CN113592384B - Method for realizing quick distribution of electronic commerce, electronic equipment and storage medium - Google Patents
Method for realizing quick distribution of electronic commerce, electronic equipment and storage medium Download PDFInfo
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Abstract
The application provides a method, electronic equipment and storage medium for realizing quick distribution of electronic commerce. And tiling the commodity quantity corresponding to the estimated sales to a corresponding website warehouse. After receiving order information of a user, matching corresponding website warehouses according to delivery addresses of the order information so as to deliver commodities represented by the order information to the user.
Description
Technical Field
The present application relates to the field of internet service processing technologies, and in particular, to a method, an electronic device, and a storage medium for implementing quick delivery of an electronic commerce.
Background
In the prior art, the current design logic of platforms such as Beijing east and Taobao is to design dozens of large warehouses nationally, and the coverage range of each warehouse is different, such as a south China warehouse and a north China warehouse of Beijing east. In this range, some users 'receiving addresses are several hundred kilometers away from these large warehouses, and some users' receiving addresses are only several tens kilometers away from these large warehouses, after the users place orders, they match to the corresponding warehouses, and then deliver the goods to the user's receiving addresses via logistics, and because of the different distances, some users' goods delivery times are shorter, while the goods delivery times of users who are far away are longer, and if a sales promotion period is encountered, the delivery times are also prolonged.
Disclosure of Invention
The application provides a method, electronic equipment and a storage medium for realizing quick delivery of electronic commerce, which are used for solving the problem of long commodity delivery time in the prior art and realizing quick delivery of commodities.
The application provides a method for realizing quick distribution of electronic commerce, which comprises the following steps:
establishing a mesh point warehouse address model according to the off-line mesh point address and mesh point coverage range;
acquiring the purchase collection conversion rate and the visitor conversion rate of a user based on each commodity in each network point warehouse address range of the network point warehouse address model;
acquiring the collection number of the commodity in a preset time length before the next sales promotion, and presetting the visitor flow of the commodity on the current day of the sales promotion;
determining the expected sales volume in the current site warehouse address range according to the purchasing collection conversion rate, the visitor conversion rate, the collection number and the visitor flow;
tiling the commodity quantity corresponding to the estimated sales to a corresponding website warehouse;
and receiving order information of the user, and matching corresponding website warehouses according to the delivery address of the order information so as to deliver commodities represented by the order information to the user.
According to the method for realizing quick distribution of the E-commerce, the step of determining the expected sales volume in the current site warehouse address range according to the purchasing collection conversion rate, the visitor conversion rate, the collection number and the visitor flow comprises the following steps:
the estimated sales in the current site warehouse address range is marked as Y, the purchasing collection conversion rate is marked as A, the collection number is marked as a, the visitor conversion rate is marked as B, and the visitor flow on the same day is marked as B; the projected sales Y is the sum of the collection number a and the product of the additional collection conversion A and the product of the current day visitor flow B and visitor conversion B.
According to the method for realizing quick delivery of electronic commerce provided by the application, the step of matching the delivery address according to the order information with the corresponding website warehouse to deliver the commodity represented by the order information to the user comprises the following steps:
determining a corresponding mesh point warehouse matched with the delivery address;
determining an actual inventory quantity of the commodity in the website warehouse;
if the actual stock quantity is larger than the ex-warehouse quantity contained in the order information, executing ex-warehouse of the ex-warehouse quantity corresponding to the order information and reducing the corresponding actual stock quantity according to the ex-warehouse quantity;
and delivering the goods which are delivered out of the warehouse to the delivery address.
According to the method for realizing quick distribution of electronic commerce provided by the application, the step of tiling the commodity quantity corresponding to the estimated sales to the corresponding website warehouse comprises the following steps:
determining a large warehouse model according to the large warehouse address and the large warehouse coverage area;
determining a large warehouse in the large warehouse model corresponding to the corresponding site warehouse;
and conveying the commodity quantity corresponding to the estimated sales from the large warehouse to a corresponding website warehouse.
According to the method for realizing quick distribution of electronic commerce provided by the application, the method for conveying the commodity quantity corresponding to the estimated sales volume from the large warehouse to the corresponding website warehouse comprises the following steps:
determining the inventory quantity of the commodity in the corresponding large warehouse matched with the network point warehouse;
if the stock quantity is larger than the expected sales quantity, carrying out the commodity ex-warehouse corresponding to the expected sales quantity and reducing the corresponding stock quantity according to the expected sales quantity;
and delivering the goods which are delivered to the warehouse at the network site.
According to the method for realizing quick distribution of the electronic commerce, the visitor flow on the same day is the predicted visitor flow on the same day predicted according to the visitor flow data on the same day of the past year.
According to the method for realizing quick distribution of the electronic commerce, the preset time length is 7-14 days before a sales promotion.
According to the method for realizing quick distribution of the E-commerce, the website warehouse model comprises a website coverage range, a website code and a place name of each off-line website address.
The application also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the steps of the method for implementing quick distribution of electronic commerce as described in each of the above.
The present application also provides a storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method of achieving e-commerce quick distribution as described in each of the above.
According to the method, the electronic equipment and the storage medium for realizing quick distribution of the electronic commerce, the off-line website address is used as the website warehouse to establish the website warehouse address model, and the estimated sales volume in the current website warehouse address range is determined according to the purchasing collection conversion rate, the visitor conversion rate, the collection number and the visitor flow, and then the commodity quantity corresponding to the estimated sales volume is tiled to the corresponding website warehouse. After receiving the order information of the user, matching the corresponding network point warehouse according to the delivery address of the order information so as to deliver the commodity represented by the order information to the user.
Drawings
In order to more clearly illustrate the application or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the application, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for realizing quick delivery of an electronic commerce system according to the present application;
FIG. 2 is a second flow chart of the method for realizing quick distribution of electronic commerce according to the present application;
FIG. 3 is a third flow chart of the method for realizing quick distribution of electronic commerce according to the present application;
FIG. 4 is a flowchart illustrating a method for implementing quick delivery of electronic commerce according to the present application;
fig. 5 is a schematic structural diagram of an electronic device provided by the present application;
reference numerals:
810: a processor; 820: a communication interface; 830: a memory;
840: a communication bus;
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The following describes a method for realizing quick delivery of an electronic commerce according to the present application with reference to fig. 1 to 4, where the method for realizing quick delivery of an electronic commerce includes:
s1, establishing a mesh point warehouse address model according to an off-line mesh point address and mesh point coverage range;
the off-line network point can be an entity store, a franchise allied store, a terminal after-sales service store or a terminal distribution network point of the electric commodity brand, and the address of the off-line network point address can be distinguished according to actual conditions, for example, in a certain province, the off-line network point of a city level, the off-line network point of a district level and the off-line network point of a town level exist, so that when the current wheel network point warehouse address model is built, the model building can be flexibly carried out by adopting any one or two of the off-line network point, the off-line network point of the city level, the off-line network point of the district level and the off-line network point of the town level, for example, the off-line network point of the district level is distinguished from the off-line network point of the city, and the off-line network point of the town level is taken as the off-line network point of the district level, and the whole coverage network point address model of the warehouse is fully built. Therefore, the receiving address of each user is ensured to be included in the model, and the establishment of a comprehensive site warehouse address model is realized. At this time, in the range covered by the off-line network points of the town level and the off-line network points of the district level, the delivery time from any one point to the off-line network points does not exceed the time for delivering goods from the large warehouse, so that the built network point warehouse address model based on the off-line network points can provide good model support for realizing rapid delivery. Optionally, the mesh point warehouse model includes, but is not limited to, mesh point coverage of each off-line mesh point address, mesh point address code, and place name.
S2, acquiring the purchase collection conversion rate and the visitor conversion rate of a user based on each commodity in each network point warehouse address range of the network point warehouse address model;
the network site warehouse address range of each network site warehouse address model is determined based on the current location address of the user or the default address of the user, at this time, the option of selecting the receiving address by the user can be added in the user system to determine the receiving address of the user, and based on each commodity, the purchase collection conversion rate of the user can be determined by the purchase collection data of the past year and the actual number of the purchase collection user, in the first case, the predicted purchase collection conversion rate of the present year = the actual number of the purchase collection user/the last year purchase collection data. In the second case, based on the predicted acquisition conversion rate of the present year, the growth rate of the acquisition conversion rate is further corrected, specifically: the growth rate of the purchase collection conversion is obtained by integrating data of a plurality of years, and the purchase collection conversion of the year is predicted to be the product of the growth rate and the purchase collection conversion of the last year. Similarly, guest conversion is determined by the number of guests last year and the actual number of guests last year, in the first case, the predicted guest conversion of the present year = the number of guests last year/the actual number of guests ordered last year. In the second case, the increase rate of guest conversion rate may be modified based on the predicted guest conversion rate of the present year, specifically: the data of several years are combined to obtain the increase rate of the guest conversion rate, and the guest conversion rate in the year is predicted to be the product of the increase rate and the guest conversion rate in the last year.
By the method, approximate prediction of the purchase collection conversion rate and the visitor conversion rate can be realized, and the reliability of data is improved.
S3, acquiring the collection number of the commodity in a preset time length before the next sales promotion, and presetting the visitor flow of the commodity on the current day of the sales promotion;
the collection number in the preset time period can be selected according to practical situations, such as collection number in 7-14 days before the sales promotion, collection number in 4-7 or other time periods, and the step is mainly to determine the purchase intention of the user. The visitor flow of the commodity on the day of the preset sales promotion can be estimated by data of the past year or data in the preset time length, and commodity allocation is performed in advance. Thereby completing stock in advance. Optionally, the current day visitor traffic is current day predicted visitor traffic predicted from current year current day visitor traffic data. In addition, the visitor flow on the current day can be collected on the great promotion day to predict the predicted sales of each commodity at each website in time, and the commodity inventory can be supplemented and called in time.
S4, determining the expected sales in the current site warehouse address range according to the purchasing collection conversion rate, the visitor conversion rate, the collection number and the visitor flow;
by determining the expected sales in the current site warehouse address range through the purchasing collection conversion rate, the visitor conversion rate, the collection number and the visitor flow, reasonable site warehouse inventory storage can be performed for each commodity. Realizing accurate goods adjustment.
S5, tiling the commodity quantity corresponding to the estimated sales to a corresponding website warehouse;
and S6, receiving order information of the user, and matching corresponding website warehouses according to the delivery address of the order information so as to deliver commodities represented by the order information to the user.
In the scheme, the network point warehouse address model is built for the offline network point addresses, the expected sales of any commodity in the area covered by each network point warehouse address is predicted, and then the commodity corresponding to the expected sales is allocated to the network point warehouse address in advance, so that after the order information of a user is acquired, the commodity can be delivered to the hand of the user through the delivery of a shorter distance, the delivery distance of the commodity ordered by the user can be reduced to the range covered by the offline network point address, and the commodity does not need to be regulated from a large warehouse, thereby shortening the delivery time of the commodity and realizing the rapid delivery of the commodity.
In one embodiment, the step of determining the estimated sales in the current site repository address range according to the purchase collection conversion, guest conversion, collection count, and guest traffic includes:
the estimated sales in the current site warehouse address range is marked as Y, the purchasing collection conversion rate is marked as A, the collection number is marked as a, the visitor conversion rate is marked as B, and the visitor flow on the same day is marked as B; the projected sales Y is the sum of the collection number a and the product of the additional collection conversion A and the product of the current day visitor flow B and visitor conversion B.
I.e. y=a+b.
By the formula, the estimated sales of any commodity in the current site warehouse address range can be predicted in a period of time before the commodity is greatly promoted, and the commodity inventory can be accurately regulated and controlled, so that the subsequent distribution time is shortened.
In one embodiment, referring to fig. 2, the step of matching the delivery address according to the order information with the corresponding website warehouse to deliver the commodity represented by the order information to the user includes:
s61, determining a corresponding mesh point warehouse matched with the delivery address;
at this time, intelligent matching can be realized by the place name in the site warehouse address model. For example, if the site repository address model is a town level, then the confirmation of the site repository may be achieved if the place name matches the town level.
S62, determining the actual stock quantity of the commodity in the website warehouse;
s63, if the actual stock quantity is larger than the ex-warehouse quantity contained in the order information, executing ex-warehouse of the ex-warehouse quantity corresponding to the order information and reducing the corresponding actual stock quantity according to the ex-warehouse quantity;
and S64, delivering the goods which are delivered out of the warehouse to the delivery address.
Through the scheme, the automatic management of the inventory quantity of each commodity in each site warehouse address is realized, when the actual inventory quantity is smaller than or equal to the ex-warehouse quantity contained in the order information, prompt information is required to be sent to site warehouse management personnel, a previous-stage warehouse or commodity manufacturers so as to realize inventory supplement, production quantity supplement and quantity allocation of lacking commodities, and the capacity adjustment of the commodity manufacturers is facilitated, so that the intelligent management of the commodity quantity is realized.
In one embodiment, referring to fig. 3, the step of tiling the quantity of the commodity corresponding to the estimated sales to the corresponding website warehouse includes:
s51, determining a large warehouse model according to the large warehouse address and the large warehouse coverage area;
the large-scale warehouse refers to the last-level warehouse of the site warehouse address, and when the site is divided into a village level and a town level, the last level can be a provincial level or a large-area level, and the large-area level is generally divided into south China, north China and other differentiating modes in China.
S52, determining a large warehouse in the large warehouse model corresponding to the corresponding site warehouse;
at this time, the network point warehouse is associated with the large warehouse according to the distribution range covered by the large warehouse model. Such as a large warehouse at a province level, contains all of the site warehouses at the town level and the zone level within the province.
And S53, conveying the commodity quantity corresponding to the estimated sales from the large warehouse to a corresponding website warehouse.
Through the process, the inventory allocation from the large warehouse to the site warehouse can be realized, so that the goods storage of the site warehouse is realized rapidly.
In one embodiment, referring to FIG. 4, the shipping the quantity of goods corresponding to the projected sales volume from the large warehouse to the corresponding grid site warehouse comprises:
s531, determining the inventory quantity of the commodity in the large warehouse matched with the network point warehouse;
s532, if the stock quantity is larger than the expected sales quantity, commodity corresponding to the expected sales quantity is carried out to be delivered out, and the corresponding stock quantity is reduced according to the expected sales quantity;
and S533, delivering the goods which are delivered to the warehouse to the network site warehouse.
Through the scheme, the automatic management of the inventory quantity of each commodity in each large warehouse is realized, when the actual inventory quantity is smaller than or equal to the inventory quantity contained in the commodity quantity with the estimated sales quantity, prompt information is required to be sent to large warehouse managers or commodity manufacturers so as to realize the inventory supplement, the production quantity supplement and the quantity allocation of the lacking commodity, and the capacity adjustment of the commodity manufacturers is convenient, so that the intelligent management of the commodity quantity is realized.
Therefore, in the application, a network point warehouse address model is built for the offline network point address, wherein the distribution time of the network point warehouse address model is within a preset time period, the commodity corresponding to the expected sales volume is allocated to the network point warehouse address in advance, after the order information of the user is acquired, the commodity can be delivered to the user through the distribution of a shorter distance, the distribution distance of the commodity ordered by the user can be reduced to the range covered by the offline network point address, and the distribution of the commodity is not required to be regulated from a large warehouse, thereby shortening the distribution time of the commodity and realizing the rapid distribution of the commodity.
The electronic device provided by the application is described below, and the electronic device described below and the method for realizing quick delivery of the electronic commerce described above can be referred to correspondingly.
Fig. 5 illustrates a physical schematic diagram of an electronic device, as shown in fig. 5, which may include: processor 810, communication interface (Communications Interface) 820, memory 830, and communication bus 840, wherein processor 810, communication interface 820, memory 830 accomplish communication with each other through communication bus 840. The processor 810 may invoke logic instructions in the memory 830 to perform a method of enabling e-commerce quick dispatch, the method comprising: s1, establishing a mesh point warehouse address model according to an off-line mesh point address and mesh point coverage range;
acquiring the purchase collection conversion rate and the visitor conversion rate of a user based on each commodity in each network point warehouse address range of the network point warehouse address model;
s2, acquiring the collection number of the commodity in a preset time length before the next sales promotion, and presetting the visitor flow of the commodity on the current day of the sales promotion;
s3, determining the expected sales in the current site warehouse address range according to the purchasing collection conversion rate, the visitor conversion rate, the collection number and the visitor flow;
s4, tiling the commodity quantity corresponding to the estimated sales to a corresponding website warehouse;
s5, receiving order information of the user, and matching corresponding website warehouses according to the delivery address of the order information so as to deliver commodities represented by the order information to the user.
Further, the logic instructions in the memory 830 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, the present application also provides a computer program product, the computer program product including a computer program stored on a storage medium, the computer program including program instructions, which when executed by a computer, enable the computer to perform the method for implementing quick delivery of electronic commerce provided by the methods described above, the method comprising: s1, establishing a mesh point warehouse address model according to an off-line mesh point address and mesh point coverage range;
acquiring the purchase collection conversion rate and the visitor conversion rate of a user based on each commodity in each network point warehouse address range of the network point warehouse address model;
s2, acquiring the collection number of the commodity in a preset time length before the next sales promotion, and presetting the visitor flow of the commodity on the current day of the sales promotion;
s3, determining the expected sales in the current site warehouse address range according to the purchasing collection conversion rate, the visitor conversion rate, the collection number and the visitor flow;
s4, tiling the commodity quantity corresponding to the estimated sales to a corresponding website warehouse;
s5, receiving order information of the user, and matching corresponding website warehouses according to the delivery address of the order information so as to deliver commodities represented by the order information to the user.
In still another aspect, the present application further provides a storage medium having stored thereon a computer program which when executed by a processor is implemented to perform the above-provided methods of achieving e-commerce quick distribution, the method comprising: s1, establishing a mesh point warehouse address model according to an off-line mesh point address and mesh point coverage range;
acquiring the purchase collection conversion rate and the visitor conversion rate of a user based on each commodity in each network point warehouse address range of the network point warehouse address model;
s2, acquiring the collection number of the commodity in a preset time length before the next sales promotion, and presetting the visitor flow of the commodity on the current day of the sales promotion;
s3, determining the expected sales in the current site warehouse address range according to the purchasing collection conversion rate, the visitor conversion rate, the collection number and the visitor flow;
s4, tiling the commodity quantity corresponding to the estimated sales to a corresponding website warehouse;
s5, receiving order information of the user, and matching corresponding website warehouses according to the delivery address of the order information so as to deliver commodities represented by the order information to the user.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present application without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims (9)
1. A method for implementing fast distribution of electronic commerce, comprising:
establishing a mesh point warehouse address model according to the off-line mesh point address and mesh point coverage range;
acquiring the purchase collection conversion rate and the visitor conversion rate of a user based on each commodity in each network point warehouse address range of the network point warehouse address model;
acquiring the collection number of the commodity in a preset time length before the next sales promotion, and presetting the visitor flow of the commodity on the current day of the sales promotion;
determining the expected sales volume in the current site warehouse address range according to the purchasing collection conversion rate, the visitor conversion rate, the collection number and the visitor flow;
tiling the commodity quantity corresponding to the estimated sales to a corresponding website warehouse;
receiving order information of a user, and matching corresponding website warehouses according to delivery addresses of the order information so as to distribute commodities represented by the order information to the user, wherein the step of determining the expected sales in the current website warehouse address range according to the purchase collection conversion rate, the visitor conversion rate, the collection number and the visitor flow comprises the following steps:
the estimated sales in the current site warehouse address range is marked as Y, the purchasing collection conversion rate is marked as A, the collection number is marked as a, the visitor conversion rate is marked as B, and the visitor flow on the same day is marked as B; the projected sales Y is the sum of the collection number a and the product of the additional collection conversion A and the product of the current day visitor flow B and visitor conversion B.
2. The method for realizing quick delivery of electronic commerce according to claim 1, wherein the step of matching delivery addresses according to the order information with corresponding website warehouses to deliver the commodity represented by the order information to the user comprises:
determining a corresponding mesh point warehouse matched with the delivery address;
determining an actual inventory quantity of the commodity in the website warehouse;
if the actual stock quantity is larger than the ex-warehouse quantity contained in the order information, executing ex-warehouse of the ex-warehouse quantity corresponding to the order information and reducing the corresponding actual stock quantity according to the ex-warehouse quantity;
and delivering the goods which are delivered out of the warehouse to the delivery address.
3. The method for enabling quick distribution by an electronic commerce according to claim 1, wherein said step of tiling the number of goods corresponding to said estimated sales volume to the corresponding website warehouse comprises:
determining a large warehouse model according to the large warehouse address and the large warehouse coverage area;
determining a large warehouse in the large warehouse model corresponding to the corresponding site warehouse;
and conveying the commodity quantity corresponding to the estimated sales from the large warehouse to a corresponding website warehouse.
4. The method of effecting quick delivery of an e-commerce according to claim 3, wherein said transporting the quantity of goods corresponding to the projected sales volume from the large warehouse to the corresponding website warehouse comprises:
determining the inventory quantity of the commodity in the corresponding large warehouse matched with the network point warehouse;
if the stock quantity is larger than the expected sales quantity, carrying out the commodity ex-warehouse corresponding to the expected sales quantity and reducing the corresponding stock quantity according to the expected sales quantity;
and delivering the goods which are delivered to the warehouse at the network site.
5. The method for realizing quick dispatch by an electronic commerce facility according to claim 1, wherein the visitor traffic on the same day is predicted visitor traffic on the same day predicted from visitor traffic data on the same day of the past year.
6. The method for enabling quick distribution by an electronic commerce according to claim 1, wherein the predetermined length of time is 7-14 days before the promotional program.
7. The method of any of claims 1-6, wherein the site warehouse model includes site coverage, site code, and location name for each off-line site address.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor performs the steps of the method of achieving fast distribution of electronic commerce according to any one of claims 1 to 7 when the program is executed.
9. A storage medium having stored thereon a computer program, which when executed by a processor, performs the steps of the method of achieving e-commerce quick distribution as claimed in any one of claims 1 to 7.
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