CN113361883A - Distribution demand response method and device and electronic equipment - Google Patents
Distribution demand response method and device and electronic equipment Download PDFInfo
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Abstract
The application discloses a distribution demand response method, belongs to the technical field of computers, and is beneficial to improving distribution order fulfillment experience. The method comprises the following steps: responding to a user trigger display order submitting page, and acquiring a first delivery cost and a first delivery duration of a current order to be submitted; determining that the current distribution capacity state of the order distribution system is insufficient distribution capacity or sufficient distribution capacity; in response to the fact that the distribution capacity is insufficient, determining that the default distribution requirements matched with the users are delayed distribution or on-time distribution according to historical behavior data of the users; according to the default distribution demand, based on the first distribution cost and the first delivery time length, the distribution parameters such as the distribution cost and the delivery time length for the current order to be submitted are set in real time, and the distribution parameter real-time setting result for the current order to be submitted is displayed on the order submitting page. According to the distribution demand response method, the distribution parameters are set individually according to the user demands, and order fulfillment experience is improved.
Description
Technical Field
The embodiment of the application relates to the technical field of computers, in particular to a distribution demand response method, a distribution demand response device, electronic equipment and a computer-readable storage medium.
Background
Taking-out is a business with large demand fluctuation, and under the scenes of high peak at noon and night, severe weather and the like, the demand of a user is increased rapidly, but the transport capacity of a rider is relatively stable, so that the situation of imbalance of supply and demand occurs, for example, the transport capacity of the rider cannot meet the requirement of the increased user. When the supply and demand are unbalanced, the distribution duration is prolonged, namely, the order completion rate and the punctuality rate are reduced, and the fulfillment experience in the distribution area is obviously reduced. In the prior art, aiming at the state of unbalanced supply and demand caused by insufficient transport capacity, the initiative of transport capacity distribution is improved by dynamically adjusting distribution cost, so that the on-time rate of order distribution is improved, and the performance experience is improved. However, after the delivery cost is uniformly adjusted for the delivery orders submitted in the state of unbalanced transportation capacity supply and demand, the user experience is reduced for some users sensitive to the delivery cost.
It is therefore desirable to provide a delivery demand response method to enhance delivery order fulfillment experience.
Disclosure of Invention
The embodiment of the application provides a distribution demand response method which is beneficial to improving distribution order fulfillment experience.
In a first aspect, an embodiment of the present application provides a delivery demand response method, including:
responding to a user trigger display order submitting page, and acquiring a first delivery cost and a first delivery duration of a current order to be submitted;
determining the current distribution capacity state of an order distribution system, wherein the distribution capacity state is used for indicating that the distribution capacity of the order distribution system is insufficient or sufficient;
in response to the delivery capacity status indicating that the order delivery system delivery capacity is insufficient, determining a default delivery demand matched by the user according to historical behavior data of the user, wherein the delivery demand comprises: delayed delivery and on-time delivery;
according to the default distribution demand, setting distribution parameters aiming at the current order to be submitted in real time based on the first distribution cost and the first delivery duration, wherein the distribution parameters comprise the distribution cost and the delivery duration;
and displaying a real-time setting result of the distribution parameters for the current order to be submitted on the order submitting page.
In a second aspect, an embodiment of the present application provides a delivery demand response apparatus, including:
the system comprises an initial distribution parameter acquisition module, a first distribution parameter acquisition module and a second distribution parameter acquisition module, wherein the initial distribution parameter acquisition module is used for responding to a page for submitting an order triggered by a user and acquiring a first distribution cost and a first delivery duration of the current order to be submitted;
the order distribution system comprises a distribution capacity state determining module, a distribution capacity state determining module and a distribution capacity state determining module, wherein the distribution capacity state determining module is used for determining the current distribution capacity state of the order distribution system, and the distribution capacity state is used for indicating that the distribution capacity of the order distribution system is insufficient or the distribution capacity is sufficient;
a user delivery demand determining module, configured to determine, in response to the delivery capacity status indicating that the order delivery system delivery capacity is insufficient, a default delivery demand matched by the user according to historical behavior data of the user, where the delivery demand includes: delayed delivery and on-time delivery;
a distribution parameter setting module, configured to set, in real time, a distribution parameter for the current order to be submitted based on the first distribution cost and the first delivery duration according to the default distribution demand, where the distribution parameter includes a distribution cost and a delivery duration;
and the distribution parameter display module is used for displaying a distribution parameter real-time setting result aiming at the current order to be submitted on the order submitting page.
In a third aspect, an embodiment of the present application further discloses an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the distribution demand response method according to the embodiment of the present application when executing the computer program.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the steps of the delivery demand response method disclosed in the present application.
The distribution demand response method disclosed by the embodiment of the application acquires a first distribution cost and a first delivery duration of a current order to be submitted by responding to a user trigger display order submitting page; determining the current distribution capacity state of an order distribution system, wherein the distribution capacity state is used for indicating that the distribution capacity of the order distribution system is insufficient or sufficient; in response to the delivery capacity status indicating that the order delivery system delivery capacity is insufficient, determining a default delivery demand matched by the user according to historical behavior data of the user, wherein the delivery demand comprises: delayed delivery and on-time delivery; according to the default distribution demand, setting distribution parameters aiming at the current order to be submitted in real time based on the first distribution cost and the first delivery duration, wherein the distribution parameters comprise the distribution cost and the delivery duration; and displaying a real-time setting result of the delivery parameters for the current order to be submitted on the order submitting page, so that the delivery order fulfillment experience is promoted.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Fig. 1 is a flowchart of a distribution demand response method according to a first embodiment of the present application;
FIG. 2 is a schematic diagram illustrating a display effect of an order submission page according to an embodiment of the present disclosure;
FIG. 3 is a second schematic diagram illustrating the display effect of the order page according to the first embodiment of the present application;
fig. 4 is a schematic structural diagram of a second dispensing demand response apparatus according to the second embodiment of the present application;
fig. 5 is a second schematic structural diagram of a second distribution demand response apparatus according to a second embodiment of the present application;
FIG. 6 schematically shows a block diagram of an electronic device for performing a method according to the present application; and
fig. 7 schematically shows a storage unit for holding or carrying program code implementing a method according to the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Example one
As shown in fig. 1, a method for responding to a delivery demand disclosed in an embodiment of the present application includes: step 110 to step 150.
Step 110, responding to a user trigger, displaying an order submitting page, and acquiring a first delivery cost and a first delivery duration of the current order to be submitted.
The delivery demand response method in the embodiment of the present application is applied to an order placing application or system of an order that needs to be delivered immediately, for example, an outsourcing platform, a flash delivery application, and the like. Taking the takeaway platform as an example, when a user submits a takeaway order through a client of the takeaway platform, the user enters an order submitting page after selecting a takeaway food. In the prior art, the page for submitting an order shows the related information of the order to be submitted, such as the delivery address, the information of the receiver, the content of the order, the delivery cost, the estimated delivery time and the like.
That is, after the client displays the page information of the submitted order in response to the user trigger, the client first obtains the delivery cost of the current order to be submitted, namely the "first delivery cost" in the embodiment of the present application by calling an interface of a preset delivery cost calculation module according to the delivery address of the current order to be submitted, the current system time, the pickup address associated with the order content, and other information; meanwhile, an interface of a preset Estimated Time of Arrival (eta) calculation module is called to obtain the Estimated Time of Arrival of the current order to be submitted, namely, the "first Time of Arrival" in the embodiment of the present application.
For example, the preset distribution cost calculation module calculates distribution cost according to information such as the position of a merchant to be submitted currently, the position of a user, the current time, weather, the transportation capacity condition and the like; the preset distribution cost calculation module calculates distribution cost according to information such as the position of a merchant to be submitted with the order currently, the position of a user, the current time and the like; the preset estimated delivery time calculation module calculates the estimated delivery time according to the information of the position of a merchant, the position of a user, the current time, the weather, the transport capacity and the like of the current order to be submitted. The specific implementation of determining the delivery cost of the order by the preset delivery cost calculation module and determining the estimated delivery time of the order by the preset estimated delivery time calculation module is the prior art, and details are not described in the embodiment of the present application.
In the embodiment of the present application, it is also necessary to obtain the first delivery cost and the first delivery duration of the current order to be submitted.
And step 120, determining the current distribution capacity state of the order distribution system, wherein the distribution capacity state is used for indicating that the distribution capacity of the order distribution system is insufficient or sufficient.
And then, the client further determines the current distribution capacity state of the order distribution system, and displays different distribution parameter information to the user according to the current distribution capacity state of the order distribution system.
In an embodiment of the present application, the delivery capacity status of the order delivery system includes two statuses, wherein one status is used to indicate that the delivery capacity of the order delivery system is insufficient, and the other status is used to indicate that the delivery capacity of the order delivery system is sufficient.
In some embodiments of the present application, the determining the current delivery capacity status of the order delivery system includes: determining a distribution area matched with the current order to be submitted; if the average transport load in the distribution area is greater than a first preset load threshold value and the estimated distribution time of the orders in the future appointed time period in the distribution area is greater than a first preset time threshold value, determining that the current distribution transport capacity state of the order distribution system is insufficient; or if the number of orders which are not picked up within the distribution area due to overtime is larger than a first preset number threshold value, and the estimated distribution time length of the orders within a future specified time period in the distribution area is larger than the first preset time length threshold value, determining that the current distribution power state of the order distribution system is insufficient; the first preset load threshold is determined according to the average load of historical transport capacity in a supply and demand balanced state in the distribution area; the first preset time length threshold value is determined according to the average delivery time length of the historical orders in the corresponding time period under the balanced supply and demand state in the distribution area; the first preset quantity threshold value is determined according to the quantity of missed orders in the distribution area under the condition of historical average overtime under the condition of balanced supply and demand.
In some embodiments of the present application, since the waybill dispatching and the waybill scheduling are regional, the delivery waybill status of the order delivery system is determined with the delivery area as the minimum unit, that is, each delivery area evaluates the delivery waybill status according to the waybill quantity and the waybill quantity within the area of the delivery area. When the distribution capacity state of the order distribution system is determined, firstly, a distribution area matched with the order to be submitted currently is determined according to the merchant (goods picking address) and the distribution address of the order to be submitted currently. And then, further determining the current distribution capacity state of the distribution area according to the capacity and current status of the waybill of the distribution area and historical data.
In specific implementation, the method for determining the distribution capacity state is different under different freight bill distribution modes.
In order delivery systems where orders are served via a dispatch mode, capacity may not be rejected and, therefore, capacity pressure may be reflected from the load on capacity. Taking the transport capacity as an example of a rider, accumulating the average load of the rider when the distribution area is in a supply and demand balanced state in the past period (such as the past two weeks), and taking the amount of change of the specified load as a first preset load threshold; accumulating the variation of the specified time length by the average order arrival time length when the distribution area is in a supply and demand balanced state in each time period (for example, one time period is corresponding to every half hour) in the past time period (for example, two weeks), and taking the variation as a first preset time length threshold of the corresponding time period; then, determining the current online rider average load in the distribution area, and estimating the distribution duration of the order in a future period of time (such as 20 minutes in the future) in the distribution area; and then, comparing the current rider-average load in the distribution area with a first preset load threshold, comparing the estimated distribution time with a first preset time threshold matched with the current time period, and if the current rider-average load is greater than the first preset load threshold and the estimated distribution time is greater than the first preset time threshold matched with the current time period, determining that the distribution area is in a state of insufficient distribution capacity currently.
The value of the specified load variation is mainly determined according to statistical results of data such as regional rider rejection rate, order on-time delivery rate and the like. For example, if, for the delivery area a, when the average rider load of the delivery area a is higher than the historical average delivery load by 2 orders, the rider rejection order taking rate greatly increases and the order just-in-time delivery rate greatly decreases, the specified load variation amount of the delivery area a may be set to 2 orders.
The value of the specified duration variable quantity is mainly determined according to historical statistical data of the customer complaint quantity and the repeated purchase data of the user by the gaps of the regional experience and the historical experience. For example, if the customer complaint rate greatly increases and the frequency of user repeat purchases greatly decreases for the delivery area a when the current average delivery time of the delivery area a is longer than the historical average delivery time by more than 10 minutes, the specified time period variation amount of the delivery area a may be set to 10 minutes.
In order delivery systems where orders are dispatched via a combination of preemption and dispatch modes, capacity can be rejected and capacity pressure can therefore be reflected in the number of orders that have not been picked up over time in the delivery area. Taking the capacity as an example of the rider, the average number of waybills which are not received within the same timeout at the same time when the distribution area is in the supply and demand balanced state in the past period of time (for example, the past two weeks) can be used as a first preset number threshold; the variation of the specified time length can be accumulated in the average order delivery time length when the distribution area is in the balanced supply and demand state in each time period (for example, one time period is corresponding to every half hour) in the past time period (for example, two weeks) to be used as a first preset time length threshold of the corresponding time period; then, determining the number of orders which are not picked up within the current overtime in the distribution area, and predicting the distribution duration of the orders within a future period of time (such as 20 minutes in the future) in the distribution area; and then comparing the number of orders which are not picked up when the current time is out in the distribution area with the first preset number threshold, and comparing the estimated distribution time length with a first preset time length threshold matched with the current time period, wherein if the number of the orders which are not picked up when the current time is out in the distribution area is greater than the first preset number threshold, and the estimated distribution time length is greater than the first preset time length threshold matched with the current time period, the distribution area can be considered to be in a state of insufficient distribution capacity currently.
The method for determining the first preset duration threshold is as described above. In other embodiments of the present application, other methods may also be used to establish the first preset quantity threshold for area differentiation according to the quantity of orders that are not picked up in time-out under the historical normal supply and demand of the distribution area.
In other embodiments of the present application, other methods may also be used to formulate a first preset duration threshold and a first preset load threshold of area differentiation according to the number of overtime missed orders under the historical normal supply and demand of the distribution area, the area estimated delivery duration, the per-person load condition, and the like, which are not listed in this embodiment.
Step 130, in response to the delivery capacity status indicating that the delivery capacity of the order delivery system is insufficient, determining a default delivery requirement matched by the user according to the historical behavior data of the user.
The distribution requirements in the embodiments of the present application include: delayed delivery and on-time delivery. The delayed delivery demand refers to an order delivery demand for prolonging the order delivery time, and the on-time delivery refers to the order delivery demand for delivering the order on time according to the order delivery time predicted in the previous step.
After determining that the distribution area matched with the current order to be submitted is in a state of insufficient distribution capacity, the distribution requirement matched with the user needs to be further determined according to the historical behavior of the user, and the distribution parameter information matched with the distribution requirement is displayed at the client. For example, when it is identified that the user has high sensitivity to price (for example, customer complaints and order cancellation occur after the order distribution cost is raised) according to the historical behavior data of the user, the user is considered to match the delayed distribution demand, and the client selects the delayed distribution demand for the user by default; and when the fact that the user is insensitive to price or sensitive to delivery duration (if customer complaints occur after the order is not delivered on time) is identified according to the historical behavior data of the user, the user is considered to be matched with the delivery demand on time, and the client side selects the delivery demand on time for the user by default.
The delivery parameters described in the embodiments of the present application include: delivery costs and delivery duration.
In some embodiments of the present application, different delivery parameters are set for users matching different delivery requirements. The setting, in real time, delivery parameters for the current order to be submitted based on the first delivery cost and the first delivery duration according to the default delivery demand includes: responding to the default distribution requirement as delayed distribution, predicting a second delivery time length aiming at the current order to be submitted, and setting the first distribution cost and the second delivery time length as distribution parameters of the current order to be submitted in real time; wherein the second delivery duration is greater than the first delivery duration; in response to the fact that the default distribution demand is on-time distribution, second distribution cost for the current order to be submitted is estimated, and the second distribution cost and the first delivery time length are set as distribution parameters of the current order to be submitted in real time; wherein the second delivery cost is higher than the first delivery cost.
For example, for a user who matches a delayed delivery demand (for example, for a user who is sensitive to price), an evaluation index for evaluating the order fulfillment rate is dynamically adjusted in a manner of prolonging the estimated delivery time for a state of insufficient transportation capacity, so as to ensure that the order is delivered on time. By obtaining the extended delivery duration (i.e., the second delivery duration), and setting the first delivery cost as the delivery cost in the delivery parameters, the second delivery duration is set as the delivery order duration in the delivery parameters. At this time, the real-time setting result of the delivery parameters of the current order to be submitted includes: the first delivery cost, the second delivery time and other delivery parameters.
For another example, for a user who matches the demand for on-time delivery (for example, a user who is not sensitive to price or a user who is sensitive to delivery time), for a state of insufficient transportation capacity, delivery is performed according to the estimated delivery time, but the order delivery is guaranteed on-time in a manner of stimulating the delivery activity of the transportation capacity by raising the delivery cost of the order. The method comprises the steps of obtaining the distribution cost (namely second distribution cost) after the price is overflowed, setting the second distribution cost as the distribution cost in distribution parameters, and setting the first delivery time length as the bill delivery time length in the distribution parameters. At this time, the real-time setting result of the delivery parameters of the current order to be submitted includes: second delivery cost and first delivery duration.
In some embodiments of the present application, the estimated delivery time length after the extension is estimated according to the relevant delivery information such as the merchant address, the delivery time period, and the like of the current order to be submitted. For example, the estimating a second delivery duration for the current order to be submitted includes: determining a distribution difficulty coefficient and/or distribution efficiency of the current order to be submitted according to the distribution geographical position information of the current order to be submitted; according to the distribution difficulty coefficient and/or the distribution efficiency, a second delivery duration aiming at the current order to be submitted is estimated; the second delivery duration is positively correlated with the distribution difficulty coefficient, and the second delivery duration is negatively correlated with the distribution efficiency. For example, the delivery difficulty coefficient of the current order to be submitted is determined according to the distance between the geographical position of the merchant and the delivery address of the current order to be submitted and/or the traffic condition of the traffic path between the geographical position of the merchant and the delivery address. The larger the distance between the geographical position of the merchant and the distribution address is, the larger the distribution difficulty coefficient of the current order to be submitted is, the more traffic jam of a traffic path between the geographical position of the merchant and the distribution address is, and the larger the distribution difficulty coefficient of the current order to be submitted is. For another example, the distribution efficiency of the current order to be submitted is determined according to the geographical position of the merchant of the current order to be submitted or the order density of the geographical area of the distribution address, and the distribution efficiency is lower when the order density is higher and the distribution efficiency is lower when the order density is lower. For orders with lower distribution efficiency, the larger the distribution difficulty coefficient is, the longer the time is needed to complete the distribution.
For example, for an order delivered to a remote suburban area, the delivery distance is long, the order delivery efficiency is lower, and the delivery needs to be completed with a longer delay time than an order delivered to an urban area. In some embodiments of the application, a gradient increasing mode may be adopted, a distribution difficulty coefficient a is calculated according to a distribution distance, a proportional function is adopted, order distribution efficiency β is calculated according to an order density of a geographical area of a merchant geographical position or a distribution address, then a delay ratio is calculated according to a formula a/β, a delay duration is calculated according to the delay ratio and a first delivery duration, and a second delivery duration is obtained after the first delivery duration is increased by the calculated delay duration.
In other embodiments of the present application, the delivery difficulty coefficient and/or the delivery efficiency of the current order to be submitted may also be determined by using other methods according to the delivery geographical location information of the current order to be submitted, or a second delivery duration for the current order to be submitted may also be estimated by using other methods according to the delivery difficulty coefficient and/or the delivery efficiency, which is not described in detail in this embodiment.
In some embodiments of the present application, the increased delivery cost is estimated according to the delivery-related information such as the merchant address, the delivery time period, and the like of the current order to be submitted. For example, estimating a second delivery cost for the current order to be submitted includes: determining a distribution difficulty coefficient and/or distribution efficiency of the current order to be submitted according to the distribution geographical position information of the current order to be submitted; according to the distribution difficulty coefficient and/or the distribution efficiency, second distribution cost for the current order to be submitted is estimated; wherein the second distribution cost is positively correlated with the distribution difficulty coefficient, and the second distribution cost is negatively correlated with the distribution efficiency. For a specific determination manner of the delivery difficulty coefficient and the delivery efficiency of the current order to be submitted, reference is made to the foregoing description, and details are not repeated here. For orders with lower delivery efficiency and larger delivery difficulty coefficient, more delivery cost needs to be added to stimulate delivery enthusiasm of capacity.
For example, for an order delivered to a remote suburban area, the delivery distance is long, the order delivery efficiency is lower, and more delivery cost needs to be added compared with an order delivered to an urban area. In some embodiments of the present application, a similar method to the method for calculating the delay ratio may be adopted to calculate the distribution cost increase ratio, calculate the distribution cost increase amount according to the increase ratio and the first distribution cost, and obtain the second distribution cost after increasing the cost increase amount obtained by calculating the first distribution cost.
In other embodiments of the present application, a distribution difficulty coefficient and/or a distribution efficiency of the current order to be submitted may also be determined by using other methods according to the distribution geographical location information of the current order to be submitted, or a second distribution cost for the current order to be submitted may also be estimated by using other methods according to the distribution difficulty coefficient and/or the distribution efficiency, which is not described in detail in this embodiment.
And 150, displaying a real-time setting result of the distribution parameters for the current order to be submitted on the order submitting page.
After the client determines the delivery demand matched with the user as the default delivery demand of the user according to the historical behavior of the user and sets the real-time delivery demand of the user as the default delivery demand, the client further determines the delivery cost and the delivery duration matched with the default delivery demand (namely, the real-time delivery demand) of the user, and then the client displays the real-time setting result of the delivery parameters including the real-time delivery demand, the delivery cost, the delivery duration and the like set for the current order to be submitted on an order submitting page.
For example, when the default delivery requirement of the user is delivery on time, the first delivery cost (e.g., 220 in fig. 2) and the second delivery duration (e.g., 210 in fig. 2) are displayed on the order submitting page as delivery parameters set in real time for the current order to be submitted. At this time, the display effect of the order submitting page is as shown in fig. 2.
For another example, when the default delivery requirement of the user is delayed delivery, the second delivery cost (e.g., 320 in fig. 3) and the first delivery duration (e.g., 310 in fig. 3) are displayed on the order submission page as delivery parameters set in real time for the current order to be submitted. At this time, the display effect of the order submitting page is as shown in fig. 3.
In the order submitting page, the user can see the delivery cost and the estimated delivery time of the current order to be submitted, and select the payment order to complete the order submission.
In other embodiments of the application, after the presenting, on the order submitting page, a result of setting the delivery parameter in real time for the current order to be submitted, the method further includes: displaying the selection items of the distribution requirements on the order submitting page; responding to the triggering operation of the user on the selection item, and determining the distribution requirement set by the user; updating and setting delivery parameters aiming at the current order to be submitted in real time based on the first delivery cost and the first delivery time length according to the delivery demand set by the user; and updating and displaying a real-time setting result of the distribution parameters for the current order to be submitted on the order submitting page.
The selection item is used for indicating the delivery requirement selected by the client default user or indicating the delivery requirement manually selected by the user. As shown at 230 in fig. 2 and at 330 in fig. 3, the user can manually set the delivery demand by performing a selection operation or a deselection operation for the selection item.
In some embodiments of the present application, updating and setting a delivery parameter for the current order to be submitted in real time based on the first delivery cost and the first delivery time length according to the delivery requirement set by the user includes: and responding to the triggering operation of the option to instruct a user to set the delivery requirement as on-time delivery, pre-estimating a second delivery cost aiming at the current order to be submitted, and updating the second delivery cost and the first delivery time length in real time to set the delivery parameters of the current order to be submitted.
Correspondingly, for the order submitting page shown in fig. 2, when the user deselects the delayed delivery mode by triggering the selection item shown as 230 in fig. 2, the client sets the delivery demand matched with the user as on-time delivery in response to the deselection operation of the user on the selection item, and further, the client estimates a second delivery cost required for on-time delivery of the current order to be submitted, sets the second delivery cost as the delivery cost in the delivery parameters, and sets the first delivery duration as the delivery duration in the delivery parameters. At this time, the real-time setting result of the delivery parameters of the current order to be submitted includes: second delivery cost and first delivery duration.
For the specific implementation of predicting the second delivery cost for the current order to be submitted, refer to the above description, and no further description is provided herein.
In some embodiments of the present application, updating and setting a delivery parameter for the current order to be submitted in real time based on the first delivery cost and the first delivery time length according to the delivery requirement set by the user includes: and responding to the triggering operation of the option to instruct a user to set a delivery demand as delayed delivery, predicting a second delivery time for the current order to be submitted, and updating and setting the first delivery cost and the second delivery time as delivery parameters of the current order to be submitted in real time.
Correspondingly, for the order submitting page shown in fig. 3, when the user selects the delayed delivery by triggering the selection item shown as 330 in fig. 3, the client responds to the selection operation of the user on the selection item, and sets the delivery requirement matched with the user as the delayed delivery, further, the client estimates a second delivery duration required for the delayed delivery of the current order to be submitted, sets the second delivery duration as the delivery duration in the delivery parameters, and sets the first delivery cost as the delivery cost in the delivery parameters. At this time, the real-time setting result of the delivery parameters of the current order to be submitted includes: the first delivery cost, the second delivery time and other delivery parameters.
For the specific implementation of predicting the second delivery duration for the current order to be submitted, refer to the above description, and no further details are given here.
And then, updating and displaying a real-time distribution parameter setting result aiming at the current order to be submitted by the client on the order submitting page. The specific implementation of displaying the real-time setting result of the delivery parameter for the current order to be submitted refers to the above description, and details are not repeated here.
After the user selects the delivery requirement and submits the order, the order delivery system sets corresponding delivery parameters according to the delivery requirement confirmed by the user and executes the order delivery.
In some embodiments of the present application, after the presenting a result of setting a delivery parameter for the current order to be submitted in real time, the method further includes: and in response to the current order to be submitted being submitted, evaluating a fulfillment result of the current order to be submitted according to a delivery parameter real-time setting result.
For example, after a user submits a current order to be submitted, if the user selects on-time delivery, the order delivery system sends a first delivery duration and a second delivery cost to the corresponding capacity and the user, and then when the order delivery system receives information that the order completes delivery, the order delivery system compares the actual delivery duration of the order with the first delivery duration to evaluate whether the order is delivered on time, and pays the order delivery cost to the capacity for delivering the order according to the second delivery cost; and if the user selects delayed delivery, the order delivery system sends a second delivery time length and first delivery cost to the corresponding capacity and the user, and then when the order delivery system receives information that the order is delivered completely, the order delivery system compares the actual delivery time length of the order with the second delivery time length to evaluate whether the order is delivered on time or not and pays the order delivery cost to the capacity for delivering the order according to the first delivery cost.
The distribution demand response method disclosed by the embodiment of the application acquires a first distribution cost and a first delivery duration of a current order to be submitted by responding to a user trigger display order submitting page; determining the current distribution capacity state of an order distribution system, wherein the distribution capacity state is used for indicating that the distribution capacity of the order distribution system is insufficient or sufficient; in response to the delivery capacity status indicating that the order delivery system delivery capacity is insufficient, determining a default delivery demand matched by the user according to historical behavior data of the user, wherein the delivery demand comprises: delayed delivery and on-time delivery; according to the default distribution demand, setting distribution parameters aiming at the current order to be submitted in real time based on the first distribution cost and the first delivery duration, wherein the distribution parameters comprise the distribution cost and the delivery duration; and displaying a real-time setting result of the delivery parameters for the current order to be submitted on the order submitting page, so that the delivery order fulfillment experience is promoted.
According to the distribution demand response method disclosed by the embodiment of the application, under the condition that the distribution capacity is insufficient, different distribution cost and delivery time length combinations are set for different users according to the actual distribution demands of the users, and order fulfillment experience is effectively improved. Furthermore, for the users with sensitive delivery cost or insensitive delivery timeliness, the order delivery time is properly prolonged under the condition that the delivery cost is not improved, for the users with sensitive delivery timeliness, the delivery cost is properly improved to ensure that the order is delivered on time, the user requirements are integrated, the order delivery priority is coordinated, and the delivery performance experience of the user order is effectively improved.
On the other hand, according to the delivery demand response method disclosed by the embodiment of the application, the delivery demand option is set on the order submitting page, so that the user can flexibly set the delivery demand of the specified order, and the user experience is further improved.
Further, according to the distribution demand response method disclosed in the embodiment of the application, the distribution capacity state of each distribution area is determined in real time according to the historical order number, the capacity load, the estimated distribution duration and other statistical data of the distribution area where the order is located and by combining the real-time order number, the capacity load and other data of the distribution area, and the accuracy of the distribution capacity state is improved.
When the second delivery duration and the second delivery cost are calculated, the delivery demand response method disclosed by the embodiment of the application fully considers delivery data, such as the actual delivery distance of the order, the density degree of the waybill in the delivery area and the like, which are closely related to the delivery difficulty and the delivery efficiency, is beneficial to improving the accuracy of calculating the second delivery duration and the second delivery cost, and improves the fulfillment rate of the order while ensuring the capacity and the user benefits.
Example two
As shown in fig. 4, a distribution demand response apparatus disclosed in an embodiment of the present application includes:
an initial distribution parameter obtaining module 410, configured to respond to a user trigger, show an order submitting page, and obtain a first distribution cost and a first delivery duration of a current order to be submitted;
a delivery capacity status determination module 420, configured to determine a current delivery capacity status of the order delivery system, where the delivery capacity status indicates that the delivery capacity of the order delivery system is insufficient or sufficient;
a user delivery requirement determining module 430, configured to determine a default delivery requirement matched by the user according to historical behavior data of the user in response to the delivery capacity status indicating that the order delivery system delivery capacity is insufficient, where the delivery requirement includes: delayed delivery and on-time delivery;
a distribution parameter setting module 440, configured to set, in real time, a distribution parameter for the current order to be submitted based on the first distribution cost and the first delivery duration according to the default distribution demand, where the distribution parameter includes a distribution cost and a delivery duration;
a distribution parameter display module 450, configured to display, on the order submitting page, a real-time distribution parameter setting result for the current order to be submitted.
In some embodiments of the present application, the delivery parameter display module 450 is further configured to:
displaying the selection items of the distribution requirements on the order submitting page;
the user distribution demand determining module 430 is further configured to determine a distribution demand set by the user in response to a user triggering operation on the selection item;
the distribution parameter setting module 440 is further configured to update and set distribution parameters for the current order to be submitted in real time according to the distribution requirement set by the user based on the first distribution cost and the first delivery time length;
the delivery parameter display module 450 is further configured to update and display a real-time delivery parameter setting result for the current order to be submitted on the order submitting page.
In some embodiments of the present application, updating and setting a delivery parameter for the current order to be submitted in real time based on the first delivery cost and the first delivery time length according to the delivery requirement set by the user includes:
responding to the triggering operation of the option to indicate a user to set a delivery demand as delayed delivery, predicting a second delivery time length aiming at the current order to be submitted, and updating and setting the first delivery cost and the second delivery time length as delivery parameters of the current order to be submitted in real time;
and responding to the triggering operation of the option to instruct a user to set the delivery requirement as on-time delivery, pre-estimating a second delivery cost aiming at the current order to be submitted, and updating the second delivery cost and the first delivery time length in real time to set the delivery parameters of the current order to be submitted.
In some embodiments of the present application, the setting, in real time, delivery parameters for the current order to be submitted based on the first delivery cost and the first delivery time length according to the default delivery requirement includes:
responding to the default distribution requirement as delayed distribution, predicting a second delivery time length aiming at the current order to be submitted, and setting the first distribution cost and the second delivery time length as distribution parameters of the current order to be submitted in real time; wherein the second delivery duration is greater than the first delivery duration;
in response to the fact that the default distribution demand is on-time distribution, second distribution cost for the current order to be submitted is estimated, and the second distribution cost and the first delivery time length are set as distribution parameters of the current order to be submitted in real time; wherein the second delivery cost is higher than the first delivery cost.
In some embodiments of the present application, the estimating a second delivery cost for the current order to be submitted comprises:
determining a distribution difficulty coefficient and/or distribution efficiency of the current order to be submitted according to the distribution geographical position information of the current order to be submitted;
according to the distribution difficulty coefficient and/or the distribution efficiency, second distribution cost for the current order to be submitted is estimated; wherein the second distribution cost is positively correlated with the distribution difficulty coefficient, and the second distribution cost is negatively correlated with the distribution efficiency.
In some embodiments of the present application, the estimating a second delivery duration for the current order to be submitted includes:
determining a distribution difficulty coefficient and/or distribution efficiency of the current order to be submitted according to the distribution geographical position information of the current order to be submitted;
according to the distribution difficulty coefficient and/or the distribution efficiency, a second delivery duration aiming at the current order to be submitted is estimated; the second delivery duration is positively correlated with the distribution difficulty coefficient, and the second delivery duration is negatively correlated with the distribution efficiency.
In some embodiments of the present application, the dispatch capacity status determination module 420 is further configured to:
determining a distribution area matched with the current order to be submitted;
if the average transport load in the distribution area is greater than a first preset load threshold value and the estimated distribution time of the orders in the future appointed time period in the distribution area is greater than a first preset time threshold value, determining that the current distribution transport capacity state of the order distribution system is insufficient; alternatively, the first and second electrodes may be,
if the number of orders which are not picked up within the distribution area due to overtime is larger than a first preset number threshold value, and the estimated distribution time length of the orders within a future specified time period in the distribution area is larger than the first preset time length threshold value, determining that the current distribution capacity state of the order distribution system is insufficient;
the first preset load threshold is determined according to the average load of historical transport capacity in a supply and demand balanced state in the distribution area; the first preset time length threshold value is determined according to the average delivery time length of the historical orders in the corresponding time period under the balanced supply and demand state in the distribution area; the first preset quantity threshold value is determined according to the quantity of missed orders in the distribution area under the condition of historical average overtime under the condition of balanced supply and demand.
In some embodiments of the present application, as shown in fig. 5, the apparatus further comprises:
and a delivery fulfillment result evaluation module 460, configured to, in response to the current order to be submitted being submitted, evaluate a fulfillment result of the current order to be submitted according to a delivery parameter real-time setting result.
The distribution demand response device disclosed in the embodiment of the present application is used to implement the distribution demand response method described in the first embodiment of the present application, and specific implementation manners of each module of the device are not described again, and reference may be made to specific implementation manners of corresponding steps in method embodiments.
The distribution demand response device disclosed in the embodiment of the application acquires a first distribution cost and a first delivery duration of a current order to be submitted by responding to a user trigger display order submitting page; determining the current distribution capacity state of an order distribution system, wherein the distribution capacity state is used for indicating that the distribution capacity of the order distribution system is insufficient or sufficient; in response to the delivery capacity status indicating that the order delivery system delivery capacity is insufficient, determining a default delivery demand matched by the user according to historical behavior data of the user, wherein the delivery demand comprises: delayed delivery and on-time delivery; according to the default distribution demand, setting distribution parameters aiming at the current order to be submitted in real time based on the first distribution cost and the first delivery duration, wherein the distribution parameters comprise the distribution cost and the delivery duration; and displaying a real-time setting result of the delivery parameters for the current order to be submitted on the order submitting page, so that the delivery order fulfillment experience is promoted.
The distribution demand response device disclosed in the embodiment of the application effectively improves order fulfillment experience by setting different distribution cost and delivery time length combinations for different users according to actual distribution demands of the users under the condition that distribution capacity is insufficient. Furthermore, for the users with sensitive delivery cost or insensitive delivery timeliness, the order delivery time is properly prolonged under the condition that the delivery cost is not improved, for the users with sensitive delivery timeliness, the delivery cost is properly improved to ensure that the order is delivered on time, the user requirements are integrated, the order delivery priority is coordinated, and the delivery performance experience of the user order is effectively improved.
On the other hand, the delivery demand response device disclosed in the embodiment of the application sets the delivery demand option on the order submitting page, so that the user can flexibly set the delivery demand of the specified order, and the user experience is further improved.
Further, the delivery demand response device disclosed in the embodiment of the present application determines the delivery capacity state of each delivery area in real time according to the historical order number, the capacity load, the estimated delivery duration and other statistical data of the delivery area where the order is located, and by combining the real-time order number, the capacity load and other data of the delivery area, which is beneficial to improving the accuracy of the delivery capacity state.
When calculating the second delivery duration and the second delivery cost, the delivery demand response device disclosed in the embodiment of the present application fully considers delivery data, such as the actual delivery distance of the order, the density of the waybill in the delivery area, and the like, which are closely related to the delivery difficulty and the delivery efficiency, so that the accuracy of calculating the second delivery duration and the second delivery cost is improved, the capacity and the user benefit are ensured, and the fulfillment rate of the order is improved.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
The above detailed description is provided for a distribution demand response method and device, and a specific example is applied in this document to explain the principle and implementation of the present application, and the description of the above embodiment is only used to help understand the method and one core idea of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
The various component embodiments of the present application may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components in an electronic device according to embodiments of the present application. The present application may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present application may be stored on a computer readable medium or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
For example, fig. 6 illustrates an electronic device that may implement a method according to the present application. The electronic device can be a PC, a mobile terminal, a personal digital assistant, a tablet computer and the like. The electronic device conventionally comprises a processor 610 and a memory 620 and program code 630 stored on said memory 620 and executable on the processor 610, said processor 610 implementing the method described in the above embodiments when executing said program code 630. The memory 620 may be a computer program product or a computer readable medium. The memory 620 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. The memory 620 has a storage space 6201 for program code 630 of a computer program for performing any of the method steps described above. For example, the storage space 6201 for the program code 630 may include respective computer programs for implementing the various steps in the above method, respectively. The program code 630 is computer readable code. The computer programs may be read from or written to one or more computer program products. These computer program products comprise a program code carrier such as a hard disk, a Compact Disc (CD), a memory card or a floppy disk. The computer program comprises computer readable code which, when run on an electronic device, causes the electronic device to perform the method according to the above embodiments.
The embodiment of the present application also discloses a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the distribution demand response method according to the first embodiment of the present application.
Such a computer program product may be a computer-readable storage medium that may have memory segments, memory spaces, etc. arranged similarly to the memory 620 in the electronic device shown in fig. 6. The program code may be stored in a computer readable storage medium, for example, compressed in a suitable form. The computer readable storage medium is typically a portable or fixed storage unit as described with reference to fig. 7. Typically, the storage unit comprises computer readable code 630 ', said computer readable code 630' being code read by a processor, which when executed by the processor implements the steps of the method described above.
Reference herein to "one embodiment," "an embodiment," or "one or more embodiments" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Moreover, it is noted that instances of the word "in one embodiment" are not necessarily all referring to the same embodiment.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the application may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The application may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A delivery demand response method, comprising:
responding to a user trigger display order submitting page, and acquiring a first delivery cost and a first delivery duration of a current order to be submitted;
determining the current distribution capacity state of an order distribution system, wherein the distribution capacity state is used for indicating that the distribution capacity of the order distribution system is insufficient or sufficient;
in response to the delivery capacity status indicating that the order delivery system delivery capacity is insufficient, determining a default delivery demand matched by the user according to historical behavior data of the user, wherein the delivery demand comprises: delayed delivery and on-time delivery;
according to the default distribution demand, setting distribution parameters aiming at the current order to be submitted in real time based on the first distribution cost and the first delivery duration, wherein the distribution parameters comprise the distribution cost and the delivery duration;
and displaying a real-time setting result of the distribution parameters for the current order to be submitted on the order submitting page.
2. The method according to claim 1, wherein after the step of presenting the real-time setting result of the delivery parameters for the current order to be submitted in the order submitting page, the method further comprises:
displaying the selection items of the distribution requirements on the order submitting page;
responding to the triggering operation of the user on the selection item, and determining the distribution requirement set by the user;
updating and setting delivery parameters aiming at the current order to be submitted in real time based on the first delivery cost and the first delivery time length according to the delivery demand set by the user;
and updating and displaying a real-time setting result of the distribution parameters for the current order to be submitted on the order submitting page.
3. The method according to claim 1 or 2, wherein the step of setting in real time delivery parameters for the currently to-be-submitted order based on the first delivery cost and the first delivery duration according to the default delivery demand comprises:
responding to the default distribution requirement as delayed distribution, predicting a second delivery time length aiming at the current order to be submitted, and setting the first distribution cost and the second delivery time length as distribution parameters of the current order to be submitted in real time; wherein the second delivery duration is greater than the first delivery duration;
in response to the fact that the default distribution demand is on-time distribution, second distribution cost for the current order to be submitted is estimated, and the second distribution cost and the first delivery time length are set as distribution parameters of the current order to be submitted in real time; wherein the second delivery cost is higher than the first delivery cost.
4. The method of claim 3, wherein said step of estimating a second delivery fee for said currently pending order comprises:
determining a distribution difficulty coefficient and/or distribution efficiency of the current order to be submitted according to the distribution geographical position information of the current order to be submitted;
according to the distribution difficulty coefficient and/or the distribution efficiency, second distribution cost for the current order to be submitted is estimated; wherein the second distribution cost is positively correlated with the distribution difficulty coefficient, and the second distribution cost is negatively correlated with the distribution efficiency.
5. The method of claim 3, wherein the step of estimating a second delivery duration for the currently pending order comprises:
determining a distribution difficulty coefficient and/or distribution efficiency of the current order to be submitted according to the distribution geographical position information of the current order to be submitted;
according to the distribution difficulty coefficient and/or the distribution efficiency, a second delivery duration aiming at the current order to be submitted is estimated; the second delivery duration is positively correlated with the distribution difficulty coefficient, and the second delivery duration is negatively correlated with the distribution efficiency.
6. The method of claim 1 or 2, wherein the step of determining the current delivery capacity status of the order delivery system comprises:
determining a distribution area matched with the current order to be submitted;
if the average transport load in the distribution area is greater than a first preset load threshold value and the estimated distribution time of the orders in the future appointed time period in the distribution area is greater than a first preset time threshold value, determining that the current distribution transport capacity state of the order distribution system is insufficient; alternatively, the first and second electrodes may be,
if the number of orders which are not picked up within the distribution area due to overtime is larger than a first preset number threshold value, and the estimated distribution time length of the orders within a future specified time period in the distribution area is larger than the first preset time length threshold value, determining that the current distribution capacity state of the order distribution system is insufficient;
the first preset load threshold is determined according to the average load of historical transport capacity in a supply and demand balanced state in the distribution area; the first preset time length threshold value is determined according to the average delivery time length of the historical orders in the corresponding time period under the balanced supply and demand state in the distribution area; the first preset quantity threshold value is determined according to the quantity of missed orders in the distribution area under the condition of historical average overtime under the condition of balanced supply and demand.
7. The method according to claim 1 or 2, wherein after the step of presenting the real-time setting result of the delivery parameters for the current order to be submitted, the method further comprises:
and in response to the current order to be submitted being submitted, evaluating a fulfillment result of the current order to be submitted according to a delivery parameter real-time setting result.
8. A dispensing demand response apparatus, comprising:
the system comprises an initial distribution parameter acquisition module, a first distribution parameter acquisition module and a second distribution parameter acquisition module, wherein the initial distribution parameter acquisition module is used for responding to a page for submitting an order triggered by a user and acquiring a first distribution cost and a first delivery duration of the current order to be submitted;
the order distribution system comprises a distribution capacity state determining module, a distribution capacity state determining module and a distribution capacity state determining module, wherein the distribution capacity state determining module is used for determining the current distribution capacity state of the order distribution system, and the distribution capacity state is used for indicating that the distribution capacity of the order distribution system is insufficient or the distribution capacity is sufficient;
a user delivery demand determining module, configured to determine, in response to the delivery capacity status indicating that the order delivery system delivery capacity is insufficient, a default delivery demand matched by the user according to historical behavior data of the user, where the delivery demand includes: delayed delivery and on-time delivery;
a distribution parameter setting module, configured to set, in real time, a distribution parameter for the current order to be submitted based on the first distribution cost and the first delivery duration according to the default distribution demand, where the distribution parameter includes a distribution cost and a delivery duration;
and the distribution parameter display module is used for displaying a distribution parameter real-time setting result aiming at the current order to be submitted on the order submitting page.
9. An electronic device comprising a memory, a processor, and program code stored on the memory and executable on the processor, wherein the processor implements the delivery demand response method of any one of claims 1 to 7 when executing the program code.
10. A computer readable storage medium having stored thereon program code, characterized in that the program code realizes the steps of the delivery demand response method according to any one of claims 1 to 7 when executed by a processor.
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