CN115983951A - Virtual space shelf commodity arrangement method, system and readable storage medium - Google Patents
Virtual space shelf commodity arrangement method, system and readable storage medium Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 40
- 239000002775 capsule Substances 0.000 claims description 22
- 238000012163 sequencing technique Methods 0.000 claims description 15
- 230000009471 action Effects 0.000 abstract description 4
- 230000003044 adaptive effect Effects 0.000 description 6
- 238000007405 data analysis Methods 0.000 description 6
- 241000209094 Oryza Species 0.000 description 4
- 235000007164 Oryza sativa Nutrition 0.000 description 4
- 235000013339 cereals Nutrition 0.000 description 4
- 235000013410 fast food Nutrition 0.000 description 4
- 235000012149 noodles Nutrition 0.000 description 4
- 235000009566 rice Nutrition 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
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Abstract
The invention discloses a virtual space shelf commodity arrangement method, a system and a readable storage medium, wherein the method comprises the following steps: acquiring the priority of goods on a shelf, wherein the priority of goods on the shelf comprises the priority of goods on the shelf and the priority of goods on the shelf; identifying different target areas arranged in a virtual space, and matching the goods shelf priority based on the target areas, wherein the target areas are matched based on the goods sorting priority to extract target goods for display; matching the target area based on the shelf-ordering priority to update a target shelf ordering within the target area. The invention can not only adjust the position of the whole goods shelf, but also adjust the position of a single commodity on the goods shelf, compared with the offline, the online updating speed is high, and the data return is accurate; compared with the traditional mode of recording the commodity coordinates in an online supermarket, the method is more convenient and efficient. Through user's action, the automatic adjustment goods improves whole sales.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a virtual space shelf commodity arrangement method, a virtual space shelf commodity arrangement system and a readable storage medium.
Background
The metastic virtual space has a plurality of application scenes, an online supermarket is a relatively common scene, online markets and offline markets have the same functions, commodities are displayed through the goods shelf, and online sellers can replace commodity placement positions regularly, so that the commodity sales volume is increased, and the overall income is increased.
The on-line adjustment of the commodity sequence requires a technician or a product manager to change the product coordinates to adjust the position, which wastes a long time and is a complicated and repetitive work.
Disclosure of Invention
The invention aims to provide a commodity arrangement method, a commodity arrangement system and a readable storage medium for a virtual space shelf, which can adjust the position of the whole shelf and the position of a single commodity on the shelf, and compared with the offline mode, the online update speed is high, and the data return is accurate; compared with the traditional mode of recording the commodity coordinates in a line supermarket, the method is more convenient and efficient. Through user's action, the automatic adjustment goods improves whole sales.
The invention provides a virtual space shelf commodity arrangement method, which comprises the following steps:
acquiring the priority of goods on a shelf, wherein the priority of goods on the shelf comprises the priority of goods on the shelf and the priority of goods on the shelf;
identifying different target areas set within a virtual space, matching the shelf item priorities based on the target areas, wherein,
matching the target area based on the commodity sequencing priority to extract a target commodity for display;
matching the target area based on the shelf ordering priority to update a target shelf ordering within the target area.
In this scheme, acquire goods shelves commodity priority, wherein, goods shelves commodity priority includes goods shelves sequencing priority and commodity sequencing priority, specifically includes:
acquiring the commodity attribute and the shelf type in the cube capsule;
identifying a shelf ordering to which the goods in the current cube capsule belong based on the shelf type, thereby identifying the corresponding shelf ordering priority based on the shelf ordering;
and identifying the commodity sequence to which the commodities in the current cube capsule belong based on the commodity attributes, so as to identify the corresponding commodity sequence priority based on the commodity sequence.
In this scheme, the identifying different target areas set in the virtual space, based on the target areas matching the priority of the goods on shelves specifically includes:
identifying different target areas based on area numbers in a virtual space, wherein the target areas at least comprise an entrance area, a regular area and a highlight area;
matching the target area based on the shelf item priority includes matching the entry area based on the shelf item priority, and/or matching the regular area based on the shelf item priority, and/or matching the eye-catching area based on the shelf item priority.
In this scheme, the matching the target area based on the commodity sorting priority to extract a target commodity for display specifically includes:
matching the entry area based on the item ordering priority to identify entry items in a corresponding order for display;
matching the conventional regions based on the commodity ordering priorities to identify conventional commodities in a corresponding order for display;
matching the eye-catching regions based on the commodity sorting priority to identify specific commodities in a corresponding order for display;
the target commodity is obtained based on the inlet commodity, the conventional commodity and the specific commodity.
In this scheme, the matching the target area based on the shelf sorting priority to update the target shelf sorting in the target area specifically includes:
matching the entry area based on the racking ordering priority to identify a first racking ordering of the entry area;
matching the regular area based on the shelving rank priority to identify a second shelving rank for the regular area;
matching the eye-catching region based on the shelf-sorting priority to identify a third shelf-sorting of the eye-catching region;
obtaining the target shelf ordering based on the first shelf ordering, the second shelf ordering, and the third shelf ordering.
In the scheme, the method further comprises the step of obtaining commodity position updating data so as to adjust the shelf sequencing and/or commodity display.
The second aspect of the present invention further provides a virtual space shelf goods arrangement system, including a memory and a processor, where the memory includes a virtual space shelf goods arrangement method program, and when the virtual space shelf goods arrangement method program is executed by the processor, the virtual space shelf goods arrangement system realizes the following steps:
acquiring the priority of goods on a shelf, wherein the priority of goods on the shelf comprises the priority of goods on the shelf and the priority of goods on the shelf;
identifying different target areas set within a virtual space, matching the shelf item priorities based on the target areas, wherein,
matching the target area based on the commodity sequencing priority to extract a target commodity for display;
matching the target area based on the shelf-ordering priority to update a target shelf ordering within the target area.
In this scheme, the obtaining of the shelf commodity priority, wherein the shelf commodity priority includes a shelf sorting priority and a commodity sorting priority, and specifically includes:
acquiring the commodity attribute and the shelf type in the cube capsule;
identifying a shelf ordering to which the goods in the current cube capsule belong based on the shelf type, thereby identifying the corresponding shelf ordering priority based on the shelf ordering;
and identifying the commodity sequence to which the commodities in the current cube capsule belong based on the commodity attributes, so as to identify the corresponding commodity sequence priority based on the commodity sequence.
In this scheme, the identifying different target areas set in the virtual space, based on the target areas matching the priority of the goods on shelves specifically includes:
identifying different target areas based on area numbers in a virtual space, wherein the target areas at least comprise an entrance area, a regular area and a highlight area;
matching the target area based on the shelf item priority includes matching the entry area based on the shelf item priority, and/or matching the regular area based on the shelf item priority, and/or matching the eye-catching area based on the shelf item priority.
In this scheme, the matching the target area based on the commodity sorting priority to extract a target commodity for display specifically includes:
matching the entry area based on the item ordering priority to identify entry items in a corresponding order for display;
matching the conventional areas based on the commodity sequencing priorities to identify conventional commodities in a corresponding sequence for display;
matching the eye-catching regions based on the commodity sorting priority to identify specific commodities in a corresponding order for display;
the target commodity is obtained based on the inlet commodity, the conventional commodity and the specific commodity.
In this scheme, the matching the target area based on the shelf sorting priority to update the target shelf sorting in the target area specifically includes:
matching the entry area based on the racking ordering priority to identify a first racking ordering of the entry area;
matching the regular area based on the shelving rank priority to identify a second shelving rank for the regular area;
matching the eye-catching region based on the shelf-sorting priority to identify a third shelf-sorting of the eye-catching region;
obtaining the target shelf ordering based on the first shelf ordering, the second shelf ordering, and the third shelf ordering.
In the scheme, the method further comprises the step of obtaining commodity position updating data so as to adjust the shelf sequencing and/or commodity display.
A third aspect of the present invention provides a computer-readable storage medium including a program of a virtual space shelf article arrangement method of a machine, which when executed by a processor, implements the steps of a virtual space shelf article arrangement method as recited in any one of the above.
According to the commodity arrangement method, the commodity arrangement system and the readable storage medium for the virtual space shelf, the position of the whole shelf can be adjusted, the position of a single commodity on the shelf can be adjusted, and compared with the position under a line, the updating speed on the line is high, and the data return is accurate; compared with a traditional mode of recording commodity coordinates in a line supermarket, the method is more convenient and efficient. Through user's action, the automatic adjustment goods improves whole sales.
Drawings
FIG. 1 illustrates a flow chart of a virtual space shelf merchandise arrangement method of the present invention;
FIG. 2 illustrates a block diagram of a virtual space shelf merchandise arrangement system of the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
Fig. 1 shows a flowchart of a virtual space shelf goods arrangement method according to the present application.
As shown in fig. 1, the present application discloses a virtual space shelf goods arrangement method, comprising the steps of:
s102, acquiring shelf commodity priorities, wherein the shelf commodity priorities comprise shelf sequencing priorities and commodity sequencing priorities;
s104, identifying different target areas arranged in a virtual space, and matching the priority of the goods on shelves based on the target areas;
s106, matching the target area based on the commodity sequencing priority to extract a target commodity for display;
s108, matching the target area based on the shelf sorting priority to update the target shelf sorting in the target area.
It should be noted that, in this embodiment, different target areas are matched by obtaining the priority of the shelf product, and the product may be sorted, ordered, and displayed, where the priority of the shelf product and the target area are obtained, the priority of the shelf product includes the priority of the shelf sorting and the priority of the product sorting, the target area includes, for example, an inlet area, a conventional area, and a striking area, and different areas are matched based on the priority of the shelf product, so that different product display data and different shelf sorting data may be obtained, thereby achieving the purpose of conveniently and efficiently arranging the product, and improving the efficiency, thereby improving the sales amount.
According to the embodiment of the present invention, the obtaining of the priority of the shelf goods, where the priority of the shelf goods includes a shelf sorting priority and a goods sorting priority, specifically includes:
acquiring the commodity attribute and the shelf type in the cube capsule;
identifying a shelf ordering to which the goods in the current cube capsule belong based on the shelf type, thereby identifying the corresponding shelf ordering priority based on the shelf ordering;
and identifying the commodity sequence to which the commodities in the current cube capsule belong based on the commodity attributes, so as to identify the corresponding commodity sequence priority based on the commodity sequence.
It should be noted that, in this embodiment, when the shelf ordering priority and the commodity ordering priority are obtained, the shelf ordering priority and the commodity ordering priority are specifically obtained according to the commodity attributes and the types of the shelves in the cube capsule, where different commodity attributes correspond to different commodity orderings, so that the commodity ordering priority corresponding to the current commodity can be identified according to the commodity ordering of the commodity attributes in the current cube capsule, for example, the commodity ordering in the commodity attribute of the current commodity is "3", which indicates that the commodity ordering priority corresponding to the current commodity is the third level and needs to be arranged behind the first-level commodity and the second-level commodity; and the shelf types correspond to different shelf orderings, such that a corresponding shelf ordering priority is identified based on the shelf orderings, wherein the shelf types are divided into multiple types, such as fast food shelves, grain and oil rice noodle shelves, kitchen ware shelves, and the like, and the different shelf types correspond to different shelf orderings, wherein the shelf ordering priority of a fast food shelf is higher than the shelf ordering priority of a kitchen ware shelf, and the shelf ordering priority of a kitchen ware shelf is higher than the shelf ordering priority of a grain and oil rice noodle shelf.
According to the embodiment of the present invention, the identifying different target areas set in a virtual space and matching the priority of the goods on shelf based on the target areas specifically includes:
identifying different target areas based on area numbers in a virtual space, wherein the target areas at least comprise an entrance area, a regular area and a highlight area;
matching with the target area based on the shelf item priority includes matching the entrance area based on the shelf item priority, and/or matching the regular area based on the shelf item priority, and/or matching the eye-catching area based on the shelf item priority.
It should be noted that, in this embodiment, the area numbers corresponding to different target areas are different, so the inlet area, the normal area and the eye-catching area can be identified according to the area numbers, for example, the numbers "0A0-0A9" correspond to the inlet area, the numbers "1A1-5A9" correspond to the normal area, and the numbers "0B0-0B9" correspond to the eye-catching area, and when matching is performed based on the shelf product priorities, matching is performed according to different target areas, including matching the inlet area based on the shelf product priorities, matching the normal area based on the shelf product priorities, and/or matching the eye-catching area based on the shelf product priorities.
According to the embodiment of the present invention, the matching the target area based on the commodity sorting priority to extract a target commodity for display specifically includes:
matching the inlet areas based on the commodity sorting priority to identify inlet commodities in a corresponding order for display;
matching the conventional regions based on the commodity ordering priorities to identify conventional commodities in a corresponding order for display;
matching the eye-catching regions based on the commodity sorting priority to identify specific commodities in a corresponding order for display;
the target commodity is obtained based on the inlet commodity, the conventional commodity and the specific commodity.
It should be noted that, in this embodiment, the target commodities include inlet commodities, the regular commodities and the specific commodities, and accordingly, the inlet area is matched based on the commodity sorting priority to identify inlet commodities in a corresponding order, the regular area is matched based on the commodity sorting priority to identify regular commodities in a corresponding order, and the highlight area is matched based on the commodity sorting priority to identify specific commodities in a corresponding order.
According to an embodiment of the present invention, the matching the target area based on the shelf sorting priority to update the target shelf sorting in the target area specifically includes:
matching the entry area based on the racking ordering priority to identify a first racking ordering of the entry area;
matching the regular area based on the shelving rank priority to identify a second shelving rank for the regular area;
matching the eye-catching region based on the shelf-sorting priority to identify a third shelf-sorting of the eye-catching region;
obtaining the target shelf order based on the first shelf order, the second shelf order, and the third shelf order.
It should be noted that, in this embodiment, the target shelf ordering includes the first shelf ordering, the second shelf ordering and the third shelf ordering, wherein the entry area is matched based on the shelf ordering priority to identify the first shelf ordering of the entry area, the regular area is matched based on the shelf ordering priority to identify the second shelf ordering of the regular area, and the eye-catching area is matched based on the shelf ordering priority to identify the third shelf ordering of the eye-catching area.
According to an embodiment of the present invention, the method further comprises obtaining goods location update data to adjust the shelf ordering and/or the display of the goods.
It should be noted that, in this embodiment, when displaying the product, the position of the product may be updated according to the product position update data, so that the shelf ordering and the product display may be adjusted, and the purpose is to perform real-time adjustment according to the input data of the user.
It is worth mentioning that the method further includes obtaining historical data of the user for adaptive adjustment, and specifically includes:
acquiring historical data of a current login user;
sorting based on the historical data to obtain corresponding commodity position updating data;
adjusting the shelf ordering and/or the display of the merchandise based on the merchandise location update data.
It should be noted that, in this embodiment, the above embodiment may perform updating according to the product location update data in the background, and in this embodiment, the adaptive adjustment is performed according to the history data of the logged-in user, and the product location update data is replaced and filled based on the history data of the user, so that the shelf ordering and/or the product display may be adjusted based on the product location update data after replacement and filling.
It is worth mentioning that the method further comprises performing adaptive adjustment based on big data analysis, and specifically comprises:
acquiring commodity sales buried point big data;
browsing data of the commodities and the goods shelves are obtained based on the buried point big data analysis, wherein the browsing data comprise click rate and order quantity;
extracting the previous three commodities of the browsing data in different target areas to fill and update the commodity position updating data;
adjusting the shelf ordering and/or the display of the goods based on the goods location update data after the filling update.
It should be noted that, in this embodiment, data of different click rates and order quantities can be obtained by performing big data analysis on the commodity buried point data, so as to extract the first three digits of the commodity filling and update the commodity position update data, where the first three digits are the first three digits of the commodity filling and update data in which the click rate and the order quantity are sorted based on a preset calculation formula, and after the commodity position update data is automatically filled and updated, correspondingly, the shelf ordering and/or the commodity display also need to be adaptively adjusted.
It is worth mentioning that the step of sorting the click rate and the order quantity based on a preset calculation formula specifically includes:
obtaining the click rate
And said order quantity +>
；
Based on the click rate
And the order quantity->
Inputting the data into the calculation formula to obtain corresponding ranking values
Wherein, the calculation formula is as follows:
wherein the content of the first and second substances,
、/>
and as a parameter factor +>
Is an exponential factor.
It should be noted that, in this embodiment, when the click rate and the order quantity of different products are sorted, since there is a case where the click rate is high but the order quantity is low, the influence of this special case needs to be reduced as much as possible, so this parameter needs to be balanced as much as possible, and the first three products in the browsing data can be obtained after calculation by the calculation formula.
Fig. 2 illustrates a block diagram of a virtual space shelf merchandise arrangement system of the present invention.
As shown in fig. 2, the present invention discloses a virtual space shelf goods arrangement system, which includes a memory and a processor, wherein the memory includes a virtual space shelf goods arrangement method program, and the virtual space shelf goods arrangement method program implements the following steps when executed by the processor:
acquiring the priority of goods on a shelf, wherein the priority of goods on the shelf comprises the priority of goods on the shelf and the priority of goods on the shelf;
identifying different target areas set within a virtual space, matching the shelf good priorities based on the target areas, wherein,
matching the target area based on the commodity sequencing priority to extract a target commodity for display;
matching the target area based on the shelf-ordering priority to update a target shelf ordering within the target area.
It should be noted that, in this embodiment, the goods may be sorted, ordered, arranged, and displayed by acquiring the priority of the shelf goods to match different target areas, where the priority of the shelf goods and the target area are acquired, the priority of the shelf goods includes a shelf sorting priority and a goods sorting priority, the target area includes, for example, an inlet area, a conventional area, and a striking area, and different goods display data and shelf sorting data may be obtained by matching different areas based on the priority of the shelf goods, so that the purpose of convenient and efficient goods arrangement is achieved, and the efficiency is improved, thereby improving the sales amount.
According to the embodiment of the present invention, the obtaining of the priority of the shelf goods, where the priority of the shelf goods includes a shelf sorting priority and a goods sorting priority, specifically includes:
acquiring the commodity attribute and the shelf type in the cube capsule;
identifying a shelf ordering to which the goods in the current cube capsule belong based on the shelf type, thereby identifying the corresponding shelf ordering priority based on the shelf ordering;
and identifying the commodity sequence to which the commodities in the current cube capsule belong based on the commodity attributes, so as to identify the corresponding commodity sequence priority based on the commodity sequence.
It should be noted that, in this embodiment, when the shelf ordering priority and the commodity ordering priority are obtained, the shelf ordering priority and the commodity ordering priority are specifically obtained according to the commodity attributes and the types of the shelves in the cube capsule, where different commodity attributes correspond to different commodity orderings, so that the commodity ordering priority corresponding to the current commodity can be identified according to the commodity ordering of the commodity attributes in the current cube capsule, for example, the commodity ordering in the commodity attribute of the current commodity is "3", which indicates that the commodity ordering priority corresponding to the current commodity is the third level and needs to be arranged behind the first-level commodity and the second-level commodity; and the shelf types correspond to different shelf sequences, so that the corresponding shelf sequence priorities are identified based on the shelf sequences, wherein the shelf types are divided into multiple types, such as fast food shelves, grain and oil rice noodle shelves, kitchen utensil shelves and the like, and the different shelf types correspond to different shelf sequences, wherein the shelf sequence priority of the fast food shelves is higher than that of the kitchen utensil shelves, and the shelf sequence priority of the kitchen utensil shelves is higher than that of the grain and oil rice noodle shelves.
According to the embodiment of the present invention, the identifying different target areas set in a virtual space and matching the priority of the goods on shelf based on the target areas specifically includes:
identifying different target regions based on region numbers within a virtual space, wherein the target regions include at least an entry region, a regular region, and a highlight region;
matching the target area based on the shelf item priority includes matching the entry area based on the shelf item priority, and/or matching the regular area based on the shelf item priority, and/or matching the eye-catching area based on the shelf item priority.
It should be noted that, in this embodiment, the area numbers corresponding to different target areas are different, so the inlet area, the normal area and the eye-catching area can be identified according to the area numbers, for example, the numbers "0A0-0A9" correspond to the inlet area, the numbers "1A1-5A9" correspond to the normal area, and the numbers "0B0-0B9" correspond to the eye-catching area, and when matching is performed based on the shelf product priorities, matching is performed according to different target areas, including matching the inlet area based on the shelf product priorities, matching the normal area based on the shelf product priorities, and/or matching the eye-catching area based on the shelf product priorities.
According to the embodiment of the present invention, the matching the target area based on the commodity sorting priority to extract a target commodity for display specifically includes:
matching the entry area based on the item ordering priority to identify entry items in a corresponding order for display;
matching the conventional regions based on the commodity ordering priorities to identify conventional commodities in a corresponding order for display;
matching the eye-catching regions based on the commodity sorting priority to identify specific commodities in a corresponding order for display;
the target commodity is obtained based on the inlet commodity, the conventional commodity and the specific commodity.
It should be noted that, in this embodiment, the target commodities include inlet commodities, the regular commodities and the specific commodities, and accordingly, the inlet area is matched based on the commodity sorting priority to identify inlet commodities in a corresponding order, the regular area is matched based on the commodity sorting priority to identify regular commodities in a corresponding order, and the highlighted area is matched based on the commodity sorting priority to identify specific commodities in a corresponding order.
According to an embodiment of the present invention, the matching the target area based on the shelf sorting priority to update the target shelf sorting in the target area specifically includes:
matching the entry area based on the racking ordering priority to identify a first racking ordering of the entry area;
matching the regular area based on the shelving rank priority to identify a second shelving rank for the regular area;
matching the eye-catching region based on the shelf-sorting priority to identify a third shelf-sorting of the eye-catching region;
obtaining the target shelf ordering based on the first shelf ordering, the second shelf ordering, and the third shelf ordering.
It should be noted that, in this embodiment, the target shelf ordering includes the first shelf ordering, the second shelf ordering and the third shelf ordering, wherein the entry area is matched based on the shelf ordering priority to identify the first shelf ordering of the entry area, the regular area is matched based on the shelf ordering priority to identify the second shelf ordering of the regular area, and the eye-catching area is matched based on the shelf ordering priority to identify the third shelf ordering of the eye-catching area.
According to an embodiment of the present invention, the method further comprises obtaining goods location update data to adjust the shelf ordering and/or the display of the goods.
It should be noted that, in this embodiment, when displaying the merchandise, the position of the merchandise may be updated according to the merchandise position update data, so that the shelf ordering and the display of the merchandise may be adjusted, and the purpose is to perform real-time adjustment according to the input data of the user.
It should be noted that the method further includes obtaining historical data of the user for adaptive adjustment, which specifically includes:
acquiring historical data of a current login user;
sorting based on the historical data to obtain corresponding commodity position updating data;
adjusting the shelf ordering and/or the display of the merchandise based on the merchandise location update data.
It should be noted that, in this embodiment, the above embodiment may perform updating according to the product location update data in the background, and in this embodiment, the adaptive adjustment is performed according to the history data of the logged-in user, and the product location update data is replaced and filled based on the history data of the user, so that the shelf ordering and/or the product display may be adjusted based on the product location update data after replacement and filling.
It is worth mentioning that the method further comprises performing adaptive adjustment based on big data analysis, and specifically comprises:
acquiring commodity sales buried point big data;
browsing data of the commodities and the goods shelves are obtained based on the buried point big data analysis, wherein the browsing data comprise click rate and order quantity;
extracting the previous three commodities of the browsing data in different target areas to fill and update the commodity position updating data;
adjusting the shelf ordering and/or the display of the goods based on the goods location update data after the filling update.
It should be noted that, in this embodiment, data of different click rates and order quantities can be obtained by performing big data analysis on the commodity buried point data, so as to extract the first three digits of the commodity filling and update the commodity position update data, where the first three digits are the first three digits of the commodity filling and update data in which the click rate and the order quantity are sorted based on a preset calculation formula, and after the commodity position update data is automatically filled and updated, correspondingly, the shelf sorting and/or the commodity display also need to be adaptively adjusted.
It is worth mentioning that the step of sorting the click rate and the order quantity based on a preset calculation formula specifically includes:
obtaining the click rate
And the order quantity->
；
Based on the click rate
And the order quantity->
Inputting the data into the calculation formula to obtain corresponding ranking values
Wherein, the calculation formula is as follows:
wherein the content of the first and second substances,
、/>
and is made ofParameter factor +>
Is an exponential factor.
It should be noted that, in this embodiment, when the click rate and the order quantity of different products are sorted, since there is a case where the click rate is high but the order quantity is low, the influence of this special case needs to be reduced as much as possible, so this parameter needs to be balanced as much as possible, and the first three products in the browsing data can be obtained after calculation by the calculation formula.
A third aspect of the present invention provides a computer-readable storage medium including a program for a virtual space shelf article arrangement method, which when executed by a processor, implements the steps of a virtual space shelf article arrangement method as described in any one of the above.
According to the commodity arrangement method, the commodity arrangement system and the readable storage medium for the virtual space shelf, the position of the whole shelf can be adjusted, the position of a single commodity on the shelf can be adjusted, and compared with the position under a line, the updating speed on the line is high, and the data return is accurate; compared with the traditional mode of recording the commodity coordinates in a line supermarket, the method is more convenient and efficient. Through user's action, the automatic adjustment goods improves whole sales.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit may be implemented in the form of hardware, or in the form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media capable of storing program code.
Claims (10)
1. A virtual space shelf commodity arrangement method is characterized by comprising the following steps:
acquiring shelf commodity priority, wherein the shelf commodity priority comprises shelf sequencing priority and commodity sequencing priority;
identifying different target areas set within a virtual space, matching the shelf good priorities based on the target areas, wherein,
matching the target area based on the commodity sequencing priority to extract a target commodity for display;
matching the target area based on the shelf-ordering priority to update a target shelf ordering within the target area.
2. The virtual space shelf commodity arrangement method according to claim 1, wherein the obtaining shelf commodity priorities, wherein the shelf commodity priorities include a shelf ordering priority and a commodity ordering priority, specifically including:
acquiring the commodity attribute and the shelf type in the cube capsule;
identifying the shelf sorting to which the commodities in the current cube capsule belong based on the shelf type, so as to identify the corresponding shelf sorting priority based on the shelf sorting;
and identifying the commodity sequence to which the commodities in the current cube capsule belong based on the commodity attributes, so as to identify the corresponding commodity sequence priority based on the commodity sequence.
3. The method as claimed in claim 2, wherein the identifying different target areas set in the virtual space, and matching the priority of the shelf goods based on the target areas specifically comprises:
identifying different target areas based on area numbers in a virtual space, wherein the target areas at least comprise an entrance area, a regular area and a highlight area;
matching the target area based on the shelf item priority includes matching the entry area based on the shelf item priority, and/or matching the regular area based on the shelf item priority, and/or matching the eye-catching area based on the shelf item priority.
4. The method as claimed in claim 3, wherein said matching the target area based on the product sorting priority to extract the target product for display specifically comprises:
matching the entry area based on the item ordering priority to identify entry items in a corresponding order for display;
matching the conventional regions based on the commodity ordering priorities to identify conventional commodities in a corresponding order for display;
matching the eye-catching regions based on the commodity sorting priority to identify specific commodities in a corresponding order for display;
the target commodity is obtained based on the inlet commodity, the conventional commodity and the specific commodity.
5. The method according to claim 3, wherein the matching the target area based on the shelf ordering priority to update the target shelf ordering in the target area comprises:
matching the entry area based on the shelving rank priority to identify a first shelving rank for the entry area;
matching the regular area based on the shelving rank priority to identify a second shelving rank for the regular area;
matching the eye-catching region based on the shelf-sorting priority to identify a third shelf-sorting of the eye-catching region;
obtaining the target shelf ordering based on the first shelf ordering, the second shelf ordering, and the third shelf ordering.
6. The method of claim 1, further comprising obtaining item location update data to adjust shelf ordering and/or display of items.
7. A virtual space shelf goods arrangement system is characterized by comprising a memory and a processor, wherein the memory comprises a virtual space shelf goods arrangement method program, and the virtual space shelf goods arrangement method program realizes the following steps when being executed by the processor:
acquiring the priority of goods on a shelf, wherein the priority of goods on the shelf comprises the priority of goods on the shelf and the priority of goods on the shelf;
identifying different target areas set within a virtual space, matching the shelf good priorities based on the target areas, wherein,
matching the target area based on the commodity sequencing priority to extract a target commodity for display;
matching the target area based on the shelf-ordering priority to update a target shelf ordering within the target area.
8. The virtual space shelf commodity arrangement system according to claim 7, wherein the acquiring shelf commodity priorities, wherein the shelf commodity priorities include a shelf ordering priority and a commodity ordering priority, and specifically include:
acquiring commodity attributes and goods shelf types in the cube capsule;
identifying the shelf sorting to which the commodities in the current cube capsule belong based on the shelf type, so as to identify the corresponding shelf sorting priority based on the shelf sorting;
and identifying the commodity sequence to which the commodities in the current cube capsule belong based on the commodity attributes, so as to identify the corresponding commodity sequence priority based on the commodity sequence.
9. The system according to claim 8, wherein the identifying different target areas set in the virtual space and matching the shelf product priorities based on the target areas specifically comprises:
identifying different target areas based on area numbers in a virtual space, wherein the target areas at least comprise an entrance area, a regular area and a highlight area;
matching the target area based on the shelf item priority includes matching the entry area based on the shelf item priority, and/or matching the regular area based on the shelf item priority, and/or matching the eye-catching area based on the shelf item priority.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium includes a program of a virtual space shelf merchandise arrangement method, which when executed by a processor, implements the steps of a virtual space shelf merchandise arrangement method according to any one of claims 1 to 6.
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