CN112668745B - Order distribution aging estimation method, device and equipment - Google Patents

Order distribution aging estimation method, device and equipment Download PDF

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Publication number
CN112668745B
CN112668745B CN201910977678.8A CN201910977678A CN112668745B CN 112668745 B CN112668745 B CN 112668745B CN 201910977678 A CN201910977678 A CN 201910977678A CN 112668745 B CN112668745 B CN 112668745B
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order
time
determining
line
destination
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CN112668745A (en
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仝淑雅
陈志文
张诺
黄妍丹
史玉成
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SF Technology Co Ltd
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SF Technology Co Ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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    • Y02P90/30Computing systems specially adapted for manufacturing

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Abstract

The order distribution aging estimation method comprises the following steps: acquiring order information to be estimated, wherein the order information comprises order mail time, an origin and a destination; determining one or more lines corresponding to the order information according to the origin and the destination; screening historical orders matched with the line and the order mail sending time from the historical orders; and determining the distribution timeliness corresponding to the line of the order information to be estimated according to the time consumption of the screened historical order. By determining a specific line and specific order sending time, historical orders are screened, and distribution timeliness is determined according to the screened historical orders, so that the accuracy of order distribution timeliness can be effectively improved, and the user experience is improved.

Description

Order distribution aging estimation method, device and equipment
Technical Field
The application belongs to the technical field of logistics, and particularly relates to a method, a device and equipment for estimating order distribution timeliness.
Background
With the development of electronic commerce, more and more consumers purchase goods through a shopping platform. The user can select favorite articles at will in the intelligent terminal, and after the user places an order, the merchant can distribute the articles purchased by the user to the user through the logistics platform. Or, the user can select the logistics platform to send the articles to the specific user according to the needs of the user.
Delivery time is often of particular concern after a user posts a piece, or while waiting for a piece to be received. The logistics platform usually determines the distribution timeliness based on the static route, and due to the change of the distribution route, the actual distribution time and the estimated distribution timeliness may deviate, and the estimated distribution timeliness is low in accuracy, so that the use experience of a user is not improved.
Disclosure of Invention
In view of this, the embodiments of the present application provide a method, an apparatus, and a device for estimating the delivery timeliness of an order, so as to solve the problem that in the prior art, when the delivery timeliness of the order is estimated, the estimated delivery timeliness is not high in precision, which is not beneficial to improving the user experience.
A first aspect of an embodiment of the present application provides a delivery aging estimation method, including:
acquiring order information to be estimated, wherein the order information comprises order mail time, an origin and a destination;
determining one or more lines corresponding to the order information according to the origin and the destination;
screening historical orders matched with the line and the order mail sending time from the historical orders;
and determining the distribution timeliness corresponding to the line of the order information to be estimated according to the time consumption of the screened historical order.
With reference to the first aspect, in a first possible implementation manner of the first aspect, the step of determining, according to the time consumption of the filtered historical order, a distribution age corresponding to the line of the order information to be estimated includes:
acquiring the time for the screened historical orders to be put in, and sequencing the distribution time consumption of the screened historical orders according to the time for the put in;
and selecting the time corresponding to the situation that the ratio of the number of the tall-put historical orders is larger than a preset value according to the sorting, and taking the time as the distribution timeliness corresponding to the line of the order information.
With reference to the first aspect, in a second possible implementation manner of the first aspect, the step of determining, according to the origin and the destination, one or more lines corresponding to the order information includes:
determining a transfer field searching range according to the origin, and searching a transfer field according to the transfer field searching range;
and determining the line corresponding to the order information according to the line corresponding to the searched transfer place.
With reference to the first aspect, in a third possible implementation manner of the first aspect, the step of screening the historical order that matches the line and the order sending time includes:
when the searched line does not cover all the areas included by the destination of the order, determining the first time of the order reaching the transfer field according to the order mail sending time;
determining a second time for stowing flow to all areas covering the destination after a first time when the order arrives at a staging area according to the first time;
and screening and matching in the historical orders according to the determined line and the time ranges determined by the first time and the second time.
With reference to the first aspect, in a fourth possible implementation manner of the first aspect, the step of screening the historical order that matches the line and the order sending time includes:
when the searched route comprises a flight route, searching the earliest departure time of the route corresponding to the destination according to the picking end time of the flight;
and screening and matching in the historical orders according to the determined line and the searched earliest departure time.
With reference to the first aspect, in a fifth possible implementation manner of the first aspect, the step of searching for a departure time of an earliest departure corresponding to the destination according to a pick-up end time after the flight falls includes:
when the flight has an delay, determining the landing time after the flight delay;
determining the picking end time of the goods according to the landing time;
and searching the earliest departure time of the route corresponding to the destination after the pick-up ending time.
With reference to the first aspect, the first possible implementation manner of the first aspect, the second possible implementation manner of the first aspect, the third possible implementation manner of the first aspect, the fourth possible implementation manner of the first aspect, or the fifth possible implementation manner of the first aspect, in a sixth possible implementation manner of the first aspect, the distribution timeliness determines, according to the number of days corresponding to the time consumption of the filtered historical order, the distribution timeliness corresponding to the order information.
A second aspect of embodiments of the present application provides a delivery age estimation device, including:
an order information acquisition unit for acquiring order information to be estimated, wherein the order information comprises order mail time, origin and destination;
a line determining unit, configured to determine one or more lines corresponding to the order information according to the origin and the destination;
the historical order matching unit is used for screening historical orders matched with the line and the order mail sending time from the historical orders;
and the distribution timeliness determining unit is used for determining the distribution timeliness corresponding to the line of the order information to be estimated according to the time consumption of the screened historical order.
A third aspect of an embodiment of the present application provides an apparatus for estimating the delivery age of an order, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method for estimating the delivery age of an order according to any of the first aspects when the computer program is executed.
A fourth aspect of the embodiments of the present application provides a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the method for estimating delivery age of an order according to any of the first aspects.
Compared with the prior art, the embodiment of the application has the beneficial effects that: after the order information is acquired, one or more lines corresponding to the order information are determined according to the origin and the destination in the order information, screening is carried out in the historical orders, historical orders matched with the lines and the order sending time are obtained, the distribution timeliness corresponding to the order information is estimated according to the screened historical orders, the historical orders are screened through determining specific lines and specific order sending time, the distribution timeliness is determined according to the screened historical orders, the accuracy of the distribution timeliness of the orders can be effectively improved, and the user experience is improved.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required for the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic implementation flow chart of an order distribution timeliness estimation method provided in an embodiment of the present application;
fig. 2 is a schematic implementation flow chart of a method for determining a line corresponding to order information according to an embodiment of the present application;
FIG. 3 is a schematic diagram of an implementation flow of a method for screening historical orders by time features according to an embodiment of the present application;
FIG. 4 is a schematic flow chart of an implementation of a method for determining delivery timeliness according to an embodiment of the present disclosure;
FIG. 5 is a schematic diagram of an order delivery age estimation device according to an embodiment of the present disclosure;
fig. 6 is a schematic diagram of an order delivery age estimation apparatus provided in an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system configurations, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
In order to illustrate the technical solutions described in the present application, the following description is made by specific examples.
Fig. 1 is a schematic implementation flow chart of an order distribution timeliness estimation method provided in an embodiment of the present application, and is described in detail below:
in step S101, order information to be estimated is acquired, wherein the order information includes order posting time, origin and destination;
specifically, the order information to be estimated may be the sent express package information. After the user submits the express application to the logistics platform, the delivery time of the order can be estimated according to the submitted express application after filling in the delivery address (namely the originating place of the order information), the receiving address (namely the destination in the order information) and determining the order placing time (namely the order delivery time in the order information).
Alternatively, the order information may be order information generated when the user inquires about distribution timeliness. One or more lines are generated based on the origin, destination, and order posting time selected by the user, and an estimate of delivery timeliness may be made for each line, or for each of the multiple lines. When there are multiple lines, the user may be enabled to select a desired distribution age based on the estimated distribution ages for the multiple lines. For example, in the distribution timelines of the plurality of lines, charging rules, power types and the like of different distribution timelines can be displayed, so that the user can select and use conveniently.
The delivery time period is the duration of the order from the time of receiving the order to the time of putting the order. For example, the order receiving time is 8 months, 29 days, three afternoons, the time for the delivery is 8 months, 30 days, and 12 noons, and then the order delivery time is 21 hours. In describing the order aging, the time duration of the time of the delivery of the order relative to the time of the receipt may be described in terms of days, for example, the time of the receipt of the order is 8 months 29 pm, the time of the delivery of the order is 8 months 30 pm, and the time of the delivery of the order is 12 pm, and then the delivery aging of the order may be described as t+1.
When the order information is a real-sent express mail, the order sending time may be a time of placing an order by a sender. When the order information is time-lapse of user inquiry delivery, the order posting time can be any time set by the user according to the inquiry requirement. According to the order sending time and the order taking record, the time of the order reaching the transfer field can be determined. For example, for packages in the integrated warehouse-matching mode, the time spent by the packages from the warehouse to the transfer site can be determined according to the order sending time and by combining time spent in the warehouse and time spent in routing from the warehouse to the transfer site.
The origin may collect the address of the package for the courier staff and the destination may be the home address of the package. For the scenario of delivering aging queries, the destination may be a city or region. For example, the city may include a plurality of urban areas, or the region may include administrative areas such as a plurality of counties and towns.
In step S102, determining one or more lines corresponding to the order information according to the origin and destination;
when determining one or more lines corresponding to the order information, the available transfer can be determined according to the origin of the order, and the lines corresponding to the order information can be determined according to the lines included in the transfer place and the relationship between the lines and the destination. As shown in fig. 2, the method specifically includes:
in step S201, a relay field searching range is determined according to the origin, and a relay field is searched according to the relay field searching range;
specifically, the intermediate transitions adjacent thereto may be looked up based on the origin. For example, a relay field search range may be set according to a preset distance range, and a relay field adjacent to the origin may be searched in the relay field search range. Alternatively, the intermediate fields adjacent to the origin may be searched according to a preset transportation time length range as an intermediate field searching range.
In step S202, a line corresponding to the order information is determined according to the line corresponding to the found transit location.
After one or more transfer fields are found, the line corresponding to the order can be determined according to the found line which is included in the transfer field and can reach the destination from the transfer field. For example, the transfer yard corresponding to the origin place is searched for to include a transfer yard a and a transfer yard B, the route from the transfer yard a to the destination includes a land route A1, a land route A2, an air route A3, and the route from the transfer yard B to the destination includes an air route B1 and a water route B2, and thus, according to the route corresponding to the searched transfer yard, the route corresponding to the order information is determined to include A1, A2, A3, B1 and B2.
In the determined multiple lines, the distribution timeliness of the order is influenced due to the difference of the transportation modes, the difference of the transportation time intervals and the influence of the departure time.
In step S103, a history order matching the line and the order sending time is screened from the history orders;
after determining the line corresponding to the order information, the historical order can be screened according to the determined line to obtain the historical order matched with the determined line. And historical orders can be further screened in combination with order posting time. For example, the time of arrival of a package at a transit yard may be estimated based on the time of mailing, the time of arrival of the package at the transit yard may be determined to include the time of transmission of the transit yard, and matching of historical orders may be performed based on the time. Of course, the matching of the line and the order sending time is not necessarily limited to this, and the corresponding matching sequence may be set according to the actual matching requirement. The implementation flow of the method for screening historical orders according to time features may be as shown in fig. 3, which includes:
in step S301, when the searched line does not cover all the areas included in the destination of the order, determining a first time when the order arrives at the transfer yard according to the order posting time;
when the destination is a specific location, such as a specific urban area or a specific village and the like, the searched route can cover the whole area included by the destination of the order, the history can be searched directly according to the route and the mail sending time determined by the destination, and the time from the transit yard to the destination is determined according to the searched history. For example, the time taken for a predetermined number of historical orders in the history to be posted may be set as the time taken for the transit yard to reach the destination. And by combining the time of the package reaching the transit field, the delivery time of the order can be estimated.
When the destination is a larger area, such as a city or area entered by a user at the time of inquiry, the searched line does not cover the destination of the order, the first time when the order arrives at the transfer yard can be determined first according to the order posting time.
When the package is a warehouse package with integrated warehouse and matched, the first time can comprise time consumption in the warehouse and routing time consumption between warehouse arrival and transition. Determining the first time may be estimated based on the order posting time and the origin of the historical order. For example, for address a, the time of receiving the package is nine in the morning, and in the statistics data of reaching the transit field, packages exceeding the preset rate reach the transit field at nine in the evening, and it can be determined that nine in the evening is the first time corresponding to the order information.
In step S302, determining a second time for stowing the flow direction to cover the entire area of the destination after a first time when the order arrives at a staging area;
after determining that an order arrives at a staging area, determining a second time after the first time according to a schedule of the loading flow direction of the staging area, wherein the second time can cover the whole area. For example, when an order (or package) arrives at the transit yard at nine night, the city addressed to the destination includes a city area D1 and a city area D2, and after the first time, the direction of the transit yard is determined to be addressed to the city area D1 according to the direction of the load flow of the transit yard, and the second time is determined when the order (or package) arrives at the city area D2, that is, when the direction of the load flow after the first time covers the whole area of the destination.
In step S303, screening matching is performed in the historical order according to the determined line and the time ranges determined by the first time and the second time.
And screening the historical orders according to the determined line and the time ranges determined by the first time and the second time, so that the historical orders which are more matched with the time characteristics and the line characteristics of the current orders can be screened, and the distribution timeliness of the current orders can be estimated more accurately.
As an optional implementation manner of the application, when the searched route includes a flight route, searching the earliest departure time of the route corresponding to the destination according to the picking end time of the flight; and screening and matching in the historical orders according to the determined line and the searched earliest departure time. The goods picking end time can be determined according to the landing of the flight, the earliest departure time of the route corresponding to the destination is searched after the goods picking end time, the matched historical orders are searched in the historical records according to the searched earliest departure time and the route, and the distribution timeliness of the orders is determined according to the searched historical orders. When the flight has an delay, the landing time of the flight can be updated according to the time after the delay.
It is understood that the flight lines may be combined with the terminal lines to collectively determine the delivery timeliness corresponding to the order.
In step S104, according to the time consumption of the filtered historical order, the distribution timeliness corresponding to the line of the order information to be estimated is determined.
After a plurality of matched historical orders are obtained through screening and matching, the time consumption of the historical orders can be determined according to the time of putting the historical orders. And determining the distribution timeliness of the current order according to the time consumption of the historical order. A preferred embodiment may be as shown in fig. 4, comprising:
in step S401, acquiring the time for the screened historical orders to be posted, and sorting the distribution time consumption of the screened historical orders according to the time for the posted;
for example, 100 matching historical orders are screened, and the time to pick-up is from three pm the next day to nine pm the third day (relative to order posting time). In order to obtain the distribution timeliness of the orders, the time for which the screened historical orders are put in the market can be ordered, and a ordered historical order sequence is obtained. It is possible that according to the sequence of historical orders,
in step S402, according to the sorting, a time corresponding to when the ratio of the number of the historical orders to be posted is greater than a predetermined value is selected as a distribution timeliness corresponding to the line of the order information.
Because there may be individual special delivery timelines in the historical orders, in order to filter the special delivery timelines, the general delivery timelines of the orders are accurately estimated, and the time corresponding to the time when the ratio of the number of the properly-cast historical orders to the number of the screened all the historical orders is greater than a predetermined value can be selected as the delivery timelines corresponding to the order information. For example, the predetermined value may be 80%, and according to the sorting, when 80% of the orders in the historical orders are ready for delivery, the time is determined to be the delivery time period corresponding to the line of the order information.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic of each process, and should not limit the implementation process of the embodiment of the present application in any way.
Fig. 5 is a schematic diagram of a delivery aging estimation device according to an embodiment of the present application, which is described in detail below:
the delivery aging estimation device includes:
an order information obtaining unit 501, configured to obtain order information to be estimated, where the order information includes an order sending time, an origin, and a destination;
a line determining unit 502, configured to determine one or more lines corresponding to the order information according to the origin and the destination;
a history order matching unit 503, configured to screen a history order matching the line and the order sending time from the history order;
and the distribution timeliness determining unit 504 is configured to determine, according to the time consumption of the filtered historical order, the distribution timeliness corresponding to the line of the order information to be estimated.
The order delivery timeliness estimation device corresponds to the order delivery timeliness estimation method shown in fig. 1.
FIG. 6 is a schematic diagram of an order delivery age estimation apparatus provided in an embodiment of the present application. As shown in fig. 6, the distribution age estimation apparatus 6 of the order of this embodiment includes: a processor 60, a memory 61 and a computer program 62 stored in said memory 61 and executable on said processor 60, such as a distribution age estimation program for orders. The processor 60, when executing the computer program 62, implements the steps of the delivery age estimation method embodiment for each order described above. Alternatively, the processor 60, when executing the computer program 62, performs the functions of the modules/units of the apparatus embodiments described above.
By way of example, the computer program 62 may be partitioned into one or more modules/units that are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing a specific function describing the execution of the computer program 62 in the distribution age estimation device 6 of the order. For example, the computer program 62 may be partitioned into:
an order information acquisition unit for acquiring order information to be estimated, wherein the order information comprises order mail time, origin and destination;
a line determining unit, configured to determine one or more lines corresponding to the order information according to the origin and the destination;
the historical order matching unit is used for screening historical orders matched with the line and the order mail sending time from the historical orders;
and the distribution timeliness determining unit is used for determining the distribution timeliness corresponding to the line of the order information to be estimated according to the time consumption of the screened historical order.
The order distribution timeliness estimation device 6 can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing devices. The order delivery age estimation device may include, but is not limited to, a processor 60, a memory 61. It will be appreciated by those skilled in the art that fig. 6 is merely an example of the order delivery age estimation device 6 and is not intended to be limiting of the order delivery age estimation device 6, and may include more or fewer components than shown, or may be combined with certain components, or different components, e.g., the order delivery age estimation device may also include an input-output device, a network access device, a bus, etc.
The processor 60 may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 61 may be an internal storage unit of the delivery age estimation device 6 of the order, such as a hard disk or a memory of the delivery age estimation device 6 of the order. The memory 61 may be an external storage device of the order delivery age estimation device 6, such as a plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card) or the like, which is provided on the order delivery age estimation device 6. Further, the memory 61 may also comprise both an internal memory unit and an external memory unit of the distribution age estimation device 6 of the order. The memory 61 is used for storing the computer program and other programs and data required for the distribution age estimation device of the order. The memory 61 may also be used for temporarily storing data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other manners. For example, the apparatus/terminal device embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical function division, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present application may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each method embodiment described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium may include content that is subject to appropriate increases and decreases as required by jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is not included as electrical carrier signals and telecommunication signals.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the present application has been described in detail with reference to the foregoing embodiments, it should 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, and are intended to be included in the scope of the present application.

Claims (9)

1. A delivery age estimation method for an order, the delivery age estimation method comprising:
acquiring order information to be estimated, wherein the order information comprises order mail time, an origin and a destination;
determining one or more lines corresponding to the order information according to the origin and the destination;
screening historical orders matched with the line and the order mail sending time from the historical orders, wherein the screening comprises the following steps: when the searched line does not cover all the areas included by the destination of the order, determining the first time of the order reaching the transfer field according to the order mail sending time; determining a second time for stowing flow to all areas covering the destination after a first time when the order arrives at a staging area according to the first time; screening and matching are carried out in the historical orders according to the determined line and the time ranges determined by the first time and the second time; wherein the first time is estimated and determined according to the order sending time and the origin of the historical order;
and determining the distribution timeliness corresponding to the line of the order information to be estimated according to the time consumption of the screened historical order.
2. The method for estimating the distribution timeliness of an order according to claim 1, wherein the step of determining the distribution timeliness corresponding to the line of the order information to be estimated according to the time consumption of the filtered historical order comprises:
acquiring the time for the screened historical orders to be put in, and sequencing the distribution time consumption of the screened historical orders according to the time for the put in;
and selecting the time corresponding to the situation that the ratio of the number of the tall-put historical orders is larger than a preset value according to the sorting, and taking the time as the distribution timeliness corresponding to the line of the order information.
3. The distribution age estimation method of an order according to claim 1, wherein the step of determining one or more lines corresponding to the order information according to the origin and destination includes:
determining a transfer field searching range according to the origin, and searching a transfer field according to the transfer field searching range;
and determining the line corresponding to the order information according to the line corresponding to the searched transfer place.
4. The method of order delivery age estimation according to claim 1, wherein said step of screening historical orders in the historical orders for matching said line and said order posting time comprises:
when the searched route comprises a flight route, searching the earliest departure time of the route corresponding to the destination according to the picking end time of the flight;
and screening and matching in the historical orders according to the determined line and the searched earliest departure time.
5. The method of order delivery aging estimation according to claim 4, wherein the step of finding a departure time of an earliest departure corresponding to the destination based on a pick-up end time after landing of a flight comprises:
when the flight has an delay, determining the landing time after the flight delay;
determining the picking end time of the goods according to the landing time;
and searching the earliest departure time of the route corresponding to the destination after the pick-up ending time.
6. The method of estimating delivery time of an order according to any of claims 1-5, wherein the delivery time is determined according to the number of days corresponding to the time consumption of the selected historical order.
7. A delivery age estimation device, characterized in that the delivery age estimation device comprises:
an order information acquisition unit for acquiring order information to be estimated, wherein the order information comprises order mail time, origin and destination;
a line determining unit, configured to determine one or more lines corresponding to the order information according to the origin and the destination;
a history order matching unit, configured to screen a history order matching the line and the order sending time from the history order, including: when the searched line does not cover all the areas included by the destination of the order, determining the first time of the order reaching the transfer field according to the order mail sending time; determining a second time for stowing flow to all areas covering the destination after a first time when the order arrives at a staging area according to the first time; screening and matching are carried out in the historical orders according to the determined line and the time ranges determined by the first time and the second time; wherein the first time is estimated and determined according to the order sending time and the origin of the historical order;
and the distribution timeliness determining unit is used for determining the distribution timeliness corresponding to the line of the order information to be estimated according to the time consumption of the screened historical order.
8. A distribution age estimation device for an order comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program, implements the steps of the distribution age estimation method for an order according to any of claims 1 to 6.
9. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the distribution age estimation method of an order according to any of claims 1 to 6.
CN201910977678.8A 2019-10-15 2019-10-15 Order distribution aging estimation method, device and equipment Active CN112668745B (en)

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CN107704942A (en) * 2016-08-08 2018-02-16 阿里巴巴集团控股有限公司 Distribution path determines method, apparatus and equipment
CN109784820A (en) * 2019-03-28 2019-05-21 上海中通吉网络技术有限公司 A kind of express delivery routing intelligence solution, device, terminal device and storage medium
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WO2018000329A1 (en) * 2016-06-30 2018-01-04 石莉 Method and system for time estimation for water transport logistics
CN107704942A (en) * 2016-08-08 2018-02-16 阿里巴巴集团控股有限公司 Distribution path determines method, apparatus and equipment
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