WO2017167284A1 - 商户配送范围的调整方法和装置 - Google Patents

商户配送范围的调整方法和装置 Download PDF

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Publication number
WO2017167284A1
WO2017167284A1 PCT/CN2017/079038 CN2017079038W WO2017167284A1 WO 2017167284 A1 WO2017167284 A1 WO 2017167284A1 CN 2017079038 W CN2017079038 W CN 2017079038W WO 2017167284 A1 WO2017167284 A1 WO 2017167284A1
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Prior art keywords
user group
merchant
distance
ratio
revenue
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PCT/CN2017/079038
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English (en)
French (fr)
Inventor
黄绍建
崔代锐
邝卓聪
徐明泉
蒋凡
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北京小度信息科技有限公司
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Publication of WO2017167284A1 publication Critical patent/WO2017167284A1/zh
Priority to US15/965,770 priority Critical patent/US20180247263A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G06Q10/0838—Historical data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G06Q10/0835—Relationships between shipper or supplier and carriers
    • G06Q10/08355—Routing methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data

Definitions

  • the present application relates to the field of Internet technologies, and in particular, to a method and an apparatus for adjusting a merchant's distribution range.
  • the merchant's distribution range is divided according to people's experience, common sense and geographical information around the merchant, such as roads, rivers, viaducts, subway lines and other static attributes.
  • geographical information such as roads, rivers, viaducts, subway lines and other static attributes.
  • the geographical information does not change, it is usually only possible to adjust these unreasonable distribution ranges according to the feedback of the food delivery personnel in the form of field visits by the business personnel, which is time consuming and laborious, and is not accurate.
  • the present application aims to solve at least one of the technical problems in the related art to some extent.
  • an object of the present application is to propose a method for adjusting the distribution range of a merchant, which can generate an adjustment strategy for historical order analysis, and perform a more reasonable and accurate adjustment of the merchant delivery range.
  • Another object of the present application is to provide an apparatus for adjusting the distribution range of a merchant.
  • the method for adjusting the merchant delivery range proposed by the embodiment of the first aspect of the present application includes: acquiring a historical order within a preset time period, dividing the user group according to the data in the historical order, and dividing each history The order is classified into a corresponding user group; according to the current merchant information and the data of the historical order classified to the user group, among the user groups, the user group to be adjusted corresponding to the current merchant is determined; The user group is presented to the current merchant, so that the current merchant adjusts the merchant delivery range according to the user group to be adjusted.
  • the method for adjusting the distribution scope of the merchant proposed by the embodiment of the first aspect of the present application analyzes the historical order, determines the user group to be adjusted and presents it to the merchant, and can avoid the problem of adjusting the delivery scope after manual inspection by the dispatcher or the business personnel. To achieve the behavior of combining merchants and user groups, rationally adjust the distribution scope of merchants, reduce unnecessary consumption, and increase potential benefits.
  • the apparatus for adjusting the delivery range of the merchant includes: an acquisition module, configured to acquire a historical order within a preset time period, and divide the user group according to the data in the historical order, And classifying each historical order into a corresponding user group; determining a module, configured to determine, according to information of the current merchant and data of a historical order classified to the user group, determine, in the user group, a corresponding to the current merchant The adjusted user group; the presentation module is configured to display the user group to be adjusted to the current merchant, so that the current merchant adjusts the merchant delivery range according to the user group to be adjusted.
  • the structure of the adjustment device of the merchant distribution range includes a processor and a memory, and the memory is configured to store a program for supporting the adjustment device of the merchant distribution range to perform the adjustment method of the merchant distribution range in the first aspect,
  • the processor is configured to execute a program stored in the memory.
  • the adjusting device of the merchant distribution range may further include a communication interface, and the adjusting device for realizing the distribution range of the merchant communicates with other devices or the communication network.
  • the embodiment of the present application provides a computer storage medium, which is used to store a computer software instruction used by an adjustment device of a merchant distribution range, and includes an adjustment method for performing a merchant distribution range in the first aspect, which is a merchant distribution.
  • the program involved in the range adjustment device is a computer storage medium, which is used to store a computer software instruction used by an adjustment device of a merchant distribution range, and includes an adjustment method for performing a merchant distribution range in the first aspect, which is a merchant distribution.
  • the program involved in the range adjustment device is a computer storage medium, which is used to store a computer software instruction used by an adjustment device of a merchant distribution range, and includes an adjustment method for performing a merchant distribution range in the first aspect, which is a merchant distribution.
  • the program involved in the range adjustment device is a computer storage medium, which is used to store a computer software instruction used by an adjustment device of a merchant distribution range, and includes an adjustment method for performing a merchant distribution range in the first aspect, which is a merchant distribution.
  • the apparatus for adjusting the distribution scope of the merchant proposed in the second aspect and the third aspect of the present application analyzes the historical order, determines the user group to be adjusted, and presents it to the merchant, which can avoid After the manual inspection, the staff or business personnel adjust the problems in the distribution scope, realize the behavior of combining the merchants and the user groups, reasonably adjust the distribution scope of the merchants, reduce unnecessary consumption, and increase potential benefits.
  • FIG. 1 is a schematic flow chart of a method for adjusting a merchant's delivery range according to an embodiment of the present application
  • FIG. 2 is a schematic flow chart of a method for adjusting a merchant delivery range according to another embodiment of the present application
  • FIG. 3 is a schematic flowchart of determining a user group to be deleted in the embodiment of the present application.
  • FIG. 4 is a schematic flowchart of determining whether a POI is near a boundary of a distribution range of a merchant in the embodiment of the present application;
  • FIG. 5 is a schematic diagram of a POI in the vicinity of a boundary of a distribution range of a merchant in the embodiment of the present application;
  • FIG. 6 is a schematic diagram of a POI not in the vicinity of a boundary of a distribution range of a merchant in the embodiment of the present application;
  • FIG. 7 is a schematic flowchart of determining a user group for which a delivery fee is to be increased in an embodiment of the present application.
  • FIG. 8 is a schematic flowchart of determining a user group covered by an extended delivery range in an embodiment of the present application.
  • FIG. 9 is a schematic structural diagram of an apparatus for adjusting a distribution range of a merchant according to an embodiment of the present application.
  • FIG. 10 is a structural diagram of an apparatus for adjusting a delivery range of a merchant according to another embodiment of the present application; schematic diagram;
  • FIG. 11 is a schematic structural diagram of an apparatus for adjusting a distribution range of a merchant according to still another embodiment of the present application.
  • FIG. 1 is a schematic flow chart of a method for adjusting a merchant's delivery range according to an embodiment of the present application.
  • the method of this embodiment includes:
  • S11 Acquire a historical order within a preset time period, divide the user group according to the data in the historical order, and classify each historical order into a corresponding user group.
  • the historical order may include historical orders of multiple merchants, and each merchant may include one or more historical orders.
  • the data in each historical order can include: order amount, delivery duration, merchant location, user location.
  • all users can be divided according to the user position in the historical order data to obtain one or more user groups.
  • the users whose user positions are within the same preset range may be divided into the same user group, and each user group may be represented by a point of interest (POI).
  • POI point of interest
  • a POI is the West Second Banner business district.
  • the user group where the user location is located may be the user group to which the historical order is classified.
  • S12 Determine, according to the current merchant information and the historical order data classified to the user group, among the user groups, the user group to be adjusted corresponding to the current merchant.
  • the user group to be adjusted may include: a user group to be deleted, a user group to be upgraded, and a user group to be covered by the extended delivery range.
  • Different types of user groups to be adjusted can be determined by different parameters. For the specific process, refer to the subsequent embodiments.
  • S13 Display the user group to be adjusted to the current merchant, so that the current merchant adjusts the merchant delivery range according to the user group to be adjusted.
  • the current merchant may delete the first user group within the delivery scope according to the need, increase the distribution fee of the second user group, or expand the delivery range to cover the first Three user groups.
  • the historical order is analyzed to determine the user group to be adjusted and displayed to the merchant, which can avoid the problem of adjusting the distribution scope after the manual inspection by the dispatcher or the business personnel, and realize the behavior of combining the merchant and the user group. Adjust the distribution range of merchants, reduce unnecessary consumption, and increase potential benefits.
  • FIG. 2 is a schematic flow chart of a method for adjusting a merchant's delivery range according to another embodiment of the present application.
  • the method of this embodiment includes:
  • the location of each merchant involved in the existing historical order and the original delivery range of the merchant can be obtained.
  • S22 Acquire a historical order within a preset time period, divide the user group according to the data in the historical order, and classify each historical order into a corresponding user group.
  • the preset time period can be set according to actual conditions.
  • Each historical order can include the following data: order amount, delivery duration, merchant location, and User location.
  • All users whose users are located in the same area can be regarded as a user group, and the user group where the user is located is used as the user group to which the historical order is classified.
  • the revenue and consumption of each historical order can be further calculated.
  • the order amount in the historical order is used as the income, and the delivery time is converted according to the salary of the delivery person as consumption, thereby being able to
  • the revenue and consumption of each historical order calculates the revenue consumption ratio of each historical order, and the average of the revenue consumption ratio of all historical orders in the same user group can be used as the revenue consumption ratio of the user group.
  • the distance between the merchant and the user group can be calculated based on the location of the merchant and the location of the user group.
  • the user group is an area having a certain shape and an area.
  • the distance between the merchant and the user group may be the longest distance, the closest distance, or the distance from the center point of the user group. Which distance can be set.
  • the merchant's distribution range can be adjusted.
  • the adjustment strategy includes the following three types:
  • the POI to be deleted and the POI to be increased the delivery fee may be determined within the original distribution scope of the merchant, and the POI to be expanded to cover the distribution range is determined outside the original distribution range of the merchant.
  • S23-S25 may be performed after S22, and/or S26-S28 may be executed.
  • S23 Acquire an original distribution range of the current merchant, select a user group belonging to the original distribution range among the user groups, and obtain the selected user group.
  • S24 Calculate the revenue consumption ratio of each selected user group according to the data of the historical order classified to the user group, and calculate the current merchant and each according to the current merchant location and the location of each selected user group. The distance between the selected user groups.
  • the revenue consumption ratio of each historical order can be calculated, and then the average of the revenue consumption ratios of all historical orders classified into one POI can be used as the POI's revenue consumption ratio.
  • the distance between the merchant and the POI can be calculated according to the location of the merchant and the location of the farthest boundary point, the nearest boundary point, or the center point of the POI (which point can be preset, the same below).
  • S25 Determine, according to the revenue consumption ratio and the distance, a user group to be deleted or a user group whose delivery fee is to be increased in the selected user group.
  • the average revenue consumption ratio of some POIs is too low, that is, on average, the orders sent from the merchants to these POIs are brought to the platform.
  • the income is not as much as the consumption, and each order will bring a certain degree of loss.
  • the process of determining the user group to be deleted may include:
  • S31 Determine, according to the revenue consumption ratio, a user group whose revenue consumption ratio is less than a preset ratio in the selected user group.
  • the process After calculating the revenue consumption ratio of each POI belonging to the original distribution range of the current merchant, it may be judged whether it is less than the preset ratio, and if not, the process ends. Otherwise, the subsequent process is executed.
  • the process of determining whether a POI is near the boundary of a merchant's distribution range may include:
  • S41 Calculate the distance between the POI and the merchant, obtain a distance between the merchant and the POI, and determine whether the distance is greater than a preset distance. If yes, execute S42, otherwise execute S42.
  • the distance between the merchant and the POI can be calculated according to the location of the POI and the location of the merchant.
  • S42 Select a point closest to the POI as a boundary point in the distribution range, and calculate a distance between the merchant and the boundary point.
  • the boundary of the distribution range is composed of a series of points, and the point closest to the POI distance can be determined by calculating the distance between each point of the boundary of the distribution range and the POI.
  • the distance between the merchant and the boundary point can be obtained according to the location of the boundary point and the location of the merchant.
  • S43 Calculate a ratio of the distance between the merchant and the user group and the distance between the merchant and the boundary point, and determine whether the ratio is greater than a preset value. If yes, execute S44; otherwise, execute S45.
  • the ratio between the above two distances can be calculated.
  • S44 Determine that the POI is near the boundary of the merchant's distribution range.
  • the POI at this time is near the boundary of the merchant's delivery range.
  • the POI when the distance between the merchant and the POI is less than the preset distance, it indicates that the distance between the merchant and the POI is not very large, and therefore, the POI may be considered not to be near the boundary of the distribution scope of the merchant. For example, referring to FIG. 6, if the first distance is less than the preset distance, the POI at this time is not near the boundary of the merchant's delivery range.
  • the ratio of the above two distances is less than the preset value, it can also be considered that the POI is not near the boundary of the merchant's delivery range.
  • S33 Determine the user group whose revenue consumption ratio is less than a preset ratio as the user group to be deleted.
  • the POI shown in FIG. 5 can be determined as the user group to be deleted of the current merchant.
  • the vast majority of order delivery distances are within a certain range (such as within k kilometers). Orders over k km will affect both the user's meal experience and the meal delivery experience.
  • the process of determining the user group for which the delivery fee is to be increased may include:
  • S71 Calculate a distance between each selected user group and the current merchant according to the location of each selected user group and the current merchant location, and determine whether the distance is greater than a preset distance, and if yes, execute S72, otherwise , execute S73.
  • S72 Calculate a revenue consumption ratio of the corresponding user group, and determine whether the revenue consumption ratio is less than a preset ratio. If yes, execute S74; otherwise, execute S73.
  • the revenue consumption ratio of the POI is calculated.
  • the calculation method of the distance between the POI and the merchant, and the calculation method of the revenue consumption ratio of each POI can be referred to the related description above, and will not be described in detail herein.
  • the POI may be determined as the POI of the delivery fee to be increased.
  • the method may further include:
  • S75 increasing the delivery fee of the corresponding user group, and after increasing the delivery fee of the corresponding user group, after a preset time, determining whether the revenue consumption ratio of the user group is less than a preset ratio, if yes, executing S76, otherwise executing S77 .
  • the increase of the distribution fee should be reasonably improved according to experience, etc.
  • the ratio of the increase range to the order amount can be set to be less than the threshold.
  • the POI's revenue-to-consumption ratio can be calculated again to obtain the revenue consumption. The change in the ratio.
  • S26 Determine an active user group among the user groups according to data of historical orders classified to the user group.
  • the average daily quantity of each user group may be calculated according to the number of historical orders classified into the user group; and the user group whose daily average quantity is greater than the preset value is determined as the active user group.
  • the number of historical orders per day is obtained, and the average is calculated according to the number of historical orders per day in the preset time period, and the daily average amount is obtained.
  • the active user group does not belong to the original delivery scope and meets a preset condition suitable for expanding the scope, the active user group is determined as a user group to be covered by the extended delivery scope.
  • the process of determining the user group covered by the extended delivery range may include:
  • S81 Determine an active POI in the POI according to the data of the historical order classified to the POI.
  • the number of historical orders classified into each POI is counted, the daily average amount of the corresponding POI is calculated, and the POI whose daily average amount is greater than the threshold is determined as the active POI.
  • S83 Calculate the distance between the active POI and the current merchant, and determine whether the distance is within a preset distance. If yes, execute S84, otherwise execute S86.
  • the same brand can set different merchants in different regions, such as chain stores.
  • the POI is determined as a POI to be covered by the extended delivery range.
  • FIG. 9 is a schematic structural diagram of an apparatus for adjusting a delivery range of a merchant according to an embodiment of the present application.
  • the apparatus 90 includes an acquisition module 91, a determination module 92, and a presentation module 93.
  • the obtaining module 91 is configured to acquire a historical order within a preset time period, divide the user group according to the data in the historical order, and classify each historical order into a corresponding user group;
  • a determining module 92 configured to determine, according to current merchant information and data of a historical order classified to the user group, among the user groups, a user group to be adjusted corresponding to the current merchant;
  • the presentation module 93 is configured to display the user group to be adjusted to the current merchant, so that the current merchant adjusts the merchant delivery range according to the user group to be adjusted.
  • the user group to be adjusted includes: a user group to be deleted or a user group to be upgraded.
  • the determining module 92 includes:
  • the first unit 921 is configured to obtain an original distribution range of the current merchant, select a user group belonging to the original distribution range among the user groups, and obtain the selected user group;
  • the second unit 922 is configured to calculate, according to the data of the historical order classified to the user group, a revenue consumption ratio of each selected user group, and, according to the current merchant location and the location of each selected user group, Calculating the distance between the current merchant and each selected user group;
  • the third unit 923 is configured to determine, according to the revenue consumption ratio and the distance, a user group to be deleted or a user group whose delivery fee is to be increased in the selected user group.
  • the third unit 923 is specifically configured to:
  • the user group whose revenue consumption ratio is less than the preset ratio is determined as the user group to be deleted.
  • the third unit 923 is configured to determine whether a user group whose revenue consumption ratio is less than a preset ratio is near a boundary of the original delivery range, and includes:
  • the distance between the user group and the merchant is greater than a preset distance, select a point in the original distribution range that is closest to the user group whose revenue consumption ratio is less than a preset ratio as a boundary point, and calculate the current merchant. The distance from the boundary point to obtain the distance between the merchant and the boundary point;
  • the third unit 923 is specifically configured to:
  • the corresponding user group is determined as the user group whose delivery fee is to be increased.
  • the third unit 923 is further configured to:
  • the corresponding user group After the delivery fee of the corresponding user group is increased, after the preset time, if the revenue consumption ratio is still less than the preset ratio, the corresponding user group is determined as the user group to be deleted.
  • the user group to be adjusted includes: a user group to be covered by the extended delivery range, and the determining module 92 is specifically configured to:
  • the active user group does not belong to the original distribution range and meets a preset condition suitable for the extended range, the active user group is determined as a user group to be covered by the extended delivery range.
  • the determining module 92 is configured to determine, according to the data of the historical order classified to the user group, the active user group in the user group, including:
  • the user group whose daily average amount is greater than the preset value is determined as the active user group.
  • the determining module 92 is further configured to:
  • the historical order is analyzed to determine the user group to be adjusted and displayed to the merchant, which can avoid the problem of adjusting the distribution scope after the manual inspection by the dispatcher or the business personnel, and realize the behavior of combining the merchant and the user group. Adjust the distribution range of merchants, reduce unnecessary consumption, and increase potential benefits.
  • the adjustment device of the merchant's delivery range can also be implemented by the structure shown in FIG.
  • the structure of the adjustment device of the merchant distribution range includes a processor 110 and a memory 120, and the adjustment device for storing the supported merchant distribution range performs the merchant delivery range provided in the above method embodiment.
  • a program for adjusting a method the processor 110 being configured to execute a program stored in the memory.
  • the program includes one or more computer instructions, wherein the one or more computer instructions are for execution by the processor.
  • the memory 120 is a non-volatile computer readable storage medium and can be used for storing non-volatile software programs, non-volatile computer executable programs, and modules, such as merchants in the embodiments of the present application.
  • a program instruction/module corresponding to the adjustment method of the delivery range (for example, the acquisition module 91, the determination module 92, and the presentation module 93 shown in FIG. 9).
  • the processor 110 executes various functional applications and data processing of the electronic device by executing non-volatile software programs, instructions, and modules stored in the memory 120, that is, a method for adjusting the merchant distribution range of the above method embodiments.
  • the processor 110 is configured to: acquire a historical order within a preset time period, divide a user group according to data in the historical order, and classify each historical order into a corresponding user group; according to information of the current merchant And the data of the historical order classified to the user group, in the user group, determining the user group to be adjusted corresponding to the current merchant; and displaying the user group to be adjusted to the current merchant, so that the current The merchant adjusts the merchant delivery range according to the user group to be adjusted.
  • the processor 110 can perform the method provided by the embodiment of the present application, and has an execution process, a corresponding function module, and a beneficial effect.
  • the processor 110 can perform the method provided by the embodiment of the present application, and has an execution process, a corresponding function module, and a beneficial effect.
  • the embodiment of the present application provides a computer storage medium, which is used for storing a computer software instruction used by an adjustment device of a merchant distribution range, and includes an adjustment device for performing a merchant delivery range adjustment method in the embodiment of the method. The procedures involved.
  • embodiments of the present application can be provided as a method, system, or computer program product.
  • the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment in combination of software and hardware.
  • the application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.
  • the computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device.
  • the apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.
  • These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device.
  • the instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.
  • a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
  • processors CPUs
  • input/output interfaces network interfaces
  • memory volatile and non-volatile memory
  • the memory may include non-persistent memory, random access memory (RAM), and/or non-volatile memory, such as read only memory (ROM) or flash memory (flashRAM), in a computer readable medium.
  • RAM random access memory
  • ROM read only memory
  • flashRAM flash memory
  • Memory is an example of a computer readable medium.
  • Computer readable media includes both permanent and non-persistent, removable and non-removable media.
  • Information storage can be implemented by any method or technology.
  • the information can be computer readable instructions, data structures, modules of programs, or other data.
  • Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory. (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other memory technology, compact disk read only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, Magnetic tape cartridges, magnetic tape storage or other magnetic storage devices or any other non-transportable media can be used to store information that can be accessed by a computing device.
  • computer readable media does not include temporary storage of computer readable media, such as modulated data signals and carrier waves.
  • embodiments of the present application can be provided as a method, system, or computer program product.
  • the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment in combination of software and hardware.
  • the application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.

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Abstract

本申请实施例提供一种商户配送范围的调整方法和装置，该商户配送范围的调整方法包括：获取预设时间段内的历史订单，根据所述历史订单中的数据划分用户群，并将每个历史订单归类到对应的用户群中；根据当前商户的信息和归类到用户群的历史订单的数据，在所述用户群中，确定对应当前商户的待调整的用户群；将所述待调整的用户群展现给所述当前商户，以使所述当前商户根据所述待调整的用户群调整商户配送范围。该方法能够通过对历史订单分析生成调整策略，进行更合理和准确的商户配送范围调整。

Description

商户配送范围的调整方法和装置
交叉引用
本申请引用于2016年03月31日递交的名称为“商户配送范围的调整方法和装置”的第201610201361.1号中国专利申请，其通过引用被全部并入本申请。
技术领域
本申请涉及互联网技术领域，尤其涉及一种商户配送范围的调整方法和装置。
背景技术
随着线上到线下(Online To Offline，O2O)技术的发展，更多用户从线上购买商品。用户在线上购买商品生成订单后，需要商户进行线下的配送。
相关技术中，商户配送范围是根据人的经验、常识以及商户周围的地理信息，如：道路、河流、高架桥、地铁线等静态属性来划分的。在地理信息不发生改变的前提下，通常只能根据送餐员的反馈，加以业务人员的实地考察的形式来调整这些不合理的配送范围，耗时耗力，并且也不精确。
申请内容
本申请旨在至少在一定程度上解决相关技术中的技术问题之一。
为此，本申请的一个目的在于提出一种商户配送范围的调整方法，该方法可以通过对历史订单分析生成调整策略，进行更合理和准确的商户配送范围调整。
本申请的另一个目的在于提出一种商户配送范围的调整装置。
为达到上述目的，本申请第一方面实施例提出的商户配送范围的调整方法，包括：获取预设时间段内的历史订单，根据所述历史订单中的数据划分用户群，并将每个历史订单归类到对应的用户群中；根据当前商户的信息和归类到用户群的历史订单的数据，在所述用户群中，确定对应当前商户的待调整的用户群；将所述待调整的用户群展现给所述当前商户，以使所述当前商户根据所述待调整的用户群调整商户配送范围。
本申请第一方面实施例提出的商户配送范围的调整方法，通过历史订单进行分析，确定待调整的用户群并展现给商户，可以避免由配送员或业务人员人工考察后调整配送范围存在的问题，实现结合商户与用户群的行为，合理调整商户的配送范围，减少不必要的消耗，提高潜在的收益。
为达到上述目的，本申请第二方面实施例提出的商户配送范围的调整装置，包括：获取模块，用于获取预设时间段内的历史订单，根据所述历史订单中的数据划分用户群，并将每个历史订单归类到对应的用户群中；确定模块，用于根据当前商户的信息和归类到用户群的历史订单的数据，在所述用户群中，确定对应当前商户的待调整的用户群；展现模块，用于将所述待调整的用户群展现给所述当前商户，以使所述当前商户根据所述待调整的用户群调整商户配送范围。
在一个可能的设计中，商户配送范围的调整装置的结构中包括处理器和存储器，所述存储器用于存储支持商户配送范围的调整装置执行上述第一方面中商户配送范围的调整方法的程序，所述处理器被配置为用于执行所述存储器中存储的程序。所述商户配送范围的调整装置还可以包括通信接口，用于实现商户配送范围的调整装置与其他设备或通信网络通信。
第三方面，本申请实施例提供了一种计算机存储介质，用于储存商户配送范围的调整装置所用的计算机软件指令，其包含用于执行上述第一方面中商户配送范围的调整方法为商户配送范围的调整装置所涉及的程序。
本申请第二方面及第三方面实施例提出的商户配送范围的调整装置，通过历史订单进行分析，确定待调整的用户群并展现给商户，可以避免由配 送员或业务人员人工考察后调整配送范围存在的问题，实现结合商户与用户群的行为，合理调整商户的配送范围，减少不必要的消耗，提高潜在的收益。
本申请附加的方面和优点将在下面的描述中部分给出，部分将从下面的描述中变得明显，或通过本申请的实践了解到。
附图说明
此处所说明的附图用来提供对本申请的进一步理解，构成本申请的一部分，本申请的示意性实施例及其说明用于解释本申请，并不构成对本申请的不当限定。在附图中：
图1是本申请一个实施例提出的商户配送范围的调整方法的流程示意图；
图2是本申请另一个实施例提出的商户配送范围的调整方法的流程示意图；
图3是本申请实施例中确定待删除的用户群的流程示意图；
图4是本申请实施例中判断一个POI是否在一个商户的配送范围的边界附近的流程示意图；
图5是本申请实施例中POI在商户的配送范围的边界附近的示意图；
图6是本申请实施例中POI不在商户的配送范围的边界附近的示意图；
图7是本申请实施例中确定待提高配送费的用户群的流程示意图；
图8是本申请实施例中确定通过扩大配送范围覆盖的用户群的流程示意图；
图9是本申请一个实施例提出的商户配送范围的调整装置的结构示意图；
图10是本申请另一个实施例提出的商户配送范围的调整装置的结构 示意图；
图11是本申请又一个实施例提出的商户配送范围的调整装置的结构示意图。
具体实施方式
为使本申请的目的、技术方案和优点更加清楚，下面将结合本申请具体实施例及相应的附图对本申请技术方案进行清楚、完整地描述。显然，所描述的实施例仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
图1是本申请一个实施例提出的商户配送范围的调整方法的流程示意图。
参见图1，本实施例的方法包括：
S11：获取预设时间段内的历史订单，根据所述历史订单中的数据划分用户群，并将每个历史订单归类到对应的用户群中。
其中，历史订单可以包括多个商户的历史订单，每个商户可以包括一个或多个历史订单。
每个历史订单中的数据可以包括：订单金额、配送时长、商户位置、用户位置。
其中，可以根据历史订单数据中的用户位置对所有的用户进行划分，得到一个或多个用户群。
具体的，在用户群划分时，可以将用户位置在同一个预设范围内的用户划分为同一个用户群，每个用户群可以用一个兴趣点(point of interest，POI)表示。例如，一个POI是西二旗商圈。
在划分得到用户群后，对应每个历史订单，可以将用户位置所在的用户群作为历史订单归类到的用户群。
S12：根据当前商户的信息和归类到用户群的历史订单的数据，在所述用户群中，确定对应当前商户的待调整的用户群。
其中，待调整的用户群可以包括：待删除的用户群、待提高配送费的用户群和待通过扩展配送范围覆盖的用户群。
不同类型的待调整的用户群可以通过不同的参数确定。具体流程可以参见后续实施例。
S13：将所述待调整的用户群展现给所述当前商户，以使所述当前商户根据所述待调整的用户群调整商户配送范围。
例如，对应当前商户，如果第一用户群、第二用户群和第三用户群分别是待删除的用户群、待提高配送费的用户群和待通过扩大配送范围覆盖的用户群，则可以将第一用户群、第二用户群和第三用户群展现给当前商户后，当前商户可以根据需要在配送范围内删除第一用户群、提高第二用户群的配送费或者扩大配送范围以覆盖第三用户群。
本实施例中，通过历史订单进行分析，确定待调整的用户群并展现给商户，可以避免由配送员或业务人员人工考察后调整配送范围存在的问题，实现结合商户与用户群的行为，合理调整商户的配送范围，减少不必要的消耗，提高潜在的收益。
图2是本申请另一个实施例提出的商户配送范围的调整方法的流程示意图。
参见图2，本实施例的方法包括：
S21：获取商户的位置和原始的配送范围。
其中，可以获取已有的历史订单中涉及的每个商户的位置和该商户的原始的配送范围。
S22：获取预设时间段内的历史订单，根据所述历史订单中的数据划分用户群，并将每个历史订单归类到对应的用户群中。
其中，预设时间段可以根据实际情况设置。
每个历史订单中可以包括如下数据：订单金额、配送时长、商户位置和 用户位置。
可以将用户位置位于相同区域的所有用户作为一个用户群，用户位置所在的用户群作为历史订单归类到的用户群。
在获取到历史订单的数据后，还可以进一步计算每个历史订单的收益、消耗，例如，将历史订单中的订单金额作为收益，根据配送员的工资对配送时长进行折算作为消耗，从而可以根据每个历史订单的收益和消耗计算每个历史订单的收益消耗比，进而可以将同一个用户群中所有历史订单的收益消耗比的平均值作为该用户群的收益消耗比。
另外，还可以根据商户的位置和用户群的位置，计算商户与用户群之间的距离。其中，用户群是具有一定形状和面积的区域，在计算上述的距离时，可以是计算商户与用户群所占区域的最远距离、最近距离或者与用户群的中心点之间的距离，具体采用哪种距离可以设置。
可以理解的是，上述步骤可以作为数据准备和预处理流程，在调整配送范围之前完成。
在得到以上数据的基础上，可以进行商户配送范围调整。
本实施例中，调整策略包括以下三种：
(1)将收益消耗比过低的用户群(以下用POI表示)从商户的配送范围中删除；
(2)提升商户到部分远距离POI的配送费；
(3)扩大部分商户的配送范围至覆盖周围活跃POI。
上述调控策略中，可以在商户的原始配送范围内，确定待删除的POI和待提高配送费的POI，在商户的原始配送范围外，确定待扩大配送范围以覆盖的POI。
相应的，参见图2，在S22之后可以执行S23-S25，和/或，执行S26-S28。
S23：获取当前商户的原始配送范围，在所述用户群中选择属于原始配送范围的用户群，得到选择后的用户群。
其中，可以根据每个POI的位置以及商户的原始配送范围，确定属于原 始配送范围的POI。
S24：根据归类到用户群的历史订单的数据，计算每个选择后的用户群的收益消耗比，以及，根据当前商户的位置和每个选择后的用户群的位置，计算当前商户与每个选择后的用户群之间的距离。
如上所示，在获取每个历史订单的收益和消耗后，可以计算出每个历史订单的收益消耗比，之后，可以将归类到一个POI的所有历史订单的收益消耗比的平均值作为该POI的收益消耗比。
另外，可以根据商户的位置与POI的最远边界点、最近边界点或中心点(选择哪个点可以预先设置，下同)的位置，计算商户与POI之间的距离。
S25：根据所述收益消耗比和所述距离，在所述选择后的用户群中确定待删除的用户群或者待提高配送费的用户群。
一些实施例中，通过订单分析，可以发现对部分商户来说，有一些POI的平均收益消耗比过低，也就是指平均来说，从该商户送到这些POI的订单，给平台带来的收益不及消耗多，每一单都会带来一定程度的亏损。我们拟从这些低收益POI中删除靠近商户配送边界的区域，这样对商户原本配送范围的改动最少，而且对用户带来的影响也最小。
具体的，参见图3，确定待删除的用户群的流程可以包括：
S31：根据所述收益消耗比，在所述选择后的用户群中，确定收益消耗比小于预设比值的用户群。
例如，在计算出属于当前商户的原始配送范围的每个POI的收益消耗比后，可以判断其是否小于预设比值，如果不是则结束，否则执行后续流程。
S32：判断收益消耗比小于预设比值的用户群是否在所述原始配送范围的边界附近，若是，执行S33，否则，执行S34。
其中，参见图4，判断一个POI是否在一个商户的配送范围的边界附近的流程可以包括：
S41：计算该POI与该商户之间的距离，得到商户与POI之间的距离，并判断该距离是否大于预设距离，若是，执行S42，否则执行S42。
其中，可以根据POI的位置与商户的位置，计算商户与POI之间的距离。
S42：在配送范围中选择与该POI距离最近的点作为边界点，并计算该商户与该边界点之间的距离。
其中，配送范围的边界由一系列的点组成，通过计算配送范围的边界的每个点与POI之间的距离，可以确定与POI距离最近的点。
在得到上述的边界点后，可以根据该边界点的位置与该商户的位置，可以得到该商户与该边界点的距离。
S43：计算所述商户与用户群间的距离与所述商户与边界点间的距离的比值，并判断该比值是否大于预设值，若是，执行S44，否则，执行S45。
在得到上述的两个距离后，可以计算上述两个距离之间的比值。
S44：确定该POI在该商户的配送范围的边界附近。
例如，参见图5，如果第一距离/第二距离大于预设值，此时的POI在商户的配送范围的边界附近。
S45：结束。
其中，当商户与POI之间的距离小于预设距离时，表明商户与POI之间的距离不是很大，因此，可以认为POI不是处于商户的配送范围的边界附近。例如，参见图6，如果第一距离小于预设距离时，此时的POI不是处于商户的配送范围的边界附近。
或者，
如果上述的两个距离的比值小于预设值，也可以认为POI不是处于商户的配送范围的边界附近。
S33：将所述收益消耗比小于预设比值的用户群确定为待删除的用户群。
例如，如图5所示，如果上述的收益消耗比小于预设比值的用户群是图5的POI，当前商户是图5所示的商户，当前商户的原始配送范围是图5所示的商户的配送范围，则可以将图5所示的POI确定为是当前商户的待删除的用户群。
S34：结束。
一些实施例中，根据实际的业务分析，绝大多数的订单配送距离都处在某一范围内(比如k公里以内)。超过k公里的订单会同时影响用户的等餐体验和送餐员的送餐体验。
具体的，参见图7，确定待提高配送费的用户群的流程可以包括：
S71：根据每个选择后的用户群的位置与当前商户的位置，计算每个选择后的用户群与当前商户之间的距离，并判断该距离是否大于预设距离，若是，执行S72，否则，执行S73。
S72：计算对应的用户群的收益消耗比，并判断该收益消耗比是否小于预设比值，若是，执行S74，否则，执行S73。
例如，对应一个选择后的POI，该POI与当前商户之间的距离大于预设距离时，则计算该POI的收益消耗比。
其中，POI与商户之间的距离的计算方式，以及每个POI的收益消耗比的计算方式可以参见上述相关描述，在此不再详细说明。
S73：结束。
如果收益消耗比大于预设比值，则表明盈利状态尚可，可以暂时不做处理。
S74：将对应的用户群确定为待提高配送费的用户群。
例如，上述的一个选择后的POI，该POI与当前商户之间的距离大于预设距离，且该POI的收益消耗比小于预设比值，则可以将该POI确定为待提高配送费的POI。
进一步的，该方法还可以包括：
S75：提高对应的用户群的配送费，在提高对应的用户群的配送费后，经过预设时间后，判断该用户群的收益消耗比是否小于预设比值，若是，执行S76，否则执行S77。
其中，配送费的提高幅度应该根据经验等合理提高，具体的，可以设置提高幅度与订单金额的比值小于阈值。
在提高配送费后，可以再次计算该POI的收益消耗比，以得到收益消耗 比的变化情况。
S76：将该用户群确定为待删除的用户群。
S77：保持提高后的配送费。
当提高配送费后收益消耗比还可以，则可以保持该配送费。
S26：根据归类到用户群的历史订单的数据，在所述用户群中确定活跃用户群。
其中，可以根据归类到用户群的历史订单的数量，计算每个用户群的日均单量；将日均单量大于预设值的用户群，确定为活跃用户群。
例如，通过对每个POI的每天的历史订单数量进行统计，得到每天的历史订单的数量，再根据预设时间段内每天的历史订单的数量计算平均值，得到日均单量。
S27：获取当前商户的原始配送范围。
S28：如果所述活跃用户群不属于所述原始配送范围，且满足适宜扩大范围的预设条件时，将所述活跃用户群确定为待通过扩大配送范围覆盖的用户群。
具体的，参见图8，确定通过扩大配送范围覆盖的用户群的流程可以包括：
S81：根据归类到POI的历史订单的数据，在POI中确定活跃POI。
例如，统计归类到每个POI的历史订单的数量，计算出相应的POI的日均单量，将日均单量大于阈值的POI确定为活跃POI。
S82：判断该活跃POI是否在当前商户的原始配送范围内，若是，执行S86，否则，执行S83。
S83：计算该活跃POI与当前商户之间的距离，并判断该距离是否在预设距离内，若是，执行S84，否则执行S86。
S84：判断该活跃POI内是否存在与当前商户同品牌的商户，若是，执行S86，否则，执行S85。
其中，同一个品牌可以在不同区域分别设置不同的商户，例如连锁分店。
S85：将该POI确定为待通过扩大配送范围覆盖的POI。
S86：结束。
本实施例中，通过统计历史订单数据，基于分析各商户的配送行为，分析不同种类的订单对物流平台的价值，合理的减少低收益订单的产生，适当提高某些类型的订单的配送费，尝试扩大部分商户的配送范围使其覆盖潜在的高收益区，以求提高物流平台的资源利用率和收益转化率。同时也为用户带来更好的点餐体验、为送餐员带来更好的送餐体验、为商户带来更实惠的经济收益。
图9是本申请一个实施例提出的商户配送范围的调整装置的结构示意图。参见图9，该装置90包括：获取模块91、确定模块92和展现模块93。
获取模块91，用于获取预设时间段内的历史订单，根据所述历史订单中的数据划分用户群，并将每个历史订单归类到对应的用户群中；
确定模块92，用于根据当前商户的信息和归类到用户群的历史订单的数据，在所述用户群中，确定对应当前商户的待调整的用户群；
展现模块93，用于将所述待调整的用户群展现给所述当前商户，以使所述当前商户根据所述待调整的用户群调整商户配送范围。
一些实施例中，所述待调整的用户群包括：待删除的用户群或者待提高配送费的用户群，参见图10，所述确定模块92包括：
第一单元921，用于获取当前商户的原始配送范围，在所述用户群中选择属于原始配送范围的用户群，得到选择后的用户群；
第二单元922，用于根据归类到用户群的历史订单的数据，计算每个选择后的用户群的收益消耗比，以及，根据当前商户的位置和每个选择后的用户群的位置，计算当前商户与每个选择后的用户群之间的距离；
第三单元923，用于根据所述收益消耗比和所述距离，在所述选择后的用户群中确定待删除的用户群或者待提高配送费的用户群。
可选的，所述第三单元923具体用于：
根据所述收益消耗比，在所述选择后的用户群中，确定收益消耗比小于预设比值的用户群；
判断收益消耗比小于预设比值的用户群是否在所述原始配送范围的边界附近；
如果是，将所述收益消耗比小于预设比值的用户群确定为待删除的用户群。
可选的，所述第三单元923用于判断收益消耗比小于预设比值的用户群是否在所述原始配送范围的边界附近，包括：
计算收益消耗比小于预设比值的用户群与所述当前商户之间的距离，得到商户与用户群间的距离；
如果所述用户群与商户间的距离大于预设距离，在所述原始配送范围中选择与所述收益消耗比小于预设比值的用户群距离最近的点作为边界点，并计算所述当前商户与所述边界点之间的距离，得到商户与边界点间的距离；
计算所述商户与用户群间的距离与所述商户与边界点间的距离的比值，如果所述比值大于预设值，确定收益消耗比小于预设比值的用户群在所述原始配送范围的边界附近。
一些实施例中，所述第三单元923具体用于：
根据每个选择后的用户群的位置与当前商户的位置，计算每个选择后的用户群与当前商户之间的距离；
如果所述距离大于预设距离，计算对应的用户群的收益消耗比；
如果所述收益消耗比小于预设比值，将所述对应的用户群确定为待提高配送费的用户群。
可选的，所述第三单元923还用于：
在提高对应的用户群的配送费后，经过预设时间后，如果所述收益消耗比还小于预设比值，将所述对应的用户群确定为待删除的用户群。
一些实施例中，所述待调整的用户群包括：待通过扩大配送范围覆盖的用户群，所述确定模块92具体用于：
根据归类到用户群的历史订单的数据，在所述用户群中确定活跃用户群；
获取当前商户的原始配送范围；
如果所述活跃用户群不属于所述原始配送范围，且满足适宜扩大范围的预设条件时，将所述活跃用户群确定为待通过扩大配送范围覆盖的用户群。
可选的，所述确定模块92用于根据归类到用户群的历史订单的数据，在所述用户群中确定活跃用户群，包括：
根据归类到用户群的历史订单的数量，计算每个用户群的日均单量；
将日均单量大于预设值的用户群，确定为活跃用户群。
可选的，所述确定模块92还用于：
在所述活跃用户群不属于所述原始配送范围后，计算活跃用户群与当前商户之间的距离；
如果所述距离在预设距离内，判断所述活跃用户群内是否存在与所述当前商户同品牌的商户；
如果不存在，确定所述活跃用户群满足适宜扩大范围的预设条件。
可以理解的是，本实施例与上述的方法实施例对应，具体内容可以参见方法实施例中的相关描述，在此不再详细说明。
本实施例中，通过历史订单进行分析，确定待调整的用户群并展现给商户，可以避免由配送员或业务人员人工考察后调整配送范围存在的问题，实现结合商户与用户群的行为，合理调整商户的配送范围，减少不必要的消耗，提高潜在的收益。
在一个可能的设计中，商户配送范围的调整装置还可采用如图11所示的结构实现。如图11所示，商户配送范围的调整装置的结构中包括处理器110和存储器120，所述存储器120用于存储支持的商户配送范围的调整装置执行上述方法实施例中提供的商户配送范围的调整方法的程序，所述处理器110被配置为用于执行所述存储器中存储的程序。
所述程序包括一条或多条计算机指令，其中，所述一条或多条计算机指令供所述处理器调用执行。
存储器120作为一种非易失性计算机可读存储介质，可用于存储非易失性软件程序、非易失性计算机可执行程序以及模块，如本申请实施例中的商户 配送范围的调整方法对应的程序指令/模块(例如，附图9所示的获取模块91、确定模块92和展现模块93)。处理器110通过运行存储在存储器120中的非易失性软件程序、指令以及模块，从而执行电子设备的各种功能应用以及数据处理，即实现上述方法实施例的商户配送范围的调整方法。
所述处理器110用于：获取预设时间段内的历史订单，根据所述历史订单中的数据划分用户群，并将每个历史订单归类到对应的用户群中；根据当前商户的信息和归类到用户群的历史订单的数据，在所述用户群中，确定对应当前商户的待调整的用户群；将所述待调整的用户群展现给所述当前商户，以使所述当前商户根据所述待调整的用户群调整商户配送范围。
处理器110可执行本申请实施例所提供的方法，具备执行过程、相应的功能模块和有益效果，未在本实施例中详尽描述的技术细节可参见本申请前述的内容。
本申请实施例提供了一种计算机存储介质，用于存储商户配送范围的调整装置所用的计算机软件指令，其包含用于执行上述方法实施例中商户配送范围的调整方法为商户配送范围的调整装置所涉及的程序。
本领域内的技术人员应明白，本申请的实施例可提供为方法、系统或计算机程序产品。因此，本申请可采用完全硬件实施例、完全软件实施例、或结合软件和硬件方面的实施例的形式。而且，本申请可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。
本申请是参照根据本申请实施例的方法、设备(系统)、和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理设备的处理器以产生一个机器，使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的 装置。
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设备以特定方式工作的计算机可读存储器中，使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品，该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。
这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上，使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理，从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。
在一个典型的配置中，计算设备包括一个或多个处理器(CPU)、输入/输出接口、网络接口和内存。
内存可能包括计算机可读介质中的非永久性存储器，随机存取存储器(RAM)和/或非易失性内存等形式，如只读存储器(ROM)或闪存(flashRAM)。内存是计算机可读介质的示例。
计算机可读介质包括永久性和非永久性、可移动和非可移动媒体可以由任何方法或技术来实现信息存储。信息可以是计算机可读指令、数据结构、程序的模块或其他数据。计算机的存储介质的例子包括，但不限于相变内存(PRAM)、静态随机存取存储器(SRAM)、动态随机存取存储器(DRAM)、其他类型的随机存取存储器(RAM)、只读存储器(ROM)、电可擦除可编程只读存储器(EEPROM)、快闪记忆体或其他内存技术、只读光盘只读存储器(CD-ROM)、数字多功能光盘(DVD)或其他光学存储、磁盒式磁带，磁带磁磁盘存储或其他磁性存储设备或任何其他非传输介质，可用于存储可以被计算设备访问的信息。按照本文中的界定，计算机可读介质不包括暂存电脑可读媒体(transitory media)，如调制的数据信号和载波。
还需要说明的是，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、商品或者设备不仅包 括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、商品或者设备所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括所述要素的过程、方法、商品或者设备中还存在另外的相同要素。
本领域技术人员应明白，本申请的实施例可提供为方法、系统或计算机程序产品。因此，本申请可采用完全硬件实施例、完全软件实施例或结合软件和硬件方面的实施例的形式。而且，本申请可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。
以上所述仅为本申请的实施例而已，并不用于限制本申请。对于本领域技术人员来说，本申请可以有各种更改和变化。凡在本申请的精神和原理之内所作的任何修改、等同替换、改进等，均应包含在本申请的权利要求范围之内。

Claims (19)

  1. 一种商户配送范围的调整方法，其特征在于，包括：
    获取预设时间段内的历史订单，根据所述历史订单中的数据划分用户群，并将每个历史订单归类到对应的用户群中；
    根据当前商户的信息和归类到用户群的历史订单的数据，在所述用户群中，确定对应当前商户的待调整的用户群；
    将所述待调整的用户群展现给所述当前商户，以使所述当前商户根据所述待调整的用户群调整商户配送范围。
  2. 根据权利要求1所述的方法，其特征在于，所述待调整的用户群包括：待删除的用户群或者待提高配送费的用户群，所述根据当前商户的信息和归类到用户群的历史订单的数据，在所述用户群中，确定对应当前商户的待调整的用户群，包括：
    获取当前商户的原始配送范围，在所述用户群中选择属于原始配送范围的用户群，得到选择后的用户群；
    根据归类到用户群的历史订单的数据，计算每个选择后的用户群的收益消耗比，以及，根据当前商户的位置和每个选择后的用户群的位置，计算当前商户与每个选择后的用户群之间的距离；
    根据所述收益消耗比和所述距离，在所述选择后的用户群中确定待删除的用户群或者待提高配送费的用户群。
  3. 根据权利要求2所述的方法，其特征在于，所述根据所述收益消耗比和所述距离，在所述选择后的用户群中确定待删除的用户群或者待提高配送费的用户群，包括：
    根据所述收益消耗比，在所述选择后的用户群中，确定收益消耗比小于预设比值的用户群；
    判断收益消耗比小于预设比值的用户群是否在所述原始配送范围的边界附近；
    如果是，将所述收益消耗比小于预设比值的用户群确定为待删除的用户群。
  4. 根据权利要求3所述的方法，其特征在于，所述判断收益消耗比小于预设比值的用户群是否在所述原始配送范围的边界附近，包括：
    计算收益消耗比小于预设比值的用户群与所述当前商户之间的距离，得到商户与用户群间的距离；
    如果所述用户群与商户间的距离大于预设距离，在所述原始配送范围中选择与所述收益消耗比小于预设比值的用户群距离最近的点作为边界点，并计算所述当前商户与所述边界点之间的距离，得到商户与边界点间的距离；
    计算所述商户与用户群间的距离与所述商户与边界点间的距离的比值，如果所述比值大于预设值，确定收益消耗比小于预设比值的用户群在所述原始配送范围的边界附近。
  5. 根据权利要求2所述的方法，其特征在于，所述根据所述收益消耗比和所述距离，在所述选择后的用户群中确定待删除的用户群或者待提高配送费的用户群，包括：
    根据每个选择后的用户群的位置与当前商户的位置，计算每个选择后的用户群与当前商户之间的距离；
    如果所述距离大于预设距离，计算对应的用户群的收益消耗比；
    如果所述收益消耗比小于预设比值，将所述对应的用户群确定为待提高配送费的用户群。
  6. 根据权利要求5所述的方法，其特征在于，还包括：
    在提高对应的用户群的配送费后，经过预设时间后，如果所述收益消耗比还小于预设比值，将所述对应的用户群确定为待删除的用户群。
  7. 根据权利要求1所述的方法，其特征在于，所述待调整的用户群包括：待通过扩大配送范围覆盖的用户群，所述根据当前商户的信息和归类到用户群的历史订单的数据，在所述用户群中，确定对应当前商户的待调整 的用户群，包括：
    根据归类到用户群的历史订单的数据，在所述用户群中确定活跃用户群；
    获取当前商户的原始配送范围；
    如果所述活跃用户群不属于所述原始配送范围，且满足适宜扩大范围的预设条件时，将所述活跃用户群确定为待通过扩大配送范围覆盖的用户群。
  8. 根据权利要求7所述的方法，其特征在于，所述根据归类到用户群的历史订单的数据，在所述用户群中确定活跃用户群，包括：
    根据归类到用户群的历史订单的数量，计算每个用户群的日均单量；
    将日均单量大于预设值的用户群，确定为活跃用户群。
  9. 根据权利要求7所述的方法，其特征在于，还包括：
    在所述活跃用户群不属于所述原始配送范围后，计算活跃用户群与当前商户之间的距离；
    如果所述距离在预设距离内，判断所述活跃用户群内是否存在与所述当前商户同品牌的商户；
    如果不存在，确定所述活跃用户群满足适宜扩大范围的预设条件。
  10. 一种商户配送范围的调整装置，其特征在于，包括：
    获取模块，用于获取预设时间段内的历史订单，根据所述历史订单中的数据划分用户群，并将每个历史订单归类到对应的用户群中；
    确定模块，用于根据当前商户的信息和归类到用户群的历史订单的数据，在所述用户群中，确定对应当前商户的待调整的用户群；
    展现模块，用于将所述待调整的用户群展现给所述当前商户，以使所述当前商户根据所述待调整的用户群调整商户配送范围。
  11. 根据权利要求10所述的装置，其特征在于，所述待调整的用户群包括：待删除的用户群或者待提高配送费的用户群，所述确定模块包括：
    第一单元，用于获取当前商户的原始配送范围，在所述用户群中选择 属于原始配送范围的用户群，得到选择后的用户群；
    第二单元，用于根据归类到用户群的历史订单的数据，计算每个选择后的用户群的收益消耗比，以及，根据当前商户的位置和每个选择后的用户群的位置，计算当前商户与每个选择后的用户群之间的距离；
    第三单元，用于根据所述收益消耗比和所述距离，在所述选择后的用户群中确定待删除的用户群或者待提高配送费的用户群。
  12. 根据权利要求11所述的装置，其特征在于，所述第三单元具体用于：
    根据所述收益消耗比，在所述选择后的用户群中，确定收益消耗比小于预设比值的用户群；
    判断收益消耗比小于预设比值的用户群是否在所述原始配送范围的边界附近；
    如果是，将所述收益消耗比小于预设比值的用户群确定为待删除的用户群。
  13. 根据权利要求12所述的装置，其特征在于，所述第三单元用于判断收益消耗比小于预设比值的用户群是否在所述原始配送范围的边界附近，包括：
    计算收益消耗比小于预设比值的用户群与所述当前商户之间的距离，得到商户与用户群间的距离；
    如果所述用户群与商户间的距离大于预设距离，在所述原始配送范围中选择与所述收益消耗比小于预设比值的用户群距离最近的点作为边界点，并计算所述当前商户与所述边界点之间的距离，得到商户与边界点间的距离；
    计算所述商户与用户群间的距离与所述商户与边界点间的距离的比值，如果所述比值大于预设值，确定收益消耗比小于预设比值的用户群在所述原始配送范围的边界附近。
  14. 根据权利要求11所述的装置，其特征在于，所述第三单元具体用 于：
    根据每个选择后的用户群的位置与当前商户的位置，计算每个选择后的用户群与当前商户之间的距离；
    如果所述距离大于预设距离，计算对应的用户群的收益消耗比；
    如果所述收益消耗比小于预设比值，将所述对应的用户群确定为待提高配送费的用户群。
  15. 根据权利要求14所述的装置，其特征在于，所述第三单元还用于：
    在提高对应的用户群的配送费后，经过预设时间后，如果所述收益消耗比还小于预设比值，将所述对应的用户群确定为待删除的用户群。
  16. 根据权利要求10所述的装置，其特征在于，所述待调整的用户群包括：待通过扩大配送范围覆盖的用户群，所述确定模块具体用于：
    根据归类到用户群的历史订单的数据，在所述用户群中确定活跃用户群；
    获取当前商户的原始配送范围；
    如果所述活跃用户群不属于所述原始配送范围，且满足适宜扩大范围的预设条件时，将所述活跃用户群确定为待通过扩大配送范围覆盖的用户群。
  17. 根据权利要求16所述的装置，其特征在于，所述确定模块用于根据归类到用户群的历史订单的数据，在所述用户群中确定活跃用户群，包括：
    根据归类到用户群的历史订单的数量，计算每个用户群的日均单量；
    将日均单量大于预设值的用户群，确定为活跃用户群。
  18. 根据权利要求16所述的装置，其特征在于，所述确定模块还用于：
    在所述活跃用户群不属于所述原始配送范围后，计算活跃用户群与当前商户之间的距离；
    如果所述距离在预设距离内，判断所述活跃用户群内是否存在与所述当前商户同品牌的商户；
    如果不存在，确定所述活跃用户群满足适宜扩大范围的预设条件。
  19. 一种商户配送范围的调整装置，其特征在于，包括：存储器和处理器；其中，
    所述存储器用于存储一条或多条计算机指令，其中，所述一条或多条计算机指令供所述处理器调用执行；
    所述处理用于：获取预设时间段内的历史订单，根据所述历史订单中的数据划分用户群，并将每个历史订单归类到对应的用户群中；根据当前商户的信息和归类到用户群的历史订单的数据，在所述用户群中，确定对应当前商户的待调整的用户群；将所述待调整的用户群展现给所述当前商户，以使所述当前商户根据所述待调整的用户群调整商户配送范围。
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Families Citing this family (27)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105825360A (zh) * 2016-03-31 2016-08-03 北京小度信息科技有限公司 商户配送范围的调整方法和装置
CN106920056A (zh) * 2017-02-27 2017-07-04 广州云移信息科技有限公司 多个门店配送范围智能设定方法及终端
CN107451673B (zh) * 2017-06-14 2019-05-14 北京小度信息科技有限公司 配送区域划分方法和装置
CN109214613A (zh) * 2017-06-29 2019-01-15 北京京东尚科信息技术有限公司 一种自动分配任务的方法、装置、电子设备以及存储介质
CN110033336B (zh) * 2018-01-11 2024-01-16 北京京东尚科信息技术有限公司 用于确定地址的方法和装置
CN108460630B (zh) * 2018-02-12 2021-11-02 广州虎牙信息科技有限公司 基于用户数据进行分类分析的方法和装置
CN110264293B (zh) * 2018-03-12 2024-03-05 北京京东尚科信息技术有限公司 匹配程度的确定方法、装置和计算机可读存储介质
CN110570136B (zh) * 2018-05-17 2021-11-02 北京三快在线科技有限公司 配送范围确定方法、装置、电子设备以及存储介质
CN110659849B (zh) * 2018-06-28 2021-07-06 北京三快在线科技有限公司 业务覆盖区域的确定方法、装置及电子设备
CN110766500A (zh) * 2018-07-27 2020-02-07 北京京东尚科信息技术有限公司 服务区域的确定方法和装置
CN110874777A (zh) * 2018-08-30 2020-03-10 北京嘀嘀无限科技发展有限公司 一种订单处理方法及装置
CN110969382A (zh) * 2018-09-28 2020-04-07 北京三快在线科技有限公司 一种配送范围的确定方法及装置
CN109242401B (zh) * 2018-11-20 2020-12-15 拉扎斯网络科技（上海）有限公司 配送范围的设置方法、装置、电子设备和可读存储介质
CN109636013B (zh) * 2018-11-27 2021-06-29 拉扎斯网络科技（上海）有限公司 配送范围的生成方法、装置、电子设备和存储介质
CN109615122B (zh) * 2018-11-27 2021-02-02 拉扎斯网络科技（上海）有限公司 配送范围的生成方法、装置、电子设备和存储介质
CN109598430B (zh) * 2018-11-28 2021-01-08 拉扎斯网络科技（上海）有限公司 配送范围生成方法、装置、电子设备和存储介质
CN109670008B (zh) * 2018-12-20 2021-01-22 拉扎斯网络科技（上海）有限公司 信息展示方法、装置、电子设备及存储介质
CN109658034B (zh) * 2018-12-28 2022-03-29 拉扎斯网络科技（上海）有限公司 配送范围生成方法、配送压力调节方法、装置及服务器
CN109711783A (zh) * 2018-12-28 2019-05-03 拉扎斯网络科技（上海）有限公司 配送范围的生成方法、装置、服务器及存储介质
CN111754151A (zh) * 2019-03-29 2020-10-09 北京三快在线科技有限公司 一种路径规划方法及装置
CN110544159B (zh) * 2019-09-09 2021-02-12 拉扎斯网络科技（上海）有限公司 一种地图信息处理方法、装置、可读存储介质和电子设备
CN110659858A (zh) * 2019-09-11 2020-01-07 达疆网络科技(上海)有限公司 一种解决跨江、跨桥配送范围过长的方法
CN111985865B (zh) * 2020-07-01 2021-05-14 爱创互联网(深圳)有限公司 订单接收与配送管理方法、管理平台及终端设备
CN111915256B (zh) * 2020-07-31 2023-09-26 上海寻梦信息技术有限公司 构建派件围栏的方法、异地签收识别方法及相关设备
CN112488636A (zh) * 2020-12-18 2021-03-12 浪潮软件股份有限公司 一种物流配送任务的均衡调度方法
CN113034087B (zh) * 2021-04-16 2023-01-31 拉扎斯网络科技（上海）有限公司 区域修正方法、装置、电子设备、存储介质及程序产品
WO2023017529A1 (en) * 2021-08-10 2023-02-16 Shailesh GUPTA Methods and systems for efficiently managing products and services in the supply chain

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8015081B1 (en) * 2007-05-01 2011-09-06 Hector Franco Supply-chain management system
CN104599088A (zh) * 2015-02-13 2015-05-06 北京嘀嘀无限科技发展有限公司 基于订单的调度方法和调度系统
CN104599218A (zh) * 2015-01-29 2015-05-06 北京嘀嘀无限科技发展有限公司 用于确定订单接收范围的方法和设备
CN104751271A (zh) * 2015-03-04 2015-07-01 径圆（上海）信息技术有限公司 智能订单调度方法、服务器、电动车、移动终端及系统
CN104766188A (zh) * 2014-01-02 2015-07-08 中国移动通信集团江苏有限公司 一种物流配送的方法及系统
CN105825360A (zh) * 2016-03-31 2016-08-03 北京小度信息科技有限公司 商户配送范围的调整方法和装置

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004213161A (ja) * 2002-12-27 2004-07-29 Japan Tobacco Inc 配達エリアシミュレーションシステムおよびその方法とプログラム
CN103646291A (zh) * 2013-11-14 2014-03-19 成都博约创信科技有限责任公司 基于手机微信的点餐系统
CN103646290A (zh) * 2013-11-14 2014-03-19 成都博约创信科技有限责任公司 基于手机微信的点餐系统及方法
CN104820915A (zh) * 2015-05-12 2015-08-05 福建省智慧物联网研究院有限责任公司 一种个性化定制的微信智慧配送管理系统
CN105205701A (zh) * 2015-09-22 2015-12-30 创点客（北京）科技有限公司 一种网络动态定价方法和系统
US10176448B1 (en) * 2015-12-30 2019-01-08 Square, Inc. Generation of dynamic delivery zones for merchants

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8015081B1 (en) * 2007-05-01 2011-09-06 Hector Franco Supply-chain management system
CN104766188A (zh) * 2014-01-02 2015-07-08 中国移动通信集团江苏有限公司 一种物流配送的方法及系统
CN104599218A (zh) * 2015-01-29 2015-05-06 北京嘀嘀无限科技发展有限公司 用于确定订单接收范围的方法和设备
CN104599088A (zh) * 2015-02-13 2015-05-06 北京嘀嘀无限科技发展有限公司 基于订单的调度方法和调度系统
CN104751271A (zh) * 2015-03-04 2015-07-01 径圆（上海）信息技术有限公司 智能订单调度方法、服务器、电动车、移动终端及系统
CN105825360A (zh) * 2016-03-31 2016-08-03 北京小度信息科技有限公司 商户配送范围的调整方法和装置

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