CN111062594A - Assessment method and device for provider operation capacity and electronic equipment - Google Patents
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Abstract
The embodiment of the specification discloses a method, a device and electronic equipment for evaluating the operation capacity of a supplier, wherein the evaluation scheme mainly comprises the following steps: acquiring sales data of a target store within a preset historical sales period; calculating a multi-dimensional marketing index of each supplier in the target store based on the sales data, wherein each multi-dimensional marketing index is used for evaluating the operation capacity of the supplier; and encrypting the multidimensional marketing index of each supplier in the target store to obtain the multidimensional encrypted marketing index. Therefore, the multi-dimensional marketing index and the multi-dimensional encryption marketing index of the supplier are provided for the retail stores from multiple dimensions, and the evaluation effectiveness is improved.
Description
Technical Field
The present disclosure relates to the field of computer software technologies, and in particular, to a method and an apparatus for evaluating provider operation capability, and an electronic device.
Background
Currently, considering that there may be a plurality of suppliers in a retail store to jointly supply and sell products, within the same retail store, the marketing operation capacity of different suppliers can be evaluated so as to know the sales profile and the operation difference between different suppliers in time.
However, in the existing operation capability evaluation method, the marketing index is single, and the evaluation result is limited in consideration of data sensitivity. This results in a less effective assessment of the operator capabilities of the provider.
Disclosure of Invention
An object of the embodiments of the present specification is to provide a method and an apparatus for evaluating a provider operation capability, and an electronic device, so as to improve effectiveness of evaluation of the provider operation capability.
In order to solve the above technical problem, the embodiments of the present specification are implemented as follows:
in a first aspect, a method for evaluating provider operation capability is provided, including:
acquiring sales data of a target store within a preset historical sales period;
calculating a multi-dimensional marketing index of each supplier in the target store based on the sales data, wherein each multi-dimensional marketing index is used for evaluating the operation capacity of the supplier;
and encrypting the multidimensional marketing index of each supplier in the target store to obtain the multidimensional encrypted marketing index.
In a second aspect, an apparatus for evaluating provider operation capability is provided, including:
the acquisition module is used for acquiring sales data of a target store in a preset historical sales period;
a calculation module, configured to calculate a multidimensional marketing index for each provider in the target store based on the sales data, where each multidimensional marketing index is used to evaluate an operation capability of the provider;
and the encryption module is used for encrypting the multidimensional marketing index of each supplier in the target store to obtain the multidimensional encryption marketing index.
In a third aspect, an electronic device is provided, including:
a processor; and
a memory arranged to store computer executable instructions that, when executed, cause the processor to:
acquiring sales data of a target store within a preset historical sales period;
calculating a multi-dimensional marketing index of each supplier in the target store based on the sales data, wherein each multi-dimensional marketing index is used for evaluating the operation capacity of the supplier;
and encrypting the multidimensional marketing index of each supplier in the target store to obtain the multidimensional encrypted marketing index.
In a fourth aspect, a computer-readable storage medium is presented, the computer-readable storage medium storing one or more programs that, when executed by an electronic device that includes a plurality of application programs, cause the electronic device to:
acquiring sales data of a target store within a preset historical sales period;
calculating a multi-dimensional marketing index of each supplier in the target store based on the sales data, wherein each multi-dimensional marketing index is used for evaluating the operation capacity of the supplier;
and encrypting the multidimensional marketing index of each supplier in the target store to obtain the multidimensional encrypted marketing index.
According to the technical scheme provided by the embodiment of the specification, the sales data of the target store in the preset historical sales period are acquired; calculating a multi-dimensional marketing index of each supplier in the target store based on the sales data, wherein each multi-dimensional marketing index is used for evaluating the operation capacity of the supplier; and encrypting the multidimensional marketing index of each supplier in the target store to obtain the multidimensional encrypted marketing index. Therefore, the multi-dimensional marketing indexes of the suppliers are provided for the retail stores from multiple dimensions, the encrypted marketing indexes can be directly provided for the suppliers, benign competition among the suppliers is promoted, and the evaluation effectiveness is improved.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort.
Fig. 1 is a schematic diagram of steps of a method for evaluating provider operation capability according to an embodiment of the present disclosure.
Fig. 2 is a schematic structural diagram of an evaluation apparatus for vendor operation capability provided in an embodiment of the present specification.
Fig. 3 is a schematic structural diagram of an electronic device provided in an embodiment of the present specification.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the present specification, and not all of the embodiments. All other embodiments obtained by a person skilled in the art based on the embodiments in the present specification without any inventive step should fall within the scope of protection of the present specification.
Example one
Referring to fig. 1, for the method for evaluating the operation capability of a provider provided in the embodiment of the present specification, it should be understood that an execution subject of the evaluation method may be a backend management server of a sales store, and an evaluation object may be all providers that perform commodity sales in the sales store; the evaluation method may include the steps of:
step 101: and acquiring sales data of the target store in a preset historical sales period.
The target store may refer to a plurality of retail stores, also referred to as retail stores. These retail stores may provide sales operations for multiple sales categories for multiple suppliers simultaneously.
In this specification, sales data of a plurality of suppliers in a target store within a preset historical sales period may be obtained from a sales database, where the sales data may include: sales amount, sales date, bill number, membership or not, and the like.
The preset historical selling period can be a selling period of the past week, a selling period of the past month or a selling period from a certain starting date to a certain ending date. This specification does not specifically limit this.
The sales database may be a database for storing various types of sales-related data of various retail stores (including target stores) or target stores. For example, the sales Database referred to in the present specification may be an Enterprise Resource Planning (ERP) system, a Database Management System (DMS), or other Database systems.
Step 102: and calculating a multi-dimensional marketing index of each supplier in the target store based on the sales data, wherein each multi-dimensional marketing index is used for evaluating the operation capacity of the supplier.
In view of the data information of sales amount, sales date, bill number, membership and the like in the sales data, the multidimensional marketing index of each supplier can be determined through different marketing indexes, wherein each multidimensional marketing index is used for evaluating the operation capacity of the supplier.
In the embodiment of the present specification, the sales data carries the owned attributes of each supplier in the target store; in this way, when calculating the multi-dimensional marketing index of each supplier in the target store based on the sales data, the following dimensions of marketing indexes of each supplier can be respectively determined based on the sales data and the attributes owned by the suppliers: trade index, frequency index, customer order index, plateau effect index, liveness index, membership index, and high value membership index. The self-owned attributes comprise the business area of the supplier, the category of the sale and the like.
Wherein, the trading index refers to the sales amount of the supplier in a preset historical sales period, such as StransSpecifically, the sales amount in the preset historical sales period may be accumulated.
Frequency index, which refers to the number of orders sold by a supplier during a preset historical sales period, can be, for example, SfreqAnd (4) showing.
Customer-to-order index, which refers to the average customer unit price per order of a supplier during a preset historical sales period, can be, for example, Sper_transExpressed, the calculation formula is as follows:
Sper_trans＝Strans/Sfreq(3)
the plateau index refers to the sales amount created by the supplier in unit area in a preset historical sales period, such as SareaWherein area is the business area of the supplier, and the calculation formula is as follows:
Sarea＝Strans/area (4)
the liveness index refers to the number of days for which the supplier sells at least one order per day in a preset historical selling period, such as SactiveWhere n is the total number of days in the preset historical sales period, xdFor the vendor sales at day d, the formula is calculated as follows:
the member index is the contribution degree of the store members to the suppliers in a preset historical sale period, wherein SmConsumption amount for store member for the supplier within a preset historical sales period, Strans_tSales amount of the sales main class of the supplier in a preset historical sales period, Smember∈[0,1](ii) a The calculation formula is as follows:
in the embodiment of the present specification, when determining the high-value member index of the provider, the high-value member may be determined first. Wherein the high-value member of the target store can be determined by using a K-means algorithm according to a consumption element of the member in the sales data, wherein the consumption element comprises: last consumption, frequency of consumption, and amount of consumption. In other words, it is necessary to cluster high-value members by using the K-means algorithm based on the latest consumption, consumption frequency and consumption amount of the members in the sales data. In fact, the specification does not specifically limit the determination method of the high-value member, and other clustering algorithms besides the K-means algorithm may be adopted, which is not described herein again.
Further, a high-value member index is determined based on the determined high-value members, wherein the high-value member index is the contribution degree of the high-value members in the store to the suppliers in a preset historical sale period, and Sm、SnConsumption amount and number of consumers, S, for the store member for the supplier within a preset historical sales periodhm_m、Shm_nConsumption amount and number of consumers of the high-value members in the store for the supplier within a preset historical sale period, Shigh_member∈[0,1](ii) a The calculation formula is as follows:
Shigh_member＝(Shm_m×Shm_n)/(Sm×Sn) (7)
it should be understood that, when calculating the multi-dimensional marketing index of each provider in the target store based on the sales data, the composite index of each provider may also be determined based on the determined transaction index, frequency index, customer unit price index, plateau efficiency index, liveness index, membership index and high-value membership index of each provider, wherein the composite index is used for evaluating the multi-dimensional operation capacity of the provider.
Specifically, in determining the composite index for each supplier, the following formula may be employed:
wherein, the SsynIs a composite index, S, of any supplieriRepresents the ith index, S, of the 7 indexesi_t_maxAnd Si_t_minThe maximum value and the minimum value of the ith index of the sales main class of any supplier are respectively.
In a specific implementation, the 7 indexes may be sorted, for example, a trading index, a frequency index, a customer order index, a plateau index, an activity index, a membership index, and a high-value membership index, such that the 1 st index is a trading index, the 2 nd index is a frequency index, and so on, and the 7 th index is a high-value membership index.
It should be understood that in the embodiments of the present specification, the multidimensional marketing index refers to marketing indexes of multiple dimensions of the affiliated provider, and generally, the operation capability evaluation may be performed for the providers of the same category. The category can be sports apparel and articles, and specifically, the comparison and evaluation can be performed on suppliers of the category, such as Adedas, Nack, Lining and the like.
Therefore, the operation capacity of the supplier is evaluated from the plurality of marketing indexes, the marketing operation indexes of the supplier are enriched, the liveness index, the member index and the high-value member index for evaluating the liveness of the supplier and considering the contribution degree of the members and the high-value members to the supplier are innovatively provided, the marketing operation capacity of the supplier is comprehensively considered and evaluated, and therefore the accuracy and the effectiveness of the evaluation are improved.
Step 103: and encrypting the multidimensional marketing index of each supplier in the target store to obtain the multidimensional encrypted marketing index.
In the embodiment of the specification, in order to protect sales data from being leaked between various suppliers, multi-dimensional marketing indexes can be encrypted in consideration of sensitivity of the sales data. Specifically, the multidimensional marketing index of the supplier in the target store can be encrypted based on the quantile monotone algorithm to obtain the multidimensional encryption marketing index.
In particular, the following steps can be referred to for implementation:
the method comprises the first step of taking logarithm of an index array formed by any dimension marketing index of a supplier in the target store, and generating a logarithm array.
In order to avoid the influence caused by the long tail distribution of an array formed by a certain marketing index under a certain category in a retail store, the logarithm of each index in the array can be taken to form a logarithm array.
And secondly, calculating values of a plurality of quantiles corresponding to the logarithm array.
And thirdly, based on the calculated values of the quantiles, encrypting the marketing index corresponding to each element in the logarithmic array to obtain a multi-dimensional encryption marketing index.
Wherein, the encryption operation of the third step can be realized by the following formula:
wherein S istemp∈(Qi,Qi+1](i ═ 1,2,3,4,5), for array EtempEach sales index S intempEncrypting by using quantile increasing algorithm to obtain pseudo sales index Sindex_trans。
Taking marketing index as transaction index as an example, the transaction indexes of a plurality of suppliers in a sales storeThe numbers may form an index array, assuming trading index 1, trading index 2, trading index 3, … …, trading index 10. The trading indexes are sorted according to the sequence from small to large to obtain an index array Etrans[ trade index 1, trade index 10, trade index 7, trade index 4, trade index 9, trade index 8, trade index 2, trade index 3, trade index 5, trade index 6]. Then, taking logarithm of each transaction index in the index array
Form a logarithmic array EtempWherein S istempIs EtempOf (1). Then, a plurality of quantiles (E) corresponding to the logarithmic array are calculatedtempS) (s is 0,0.25,0.5,0.75,1), where s denotes the position of the quantile in the division, which quantile can be denoted as Qi(i ═ 2, 3.., 6). In general, to avoid the effect of quantile repetition on monotonicity, Q may be selected1＝Q2-0.1. After the quantile corresponding to the logarithmic array is calculated, a value may be taken based on the calculated quantile.
It should be understood that in the examples of this specification, quantile (E)tempS) (s ═ 0,0.25,0.5,0.75,1), minimum, lower quartile, median, upper quartile and maximum, respectively, where quantile (Etrans,0) is the minimum and quantile (Etrans,1) is the maximum. In the calculation, Q2 may be determined as quantile (E)trans0), Q1 is set to avoid repetition of the median, where 0.1 can be set manually.
It should be understood that in the embodiment of the present specification, a multidimensional marketing index and a multidimensional encryption marketing index can be obtained through the above evaluation mode. In this way, different data may be fed back to different queriers. For example, when the inquirer is a target store, the multidimensional marketing index of each supplier can be directly fed back to the target store without considering data sensitivity; alternatively, the multi-dimensional encrypted marketing index for each provider is fed back to the target store. When the inquirer is a supplier, the data sensitivity of other suppliers is considered, the multidimensional marketing index of the supplier is fed back to the supplier, and the multidimensional encryption marketing index of the other suppliers is fed back to the supplier.
In the scheme, the encryption algorithm is adopted to encrypt the multidimensional marketing index used for evaluating the operation capacity of the supplier, so that the real sales data are disguised and hidden. The encrypted multi-dimensional marketing index of the supplier has three properties: confidentiality of sales data, invariance of sales rankings, and hard-to-reverse of encryption algorithms. When the inquiry request of the supplier is faced, the real sales data of the supplier and the encrypted sales data of other suppliers can be selectively provided for the supplier according to the identification of the supplier, so that the suppliers in the same category can know the sales condition of the suppliers and the difference between the suppliers and other suppliers in real time, and a benign competitive environment of the suppliers in the same category is formed.
By the technical scheme, the sales data of the target store in the preset historical sales period are obtained; calculating a multi-dimensional marketing index of each supplier in the target store based on the sales data, wherein each multi-dimensional marketing index is used for evaluating the operation capacity of the supplier; and encrypting the multidimensional marketing index of each supplier in the target store to obtain the multidimensional encrypted marketing index. Therefore, the multi-dimensional marketing index and the multi-dimensional encryption marketing index of the supplier are provided for the retail stores from multiple dimensions, and the evaluation effectiveness is improved.
Example two
Fig. 2 is a schematic structural diagram of an evaluation apparatus 200 for vendor operation capability according to an embodiment of the present disclosure. Referring to fig. 2, in a software implementation, the apparatus 200 for evaluating the operation capability of a provider may include:
the acquisition module 201 is used for acquiring sales data of a target store within a preset historical sales period;
a calculating module 202, configured to calculate a multidimensional marketing index for each provider in the target store based on the sales data, where each multidimensional marketing index is used to evaluate the operation capacity of the provider;
and the encryption module 203 is configured to encrypt the multidimensional marketing index of each provider in the target store to obtain a multidimensional encrypted marketing index.
According to the technical scheme of the specification, sales data of a target store in a preset historical sales period are obtained; calculating a multi-dimensional marketing index of each supplier in the target store based on the sales data, wherein each multi-dimensional marketing index is used for evaluating the operation capacity of the supplier; and encrypting the multidimensional marketing index of each supplier in the target store to obtain the multidimensional encrypted marketing index. Therefore, the multi-dimensional marketing index and the multi-dimensional encryption marketing index of the supplier are provided for the retail stores from multiple dimensions, and the evaluation effectiveness is improved.
Optionally, as an embodiment, the sales data carries owned attributes of each supplier in the target store;
the calculating module 202, when calculating the multi-dimensional marketing index of each provider in the target store based on the sales data, is specifically configured to determine the marketing index of each provider in the following dimensions based on the sales data and its own attributes: trade index, frequency index, customer order index, plateau effect index, liveness index, membership index, and high value membership index.
In a specific implementation manner of the embodiment of the present specification, the calculating module 202, when determining the high-value member index of each supplier based on the sales data and the attributes thereof, may specifically be configured to: determining a high-value member of the target store by using a K-means algorithm based on a consumption element of the member in the sales data, wherein the consumption element comprises: last consumption, frequency of consumption, and amount of consumption; determining a high-value membership index for each provider based on the consumption amount and the number of consumers for each provider in the high-value membership.
In a specific implementation manner of the embodiment of the present specification, the calculating module 202, when calculating the multidimensional marketing index of each provider in the target store based on the sales data, is further configured to determine a composite index of each provider based on the transaction index, the frequency index, the customer order index, the plateau index, the liveness index, the membership index, and the high-value membership index of each provider, wherein the composite index is used for evaluating the multidimensional operation capability of the provider.
In a specific implementation of the embodiments of the present specification, the following formula is used to determine the composite index for each supplier:
wherein, the SsynIs a composite index, S, of any supplieriRepresents the ith index, S, of the 7 indexesi_t_maxAnd Si_t_minThe maximum value and the minimum value of the ith index of the sales main class of any supplier are respectively.
In a specific implementation manner of the embodiment of the present specification, the encryption module 203 may be specifically configured to encrypt the multidimensional marketing index of each provider in the target store based on a quantile monotonic algorithm to obtain the multidimensional encryption marketing index when encrypting the multidimensional marketing index of each provider in the target store to obtain the multidimensional encryption marketing index.
Accordingly, the evaluation apparatus further comprises: the feedback module is used for directly feeding back the multidimensional marketing index of each supplier to the target store after the multidimensional marketing index of each supplier in the target store is encrypted by the encryption module 203 to obtain the multidimensional encryption marketing index; or feeding back the multidimensional encryption marketing index of each supplier to the target store; or feeding back the multidimensional marketing index of the supplier to the supplier, and feeding back the multidimensional encryption marketing index of other suppliers to the supplier.
In a specific implementation manner of the embodiment of the present specification, when the encryption module 203 encrypts the multidimensional marketing index of the target store-in provider based on the quantile monotonic algorithm to obtain the multidimensional encrypted marketing index, the encryption module may be specifically configured to logarithm an array composed of any one of the multidimensional marketing indexes of the target store-in provider in a descending order to generate an index array; calculating values of a plurality of quantiles corresponding to the index array; and based on the calculated values of the quantiles, encrypting the marketing indexes corresponding to each element in the index array to obtain the multidimensional encryption marketing index.
In a specific implementation manner of the embodiment of this specification, when the encryption module 203 encrypts the marketing index corresponding to each element in the index array based on the calculated values of the multiple quantiles to obtain the multidimensional encryption marketing index, the following formula is specifically adopted:
wherein S istemp∈(Qi,Qi+1](i ═ 1,2,3,4,5), for array EtempEach sales index S intempEncrypting by using quantile increasing algorithm to obtain pseudo sales index Sindex_trans。
In the technical scheme of the specification, sales data of a target store in a preset historical sales period are acquired; calculating a multi-dimensional marketing index of each supplier in the target store based on the sales data, wherein each multi-dimensional marketing index is used for evaluating the operation capacity of the supplier; and encrypting the multidimensional marketing index of each supplier in the target store to obtain the multidimensional encrypted marketing index. Therefore, the multi-dimensional marketing index and the multi-dimensional encryption marketing index of the supplier are provided for the retail stores from multiple dimensions, and the evaluation effectiveness is improved.
It should be understood that the device for evaluating provider operation capability according to the embodiment of the present disclosure may also perform the method performed by the device (or apparatus) for evaluating provider operation capability in fig. 1, and implement the function of the device (or apparatus) for evaluating provider operation capability in the embodiment shown in fig. 1, which is not described herein again.
EXAMPLE III
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. Referring to fig. 3, at a hardware level, the electronic device includes a processor, and optionally further includes an internal bus, a network interface, and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory, such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.
The processor, the network interface, and the memory may be connected to each other via an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (peripheral component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 3, but this does not indicate only one bus or one type of bus.
And the memory is used for storing programs. In particular, the program may include program code comprising computer operating instructions. The memory may include both memory and non-volatile storage and provides instructions and data to the processor.
The processor reads the corresponding computer program from the nonvolatile memory into the memory and then runs the computer program to form the shared resource access control device on the logic level. The processor is used for executing the program stored in the memory and is specifically used for executing the following operations:
acquiring sales data of a target store within a preset historical sales period;
calculating a multi-dimensional marketing index of each supplier in the target store based on the sales data, wherein each multi-dimensional marketing index is used for evaluating the operation capacity of the supplier;
and encrypting the multidimensional marketing index of each supplier in the target store to obtain the multidimensional encrypted marketing index.
According to the technical scheme of the specification, sales data of a target store in a preset historical sales period are obtained; calculating a multi-dimensional marketing index of each supplier in the target store based on the sales data, wherein each multi-dimensional marketing index is used for evaluating the operation capacity of the supplier; and encrypting the multidimensional marketing index of each supplier in the target store to obtain the multidimensional encrypted marketing index. Therefore, the multi-dimensional marketing index and the multi-dimensional encryption marketing index of the supplier are provided for the retail stores from multiple dimensions, and the evaluation effectiveness is improved.
The method performed by the apparatus for evaluating the provider operation capability disclosed in the embodiment of fig. 1 in this specification may be applied to or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present specification may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present specification may be embodied directly in a hardware decoding processor, or in a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
The electronic device may also execute the method in fig. 1, and implement the function of the evaluation apparatus for the provider operation capability in the embodiment shown in fig. 1, which is not described herein again in this specification.
Of course, besides the software implementation, the electronic device of the embodiment of the present disclosure does not exclude other implementations, such as a logic device or a combination of software and hardware, and the like, that is, the execution subject of the following processing flow is not limited to each logic unit, and may also be hardware or a logic device.
Example four
Embodiments of the present specification also propose a computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a portable electronic device comprising a plurality of application programs, are capable of causing the portable electronic device to perform the method of the embodiment shown in fig. 1, and in particular for performing the method of:
acquiring sales data of a target store within a preset historical sales period;
calculating a multi-dimensional marketing index of each supplier in the target store based on the sales data, wherein each multi-dimensional marketing index is used for evaluating the operation capacity of the supplier;
and encrypting the multidimensional marketing index of each supplier in the target store to obtain the multidimensional encrypted marketing index.
According to the technical scheme of the specification, sales data of a target store in a preset historical sales period are obtained; calculating a multi-dimensional marketing index of each supplier in the target store based on the sales data, wherein each multi-dimensional marketing index is used for evaluating the operation capacity of the supplier; and encrypting the multidimensional marketing index of each supplier in the target store to obtain the multidimensional encrypted marketing index. Therefore, the multi-dimensional marketing index and the multi-dimensional encryption marketing index of the supplier are provided for the retail stores from multiple dimensions, and the evaluation effectiveness is improved.
In short, the above description is only a preferred embodiment of the present disclosure, and is not intended to limit the scope of the present disclosure. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present specification shall be included in the protection scope of the present specification.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
Claims (10)
1. A method for assessing provider operational capability, comprising:
acquiring sales data of a target store within a preset historical sales period;
calculating a multi-dimensional marketing index of each supplier in the target store based on the sales data, wherein each multi-dimensional marketing index is used for evaluating the operation capacity of the supplier;
and encrypting the multidimensional marketing index of each supplier in the target store to obtain the multidimensional encrypted marketing index.
2. The assessment method of claim 1, wherein said sales data carries owned attributes of each supplier within said target store;
calculating a multi-dimensional marketing index of each supplier in the target store based on the sales data, specifically comprising:
based on the sales data and the attributes owned therein, marketing metrics for each supplier are determined for the following dimensions, respectively: trade index, frequency index, customer order index, plateau effect index, liveness index, membership index, and high value membership index.
3. The method of claim 2, wherein determining a high value membership index for each supplier based on the sales data and attributes thereof comprises:
determining a high-value member of the target store by using a K-means algorithm based on a consumption element of the member in the sales data, wherein the consumption element comprises: last consumption, frequency of consumption, and amount of consumption;
determining a high-value membership index for each provider based on the consumption amount and the number of consumers for each provider in the high-value membership.
4. The assessment method of claim 2, wherein in calculating a multi-dimensional marketing index for each supplier within the target store based on the sales data, the method further comprises:
determining a comprehensive index of each supplier based on the transaction index, the frequency index, the customer unit index, the plateau effect index, the liveness index, the member index and the high-value member index of each supplier, wherein the comprehensive index is used for evaluating the multidimensional operation capacity of the supplier.
5. The evaluation method of claim 4, wherein the combined index for each supplier is determined using the following formula:
wherein, the SsynIs a composite index, S, of any supplieriRepresents the ith index, S, of the 7 indexesi_t_maxAnd Si_t_minThe maximum value and the minimum value of the ith index of the sales main class of any supplier are respectively.
6. The assessment method according to any one of claims 1 to 5, wherein the encrypting the multidimensional marketing index of each supplier in the target store to obtain the multidimensional encrypted marketing index specifically comprises:
encrypting the multidimensional marketing index of the supplier in the target store based on the quantile monotone algorithm to obtain the multidimensional encrypted marketing index;
after encrypting the multidimensional encryption marketing index of each supplier in the target store to obtain the multidimensional encryption marketing index, the method further comprises the following steps:
directly feeding back the multidimensional marketing index of each supplier to a target store; or,
feeding back the multidimensional encryption marketing index of each supplier to a target store; or,
and feeding back the multidimensional marketing index of the supplier to the supplier, and feeding back the multidimensional encryption marketing index of other suppliers to the supplier.
7. The method of claim 6, wherein the multi-dimensional marketing index of the supplier in the target store is encrypted based on a quantile monotonic algorithm to obtain the multi-dimensional encrypted marketing index, and the method specifically comprises the following steps:
taking a logarithm of an array formed by any dimension marketing index of the suppliers in the target store in a sequence from small to large to generate an index array;
calculating values of a plurality of quantiles corresponding to the index array;
and based on the calculated values of the quantiles, encrypting the marketing indexes corresponding to each element in the index array to obtain the multidimensional encryption marketing index.
8. The method of claim 7, wherein based on the calculated values of the quantiles, the marketing index corresponding to each element in the index array is encrypted to obtain a multidimensional encrypted marketing index, and the following formula is specifically adopted:
wherein S istemp∈(Qi,Qi+1](i ═ 1,2,3,4,5), for array EtempEach sales index S intempEncrypting by using quantile increasing algorithm to obtain pseudo sales index Sindex_trans。
9. An apparatus for evaluating the operational capability of a provider, comprising:
the acquisition module is used for acquiring sales data of a target store in a preset historical sales period;
a calculation module, configured to calculate a multidimensional marketing index for each provider in the target store based on the sales data, where each multidimensional marketing index is used to evaluate an operation capability of the provider;
and the encryption module is used for encrypting the multidimensional marketing index of each supplier in the target store to obtain the multidimensional encryption marketing index.
10. An electronic device, comprising:
a processor; and
a memory arranged to store computer executable instructions that, when executed, cause the processor to:
acquiring sales data of a target store within a preset historical sales period;
and calculating a multi-dimensional marketing index of each supplier in the target store based on the sales data, wherein each multi-dimensional marketing index is used for evaluating the operation capacity of the supplier.
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