performance data and evaluating the sales condition of the stores according to the comparison result.
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