CN118172082A - Method, apparatus, device and medium for determining sales variation - Google Patents
Method, apparatus, device and medium for determining sales variation Download PDFInfo
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Abstract
The disclosure provides a method, a device, equipment and a medium for determining sales variation, and relates to the technical field of computers, in particular to the field of data processing. The method comprises the following steps: determining at least one relevant merchant associated with the target merchant from the plurality of candidate merchants based at least on the location information and the historical sales information of the target merchant, and the location information and the historical sales information of the plurality of candidate merchants, wherein the historical sales information includes sales amounts; determining potential sales information of the at least one relevant merchant based on historical sales information of the at least one relevant merchant and historical sales information of other merchants in the plurality of candidate merchants, the potential sales information being used to characterize sales of the at least one relevant merchant without being affected by the target merchant; and determining sales variation information of the at least one relevant merchant based on the historical sales information and the potential sales information of the at least one relevant merchant.
Description
Technical Field
The present disclosure relates to the field of computer technology, and more particularly, to the field of data processing, and in particular, to a method, apparatus, electronic device, computer readable storage medium, and computer program product for determining sales variation.
Background
In the operation of merchants, when the operation state of one merchant changes, sales of other merchants also change accordingly. For example, when a new store is open, sales for other merchants may drop due to the split effect; when an existing merchant is shut down, sales for other merchants may rise due to anti-diversion effects. Analyzing the sales variation of the merchant is advantageous for subsequent merchant operations (e.g., locating subsequent new stores).
The approaches described in this section are not necessarily approaches that have been previously conceived or pursued. Unless otherwise indicated, it should not be assumed that any of the approaches described in this section qualify as prior art merely by virtue of their inclusion in this section. Similarly, the problems mentioned in this section should not be considered as having been recognized in any prior art unless otherwise indicated.
Disclosure of Invention
The present disclosure provides a method, apparatus, electronic device, computer-readable storage medium, and computer program product for determining sales variations.
According to an aspect of the present disclosure, there is provided a method for determining sales variations, comprising: determining at least one relevant merchant associated with the target merchant from the plurality of candidate merchants based at least on the location information and the historical sales information of the target merchant, and the location information and the historical sales information of the plurality of candidate merchants, wherein the historical sales information includes sales amounts; determining potential sales information of the at least one relevant merchant based on historical sales information of the at least one relevant merchant and historical sales information of other merchants in the plurality of candidate merchants, the potential sales information being used to characterize sales of the at least one relevant merchant without being affected by the target merchant; and determining sales variation information of the at least one relevant merchant based on the historical sales information and the potential sales information of the at least one relevant merchant.
According to another aspect of the present disclosure, there is provided an apparatus for calculating sales variation, including: a relevant merchant determination module configured to: determining at least one relevant merchant associated with the target merchant from the plurality of candidate merchants based at least on the location information and the historical sales information of the target merchant, and the location information and the historical sales information of the plurality of candidate merchants, wherein the historical sales information includes sales amounts; a sales information determination module configured to: determining potential sales information of the at least one relevant merchant based on historical sales information of the at least one relevant merchant and historical sales information of other merchants in the plurality of candidate merchants, the potential sales information being used to characterize sales of the at least one relevant merchant without being affected by the target merchant; and a sales variation determination module configured to: sales variation information for at least one relevant merchant is determined based on historical sales information and potential sales information for the at least one relevant merchant.
According to another aspect of the present disclosure, there is provided an electronic device including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method described above.
According to another aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform the above-described method.
According to another aspect of the present disclosure, a computer program product is provided, comprising a computer program, wherein the computer program, when executed by a processor, implements the above method.
According to one or more embodiments of the present disclosure, the sales variation of the merchant may be more accurately quantitatively analyzed.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.
Drawings
The accompanying drawings illustrate exemplary embodiments and, together with the description, serve to explain exemplary implementations of the embodiments. The illustrated embodiments are for exemplary purposes only and do not limit the scope of the claims. Throughout the drawings, identical reference numerals designate similar, but not necessarily identical, elements.
FIG. 1 illustrates a flowchart for calculating sales variations according to an exemplary embodiment of the present disclosure;
FIG. 2 shows a schematic diagram of a target merchant and candidate merchants in accordance with an exemplary embodiment of the present disclosure;
FIG. 3 illustrates a flowchart of an exemplary process for determining at least one relevant merchant associated with a target merchant from a plurality of candidate merchants based on location information and historical sales information of the target merchant, and location information and historical sales information of the plurality of candidate merchants in the method of FIG. 1, according to an embodiment of the present disclosure;
FIGS. 4A-4B are schematic diagrams illustrating determining a sound range according to an exemplary embodiment of the present disclosure;
FIG. 5 illustrates a flowchart of an exemplary process of determining an impact distance of a target merchant based on a user ID of the target merchant and a user ID of a candidate merchant in the process of FIG. 3, according to an embodiment of the present disclosure;
FIG. 6 illustrates a block diagram of an apparatus for calculating sales variation according to an exemplary embodiment of the present disclosure;
fig. 7 shows a block diagram of an electronic device according to an embodiment of the disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
In the present disclosure, the use of the terms "first," "second," and the like to describe various elements is not intended to limit the positional relationship, timing relationship, or importance relationship of the elements, unless otherwise indicated, and such terms are merely used to distinguish one element from another. In some examples, a first element and a second element may refer to the same instance of the element, and in some cases, they may also refer to different instances based on the description of the context.
The terminology used in the description of the various illustrated examples in this disclosure is for the purpose of describing particular examples only and is not intended to be limiting. Unless the context clearly indicates otherwise, the elements may be one or more if the number of the elements is not specifically limited. Furthermore, the term "and/or" as used in this disclosure encompasses any and all possible combinations of the listed items.
In the related art, when analyzing sales variation such as new business industry or business variation of closing of existing businesses, analysis is often performed by tracking user flow between different businesses, for example, obtaining a consumption record of a user for a certain period of time through a user ID, so as to analyze diversion or reverse diversion between businesses.
However, in the related art, there are at least two problems:
1) The related art ignores the case where the user does not use the user ID at the time of consumption, for example, when the user pays with cash instead of electronic payment, the flow situation of the user cannot be analyzed by tracking the user ID;
2) The related art ignores the impact of store changes on potential users, e.g., some new merchants and co-potential users of existing merchants have not consumed at existing merchants, but these co-potential users choose to go to new merchant consumption after the new merchant is in business, and no longer go to existing merchant consumption.
As can be seen, the related art merchant variation analysis method based only on the user ID ignores the consumption variation of a part of users, and thus the sales variation obtained based on the related art merchant variation analysis method is inaccurate.
To solve the above-described problems, the present disclosure provides a method for determining sales variation, including: determining at least one relevant merchant associated with the target merchant from the plurality of candidate merchants based at least on the location information and the historical sales information of the target merchant, and the location information and the historical sales information of the plurality of candidate merchants, wherein the historical sales information includes sales amounts; determining potential sales information of the at least one relevant merchant based on historical sales information of the at least one relevant merchant and historical sales information of other merchants in the plurality of candidate merchants, the potential sales information being used to characterize sales of the at least one relevant merchant without being affected by the target merchant; and determining sales variation information of the at least one relevant merchant based on the historical sales information and the potential sales information of the at least one relevant merchant.
Embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings.
Fig. 1 illustrates a flowchart of a method 100 for determining sales variations, according to an embodiment of the present disclosure. The method 100 is performed by an electronic device (e.g., the electronic device 600, infra). As shown in fig. 1, the method 100 includes:
step S110: determining at least one relevant merchant associated with the target merchant from the plurality of candidate merchants based at least on the location information and the historical sales information of the target merchant, and the location information and the historical sales information of the plurality of candidate merchants, wherein the historical sales information includes sales amounts;
Step S120: determining potential sales information of the at least one relevant merchant based on historical sales information of the at least one relevant merchant and historical sales information of other merchants in the plurality of candidate merchants, the potential sales information being used to characterize sales of the at least one relevant merchant without being affected by the target merchant; and
Step S130: sales variation information for at least one relevant merchant is determined based on historical sales information and potential sales information for the at least one relevant merchant.
According to the embodiment of the present disclosure, at least one relevant merchant associated with a target merchant is determined based on the location information and the historical sales information of the target merchant, so that the merchant affected by the target merchant can be accurately determined; since the potential sales information of at least one relevant merchant is determined based on the historical sales information of the at least one relevant merchant and the historical sales information of other merchants in the plurality of candidate merchants, the sales of the affected merchant without being affected by the target merchant can be accurately determined according to the historical sales information of the affected merchant and the unaffected other merchants, so that the sales variation of the existing merchant caused by the target merchant variation can be accurately quantized and analyzed.
The various steps of method 100 are described in detail below.
In embodiments of the present disclosure, a merchant may be any business entity including, but not limited to, restaurants, supermarkets, specialty shops for various types of merchandise, gyms, casino, etc.
In embodiments of the present disclosure, the target merchant may be a merchant whose business state changes. According to some embodiments, the target merchants include newly-opened merchants and/or merchants that end business. According to other embodiments, the target merchant is a merchant whose business duration changes, such as a merchant whose business duration increases or decreases.
In embodiments of the present disclosure, the candidate merchant may be a store that offers similar services or sells similar goods as the target merchant, e.g., both the candidate merchant and the target merchant are stores that sell western style snacks. According to some embodiments, the candidate merchants may further be merchants that belong to the same geographic area as the target merchant. For example, the candidate merchants are merchants that are of the same type as the candidate merchant within a geographic area (e.g., a city) in which the target merchant is located.
For example, as shown in FIG. 2, in region 200, merchant 201 is the target merchant whose business status changes, while other merchants 211-216 in region 200 are candidate merchants. It should be understood that the number and location of merchants and the size and shape of the areas in fig. 2 are merely illustrative, and that the actual situation may differ from the illustration (e.g., merchants may be more or less and may be located in different locations than illustrated).
According to some embodiments, determining at least one relevant merchant associated with the target merchant from a plurality of candidate merchants comprises: an impact range of the target merchant is determined, and a merchant of the plurality of candidate merchants that is within the impact range is determined to be a relevant merchant. Thus, the method as described in the present disclosure may distinguish between merchants of candidate merchants that are affected by the target merchant and merchants that are unaffected by the target merchant for more accurate sales variation analysis subsequently.
According to some embodiments, the historical sales information further includes a user ID, and the candidate merchant and the target merchant have user ID intersections.
According to some embodiments, determining at least one relevant merchant associated with the target merchant from the plurality of candidate merchants based at least on the location information and the historical sales information of the target merchant and the location information and the historical sales information of the plurality of candidate merchants comprises: determining the influence distance of the target merchant based on the user ID of the target merchant and the user ID of the candidate merchant; determining an influence range of the target merchant based on the position information and the influence distance of the target merchant; and determining at least one relevant merchant from the plurality of candidate merchants based on the range of influence of the target merchant and the location information of the candidate merchants.
Fig. 3 illustrates a flowchart of an exemplary process (e.g., step S110 in fig. 1) of determining at least one relevant merchant associated with a target merchant from a plurality of candidate merchants based on location information and historical sales information of the target merchant, and location information and historical sales information of the plurality of candidate merchants in method 100 of fig. 1, according to an embodiment of the present disclosure.
Step S301: determining the influence distance of the target merchant based on the user ID of the target merchant and the user ID of the candidate merchant;
Step S302, determining the influence range of the target merchant based on the position information and the influence distance of the target merchant;
step S303: at least one relevant merchant is determined from the plurality of candidate merchants based on the range of influence of the target merchant and the location information of the candidate merchants.
According to some embodiments, as shown in fig. 4A, after determining the influence distance of the target merchant 201, an influence range 220 of the target merchant 201 is determined with the location information of the target merchant 201 as a center and the area with the influence distance of the target merchant 201 as a radius.
According to some embodiments, the scope of influence may also be set according to other rules (e.g., according to geographic obstacles), or set to other shapes.
For example, as shown in fig. 4B, although the distance between the candidate business 217 and the target business 201 is smaller than the influence distance, there is a geographic obstacle 221 (e.g., a railway, a river, or a hill) between the candidate business 217 and the target business 201, and thus the user of the candidate business 217 is not easily shunted or reversely shunted by the target business 201, and therefore, the influence range 220 should be set to an irregular shape bordered by the geographic obstacle 221, instead of being circular as in fig. 4A.
Additionally, merchants within certain particular ranges (e.g., train stations, airports, bus stops, etc.) may not interact with merchants outside of the particular ranges. Thus, if the target merchant is a merchant within the specific range, the influence range of the merchant is set to be included within the specific range, and if the target merchant is a merchant near the specific range, the influence range of the merchant should be set not to overlap with the specific range.
According to some embodiments, in step S301, the user sharing condition of the target merchant and the candidate merchant is determined based on the intersection of the user ID of the target merchant and the user ID of the candidate merchant, thereby determining the influence distance of the target merchant.
According to some embodiments, determining the impact distance of the target merchant based on the user ID of the target merchant and the user IDs of the candidate merchants comprises: acquiring an initial value of an influence distance; determining user ID intersection of the target merchant and the merchant within the distance among the candidate merchants, wherein the distance between the target merchant and the merchant within the distance is the merchant with the distance less than or equal to the influence distance among the candidate merchants; determining the influence distance as the current influence distance in response to the fact that the ratio of the intersection of the user ID of the target merchant and the user ID of the merchant in the distance meets a preset condition; and increasing the influence distance in response to the ratio of the intersection of the merchant and the user ID of the target merchant in the distance in the user ID of the target merchant not meeting the preset condition.
Fig. 5 illustrates a flowchart of an exemplary process (e.g., step S301 in fig. 3) of determining an impact distance of a target merchant based on a user ID of the target merchant and a user ID of a candidate merchant in the process of fig. 3, according to an embodiment of the present disclosure.
Step S501: acquiring an initial value of an influence distance;
step S502: determining user ID intersection of the target merchant and the merchant within the distance among the candidate merchants, wherein the distance between the target merchant and the merchant within the distance is the merchant with the distance less than or equal to the influence distance among the candidate merchants;
step S503: judging whether the ratio of the intersection of the user ID of the merchant and the target merchant in the distance in the user ID of the target merchant meets the preset condition, if so, proceeding to step S504, and if not, proceeding to step S505.
Step S504: determining the influence distance as the current influence distance;
Step S505: increasing the impact distance.
According to some embodiments, in step S501, the initial value of the influence distance may be 0. According to other embodiments, the initial value of the influence distance may also be set to other smaller values, for example 100m.
According to some embodiments, the initial value of the influence distance may be set manually or may be a default setting value.
According to some embodiments, after determining the impact distance, all merchants with a distance less than or equal to the impact distance from the target merchant may be selected as in-distance users from all candidate merchants, for calculating user ID intersections of the in-distance users with the target user in step S502.
According to some embodiments, in step S502, a security calculation method such as privacy intersection may be used to determine the user ID intersection of the user and the target user within the distance to ensure data security of the user ID information.
According to some embodiments, the preset conditions include: the rate of increase of the ratio of the intersection of the user ID of the merchant and the target merchant in the user ID of the target merchant within the distance is less than a predetermined threshold. That is, when the ratio of the intersection of the user ID of the target merchant and the merchant within the distance in the user ID of the target merchant tends to be gentle as the influence distance increases, the influence distance may be determined as the current influence distance.
According to other embodiments, the preset conditions may further include: the increase in the ratio of the user ID intersection of the merchant and the target merchant in the distance calculated at this time in the user ID of the target merchant is less than a predetermined threshold value compared with the ratio of the user ID intersection of the merchant and the target merchant in the distance calculated at the last time in the user ID of the target merchant.
According to some embodiments, methods other than analyzing the user's duty cycle may also be used to determine the range of influence. For example, the influence range is determined by analyzing a ratio of the consumption amount of the target merchant by the co-user of the user and the target merchant within the distance to the sales amount of the target merchant and/or a ratio of the consumption number of the target merchant by the co-user of the user and the target merchant within the distance to the consumption number of the target merchant.
According to some embodiments, in the event that the user ID of the target store cannot be obtained (e.g., the target store is a competitor store), the scope of influence may also be determined from historical data analysis (e.g., the scope of influence of a merchant in a five-wire city is determined as an area 3km from the merchant from historical analysis).
According to some embodiments, the user ID of a target merchant is the set of user IDs consumed by the merchant within a period of time after the target merchant has been changed (e.g., the period of time that the new business's merchant has stabilized from business to customer flow), and the user ID of a merchant within a distance is the set of user IDs consumed by the merchant within a period of time before the merchant has been changed (e.g., within one year before the merchant has been changed).
According to some embodiments, determining potential sales information for at least one relevant merchant based on historical sales information for the at least one relevant merchant and historical sales information for other merchants of the plurality of candidate merchants comprises: for each relevant merchant, potential sales information for the relevant merchant is determined based on historical sales information for the relevant merchant and historical sales information for peer merchants of the relevant merchant. According to some embodiments, the peer-to-peer merchant of the relevant merchant is the other merchant of the plurality of candidate merchants or a portion of the merchants determined from the other merchant of the plurality of candidate merchants.
It should be appreciated that if unaffected by target store changes, the sales information for the relevant merchant should be associated with sales information for other unaffected candidate merchants. Accordingly, the sales information of the relevant merchant after the target merchant is changed under the assumption that the relevant merchant is not influenced by the target merchant can be determined based on the sales information of the relevant merchant before the target merchant is changed and the sales information of other unaffected candidate merchants before and after the target merchant is changed.
According to some embodiments, the peer-to-peer merchant of the relevant merchant is the other merchant of the plurality of candidate merchants, and determining potential sales information for the relevant merchant based on historical sales information for the relevant merchant and historical sales information for the other merchant of the plurality of candidate merchants comprises: determining a potential growth rate of the relevant merchant based on a first growth rate of sales of the relevant merchant before the target merchant changes, a second growth rate of sales of other merchants in the plurality of candidate merchants before the target merchant changes, and a third growth rate of sales of the relevant merchant after the target merchant changes; and calculating the potential sales of the relevant merchant based on the potential growth rate of the relevant merchant and the first sales before the target merchant is changed.
Assuming that the rate of increase of sales of the relevant merchant is s1 and the rate of increase of sales of other merchants in the candidate merchants is c1 before the target merchant changes, the individual rate of increase of the relevant merchant is r1=s1/c 1, that is, the whole increased part is removed from the rate of increase of the relevant merchant. For example, in a tourist city, the sales of merchants in the city can rise in summer, but the area where the relevant merchants are located is a university city, the sales can be reduced due to student data, and r1 can remove the increase of tourists in summer in the city from the increase rate of the merchants, and reflect the reduction of sales after the students leave.
Assuming no influence of the target merchant, the rate of increase r1 of the relevant merchant before the target merchant changes is equal to the rate of increase r2 after the target merchant changes. Based on the assumption, if the rate of increase of sales of the relevant merchant is s2 and the rate of increase of sales of other merchants in the candidate merchants is c2 after the target merchant is changed without being influenced by the target merchant, the individual rate of increase of the relevant merchant is r2=s2/c 2, and the rate of increase of sales of the relevant merchant, which is not influenced by the target merchant after the target merchant is changed, is s2=s1×c2/c1.
Assuming that the sales of the relevant merchant before the target merchant changes is p, if the sales of the relevant merchant are not influenced by the target merchant, the potential sales of the relevant merchant after the target merchant changes is p×s2.
According to some embodiments, the peer-to-peer merchant of the relevant merchant is a portion of the merchants determined from other merchants of the plurality of candidate merchants, and determining potential sales information for the at least one relevant merchant based on historical sales information for the at least one relevant merchant and historical sales information for the other merchants of the plurality of candidate merchants further comprises: for each relevant merchant, a peer-to-peer merchant for the relevant merchant is determined from the other merchants in the plurality of candidate merchants based on the attributes of the relevant merchant.
According to some embodiments, for each relevant merchant, the merchant that has the same attribute as the relevant merchant (e.g., whether breakfast is provided, whether take away service is provided) is screened out of the other merchants in the unaffected plurality of candidate merchants as a peer-to-peer merchant for the relevant merchant. For example, if the relevant merchant is a fast food restaurant selling breakfast, the merchant that also sells breakfast among other merchants in the plurality of candidate merchants is selected as the peer merchant for the relevant merchant.
According to some embodiments, similar to the method described above, the sales information of the relevant merchant after the target merchant is changed under the assumption that the relevant merchant is not affected by the target merchant is determined based on the sales information of the relevant merchant before the target merchant is changed and the sales information of the peer merchant before the target merchant is changed and after the target merchant is changed.
In embodiments as described in the present disclosure, by selecting a peer merchant according to the attribute of each relevant merchant and calculating potential sales information according to sales information of the relevant merchant and sales information of its peer merchant, potential sales information of each merchant can be calculated more accurately.
According to some embodiments, determining potential sales information for the relevant merchant based on historical sales information for the relevant merchant and historical sales information for a peer merchant of the relevant merchant comprises: determining a potential growth rate of the relevant merchant based on a first growth rate of sales of the relevant merchant before the target merchant changes, a second growth rate of sales of peer merchants of the relevant merchant before the target merchant changes, and a third growth rate of sales of the peer merchants of the relevant merchant after the target merchant changes; and calculating the potential sales of the relevant merchant based on the potential growth rate of the relevant merchant and the first sales before the target merchant is changed.
In some cases, the amount of people in the range of influence varies before and after the target merchant changes. For example, merchants in a new business often choose to synchronize with the business in which they are located (e.g., on the same day of the mall business, an internal restaurant also begins to open), which gives the business a range of influence that draws a large amount of people to reach the merchant.
According to some embodiments, the method as described in the present disclosure further comprises: and correcting the potential sales information of at least one relevant merchant based on the people flow rate change coefficient of the influence range of the target merchant, wherein the people flow rate change coefficient represents the change of people flow rate before and after the change of the target merchant in the influence range. According to some embodiments, the correction based on the variation in the flow of people described above may be performed before determining sales variation information for at least one relevant merchant.
Assuming that the flow of people before and after the change of the target merchant is f1 and f2 respectively in the range, the flow coefficient of people is f2/f1, and the potential sales of the relevant merchant is p x s2 x f2/f1.
In some cases, there is a difference in the number of business days for the relevant merchant during the same natural day period before and after the change of the target merchant.
According to some embodiments, the method as described in the present disclosure further comprises: for each relevant merchant, correcting the potential sales information of the relevant merchant based on the business day change coefficient of the relevant merchant, wherein the business day change coefficient of the relevant merchant characterizes the change of business days of the relevant merchant before and after the change of the target merchant. According to some embodiments, the correction for business day based variations described above may be performed prior to determining sales variation information for at least one relevant merchant.
Assuming that the traffic flow before and after the change of the target merchant is d1 and d2 respectively in the range, the traffic flow coefficient is d2/d1, and the potential sales of the relevant merchant is p×s2×d2/d1.
According to some embodiments, the potential sales of the relevant merchant may also be corrected according to both the traffic variance factor and the business day variance factor, i.e., p×s2/f1×d2/d1.
According to some embodiments, determining sales variation information for at least one relevant merchant based on historical sales information and potential sales information for the at least one relevant merchant comprises: for each relevant merchant, determining sales variation information of the relevant merchant based on historical sales information and potential sales information of the relevant merchant; sales variation information for at least one relevant merchant is determined based on sales variation information for each relevant merchant.
According to some embodiments, the difference between the actual sales and the potential sales of each relevant merchant after the target merchant is changed is calculated as the sales change for that relevant merchant, and the sales changes for all relevant merchants are summed as the sales change for at least one relevant merchant.
According to some embodiments, if the sales variation of at least one relevant merchant determined as described above is greater than the sales of the target merchant, the sales variation of the at least one relevant merchant is corrected to the sales of the target merchant.
According to some embodiments, sales variation information of at least one relevant merchant is used for one or more of performance assessment of at least one relevant merchant, determining whether the range to which the target merchant belongs is saturated in selecting addresses of merchants of new industries in the future.
According to some embodiments, determining sales variation information for the relevant merchant based on the historical sales information and the potential sales information for the relevant merchant comprises: determining sales variation amounts for the relevant merchants based on the historical sales information and the potential sales information of the relevant merchants, and wherein determining sales variation information for at least one relevant merchant based on the sales variation information of each relevant merchant comprises: determining sales variation of at least one relevant merchant based on sales variation of each relevant merchant; and determining a sales variation duty cycle for the at least one relevant merchant based on the sales variation amount and the historical sales information for the at least one relevant merchant.
According to some embodiments, in order to take into account the effects of merchant variations when planning the current sales growth target, the sales growth target may be adjusted based on the sales variation duty cycle described above. For example, if the target growth rate is set to g and the sales variation duty ratio due to the merchant variation is r, the target growth rate should be adjusted to (g-r). Fig. 6 shows a block diagram of an apparatus 600 for calculating sales variations according to an exemplary embodiment of the present disclosure. As shown in fig. 6, the apparatus 600 includes:
The relevant merchant determination module 601 is configured to: determining at least one relevant merchant associated with the target merchant from the plurality of candidate merchants based at least on the location information and the historical sales information of the target merchant, and the location information and the historical sales information of the plurality of candidate merchants, wherein the historical sales information includes sales amounts;
the sales information determination module 602 is configured to: determining potential sales information of the at least one relevant merchant based on historical sales information of the at least one relevant merchant and historical sales information of other merchants in the plurality of candidate merchants, the potential sales information being used to characterize sales of the at least one relevant merchant without being affected by the target merchant; and
The sales variation determination module 603 is configured to: sales variation information for at least one relevant merchant is determined based on historical sales information and potential sales information for the at least one relevant merchant.
The operations of the module 601-unit 603 of the apparatus 600 are similar to those of the steps S101-S103 described above with reference to fig. 1, and will not be described here.
According to another aspect of the present disclosure, there is also provided an electronic apparatus including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method described above.
According to another aspect of the present disclosure, there is also provided a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform the above-described method.
According to another aspect of the present disclosure, there is also provided a computer program product comprising a computer program, wherein the computer program, when executed by a processor, implements the method described above.
In the technical scheme of the disclosure, the related processes of collecting, storing, using, processing, transmitting, providing, disclosing and the like of the personal information of the user accord with the regulations of related laws and regulations, and the public order colloquial is not violated.
Referring to fig. 7, a block diagram of a structure of an electronic device 700 that may be used as the present disclosure will now be described, which is an example of a hardware device that may be applied to aspects of the present disclosure. The electronic devices may be different types of computer devices, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
Fig. 7 shows a block diagram of an electronic device according to an embodiment of the disclosure. As shown in fig. 7, the electronic device 700 may include at least one processor 701, a working memory 702, an I/O device 704, a display device 705, a storage 706, and a communication interface 707 that can communicate with each other over a system bus 703.
The processor 701 may be a single processing unit or multiple processing units, all of which may include a single or multiple computing units or multiple cores. The processor 701 may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, state machines, logic circuitries, and/or any devices that manipulate signals based on operational instructions. The processor 701 may be configured to obtain and execute computer readable instructions stored in the working memory 702, the storage 706, or other computer readable media, such as program code of the operating system 702a, program code of the application programs 702b, and so forth.
The working memory 702 and the storage 706 are examples of computer-readable storage media for storing instructions that are executed by the processor 701 to implement the various functions described previously. The working memory 702 may include both volatile memory and nonvolatile memory (e.g., RAM, ROM, etc.). In addition, storage 706 may include hard drives, solid state drives, removable media, including external and removable drives, memory cards, flash memory, floppy disks, optical disks (e.g., CD, DVD), storage arrays, network attached storage, storage area networks, and the like. The working memory 702 and the storage 706 may both be referred to herein collectively as memory or computer-readable storage medium, and may be non-transitory media capable of storing computer-readable, processor-executable program instructions as computer program code that may be executed by the processor 701 as a particular machine configured to implement the operations and functions described in the examples herein.
I/O devices 704 may include input devices, which may be any type of device capable of inputting information to electronic device 700, and/or output devices, which may include, but are not limited to, a mouse, a keyboard, a touch screen, a trackpad, a trackball, a joystick, a microphone, and/or a remote control. The output device may be any type of device capable of presenting information and may include, but is not limited to including, a video/audio output terminal, a vibrator, and/or a printer.
Communication interface 707 allows electronic device 700 to exchange information/data with other devices over computer networks, such as the internet, and/or various telecommunications networks, and may include, but is not limited to, modems, network cards, infrared communication devices, wireless communication transceivers and/or chipsets, such as bluetooth (TM) devices, 802.11 devices, wiFi devices, wiMax devices, cellular communication devices, and/or the like.
The application 702b in the working register 702 may be loaded to perform the various methods and processes described above, such as steps S101-S103 in fig. 1. In some embodiments, some or all of the computer program may be loaded and/or installed onto electronic device 700 via storage 706 and/or communication interface 707. One or more of the steps of the methods described above may be performed when a computer program is loaded and executed by the processor 701.
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel, sequentially or in a different order, provided that the desired results of the disclosed aspects are achieved, and are not limited herein.
Although embodiments or examples of the present disclosure have been described with reference to the accompanying drawings, it is to be understood that the foregoing methods, systems, and apparatus are merely exemplary embodiments or examples, and that the scope of the present invention is not limited by these embodiments or examples but only by the claims following the grant and their equivalents. Various elements of the embodiments or examples may be omitted or replaced with equivalent elements thereof. Furthermore, the steps may be performed in a different order than described in the present disclosure. Further, various elements of the embodiments or examples may be combined in various ways. It is important that as technology evolves, many of the elements described herein may be replaced by equivalent elements that appear after the disclosure.
Claims (18)
1. A method for determining sales variations, comprising:
Determining at least one relevant merchant associated with a target merchant from a plurality of candidate merchants based at least on location information and historical sales information of the target merchant, and location information and historical sales information of the candidate merchants, wherein the historical sales information includes sales;
Determining potential sales information for the at least one relevant merchant based on historical sales information for the at least one relevant merchant and historical sales information for other merchants of the plurality of candidate merchants, the potential sales information being used to characterize sales of the at least one relevant merchant without being affected by the target merchant; and
Based on the historical sales information and the potential sales information of the at least one relevant merchant, sales variation information of the at least one relevant merchant is determined.
2. The method of claim 1, wherein the determining potential sales information for the at least one relevant merchant based on historical sales information for the at least one relevant merchant and historical sales information for other merchants of the plurality of candidate merchants comprises: for each relevant merchant, determining potential sales information for the relevant merchant based on historical sales information for the relevant merchant and historical sales information for peer merchants of the relevant merchant,
Wherein the peer-to-peer merchant of the relevant merchant is the other merchant of the plurality of candidate merchants or a portion of the merchants determined from the other merchants of the plurality of candidate merchants.
3. The method of claim 2, wherein the peer merchant of the associated merchant is the other merchant of the plurality of candidate merchants, and
The determining potential sales information for the relevant merchant based on the historical sales information for the relevant merchant and the historical sales information for other merchants in the plurality of candidate merchants includes:
Determining a potential growth rate of the relevant merchant based on a first growth rate of sales of the relevant merchant before the target merchant changes, and a second growth rate of sales of other merchants in the plurality of candidate merchants before the target merchant changes and a third growth rate of sales of the relevant merchant after the target merchant changes; and
Based on the potential growth rate of the relevant merchant and the first sales amount before the target merchant is changed, the potential sales amount of the relevant merchant is calculated.
4. The method of claim 2, wherein the peer-to-peer merchant of the associated merchant is a portion of merchants determined from other merchants of the plurality of candidate merchants, and
The determining potential sales information for the at least one relevant merchant based on the historical sales information for the at least one relevant merchant and the historical sales information for other merchants of the plurality of candidate merchants further comprises:
For each relevant merchant, determining a peer merchant for the relevant merchant from the other merchants in the plurality of candidate merchants based on the attributes of the relevant merchant.
5. The method of claim 4, wherein the determining potential sales information for the relevant merchant based on the historical sales information for the relevant merchant and the historical sales information for the relevant merchant's peer-to-peer merchant comprises:
Determining a potential growth rate of the relevant merchant based on a first growth rate of sales of the relevant merchant before the target merchant changes, a second growth rate of sales of peer merchants of the relevant merchant before the target merchant changes, and a third growth rate of sales of the relevant merchant after the target merchant changes; and
Based on the potential growth rate of the relevant merchant and the first sales amount before the target merchant is changed, the potential sales amount of the relevant merchant is calculated.
6. The method of claim 1, wherein the historical sales information further includes a user ID, the candidate merchant and the target merchant have a user ID intersection, and
The determining at least one relevant merchant associated with the target merchant from the plurality of candidate merchants based at least on the location information and the historical sales information of the target merchant and the location information and the historical sales information of the plurality of candidate merchants comprises:
Determining an influence distance of the target merchant based on the user ID of the target merchant and the user ID of the candidate merchant;
determining an influence range of the target merchant based on the position information and the influence distance of the target merchant; and
The at least one relevant merchant is determined from the plurality of candidate merchants based on the range of influence of the target merchant and the location information of the candidate merchants.
7. The method of claim 6, wherein the determining the impact distance of the target merchant based on the user ID of the target merchant and the user ID of the candidate merchant comprises:
Acquiring an initial value of the influence distance;
Determining a user ID intersection of the target merchant and a merchant within a distance from the candidate merchants, wherein the distance from the target merchant to the merchant within the distance is less than or equal to the influence distance;
Determining the influence distance as the current influence distance in response to the fact that the ratio of the intersection of the merchant and the user ID of the target merchant in the distance in the user ID of the target merchant meets a preset condition; and
And increasing the influence distance in response to the fact that the ratio of the intersection of the merchant and the user ID of the target merchant in the distance in the user ID of the target merchant does not meet a preset condition.
8. The method of claim 7, wherein the preset conditions include: the rate of increase of the ratio of the intersection of the merchant and the user ID of the target merchant in the user ID of the target merchant within the distance is less than a predetermined threshold.
9. The method of claim 2, further comprising:
Correcting potential sales information of the at least one relevant merchant based on a coefficient of variation of the mass flow of persons of the target merchant's range of influence,
Wherein the mass flow coefficient of variation characterizes the variation of mass flow before and after the variation of the target merchant within the influence range.
10. The method of claim 1, further comprising:
For each relevant merchant, based on the business day change coefficient of the relevant merchant, correcting the potential sales information of the relevant merchant,
Wherein the business day change factor of the relevant merchant characterizes the change of business days of the relevant merchant before and after the change of the target merchant.
11. The method of claim 1, wherein the determining sales variation information for the at least one relevant merchant based on historical sales information and potential sales information for the at least one relevant merchant comprises:
For each relevant merchant, determining sales variation information of the relevant merchant based on historical sales information and potential sales information of the relevant merchant;
the sales variation information of the at least one relevant merchant is determined based on the sales variation information of each relevant merchant.
12. The method of claim 11, wherein the determining sales variation information for the relevant merchant based on the historical sales information and the potential sales information for the relevant merchant comprises:
Determining sales variation of the relevant merchant based on the historical sales information and the potential sales information of the relevant merchant, and
Wherein the determining sales variation information for the at least one relevant merchant based on sales variation information for each relevant merchant comprises:
determining sales variation for the at least one relevant merchant based on sales variation for each relevant merchant; and
A sales variation duty cycle of the at least one relevant merchant is determined based on the sales variation amount and the historical sales information of the at least one relevant merchant.
13. The method of any of claims 1-12, wherein the target merchant comprises a newly-open merchant and/or a business-ending merchant.
14. The method of any of claims 1-12, wherein the sales variation information of the at least one relevant merchant is used for one or more of performance assessment of the at least one relevant merchant, determining whether the target merchant's range is saturated, and selecting addresses for merchants of new future industries.
15. An apparatus for calculating sales variations, comprising:
A relevant merchant determination module configured to: determining at least one relevant merchant associated with a target merchant from a plurality of candidate merchants based at least on location information and historical sales information of the target merchant, and location information and historical sales information of the candidate merchants, wherein the historical sales information includes sales;
A sales information determination module configured to: determining potential sales information for the at least one relevant merchant based on historical sales information for the at least one relevant merchant and historical sales information for other merchants of the plurality of candidate merchants, the potential sales information being used to characterize sales of the at least one relevant merchant without being affected by the target merchant; and
A sales variation determination module configured to: based on the historical sales information and the potential sales information of the at least one relevant merchant, sales variation information of the at least one relevant merchant is determined.
16. An electronic device, comprising:
at least one processor; and
A memory communicatively coupled to the at least one processor; wherein the method comprises the steps of
The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-14.
17. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-14.
18. A computer program product comprising a computer program, wherein the computer program, when executed by a processor, implements the method of any of claims 1-14.
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| CN202211586819.1A CN118172082A (en) | 2022-12-09 | 2022-12-09 | Method, apparatus, device and medium for determining sales variation |
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