WO2019071842A1 - 订单处理方法、装置、设备及计算机可读存储介质 - Google Patents

订单处理方法、装置、设备及计算机可读存储介质 Download PDF

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Publication number
WO2019071842A1
WO2019071842A1 PCT/CN2017/118783 CN2017118783W WO2019071842A1 WO 2019071842 A1 WO2019071842 A1 WO 2019071842A1 CN 2017118783 W CN2017118783 W CN 2017118783W WO 2019071842 A1 WO2019071842 A1 WO 2019071842A1
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Prior art keywords
duration
item
destination
time
user
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PCT/CN2017/118783
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English (en)
French (fr)
Inventor
史晓琳
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北京小度信息科技有限公司
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Publication of WO2019071842A1 publication Critical patent/WO2019071842A1/zh

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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
    • 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
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
    • G06Q30/0635—Processing of requisition or of purchase orders
    • 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/12—Hotels or restaurants

Definitions

  • the embodiments of the present disclosure relate to the field of computer application technologies, and in particular, to an order processing method, apparatus, device, and computer readable storage medium.
  • the inventors have found that in the related art, when the user sets the specific time distribution under the online O2O service mode, the user estimates the appropriate delivery time and delivery time, and the user's own estimation is usually difficult to accurately Determining the right time, causing trouble for the user, the inaccurate estimation will also result in inappropriate delivery time and affect the user experience.
  • an embodiment of the present disclosure provides an order processing method, apparatus, device, and computer readable storage medium, to avoid the trouble of the user estimating the delivery time by himself, and also to make the delivery time of the item provider suitable for The time the user arrives at the destination, thus improving the user experience.
  • a first aspect of an embodiment of the present disclosure provides an order processing method, including:
  • the order processing of the item is performed in response to the determination result that the first time length matches the second time length.
  • the predicting the first time duration from the current time to the time when the user arrives at the destination includes:
  • the first duration is determined based on the current time, the current geographic location of the user, the geographic location of the destination, and the course of action and speed of action of the user from the current geographic location to the destination.
  • the determining whether the first duration is matched with the second duration includes:
  • the performing the item in response to the determining result that the first duration is matched with the second duration Order processing including:
  • the order processing of the item is performed based on a calculation result that the difference obtained by subtracting the second duration from the first duration is less than the threshold.
  • the performing the order processing of the item includes:
  • the user is prompted to place an order with the item provider for order assignment.
  • the predicting the second time period for the item to be delivered from the location of the item provider to the destination comprises:
  • the second duration is determined according to the historical delivery duration.
  • a second aspect of an embodiment of the present disclosure provides an order processing apparatus, including:
  • a prediction module configured to predict a first duration from a current time to a time when the user arrives at the destination and a second duration to deliver the item from the location of the item provider to the destination;
  • a determining module configured to determine whether the first duration is matched with the second duration, wherein the first duration is greater than or equal to the second duration
  • the execution module is configured to execute an order process of the item in response to a calculation result that the first time length matches the second time length.
  • the prediction module includes:
  • a first determining submodule configured to determine, according to a current time, a current geographic location of the user, a geographic location of the destination, and a course of action and a speed of action of the user from the current geographic location to the destination The first time.
  • the determining module includes:
  • a calculation submodule configured to calculate whether the difference obtained by subtracting the second duration from the second duration is within a threshold range
  • a second determining submodule configured to determine whether the first duration and the second duration match according to a calculation result that the difference obtained by subtracting the second duration from the second duration is within a threshold range .
  • the executing module includes:
  • the execution submodule is configured to execute the order processing of the item based on a calculation result that the difference obtained by subtracting the second duration from the first duration is less than the threshold.
  • the performing the order processing of the item includes:
  • the user is prompted to place an order with the item provider for order assignment.
  • the prediction module includes:
  • An acquisition sub-module configured to obtain a history delivery time for delivering any item from the location of the item provider to the destination;
  • the third determining submodule is configured to determine the second duration according to the historical delivery duration.
  • a third aspect of an embodiment of the present disclosure provides an electronic device comprising a memory and a processor; wherein the memory is for storing one or more computer instructions, wherein the one or more computer instructions are processed
  • the apparatus is implemented to implement the method of any of the first to fifth implementations of the first aspect, the first aspect.
  • a fourth aspect of an embodiment of the present disclosure provides a computer instruction that is stored thereon, and when the computer instruction is executed by a processor, implements any of the first to fifth implementations of the first aspect, the first aspect, The method described.
  • the embodiment of the present disclosure by predicting a first duration from a current time to a time when the user arrives at the destination and a second duration of delivering the item from the location of the item provider to the destination; determining the first duration and the Whether the second duration is matched, wherein the first duration is greater than or equal to the second duration; and in response to the determination result that the first duration matches the second duration, performing an order processing of the item, The trouble of the user's own estimation of the delivery time can be avoided, and the delivery time of the item provider can be made suitable for the time when the user arrives at the destination, thus improving the user experience.
  • FIG. 1 shows a flow chart of an order processing method according to an embodiment of the present disclosure
  • FIG. 2 shows a flow chart of an order processing method according to another embodiment of the present disclosure
  • FIG. 3 is a flow chart showing one embodiment of step S102 in the order processing method according to the embodiment shown in FIG. 1 of the present disclosure
  • FIG. 4 illustrates a flowchart of an order processing method according to still another embodiment of the present disclosure
  • FIG. 5 illustrates a flowchart of one embodiment of step S101 in an order processing method according to still another embodiment of the present disclosure
  • FIG. 6 illustrates a schematic diagram of an application scenario of an order processing method according to an exemplary embodiment of the present disclosure
  • FIG. 7 is a block diagram showing the structure of an order processing apparatus according to an embodiment of the present disclosure.
  • FIG. 8 is a block diagram showing the structure of an order processing apparatus according to another embodiment of the present disclosure.
  • FIG. 9 is a block diagram showing the structure of an embodiment of the determining module 702 in the order processing apparatus according to the embodiment shown in FIG. 7 of the present disclosure.
  • FIG. 10 is a block diagram showing the structure of an order processing apparatus according to still another embodiment of the present disclosure.
  • FIG. 11 is a block diagram showing the structure of an embodiment of a prediction module 701 in an order processing apparatus according to still another embodiment of the present disclosure
  • FIG. 12 is a block diagram showing the structure of an order processing apparatus according to an embodiment of the present disclosure.
  • FIG. 13 is a block diagram of a computer system suitable for implementing an order processing method in accordance with an embodiment of the present disclosure.
  • the online shopping or take-out service process has been considered as a relatively mature and established mode, which supports setting a specific time delivery, that is, setting a specific time delivery, rather than immediately delivering an order after the order is placed to meet The user is unable to receive the goods or meals at the destination immediately due to personal inconvenience.
  • setting time estimates and selections for delivery at a particular time is less convenient for the user.
  • FIG. 1 shows a flow chart of an order processing method according to an embodiment of the present disclosure.
  • the method can include steps S101, S102, and S103.
  • step S101 a first time period from the current time to the time when the user arrives at the destination and a second time length from the item provider's location to the destination are predicted.
  • step S102 it is determined whether the first duration and the second duration match, wherein the first duration is greater than or equal to the second duration.
  • step S103 the order processing of the item is executed in response to the determination result that the first time length matches the second time length.
  • the order may be an order for a shopping or take-out O2O service.
  • executing the order processing of the item includes automatically placing an order with the item provider and making an order assignment; or prompting the user to place an order with the item provider for order distribution. That is, in response to the determination result that the first duration matches the second duration, the order may be automatically placed to the item provider and an order assignment may be made to instruct the item provider or the delivery person to deliver the item specified by the user to the destination, or , prompting the user to place an order with the item provider for order allocation. Therefore, the user can avoid the trouble of estimating the delivery time by himself, and can also make the delivery time of the item provider suitable for the time when the user arrives at the destination, thereby improving the user experience.
  • the first duration from the current time to the time the user arrives at the destination and the second duration from which the item is delivered to the destination from the item provider location may be predicted in various ways.
  • the related art online map service can predict the first duration from the current time to the time when the user arrives at the destination.
  • the electronic map application of the related art mobile terminal can predict the first duration from the current time to the time when the user arrives at the destination.
  • the second duration may be obtained from an item provider or an O2O business service provider.
  • the item provider or O2O business service provider will provide an item delivery time after the item provider is selected.
  • the second duration may be predicted using an online map service of the related art.
  • the second duration may be predicted using an electronic map application of the related art mobile terminal.
  • the user does not need to reserve the delivery time of the item provider, but can allow the item provider to immediately deliver the item.
  • matching the first duration to the second duration refers to the fact that the user is at a time when the distance arrives at the destination suitable for order processing of the item.
  • order processing of an item may refer to processing an order to the item provider or reminding the item provider to place an order.
  • the user needs a first time of 80 minutes to reach the destination from the current time, and the corresponding item provider is within the second time of 30 minutes. It is then possible to deliver the item to the destination.
  • the mobile terminal APP based on the method of the embodiment of the present disclosure does not immediately place an order, but always acquires the first duration, and determines whether the first duration is matched with the 30 minutes of the second duration. For example, when the first duration is changed from 80 minutes to 30 minutes, that is, when the user has 30 minutes left from the destination, it is determined that the first duration matches the second duration of 30 minutes.
  • the mobile terminal APP of the method of the embodiment of the present disclosure performs order processing such as placing an order with the item provider, so that the user can receive the item delivered by the item provider when the destination is just arrived.
  • the first duration may be changed from 80 minutes to 35 minutes, that is, when the user has 35 minutes left from the destination, it is determined that the first duration matches the second duration of 30 minutes.
  • the mobile terminal APP of the method of the embodiment of the present disclosure performs order processing such as placing an order with the item provider, so that the item provider has already delivered the item to the destination earlier when the user arrives at the destination, so that the user The items in the order can be obtained immediately.
  • the delivery of the item provider is slightly delayed, the user can be assured that the item is received as soon as possible.
  • step S101 in response to the determination result that the first duration obtained in step S102 does not match the second duration, the re-predicting from the current time to the arrival of the destination in step S101 The first duration of the moment and the second duration of delivery of the item from the location of the item provider to the destination.
  • steps S101 and S102 are repeatedly executed until the determination result of the first duration obtained in step S102 matches the second duration, and the order processing of the article is further executed in step S103.
  • An order processing method by predicting a first duration from a current time to a time when the user arrives at the destination and a second duration of delivering the item from the location of the item provider to the destination; determining the first Whether the duration is matched with the second duration, wherein the first duration is greater than or equal to the second duration; and in response to the determination that the first duration matches the second duration, an order for the item is executed.
  • the processing can avoid the trouble of the user estimating the delivery time by himself, and can also make the delivery time of the item provider suitable for the time when the user arrives at the destination, thereby improving the user experience.
  • FIG. 2 illustrates a flow chart of an order processing method according to another embodiment of the present disclosure.
  • the order processing method of the embodiment shown in FIG. 2 differs from the order processing method of the embodiment shown in FIG. 1 in that step S101 in the order processing method of the embodiment shown in FIG. 2 includes step S201.
  • step S201 the first duration is determined according to the current time, the current geographic location of the user, the geographical location of the destination, and the action route and the action speed of the user from the current geographic location to the destination.
  • an electronic map or an online map in the related art may be utilized, according to the current time, the current geographic location of the user, the geographical location of the destination, and the action route of the user from the current geographic location to the destination.
  • the speed of action to calculate the length of time that the user needs to reach the destination from the current time, that is, the first duration.
  • the current geographic location of the user may be determined by a positioning method such as GPS (Global Positioning System) or base station positioning in the related art.
  • the speed of the user's travel from the current geographic location to the destination may be determined by a positioning manner such as GPS or base station positioning in the related art, or may be based on a user-selected action manner, for example, It can be determined by taking the subway, walking, etc., and can also be determined based on both the positioning method and the action mode.
  • a positioning manner such as GPS or base station positioning in the related art
  • a user-selected action manner for example, It can be determined by taking the subway, walking, etc., and can also be determined based on both the positioning method and the action mode.
  • the first duration is determined by the action route and the action speed according to the current time, the current geographic location of the user, the geographical location of the destination, and the user going from the current geographic location to the destination, and thus
  • the user can avoid the trouble of estimating the delivery time by himself, and can obtain the matching result of the first duration and the second duration more accurately, and can make the delivery time of the item provider suitable for the time when the user arrives at the destination, thereby improving the user experience.
  • FIG. 3 is a flow chart showing one embodiment of step S102 in the order processing method according to the embodiment shown in FIG. 1 of the present disclosure. As shown in FIG. 3, step 102 includes steps S301 and S302.
  • step S301 it is calculated whether the difference obtained by subtracting the second duration from the first duration is within a threshold range.
  • step S302 it is determined whether the first duration and the second duration match according to the calculation result of whether the difference obtained by subtracting the second duration from the first duration is within the threshold range.
  • the threshold is 5 minutes
  • the difference obtained by subtracting the second duration from the first duration is 5 minutes, ie, Within a 5 minute threshold range.
  • the threshold is 5 minutes
  • the difference between the first duration and the second duration is 50 minutes, that is, , not within the 5 minute threshold.
  • the threshold is 0 minutes
  • the difference obtained by subtracting the second duration from the first duration is 0 minutes, it is determined that the first duration matches the second duration.
  • the threshold may be set by the user or may be set by default using software or hardware systems that employ an order processing method in accordance with an embodiment of the present disclosure. Those skilled in the art will appreciate that the threshold can be set to any value.
  • FIG. 4 illustrates a flow chart of an order processing method according to still another embodiment of the present disclosure.
  • the order processing method of the embodiment shown in FIG. 4 differs from the order processing method of the embodiment shown in FIG. 1 in that step S103 in the order processing method of the embodiment shown in FIG. 4 includes step S401.
  • step S401 the order processing of the item is executed based on the calculation result of the difference obtained by subtracting the second time length from the first time length within the threshold range.
  • the threshold is 5 minutes
  • the difference obtained by subtracting the second duration from the first duration is 5 minutes, ie, Within a 5 minute threshold range.
  • the order processing method of the embodiment of the present disclosure by performing the order processing of the item within the threshold range based on the calculation result of the difference obtained by subtracting the second time length from the first time length, the user can avoid the trouble of estimating the delivery time by himself or herself.
  • the delivery time of the item provider is made suitable for the time the user arrives at the destination, thus improving the user experience.
  • FIG. 5 illustrates a flow chart of one embodiment of step S101 in an order processing method according to still another embodiment of the present disclosure. As shown in FIG. 5, step S101 includes steps S501 and S502.
  • step S501 a history delivery time for delivering an arbitrary item from the location of the article provider to the destination is acquired.
  • step S502 the second duration is determined according to the historical delivery duration.
  • the item provider since the item provider may have delivered the item to the destination multiple times, there may be a historical time record of the item being delivered multiple times. It can be understood that the item for historically dispensing for determining the second duration is not limited to the item involved in the order processing, and may be any other item as long as the destination is delivered from the location of the item provider.
  • the median of the respective values of the historical duration of the item provider to deliver the item to the destination may be determined as the second duration.
  • the average of the respective values of the historical duration of the item provider to deliver the item to the destination may be determined as the second duration.
  • An order processing method by acquiring a history delivery time for delivering an arbitrary item from the location of the article provider to the destination; determining the second duration according to the historical delivery duration, the article may be provided
  • the delivery time of the party is suitable for the time when the user arrives at the destination, thus improving the user experience.
  • FIG. 6 illustrates a schematic diagram of an application scenario of an order processing method according to an exemplary embodiment of the present disclosure.
  • the application scenario shown in FIG. 6 is an example of a scenario in which an order processing method according to an embodiment of the present disclosure is applied to a take-out O2O service.
  • the application when the user is in a mobile state such as riding a bicycle, the application can be opened.
  • the off-site smart ordering function that is, initiating a order processing method according to an embodiment of the present disclosure for ordering a meal.
  • the application can track the user's location and moving speed by GPS, and calculate the first duration of the user from the destination.
  • the duration of the whole process that is, the first duration at this time, may be, for example, 60 minutes.
  • the application can place a late order.
  • the application determines a second duration of delivery from the takeaway merchant to the destination, for example, 30 minutes.
  • the application determines whether the first duration matches the second duration, that is, whether the difference between the first duration and the second duration is zero.
  • the application determines if the first duration matches the second duration.
  • the app issues the order placed by the user to the merchant (send order). This eliminates the need for the user to constantly calculate when they need to place an order to be able to dine in time when they arrive at their destination.
  • the application can make a smart reminder order.
  • the application can determine a second duration of delivery from the takeaway merchant to the destination, for example, 30 minutes.
  • the application determines whether the first duration matches the second duration, that is, whether the difference between the first duration and the second duration is zero.
  • the application determines if the first duration matches the second duration.
  • the app alerts the user to place an order with the merchant. In this way, the user can be ordered by the reminder of the application when the meal is needed, without the user reminding himself, thus facilitating the user and improving the user experience.
  • FIG. 7 is a block diagram showing the structure of an order processing apparatus according to an embodiment of the present disclosure.
  • the apparatus can include a prediction module 701, a determination module 702, and an execution module 703.
  • the prediction module 701 is configured to predict a first duration from a current time to a time when the user arrives at the destination and a second duration to deliver the item from the location of the item provider to the destination.
  • the determining module 702 is configured to determine whether the first duration and the second duration match, wherein the first duration is greater than or equal to the second duration.
  • the execution module 703 is configured to execute an order process of the item in response to the determination result that the first time length matches the second time length.
  • the order may be an order for a shopping or take-out O2O service.
  • executing the order processing of the item includes automatically placing an order with the item provider and making an order assignment; or prompting the user to place an order with the item provider for order distribution. That is, in response to the determination result that the first duration matches the second duration, the order may be automatically placed to the item provider and an order assignment may be made to instruct the item provider or the delivery person to deliver the item specified by the user to the destination, or , prompting the user to place an order with the item provider for order allocation. Therefore, the user can avoid the trouble of estimating the delivery time by himself, and can also make the delivery time of the item provider suitable for the time when the user arrives at the destination, thereby improving the user experience.
  • the first duration from the current time to the time the user arrives at the destination and the second duration from which the item is delivered to the destination from the item provider location may be predicted in various ways.
  • the related art online map service can predict the first duration from the current time to the time when the user arrives at the destination.
  • the electronic map application of the related art mobile terminal can predict the first duration from the current time to the time when the user arrives at the destination.
  • the second duration may be obtained from an item provider or an O2O business service provider.
  • the item provider or O2O business service provider will provide an item delivery time after the item provider is selected.
  • the second duration may be predicted using an online map service of the related art.
  • the second duration may be predicted using an electronic map application of the related art mobile terminal.
  • the user does not need to reserve the delivery time of the item provider, but can allow the item provider to immediately deliver the item.
  • matching the first duration to the second duration refers to the fact that the user is at a time when the distance arrives at the destination suitable for order processing of the item.
  • order processing of an item may refer to processing an order to an item provider or reminding the item provider to place an order.
  • the user needs a first time of 80 minutes to reach the destination from the current time, and the corresponding item provider is within the second time of 30 minutes. It is then possible to deliver the item to the destination.
  • the mobile terminal APP based on the embodiment of the present disclosure does not immediately place an order, but always acquires the first duration, and determines whether the first duration is matched with the 30 minutes of the second duration. For example, when the first duration is changed from 80 minutes to 30 minutes, that is, when the user has 30 minutes left from the destination, it is determined that the first duration matches the second duration of 30 minutes.
  • the mobile terminal APP of the apparatus of the embodiment of the present disclosure performs order processing such as placing an order to the item provider, so that the user can receive the item delivered by the item provider when the destination is just arrived.
  • the first duration may be changed from 80 minutes to 35 minutes, that is, when the user has 35 minutes left from the destination, it is determined that the first duration matches the second duration of 30 minutes.
  • the mobile terminal APP of the apparatus of the embodiment of the present disclosure performs order processing such as placing an order to the item provider, so that the item provider has already delivered the item to the destination earlier when the user arrives at the destination, so that the user The items in the order can be obtained immediately.
  • the delivery of the item provider is slightly delayed, the user can be assured that the item is received as soon as possible.
  • the prediction module 701 when the determining module 702 determines that the first duration does not match the second duration, the prediction module 701 re-predicts the first duration from the current time to the time when the user arrives at the destination. And a second duration of delivery of the item from the location of the item provider to the destination. In this case, the prediction module 701 and the determination module 702 are repeatedly operated until the determination module 702 determines that the first duration matches the second duration, and the execution module 703 performs the order processing of the item.
  • An order processing apparatus by a prediction module, for predicting a first duration from a current time to a time when the user arrives at the destination and a second duration of delivering the item from the location of the item provider to the destination; a determining module, configured to determine whether the first duration is matched with the second duration, where the first duration is greater than or equal to the second duration; and the executing module is configured to execute the determination result that matches the first duration and the second duration
  • the order processing of the item can avoid the trouble of the user estimating the delivery time by himself, and can also make the delivery time of the item provider suitable for the time when the user arrives at the destination, thereby improving the user experience.
  • FIG. 8 shows a block diagram of a structure of an order processing apparatus according to another embodiment of the present disclosure.
  • the order processing apparatus of the embodiment shown in FIG. 8 is different from the order processing apparatus of the embodiment shown in FIG. 7 in that the prediction module 701 in the order processing apparatus of the embodiment shown in FIG. 8 includes a first determination sub-module 801. .
  • the first determining sub-module 801 is configured to determine the first duration according to the current time, the current geographic location of the user, the geographic location of the destination, and the action route and the action speed of the user from the current geographic location to the destination.
  • an electronic map or an online map in the related art may be utilized, according to the current time, the current geographic location of the user, the geographical location of the destination, and the action route of the user from the current geographic location to the destination.
  • the speed of action to calculate the length of time that the user needs to reach the destination from the current time, that is, the first duration.
  • the current geographic location of the user may be determined by a positioning method such as GPS or base station positioning in the related art.
  • the speed of the user's travel from the current geographic location to the destination may be determined by a positioning manner such as GPS or base station positioning in the related art, or may be based on a user-selected action manner, for example, It can be determined by taking the subway, walking, etc., and can also be determined based on both the positioning method and the action mode.
  • a positioning manner such as GPS or base station positioning in the related art
  • a user-selected action manner for example, It can be determined by taking the subway, walking, etc., and can also be determined based on both the positioning method and the action mode.
  • the order processing apparatus determines the first duration by the action route and the action speed according to the current time, the current geographic location of the user, the geographic location of the destination, and the user from the current geographic location to the destination, and thus The user can avoid the trouble of estimating the delivery time by himself, and can obtain the matching result of the first duration and the second duration more accurately, and can make the delivery time of the item provider suitable for the time when the user arrives at the destination, thereby improving the user experience.
  • FIG. 9 is a block diagram showing the structure of one embodiment of the determining module 702 in the order processing apparatus according to the embodiment shown in FIG. 7 of the present disclosure.
  • the determination module 702 includes a calculation sub-module 901 and a second determination sub-module 902.
  • the calculation sub-module 901 is configured to calculate whether the difference obtained by subtracting the second duration from the first duration is within a threshold range.
  • the second determining sub-module 902 is configured to determine whether the first duration and the second duration match according to a calculation result of whether the difference obtained by subtracting the second duration from the first duration is within a threshold range.
  • the threshold is 5 minutes
  • the difference obtained by subtracting the second duration from the first duration is 5 minutes, ie, Within a 5 minute threshold range.
  • the threshold is 5 minutes
  • the difference between the first duration and the second duration is 50 minutes, that is, , not within the 5 minute threshold.
  • the threshold is 0 minutes
  • the difference obtained by subtracting the second duration from the first duration is 0 minutes, it is determined that the first duration matches the second duration.
  • the threshold may be set by the user or may be set by default using software or hardware systems of the order processing apparatus according to an embodiment of the present disclosure. Those skilled in the art will appreciate that the threshold can be set to any value.
  • the calculation sub-module is configured to calculate whether the difference obtained by subtracting the second duration from the second duration is within a threshold range, and the second determining sub-module is configured to reduce the first duration based on the first duration Whether the difference obtained by the second duration is within a threshold range determines whether the first duration and the second duration match, which can avoid the user's own trouble of estimating the delivery time, and can also make the delivery time of the item provider suitable for the user. The time to reach the destination, thus improving the user experience.
  • FIG. 10 is a block diagram showing the structure of an order processing apparatus according to still another embodiment of the present disclosure.
  • the order processing apparatus of the embodiment shown in FIG. 10 differs from the order processing apparatus of the embodiment shown in FIG. 7 in that the execution module 703 in the order processing apparatus of the embodiment shown in FIG. 10 includes an execution sub-module 1001.
  • the execution sub-module 1001 is configured to execute the order processing of the item based on the calculation result that the difference obtained by subtracting the second duration from the first duration is within the threshold range.
  • the threshold is 5 minutes
  • the difference obtained by subtracting the second duration from the first duration is 5 minutes, ie, Within a 5 minute threshold range.
  • the order processing apparatus of the embodiment of the present disclosure by performing the order processing of the item within the threshold range based on the calculation result of the difference obtained by subtracting the second time length from the first time length, the user can avoid the trouble of estimating the delivery time by himself, and The delivery time of the item provider is made suitable for the time the user arrives at the destination, thus improving the user experience.
  • FIG. 11 is a block diagram showing the structure of one embodiment of a prediction module 701 in an order processing apparatus according to still another embodiment of the present disclosure.
  • the prediction module 701 includes an acquisition sub-module 1101 and a third determination module 1102.
  • the acquisition sub-module 1101 is configured to obtain a history delivery time for delivering an arbitrary item from the location of the item provider to the destination.
  • the third determining sub-module 1102 is configured to determine the second duration according to the historical delivery duration.
  • the item provider since the item provider may have delivered the item to the destination multiple times, there may be a historical time record of the item being delivered multiple times. It can be understood that the item for historically dispensing for determining the second duration is not limited to the item involved in the order processing, and may be any other item as long as the destination is delivered from the location of the item provider.
  • the median of the respective values of the historical duration of the item provider to deliver the item to the destination may be determined as the second duration.
  • the average of the respective values of the historical duration of the item provider to deliver the item to the destination may be determined to be the second duration.
  • the prediction module includes: an acquisition sub-module for acquiring a history delivery time for delivering an arbitrary item from a location where the article provider is located; a third determination sub-module for The delivery duration determines the second duration, which can make the delivery time of the item provider suitable for the time the user arrives at the destination, thus improving the user experience.
  • the structure of the order processing apparatus can be implemented as an order processing apparatus.
  • the processing apparatus 1200 can include a processor 1201 and a memory. 1202.
  • the memory 1202 is configured to store a program that supports an order processing apparatus executing an order processing method in any of the above embodiments, the processor 1201 being configured to execute a program stored in the memory 1202.
  • the memory 1202 is for storing one or more computer instructions, wherein the one or more computer instructions are executed by the processor 1201.
  • the processor 1201 is configured to perform all or part of the steps of the foregoing method steps.
  • the structure of the order processing device may further include a communication interface for the order processing device to communicate with other devices or a communication network.
  • the exemplary embodiments of the present disclosure also provide a computer storage medium for storing computer software instructions for use in the order processing apparatus, including programs for performing the order processing method in any of the above embodiments.
  • FIG. 13 is a block diagram of a computer system suitable for implementing an order processing method in accordance with an embodiment of the present disclosure.
  • computer system 1300 includes a central processing unit (CPU) 1301 that can be loaded into a program in random access memory (RAM) 1303 from a program stored in read only memory (ROM) 1302 or from storage portion 1308.
  • CPU central processing unit
  • RAM random access memory
  • ROM read only memory
  • storage portion 1308 stores data.
  • the CPU 1301, the ROM 1302, and the RAM 1303 are connected to each other through a bus 1304.
  • An input/output (I/O) interface 1305 is also coupled to bus 1304.
  • the following components are connected to the I/O interface 1305: an input portion 1306 including a keyboard, a mouse, etc.; an output portion 1307 including a cathode ray tube (CRT), a liquid crystal display (LCD), and the like, and a speaker; a storage portion 1308 including a hard disk or the like And a communication portion 1309 including a network interface card such as a LAN card, a modem, or the like.
  • the communication section 1309 performs communication processing via a network such as the Internet.
  • Driver 1310 is also connected to I/O interface 1305 as needed.
  • a removable medium 1311 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory or the like is mounted on the drive 1310 as needed so that a computer program read therefrom is installed into the storage portion 1308 as needed.
  • an embodiment of the present disclosure includes a computer program product comprising a computer program tangibly embodied on a readable medium therewith, the computer program comprising program code for performing the data processing method of FIG.
  • the computer program can be downloaded and installed from the network via the communication portion 1309, and/or installed from the removable medium 1311.
  • each block in the diagram or block diagram can represent a module, a program segment, or a portion of code that includes one or more of Executable instructions.
  • the functions noted in the blocks may also occur in a different order than that illustrated in the drawings. For example, two successively represented blocks may in fact be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending upon the functionality involved.
  • each block of the block diagrams and/or flowcharts, and combinations of blocks in the block diagrams and/or flowcharts can be implemented in a dedicated hardware-based system that performs the specified function or operation. Or it can be implemented by a combination of dedicated hardware and computer instructions.
  • the units or modules described in the embodiments of the present disclosure may be implemented by software or by hardware.
  • the described units or modules may also be provided in a processor, the names of which do not in any way constitute a limitation of the unit or module itself.
  • the present disclosure further provides a computer readable storage medium, which may be a computer readable storage medium included in the apparatus in the above embodiment; or may exist separately, not A computer readable storage medium that is assembled into the device.
  • a computer readable storage medium stores one or more programs that are used by one or more processors to perform the methods described in the present disclosure.

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Abstract

本公开实施例提供一种订单处理方法、装置、设备及计算机可读存储介质，在本公开实施例的技术方案中，预测从当前时刻至用户到达目的地的时刻的第一时长以及将物品从物品提供方所在地送达所述目的地的第二时长；确定所述第一时长与所述第二时长是否相匹配，其中，所述第一时长大于或等于所述第二时长；响应于所述第一时长与所述第二时长相匹配的确定结果，执行所述物品的订单处理，因此可以避免用户自己估计配送时间的麻烦，还可以使得物品提供方的配送时间适合于用户到达目的地的时间，因此提升了用户体验。

Description

订单处理方法、装置、设备及计算机可读存储介质
相关申请的交叉引用
本申请要求于2017年10月12日提交的中国专利申请号为“CN2017109489322”的优先权，其全部内容作为整体并入本申请中。
技术领域
本公开实施例涉及计算机应用技术领域，尤其涉及一种订单处理方法、装置、设备及计算机可读存储介质。
背景技术
随着互联网技术的快速发展，基于互联网的应用越来越多，例如外卖类应用、购物类应用。基于这些应用，用户足不出户即可获取自己所需的物品。例如，基于购物O2O(线上到线下)行业的发展，线上购物或外卖的服务流程已经形成相对成熟和既定的模式，在某些情况下，可以设定特定时间配送，而非下单后即时配送服务，以满足用户因个人不便无法在目的地即时收取货品或餐品的需求。但是，设定特定时间配送的时间估算和选择对于用户不太方便。
发明内容
在实际应用中，发明人发现：相关技术中，在用户使用线上O2O服务模式下设定特定时间配送时，用户自己预估合适的配送时间和送达时间，用户自己的估计通常难以准确地确定合适的时间，因此给用户造成了麻烦，预估不准确还会导致配送时间不合适，影响用户体验。
为了解决上述技术问题，本公开实施例提供了一种订单处理方法、装置、设备及计算机可读存储介质，用以避免用户自己估计配送时间的麻烦，还可以使得物品提供方的配送时间适合于用户到达目的地的时间，因此提升了用户体验。
本公开实施例的第一方面提供了一种订单处理方法，包括：
预测从当前时刻至用户到达目的地的时刻的第一时长以及将物品从物品提供方所在地送达所述目的地的第二时长；
确定所述第一时长与所述第二时长是否相匹配，其中，所述第一时长大于或等于所述第二时长；
响应于所述第一时长与所述第二时长相匹配的确定结果，执行所述物品的订单处理。
结合第一方面，本公开在第一方面的第一种实现方式中，所述预测从当前时刻至用户到达目的地的时刻的第一时长，包括：
根据当前时刻、用户的当前地理位置、所述目的地的地理位置和所述用户从当前地理位置去往所述目的地的行动路线和行动速度，确定所述第一时长。
结合第一方面，本公开在第一方面的第二种实现方式中，所述确定所述第一时长与所述第二时长是否相匹配，包括：
计算所述第一时长减所述第二时长所得到的差值是否在阈值范围内；
基于所述第一时长减所述第二时长所得到的差值是否在阈值范围内的计算结果，确定所述第一时长与所述第二时长是否相匹配。
结合第一方面的第二种实现方式，本公开在第一方面的第三种实现方式中，所述响应于所述第一时长与所述第二时长相匹配的确定结果，执行所述物品的订单处理，包括：
基于所述第一时长减所述第二时长所得到的差值小于所述阈值的计算结果，执行所述物品的订单处理。
结合第一方面，本公开在第一方面的第四种实现方式中，所述执行所述物品的订单处理包括：
自动向所述物品提供方下订单，并进行订单分配；
或者，
提示用户向所述物品提供方下订单，以便进行订单分配。
结合第一方面，本公开在第一方面的第五种实现方式中，所述预测将物品从物品提供方所在地送达所述目的地的第二时长，包括：
获取将任意物品从物品提供方所在地送达所述目的地的历史送达时长；
根据所述历史送达时长确定所述第二时长。
本公开实施例的第二方面提供了一种订单处理装置，包括：
预测模块，被配置为预测从当前时刻至用户到达目的地的时刻的第一时长以及将物品从物品提供方所在地送达所述目的地的第二时长；
确定模块，被配置为确定所述第一时长与所述第二时长是否相匹配，其中，所述第一时长大于或等于所述第二时长；
执行模块，被配置为响应于所述第一时长与所述第二时长相匹配的计算结果，执行所述物品的订单处理。
结合第二方面，本公开在第二方面的第一种实现方式中，所述预测模块包括：
第一确定子模块，被配置为根据当前时刻、用户的当前地理位置、目的地的地理位置和所述用户从所述当前地理位置去往所述目的地的行动路线和行动速度，确定所述第一时长。
结合第二方面，本公开在第二方面的第二种实现方式中，所述确定模块包括：
计算子模块，被配置为计算所述第一时长减所述第二时长所得到的差值是否在阈值范围内；
第二确定子模块，被配置为基于所述第一时长减所述第二时长所得到的差值是否在阈值范围内的计算结果，确定所述第一时长与所述第二时长是否相匹配。
结合第二方面的第二种实现方式，本公开在第二方面的第三种实现方式中，所述执行模块包括：
执行子模块，被配置为基于所述第一时长减所述第二时长所得到的差值小于所述阈值的计算结果，执行所述物品的订单处理。
结合第二方面，本公开在第二方面的第四种实现方式中，所述执行所述物品的订单处理包括：
自动向所述物品提供方下订单，并进行订单分配；
或者，
提示用户向所述物品提供方下订单，以便进行订单分配。
结合第二方面，本公开在第二方面的第五种实现方式中，所述预测模块包括：
获取子模块，被配置为获取将任意物品从物品提供方所在地送达所述目的地的历史送达时长；
第三确定子模块，被配置为根据所述历史送达时长确定所述第二时长。
本公开实施例的第三方面提供了一种电子设备，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被所述处理器执行以实现如第一方面、第一方面的第一种实现方式至第五种实现方式任一项所述的方法。
本公开实施例的第四方面提供了其上存储有计算机指令，该计算机指令被处理器执行时实现如第一方面、第一方面的第一种实现方式至第五种实现方式任一项所述的方法。
通过本公开实施例，通过预测从当前时刻至用户到达目的地的时刻的第一时长以及将物品从物品提供方所在地送达所述目的地的第二时长；确定所述第一时长与所述第二时长是否相匹配，其中，所述第一时长大于或等于所述第二时长；响应于所述第一时长与所述第二时长相匹配的确定结果，执行所述物品的订单处理，可以避免用户自己估计配送时间的麻烦，还可以使得物品提供方的配送时间适合于用户到达目的地的时间，因此提升了用户体验。
本公开的这些方面或其他方面在以下实施例的描述中会更加简明易懂。
附图说明
为了更清楚地说明本公开实施例或相关技术中的技术方案，下面将对示例性实施例或相关技术描述中所需要使用的附图作一简单地介绍，显而易见地，下面描述中的附图是本公开的一些示例性实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1示出根据本公开一实施方式的订单处理方法的流程图；
图2示出根据本公开另一实施方式的订单处理方法的流程图；
图3示出根据本公开图1所示实施方式的订单处理方法中的步骤S102的一个实施方式的流程图；
图4示出根据本公开又一实施方式的订单处理方法的流程图；
图5示出根据本公开又一实施方式的订单处理方法中的步骤S101的一个实施方式的流程图；
图6示出根据本公开一示例性实施方式的订单处理方法的应用场景的示意图；
图7示出根据本公开一实施方式的订单处理装置的结构框图；
图8示出根据本公开另一实施方式的订单处理装置的结构框图；
图9示出根据本公开图7所示实施方式的订单处理装置中的确定模块702的一个实施方式的结构框图；
图10示出根据本公开又一实施方式的订单处理装置的结构框图；
图11示出根据本公开又一实施方式的订单处理装置中的预测模块701的一 个实施方式的结构框图；
图12示出根据本公开一实施方式的订单处理设备的结构框图；
图13是适于用来实现根据本公开一实施方式的订单处理方法的计算机系统的结构示意图。
具体实施方式
为了使本技术领域的人员更好地理解本公开方案，下面将结合本公开示例性实施例中的附图，对本公开示例性实施例中的技术方案进行清楚、完整地描述。
在本公开的说明书和权利要求书及上述附图中的描述的一些流程中，包含了按照特定顺序出现的多个操作，但是应该清楚了解，这些操作可以不按照其在本文中出现的顺序来执行或并行执行，操作的序号如101、102等，仅仅是用于区分开各个不同的操作，序号本身不代表任何的执行顺序。另外，这些流程可以包括更多或更少的操作，并且这些操作可以按顺序执行或并行执行。需要说明的是，本文中的“第一”、“第二”等描述，是用于区分不同的消息、设备、模块等，不代表先后顺序，也不限定“第一”和“第二”是不同的类型。
正如背景技术中所述，线上购物或外卖的服务流程已经想成相对成熟和既定的模式，支持设定特定时间配送，即设定特定时间配送，而非下单后即时配送服务，以满足用户因个人不便无法在目的地即时收取货品或餐品的需求。但是，设定特定时间配送的时间估算和选择对于用户不太方便。
下面将结合本公开示例性实施例中的附图，对本公开示例性实施例中的技术方案进行清楚、完整地描述，显然，所描述的示例性实施例仅仅是本公开一部分实施例，而不是全部的实施例。基于本公开中的实施例，本领域技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本公开保护的范围。
图1示出根据本公开一实施方式的订单处理方法的流程图。该方法可以包括步骤S101、S102和S103。
在步骤S101中，预测从当前时刻至用户到达目的地的时刻的第一时长以及将物品从物品提供方所在地送达所述目的地的第二时长。
在步骤S102中，确定第一时长与第二时长是否相匹配，其中，第一时长大于或等于第二时长。
在步骤S103中，响应于第一时长与第二时长相匹配的确定结果，执行物品 的订单处理。
在本公开的一个实施例中，订单可以是购物或外卖O2O业务的订单。在本公开的一个实施例中，执行物品的订单处理包括：自动向物品提供方下订单，并进行订单分配；或者，提示用户向物品提供方下订单，以便进行订单分配。即，响应于第一时长与第二时长相匹配的确定结果，可以自动向物品提供方下订单并进行订单分配以指示物品提供方或配送员将用户指定的物品送到所述目的地，或者，提示用户向物品提供方下订单，以便进行订单分配。因此，可以避免用户自己估计配送时间的麻烦，还可以使得物品提供方的配送时间适合于用户到达目的地的时间，提升了用户体验。
在本公开的一个实施例中，可以通过各种方式预测从当前时刻至用户到达目的地的时刻的第一时长以及将物品从物品提供方所在地送达所述目的地的第二时长。例如，相关技术的在线地图服务可以预测从当前时刻至用户到达目的地的时刻的第一时长。又例如，相关技术的移动终端的电子地图应用可以预测从当前时刻至用户到达目的地的时刻的第一时长。
在本公开的一个实施例中，第二时长可以从物品提供方或O2O业务服务提供方获取。例如，在使用相关技术的在线购物或外卖应用或APP时，在选定物品提供方后，物品提供方或O2O业务服务提供方会提供一个物品送达的时间。在本公开的一个实施例中，第二时长可以利用相关技术的在线地图服务预测。在本公开的一个实施例中，第二时长可以利用相关技术的移动终端的电子地图应用进行预测。
在本公开的一个实施例中，在第一时长大于或等于第二时长的情况下，才需要确定第一时长与第二时长是否相匹配。在第一时长小于第二时长的情况下，用户无需预约物品提供方的配送时间，而是可以让物品提供方立即进行配送。
在本公开的一个实施例中，第一时长与第二时长相匹配指的是用户处于距离到达目的地的时刻适合于进行物品的订单处理。例如，物品的订单处理可以指的是向物品提供方下单或提醒向物品提供方下单等处理。
在一个利用基于本公开的实施例的移动终端APP进行购物的示例中，从当前时刻起，用户需要80分钟的第一时长到达目的地，而相应的物品提供方在30分钟的第二时长内就可以将物品配送到所述目的地。此时，基于本公开实施例的方法的移动终端APP并不立刻下单，而是一直获取第一时长，确定第一时长与 第二时长的30分钟是否相匹配。例如，当第一时长从80分钟变成30分钟，即，用户距离目的地还剩30分钟路程时，确定第一时长与第二时长30分钟匹配。此时，本公开的实施例的方法的移动终端APP执行诸如向物品提供方下订单的订单处理就可以使得用户在正好到达目的地时收到物品提供方配送的物品。又例如，可以在第一时长从80分钟变成35分钟，即，用户距离目的地还剩35分钟路程时，确定第一时长与第二时长30分钟匹配。此时，本公开的实施例的方法的移动终端APP执行诸如向物品提供方下订单的订单处理就可以使得用户在到达目的地时物品提供方已经稍早地将物品配送到目的地，使得用户可以立即取得订单中的物品。另一方面，在此情况下，即使物品提供方的配送略有延迟也可以保证用户尽快收到物品。
在本公开的一个实施例中，如图1所示，响应于在步骤S102中得到的第一时长与第二时长不匹配的确定结果，在步骤S101中重新预测从当前时刻至用户到达目的地的时刻的第一时长以及将物品从物品提供方所在地送达所述目的地的第二时长。在此情况下，反复执行步骤S101和S102，直到在步骤S102中得到的第一时长与第二时长相匹配的确定结果，进而在步骤S103中执行物品的订单处理。
根据本公开实施例的订单处理方法，通过预测从当前时刻至用户到达目的地的时刻的第一时长以及将物品从物品提供方所在地送达所述目的地的第二时长；确定所述第一时长与所述第二时长是否相匹配，其中，所述第一时长大于或等于所述第二时长；响应于所述第一时长与所述第二时长相匹配的确定结果，执行物品的订单处理，可以避免用户自己估计配送时间的麻烦，还可以使得物品提供方的配送时间适合于用户到达目的地的时间，因此提升了用户体验。
图2示出根据本公开另一实施方式的订单处理方法的流程图。图2所示的实施方式的订单处理方法与图1所示的实施方式的订单处理方法的区别在于，图2所示的实施方式的订单处理方法中的步骤S101包括步骤S201。
在步骤S201中，根据当前时刻、用户的当前地理位置、目的地的地理位置和用户从当前地理位置去往目的地的行动路线和行动速度，确定第一时长。
在本公开的一个实施例中，可以利用相关技术中的电子地图或在线地图，根据当前时刻、用户的当前地理位置、目的地的地理位置和用户从当前地理位置去往目的地的行动路线和行动速度，来计算用户从当前时刻起到达目的地所需的时 长，即，第一时长。在本公开的一个实施例中，用户的当前地理位置可以通过相关技术中的GPS(环球定位系统)或基站定位等定位方式来确定。在本公开的一个实施例中，用户从当前地理位置去往目的地的行动速度可以通过相关技术中的GPS或基站定位等定位方式来确定，也可以通过基于用户选定的行动方式，例如，乘坐地铁、步行等，来确定，还可以基于定位方式与行动方式二者来确定。本领域技术人员可以理解，由于户从当前地理位置去往目的地可以采用各种不同的行动方式，其行动速度可能在不同的时刻变得不同。
根据本公开实施例的订单处理方法，通过对根据当前时刻、用户的当前地理位置、目的地的地理位置和用户从当前地理位置去往目的地的行动路线和行动速度，确定第一时长，因此能够避免用户自己估计配送时间的麻烦，还可以更加准确地得到第一时长与第二时长的匹配结果，可以使得物品提供方的配送时间适合于用户到达目的地的时间，因此提升了用户体验。
图3示出根据本公开图1所示实施方式的订单处理方法中的步骤S102的一个实施方式的流程图。如图3所示，步骤102包括步骤S301和S302。
在步骤S301中，计算第一时长减第二时长所得到的差值是否在阈值范围内。
在步骤S302中，基于第一时长减第二时长所得到的差值是否在阈值范围内的计算结果，确定第一时长与第二时长是否相匹配。
在本公开的一个实施例中，当阈值是5分钟时，如果第一时长是35分钟并且第二时长是30分钟，则第一时长减第二时长所得到的差值是5分钟，即，在5分钟的阈值范围内。此时，基于第一时长减第二时长所得到的差值在阈值范围内的计算结果，确定第一时长与第二时长相匹配。
在本公开的另一个实施例中，当阈值是5分钟时，如果第一时长是80分钟并且第二时长是30分钟，则第一时长减第二时长所得到的差值是50分钟，即，不在5分钟的阈值范围内。此时，基于第一时长减第二时长所得到的差值不在阈值范围内的计算结果，确定第一时长与第二时长不匹配。
在本公开的另一个实施例中，在阈值是0分钟的情况下，当第一时长减第二时长所得到的差值是0分钟时，确定第一时长与第二时长相匹配。
本领域技术人员可以理解，阈值可以是用户设置的，也可以是采用根据本公开实施例的订单处理方法的软件或硬件系统默认设置的。本领域技术人员可以理解，可以将阈值设定为任意值。
根据本公开实施例的订单处理方法，通过计算第一时长减第二时长所得到的差值是否在阈值范围内，基于第一时长减第二时长所得到的差值是否在阈值范围内的计算结果，确定第一时长与第二时长是否相匹配，可以避免用户自己估计配送时间的麻烦，还可以使得物品提供方的配送时间适合于用户到达目的地的时间，因此提升了用户体验。
图4示出根据本公开又一实施方式的订单处理方法的流程图。图4所示的实施方式的订单处理方法与图1所示的实施方式的订单处理方法的区别在于，图4所示的实施方式的订单处理方法中的步骤S103包括步骤S401。
在步骤S401中，基于第一时长减第二时长所得到的差值在阈值范围内的计算结果，执行物品的订单处理。
在本公开的一个实施例中，当阈值是5分钟时，如果第一时长是35分钟并且第二时长是30分钟，则第一时长减第二时长所得到的差值是5分钟，即，在5分钟的阈值范围内。此时，基于第一时长减第二时长所得到的差值在阈值范围内的计算结果，确定第一时长与第二时长相匹配，因此可以执行物品的订单处理，例如对物品提供方的下订单或提醒用户对物品提供方的下订单的处理。
根据本公开实施例的订单处理方法，通过基于第一时长减第二时长所得到的差值在阈值范围内的计算结果，执行物品的订单处理，可以避免用户自己估计配送时间的麻烦，还可以使得物品提供方的配送时间适合于用户到达目的地的时间，因此提升了用户体验。
图5示出根据本公开又一实施方式的订单处理方法中的步骤S101的一个实施方式的流程图。如图5所示，步骤S101包括步骤S501和S502。
在步骤S501中，获取将任意物品从物品提供方所在地送达所述目的地的历史送达时长。
在步骤S502中，根据所述历史送达时长确定所述第二时长。
在本公开的一个实施例中，由于物品提供方可能已经多次将物品送达目的地，因此，会存在物品多次送达的历史时长记录。可以理解，用于确定第二时长的历史上配送的物品不限于订单处理所涉及的物品，可以是其他任意物品，只要从物品提供方所在地送达目的地即可。在本公开的一个实施例中，可以将物品提供方将物品送达目的地的历史时长的各个值的中位数确定为第二时长。在本公开的一个实施例中，可以将物品提供方将物品送达目的地的历史时长的各个值的平均值 确定为第二时长。
根据本公开实施例的订单处理方法，通过获取将任意物品从物品提供方所在地送达所述目的地的历史送达时长；根据所述历史送达时长确定所述第二时长，可以使得物品提供方的配送时间适合于用户到达目的地的时间，因此提升了用户体验。
图6示出根据本公开一示例性实施方式的订单处理方法的应用场景的示意图。具体而言，图6所示的应用场景是根据本公开实施例的订单处理方法应用于外卖O2O业务的一个场景示例。
如图6所示，在用户使用应用了根据本公开实施例的订单处理方法的移动终端外卖O2O应用(APP)的情况下，当用户处于诸如骑自行车之类的移动状态时，可以打开该应用的异地智能订餐功能，即，启动根据本公开实施例的订单处理方法进行订餐。当用户在应用中确定了目的地时，该应用可以通过GPS跟踪用户的位置和移动速度，计算用户距离目的地的第一时长。在用户启动此应用时，全程的时长，即，此时的第一时长，可以是，例如，60分钟。
在一个示例中，当用户在该应用中确定了外卖商户并向该外卖商户下订单时，该应用可以进行延迟下单。此时，该应用确定从外卖商户送餐到目的地的第二时长，例如，30分钟。在跟踪用户的过程中，该应用确定第一时长与所述第二时长是否相匹配，即，第一时长和第二时长的差值是否为0。当第一时长变成了30分钟，该应用确定第一时长与所述第二时长是否相匹配。此时，该应用将用户所下的订单向外卖商户发出(派单)。这样无需用户不断计算何时需要下单才能刚好到达目的地时能及时用餐。
在另一个示例中，当用户在该应用中确定了外卖商户时，该应用可以进行智能提醒下单。此时，该应用可以确定从外卖商户送餐到目的地的第二时长，例如，30分钟。在跟踪用户的过程中，该应用确定第一时长与所述第二时长是否相匹配，即，第一时长和第二时长的差值是否为0。当第一时长变成了30分钟，该应用确定第一时长与所述第二时长是否相匹配。此时，该应用提醒用户向外卖商户下订单。这样，可以在需要订餐时受到该应用的提醒来进行点餐，无需用户自己提醒自己，因此方便了用户，提升了用户体验。
图7示出根据本公开一实施方式的订单处理装置的结构框图。该装置可以包括预测模块701、确定模块702和执行模块703。
预测模块701用于预测从当前时刻至用户到达目的地的时刻的第一时长以及将物品从物品提供方所在地送达所述目的地的第二时长。
确定模块702用于确定第一时长与第二时长是否相匹配，其中，第一时长大于或等于第二时长。
执行模块703用于响应于第一时长与第二时长相匹配的确定结果，执行物品的订单处理。
在本公开的一个实施例中，订单可以是购物或外卖O2O业务的订单。在本公开的一个实施例中，执行物品的订单处理包括：自动向物品提供方下订单，并进行订单分配；或者，提示用户向物品提供方下订单，以便进行订单分配。即，响应于第一时长与第二时长相匹配的确定结果，可以自动向物品提供方下订单并进行订单分配以指示物品提供方或配送员将用户指定的物品送到所述目的地，或者，提示用户向物品提供方下订单，以便进行订单分配。因此，可以避免用户自己估计配送时间的麻烦，还可以使得物品提供方的配送时间适合于用户到达目的地的时间，提升了用户体验。
在本公开的一个实施例中，可以通过各种方式预测从当前时刻至用户到达目的地的时刻的第一时长以及将物品从物品提供方所在地送达所述目的地的第二时长。例如，相关技术的在线地图服务可以预测从当前时刻至用户到达目的地的时刻的第一时长。又例如，相关技术的移动终端的电子地图应用可以预测从当前时刻至用户到达目的地的时刻的第一时长。
在本公开的一个实施例中，第二时长可以从物品提供方或O2O业务服务提供方获取。例如，在使用相关技术的在线购物或外卖应用或APP时，在选定物品提供方后，物品提供方或O2O业务服务提供方会提供一个物品送达的时间。在本公开的一个实施例中，第二时长可以利用相关技术的在线地图服务预测。在本公开的一个实施例中，第二时长可以利用相关技术的移动终端的电子地图应用进行预测。
在本公开的一个实施例中，在第一时长大于或等于第二时长的情况下，才需要确定第一时长与第二时长是否相匹配。在第一时长小于第二时长的情况下，用户无需预约物品提供方的配送时间，而是可以让物品提供方立即进行配送。
在本公开的一个实施例中，第一时长与第二时长相匹配指的是用户处于距离到达目的地的时刻适合于进行物品的订单处理。例如，物品的订单处理可以指的 是向物品提供方下单或提醒向物品提供方下单等处理。
在一个利用基于本公开的实施例的移动终端APP进行购物的示例中，从当前时刻起，用户需要80分钟的第一时长到达目的地，而相应的物品提供方在30分钟的第二时长内就可以将物品配送到所述目的地。此时，基于本公开实施例的移动终端APP并不立刻下单，而是一直获取第一时长，确定第一时长与第二时长的30分钟是否相匹配。例如，当第一时长从80分钟变成30分钟，即，用户距离目的地还剩30分钟路程时，确定第一时长与第二时长30分钟匹配。此时，本公开的实施例的装置的移动终端APP执行诸如向物品提供方下订单的订单处理就可以使得用户在正好到达目的地时收到物品提供方配送的物品。又例如，可以在第一时长从80分钟变成35分钟，即，用户距离目的地还剩35分钟路程时，确定第一时长与第二时长30分钟匹配。此时，本公开的实施例的装置的移动终端APP执行诸如向物品提供方下订单的订单处理就可以使得用户在到达目的地时物品提供方已经稍早地将物品配送到目的地，使得用户可以立即取得订单中的物品。另一方面，在此情况下，即使物品提供方的配送略有延迟也可以保证用户尽快收到物品。
在本公开的一个实施例中，如图7所示，当确定模块702确定第一时长与第二时长不匹配时，预测模块701重新预测从当前时刻至用户到达目的地的时刻的第一时长以及将物品从物品提供方所在地送达所述目的地的第二时长。在此情况下，预测模块701和确定模块702反复工作，直到确定模块702确定第一时长与第二时长相匹配，进而执行模块703执行物品的订单处理。
根据本公开实施例的订单处理装置，通过预测模块，用于预测从当前时刻至用户到达目的地的时刻的第一时长以及将物品从物品提供方所在地送达所述目的地的第二时长；确定模块，用于确定第一时长与第二时长是否相匹配，其中，第一时长大于或等于第二时长；执行模块，用于响应于第一时长与第二时长相匹配的确定结果，执行物品的订单处理，可以避免用户自己估计配送时间的麻烦，还可以使得物品提供方的配送时间适合于用户到达目的地的时间，因此提升了用户体验。
图8示出根据本公开另一实施方式的订单处理装置的结构框图。图8所示的实施方式的订单处理装置与图7所示的实施方式的订单处理装置的区别在于，图8所示的实施方式的订单处理装置中的预测模块701包括第一确定子模块801。
第一确定子模块801用于根据当前时刻、用户的当前地理位置、目的地的地理位置和用户从当前地理位置去往目的地的行动路线和行动速度，确定第一时长。
在本公开的一个实施例中，可以利用相关技术中的电子地图或在线地图，根据当前时刻、用户的当前地理位置、目的地的地理位置和用户从当前地理位置去往目的地的行动路线和行动速度，来计算用户从当前时刻起到达目的地所需的时长，即，第一时长。在本公开的一个实施例中，用户的当前地理位置可以通过相关技术中的GPS或基站定位等定位方式来确定。在本公开的一个实施例中，用户从当前地理位置去往目的地的行动速度可以通过相关技术中的GPS或基站定位等定位方式来确定，也可以通过基于用户选定的行动方式，例如，乘坐地铁、步行等，来确定，还可以基于定位方式与行动方式二者来确定。本领域技术人员可以理解，由于户从当前地理位置去往目的地可以采用各种不同的行动方式，其行动速度可能在不同的时刻变得不同。
根据本公开实施例的订单处理装置，通过对根据当前时刻、用户的当前地理位置、目的地的地理位置和用户从当前地理位置去往目的地的行动路线和行动速度，确定第一时长，因此能够避免用户自己估计配送时间的麻烦，还可以更加准确地得到第一时长与第二时长的匹配结果，可以使得物品提供方的配送时间适合于用户到达目的地的时间，因此提升了用户体验。
图9示出根据本公开图7所示实施方式的订单处理装置中的确定模块702的一个实施方式的结构框图。如图9所示，确定模块702包括计算子模块901和第二确定子模块902。
计算子模块901用于计算第一时长减第二时长所得到的差值是否在阈值范围内。
第二确定子模块902用于基于第一时长减第二时长所得到的差值是否在阈值范围内的计算结果，确定第一时长与第二时长是否相匹配。
在本公开的一个实施例中，当阈值是5分钟时，如果第一时长是35分钟并且第二时长是30分钟，则第一时长减第二时长所得到的差值是5分钟，即，在5分钟的阈值范围内。此时，基于第一时长减第二时长所得到的差值在阈值范围内的计算结果，确定第一时长与第二时长相匹配。
在本公开的另一个实施例中，当阈值是5分钟时，如果第一时长是80分钟并且第二时长是30分钟，则第一时长减第二时长所得到的差值是50分钟，即， 不在5分钟的阈值范围内。此时，基于第一时长减第二时长所得到的差值不在阈值范围内的计算结果，确定第一时长与第二时长不匹配。
在本公开的另一个实施例中，在阈值是0分钟的情况下，当第一时长减第二时长所得到的差值是0分钟时，确定第一时长与第二时长相匹配。
本领域技术人员可以理解，阈值可以是用户设置的，也可以是采用根据本公开实施例的订单处理装置的软件或硬件系统默认设置的。本领域技术人员可以理解，可以将阈值设定为任意值。
根据本公开实施例的订单处理装置，通过计算子模块，用于计算第一时长减第二时长所得到的差值是否在阈值范围内，第二确定子模块，用于基于第一时长减第二时长所得到的差值是否在阈值范围内的计算结果，确定第一时长与第二时长是否相匹配，可以避免用户自己估计配送时间的麻烦，还可以使得物品提供方的配送时间适合于用户到达目的地的时间，因此提升了用户体验。
图10示出根据本公开又一实施方式的订单处理装置的结构框图。图10所示的实施方式的订单处理装置与图7所示的实施方式的订单处理装置的区别在于，图10所示的实施方式的订单处理装置中的执行模块703包括执行子模块1001。
执行子模块1001用于基于第一时长减第二时长所得到的差值在阈值范围内的计算结果，执行物品的订单处理。
在本公开的一个实施例中，当阈值是5分钟时，如果第一时长是35分钟并且第二时长是30分钟，则第一时长减第二时长所得到的差值是5分钟，即，在5分钟的阈值范围内。此时，基于第一时长减第二时长所得到的差值在阈值范围内的计算结果，确定第一时长与第二时长相匹配，因此可以执行物品的订单处理，例如对物品提供方的下订单或提醒用户对物品提供方的下订单的处理。
根据本公开实施例的订单处理装置，通过基于第一时长减第二时长所得到的差值在阈值范围内的计算结果，执行物品的订单处理，可以避免用户自己估计配送时间的麻烦，还可以使得物品提供方的配送时间适合于用户到达目的地的时间，因此提升了用户体验。
图11示出根据本公开又一实施方式的订单处理装置中的预测模块701的一个实施方式的结构框图。如图11所示，预测模块701包括获取子模块1101和第三确定模块1102。
获取子模块1101用于获取将任意物品从物品提供方所在地送达目的地的历 史送达时长。
第三确定子模块1102用于根据历史送达时长确定第二时长。
在本公开的一个实施例中，由于物品提供方可能已经多次将物品送达目的地，因此，会存在物品多次送达的历史时长记录。可以理解，用于确定第二时长的历史上配送的物品不限于订单处理所涉及的物品，可以是其他任意物品，只要从物品提供方所在地送达目的地即可。在本公开的一个实施例中，可以将物品提供方将物品送达目的地的历史时长的各个值的中位数确定为第二时长。在本公开的一个实施例中，可以将物品提供方将物品送达目的地的历史时长的各个值的平均值确定为第二时长。
根据本公开实施例的订单处理装置，通过预测模块包括：获取子模块，用于获取将任意物品从物品提供方所在地送达目的地的历史送达时长；第三确定子模块，用于根据历史送达时长确定第二时长，可以使得物品提供方的配送时间适合于用户到达目的地的时间，因此提升了用户体验。
以上描述了订单处理装置的内部功能和结构，在一个可能的设计中，该订单处理装置的结构可实现为订单处理设备，如图12中所示，该处理设备1200可以包括处理器1201以及存储器1202。
所述存储器1202用于存储支持订单处理装置执行上述任一实施例中订单处理方法的程序，所述处理器1201被配置为用于执行所述存储器1202中存储的程序。
所述存储器1202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被所述处理器1201执行。
所述处理器1201用于执行前述各方法步骤中的全部或部分步骤。
其中，所述订单处理设备的结构中还可以包括通信接口，用于订单处理设备与其他设备或通信网络通信。
本公开示例性实施例还提供了一种计算机存储介质，用于储存所述订单处理装置所用的计算机软件指令，其包含用于执行上述任一实施例中订单处理方法所涉及的程序。
图13是适于用来实现根据本公开一实施方式的订单处理方法的计算机系统的结构示意图。
如图13所示，计算机系统1300包括中央处理单元(CPU)1301，其可以根 据存储在只读存储器(ROM)1302中的程序或者从存储部分1308加载到随机访问存储器(RAM)1303中的程序而执行上述图1所示的实施方式中的各种处理。在RAM1303中，还存储有系统1300操作所需的各种程序和数据。CPU1301、ROM1302以及RAM1303通过总线1304彼此相连。输入/输出(I/O)接口1305也连接至总线1304。
以下部件连接至I/O接口1305：包括键盘、鼠标等的输入部分1306；包括诸如阴极射线管(CRT)、液晶显示器(LCD)等以及扬声器等的输出部分1307；包括硬盘等的存储部分1308；以及包括诸如LAN卡、调制解调器等的网络接口卡的通信部分1309。通信部分1309经由诸如因特网的网络执行通信处理。驱动器1310也根据需要连接至I/O接口1305。可拆卸介质1311，诸如磁盘、光盘、磁光盘、半导体存储器等等，根据需要安装在驱动器1310上，以便于从其上读出的计算机程序根据需要被安装入存储部分1308。
特别地，根据本公开的实施方式，上文参考图1描述的方法可以被实现为计算机软件程序。例如，本公开的实施方式包括一种计算机程序产品，其包括有形地包含在及其可读介质上的计算机程序，所述计算机程序包含用于执行图1的数据处理方法的程序代码。在这样的实施方式中，该计算机程序可以通过通信部分1309从网络上被下载和安装，和/或从可拆卸介质1311被安装。
附图中的流程图和框图，图示了按照本公开各种实施方式的系统、方法和计算机程序产品的可能实现的体系架构、功能和操作。在这点上，路程图或框图中的每个方框可以代表一个模块、程序段或代码的一部分，所述模块、程序段或代码的一部分包含一个或多个用于实现规定的逻辑功能的可执行指令。也应当注意，在有些作为替换的实现中，方框中所标注的功能也可以以不同于附图中所标注的顺序发生。例如，两个接连地表示的方框实际上可以基本并行地执行，它们有时也可以按相反的顺序执行，这依所涉及的功能而定。也要注意的是，框图和/或流程图中的每个方框、以及框图和/或流程图中的方框的组合，可以用执行规定的功能或操作的专用的基于硬件的系统来实现，或者可以用专用硬件与计算机指令的组合来实现。
描述于本公开实施方式中所涉及到的单元或模块可以通过软件的方式实现，也可以通过硬件的方式来实现。所描述的单元或模块也可以设置在处理器中，这些单元或模块的名称在某种情况下并不构成对该单元或模块本身的限定。
作为另一方面，本公开还提供了一种计算机可读存储介质，该计算机可读存储介质可以是上述实施方式中所述装置中所包含的计算机可读存储介质；也可以是单独存在，未装配入设备中的计算机可读存储介质。计算机可读存储介质存储有一个或者一个以上程序，所述程序被一个或者一个以上的处理器用来执行描述于本公开的方法。
以上描述仅为本公开的较佳实施例以及对所运用技术原理的说明。本领域技术人员应当理解，本公开中所涉及的发明范围，并不限于上述技术特征的特定组合而成的技术方案，同时也应涵盖在不脱离所述发明构思的情况下，由上述技术特征或其等同特征进行任意组合而形成的其它技术方案。例如上述特征与本公开中公开的(但不限于)具有类似功能的技术特征进行互相替换而形成的技术方案。

Claims (14)

  1. 一种订单处理方法，包括：
    预测从当前时刻至用户到达目的地的时刻的第一时长以及将物品从物品提供方所在地送达所述目的地的第二时长；
    确定所述第一时长与所述第二时长是否相匹配，其中，所述第一时长大于或等于所述第二时长；
    响应于所述第一时长与所述第二时长相匹配的确定结果，执行所述物品的订单处理。
  2. 根据权利要求1所述的方法，其中，所述预测从当前时刻至用户到达目的地的时刻的第一时长，包括：
    根据当前时刻、用户的当前地理位置、所述目的地的地理位置和所述用户从当前地理位置去往所述目的地的行动路线和行动速度，确定所述第一时长。
  3. 根据权利要求1所述的方法，其中，所述确定所述第一时长与所述第二时长是否相匹配，包括：
    计算所述第一时长减所述第二时长所得到的差值是否在阈值范围内；
    基于所述第一时长减所述第二时长所得到的差值是否在阈值范围内的计算结果，确定所述第一时长与所述第二时长是否相匹配。
  4. 根据权利要求3所述的方法，其中，所述响应于所述第一时长与所述第二时长相匹配的确定结果，执行所述物品的订单处理，包括：
    基于所述第一时长减所述第二时长所得到的差值小于所述阈值的计算结果，执行所述物品的订单处理。
  5. 根据权利要求1所述的方法，其中，所述执行所述物品的订单处理包括：
    自动向所述物品提供方下订单，并进行订单分配；
    或者，
    提示用户向所述物品提供方下订单，以便进行订单分配。
  6. 根据权利要求1-5任一项所述的方法，其中，所述预测将物品从物品提供方所在地送达所述目的地的第二时长，包括：
    获取将任意物品从物品提供方所在地送达所述目的地的历史送达时长；
    根据所述历史送达时长确定所述第二时长。
  7. 一种订单处理装置，包括：
    预测模块，被配置为预测从当前时刻至用户到达目的地的时刻的第一时长以及将物品从物品提供方所在地送达所述目的地的第二时长；
    确定模块，被配置为确定所述第一时长与所述第二时长是否相匹配，其中，所述第一时长大于或等于所述第二时长；
    执行模块，被配置为响应于所述第一时长与所述第二时长相匹配的计算结果，执行所述物品的订单处理。
  8. 根据权利要求7所述的装置，其中，所述预测模块包括：
    第一确定子模块，被配置为根据当前时刻、用户的当前地理位置、目的地的地理位置和所述用户从所述当前地理位置去往所述目的地的行动路线和行动速度，确定所述第一时长。
  9. 根据权利要求7所述的装置，其中，所述确定模块包括：
    计算子模块，被配置为计算所述第一时长减所述第二时长所得到的差值是否在阈值范围内；
    第二确定子模块，被配置为基于所述第一时长减所述第二时长所得到的差值是否在阈值范围内的计算结果，确定所述第一时长与所述第二时长是否相匹配。
  10. 根据权利要求9所述的装置，其中，所述执行模块包括：
    执行子模块，被配置为基于所述第一时长减所述第二时长所得到的差值小于所述阈值的计算结果，执行所述物品的订单处理。
  11. 根据权利要求7所述的装置，其中，所述执行所述物品的订单处理包括：
    自动向所述物品提供方下订单，并进行订单分配；
    或者，
    提示用户向所述物品提供方下订单，以便进行订单分配。
  12. 根据权利要求7-11任一项所述的装置，其中，所述预测模块包括：
    获取子模块，被配置为获取将任意物品从物品提供方所在地送达所述目的地的历史送达时长；
    第三确定子模块，被配置为根据所述历史送达时长确定所述第二时长。
  13. 一种电子设备，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被所述处理器执行以实现如权利要求1-6任一项所述的方法。
  14. 一种计算机可读存储介质，其上存储有计算机指令，其中，该计算机指令被处理器执行时实现如权利要求1-6任一项所述的方法。
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CN107093048A (zh) * 2017-04-25 2017-08-25 广州麦海知识产权服务有限公司 一种大件商品库存调度方法及系统

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