WO2020182054A1 - 物流服务提供方法、装置、电子设备及可读存储介质 - Google Patents
物流服务提供方法、装置、电子设备及可读存储介质 Download PDFInfo
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Definitions
- the present disclosure relates to the field of Internet technology, in particular to a logistics service providing method, device, electronic equipment and readable storage medium.
- a platform that provides express delivery services can provide sellers such as O2O merchants with calling logistics services. For example, in the case of O2O local delivery, after O2O merchants call for delivery, they enter the crowdsourcing rider to grab delivery orders or logistics order links. Riders can choose the logistics order that suits them according to factors such as the distance, price, and ease of delivery of the delivery order, and start delivery. Due to the uneven distribution of the seller's orders, the seller's location, delivery item category, and logistics order distance are all different. In this case, the delivery rate (the rate at which the logistics order is accepted) of the logistics order issued by each seller is not the same. After the logistics order is issued, it waits for a delivery party such as a rider to receive it. The time is also long and short.
- the delivery service provider takes too long to receive the order may cause the seller to cancel the logistics order.
- platforms that provide express delivery services they may face the loss of merchants and logistics orders. Therefore, it is difficult for related technologies to shorten the order-taking time of logistics orders and increase the probability of receiving orders to ensure the progress of logistics services.
- embodiments of the present disclosure provide a logistics service providing method, device, electronic equipment, and readable storage medium.
- an embodiment of the present disclosure provides a logistics service providing method, including:
- the resource provision mode is determined according to the characteristics related to the behavior of canceling the logistics order and the real-time capacity information.
- the present disclosure further includes:
- the determining the resource provision method based on the characteristics related to the behavior of canceling the logistics order and the real-time capacity information includes:
- the method for providing resources is determined according to the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted, the cancellation probability of the current logistics order being cancelled by the logistics order issuer, and the real-time capacity information.
- the determining a resource provision method based on the characteristics related to the behavior of canceling a logistics order and the real-time capacity information includes:
- the resource provision method is determined according to the characteristics related to the behavior of canceling the logistics order, as well as the order duration and order probability of the logistics order taker receiving the current logistics order.
- the logistics order is cancelled according to the The behavior-related characteristics and the real-time capacity information determine resource provision methods, including:
- the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted and the cancellation probability of the current logistics order being cancelled by the logistics order issuer are compared with the logistics order taker’s acceptance of the current logistics order.
- the order duration and the order probability are matched to calculate the time and the quantity of resources for the current logistics order to provide resources to the logistics order taker who receives the current logistics order.
- the provision of resources to the logistics order taker receiving the current logistics order according to the determined resource provision method includes :
- resources are provided to the logistics order taker receiving the current logistics order according to the calculated resource quantity.
- the present disclosure further includes:
- the present disclosure further includes:
- the calculation is based on the time for the current logistics order to provide resources to the logistics order taker who receives the current logistics order And the number of resources, including:
- the acquisition is related to the behavior of canceling the logistics order Features and real-time capacity information, including:
- the estimated logistics order taker s order receiving time and receiving time for receiving the current logistics order based on the real-time capacity information Single probability, including:
- the order-taking time and the order-taking probability for the logistics order taker to receive the current logistics order are calculated.
- the behavior related to canceling a logistics order includes data related to the behavior of canceling historical logistics orders of the logistics order issuer and the delivery difficulty data of the logistics order issued by the logistics order issuer.
- an embodiment of the present disclosure provides a logistics service providing device, including:
- the acquisition module is configured to acquire characteristics related to the behavior of canceling logistics orders and real-time capacity information
- the determining module is configured to determine the resource provision method according to the characteristics related to the behavior of canceling the logistics order and the real-time capacity information.
- the present disclosure further includes:
- the providing module is configured to provide resources to the logistics order taker receiving the current logistics order according to the determined resource supply mode.
- the determining module includes:
- the first estimating sub-module is configured to estimate the maximum number of logistics order issuers waiting for the current logistics order to be received based on the current logistics order information, the characteristics related to the behavior of canceling the logistics order, and the real-time capacity information The waiting time and the cancellation probability of the current logistics order being cancelled by the logistics order issuer;
- the first determining sub-module is configured to determine the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted, the cancellation probability of the current logistics order being cancelled by the logistics order issuer, and the real-time capacity information Resource provision method.
- the determining module includes:
- the second estimating sub-module is configured to estimate, based on the real-time capacity information, the order duration and the order probability for the logistics order taker to take the current logistics order;
- the second determining sub-module is configured to determine the resource provision method according to the characteristics related to the behavior of canceling the logistics order, and the order duration and order probability of the logistics order taker receiving the current logistics order.
- the determining module is further configured to:
- the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted and the cancellation probability of the current logistics order being cancelled by the logistics order issuer are compared with the logistics order taker’s acceptance of the current logistics order.
- the order duration and the order probability are matched to calculate the time and the quantity of resources for the current logistics order to provide resources to the logistics order taker who receives the current logistics order.
- the providing module is further configured to:
- resources are provided to the logistics order taker receiving the current logistics order according to the calculated resource quantity.
- the present disclosure further includes:
- the first notification module is configured to notify the potential logistics order taker of the current logistics order of the time and amount of resources that will be provided to the logistics order taker of the current logistics order.
- the present disclosure further includes:
- the second notification module is configured to notify the logistics order issuer of the time and the quantity of resources that will be provided to the logistics order taker receiving the current logistics order.
- the determining module is further configured to:
- the acquisition module is further configured to:
- the second estimation module is further configured to:
- the order-taking time and the order-taking probability for the logistics order taker to receive the current logistics order are calculated.
- the present disclosure is related to the behavior of canceling logistics orders
- the characteristics include data related to the behavior of canceling historical logistics orders of the logistics order issuer and the delivery difficulty data of the logistics order issued by the logistics order issuer.
- an electronic device including a memory and a processor; wherein,
- the memory is used to store one or more computer instructions, wherein the one or more computer instructions are executed by the processor to implement the first aspect, the first implementation manner of the first aspect to the eleventh aspect Implement the method described in any one of the modes.
- an embodiment of the present disclosure provides a readable storage medium with computer instructions stored thereon.
- the computer instructions are executed by a processor, the first aspect and the first implementation to the first aspect are implemented. The method described in any one of the eleven implementation modes.
- the resource provision method by acquiring the characteristics related to the behavior of canceling logistics orders and real-time capacity information; determining the resource provision method according to the characteristics related to the behavior of canceling logistics orders and the real-time capacity information, Determine the appropriate resource provision method to provide resources to the logistics order taker, so as to help encourage the logistics order taker to shorten the order time of logistics orders and increase the probability of taking orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the logistics order taker can be specifically motivated to shorten the order of the logistics order. Time length and increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the determination of the resource provision method based on the characteristics related to the behavior of canceling the logistics order and the real-time capacity information includes: based on the information of the current logistics order, and the cancellation of the logistics According to the characteristics related to the behavior of the order and the real-time capacity information, estimate the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted and the cancellation probability of the current logistics order being cancelled by the logistics order issuer; The maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted, the cancellation probability of the current logistics order being cancelled by the logistics order issuer, and the real-time capacity information to determine the resource provision method can help determine the direction
- the logistics order taker provides an appropriate resource provision method for resources, which helps to incentivize the logistics order taker to shorten the order time of logistics orders and increase the probability of taking orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the
- determining the resource provision method based on the characteristics related to the behavior of canceling the logistics order and the real-time capacity information includes: estimating the logistics order taker based on the real-time capacity information Receive the order duration and probability of receiving the current logistics order; determine the resource according to the characteristics related to the behavior of canceling the logistics order, and the order duration and probability of the logistics order receiver receiving the current logistics order
- the provision method can help determine the appropriate resource provision method to provide resources to the logistics order taker, thereby helping to incentivize the logistics order taker to shorten the order duration of the logistics order and increase the order probability to ensure the progress of the logistics service . Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- determining the resource provision method based on the characteristics related to the behavior of canceling the logistics order and the real-time capacity information includes: waiting for the logistics order issuer to receive the current logistics order
- the maximum waiting time of the current logistics order and the cancellation probability of the current logistics order being cancelled by the logistics order sender are matched with the order time and probability of the current logistics order received by the logistics order taker to calculate
- the time and quantity of resources provided by the current logistics order to the logistics order taker receiving the current logistics order can help determine the appropriate resource provision method for providing resources to the logistics order taker, thereby helping Encourage logistics order takers to shorten the order time of logistics orders and increase the probability of receiving orders to ensure the progress of logistics services.
- Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the provision of resources to the logistics order taker receiving the current logistics order through the determined resource provision method includes: at a calculated time, according to the calculated resource quantity
- the logistics order taker who receives the current logistics order provides resources, thereby helping to incentivize the logistics order taker to shorten the order-receiving time of the logistics order and increase the order probability to ensure the progress of the logistics service.
- Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the embodiments of the present disclosure by notifying the potential logistics order taker of the current logistics order of the time and quantity of resources that will be provided to the logistics order taker of the current logistics order, It helps to incentivize logistics order takers to shorten the time of receiving logistics orders and increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the logistics order issuer by notifying the logistics order issuer of the time and quantity of resources that will be provided to the logistics order receiver who will receive the current logistics order, it helps to motivate the logistics order to be issued.
- the party maintains or extends the maximum waiting time, increases the probability of receiving orders to ensure the progress of logistics services, and thereby increases the customer viscosity of the logistics order issuer to the logistics service platform.
- the calculation of the time and the quantity of resources for the current logistics order to provide resources to the logistics order taker receiving the current logistics order includes: according to preset resource management rules, Calculating the time and quantity of resources for the current logistics order to provide resources to the logistics order taker who receives the current logistics order can help determine the appropriate resource provision method for providing resources to the logistics order taker.
- Encourage logistics order takers to shorten the order time of logistics orders and increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- acquiring the characteristics related to the behavior of canceling a logistics order and real-time transportation capacity information includes: acquiring information about the characteristics related to the behavior of canceling a logistics order and the real-time transportation capacity information.
- the cancellation portrait of the logistics order issuer canceling the logistics order can help determine the appropriate resource provision method to provide resources to the logistics order taker, thereby helping to motivate the logistics order taker to shorten the logistics order receiving time and increase it Probability of receiving orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the estimating the time and probability of receiving the current logistics order by the logistics order taker based on the real-time capacity information includes: based on the region where the current logistics order is generated.
- the real-time transportation capacity information calculated by the logistics order taker can help determine the appropriate resource provision method to provide resources to the logistics order taker, thereby contributing to incentives
- the logistics order taker shortens the order time of logistics orders and increases the probability of receiving orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the characteristics related to the behavior of canceling a logistics order include the data related to the behavior of canceling historical logistics orders of the logistics order issuer and the logistics issued by the logistics order issuer.
- the distribution difficulty data of the order can help accurately estimate the maximum waiting time for the logistics order sender to wait for the current logistics order to be received, and determine the appropriate resource provision method to provide resources to the logistics order receiver who receives the current logistics order. This helps to incentivize the logistics order taker to shorten the order time of logistics orders and increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- Fig. 1 shows a flowchart of a logistics service providing method according to an embodiment of the present disclosure
- Fig. 2 shows a flowchart of a logistics service providing method according to another embodiment of the present disclosure
- Fig. 3 shows a flowchart of an example of step S102 in the logistics service providing method according to an embodiment of the present disclosure
- step S102 in the logistics service providing method according to an embodiment of the present disclosure
- Figure 5 shows a flowchart of a logistics service providing method according to another embodiment of the present disclosure
- Fig. 6 shows a schematic flowchart of an application scenario of a logistics service providing method according to an embodiment of the present disclosure
- Fig. 7 shows a structural block diagram of a logistics service providing device according to an embodiment of the present disclosure
- FIG. 8 shows a structural block diagram of a logistics service providing device according to another embodiment of the present disclosure.
- FIG. 9 shows a structural block diagram of an example of the determining module 720 in the logistics service providing apparatus according to an embodiment of the present disclosure
- FIG. 10 shows a structural block diagram of another example of the determining module 720 in the logistics service providing apparatus according to an embodiment of the present disclosure
- FIG. 11 shows a structural block diagram of a logistics service providing device according to another embodiment of the present disclosure.
- Fig. 12 shows a structural block diagram of an electronic device according to an embodiment of the present disclosure
- FIG. 13 is a schematic structural diagram of a computer system suitable for implementing a logistics service providing method according to an embodiment of the present disclosure.
- the logistics order by acquiring the characteristics related to the cancellation of the logistics order and real-time capacity information; according to the characteristics related to the cancellation of the logistics order and the real-time capacity information to determine the resource provision method, it is possible to determine the logistics order Appropriate resource provision methods for the taker to provide resources, thereby helping to incentivize the logistics order taker to shorten the order time of logistics orders and increase the probability of taking orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- Fig. 1 shows a flowchart of a logistics service providing method according to an embodiment of the present disclosure.
- the logistics service providing method includes the following steps S110 and S120:
- step S110 the characteristics related to the behavior of canceling the logistics order and real-time capacity information are acquired.
- step S120 the resource provision method is determined according to the characteristics related to the behavior of canceling the logistics order and the real-time capacity information.
- the scope of logistics services may include intra-city express and transportation, inter-provincial and municipal express and transportation, and transnational express and transportation.
- a logistics order for the logistics service can be generated for the commodity order.
- the goods or the order of goods sold by the seller to the buyer is called “commodity order”.
- “logistics order” refers to a logistics service order for "commodity order”.
- the logistics order issuer (also referred to as the issuer) may be waiting for the logistics order taker (also referred to as the order taker) to receive the logistics order when issuing the logistics order (also referred to as the issuer) (It can also be referred to as order acceptance)
- the behavior of canceling the logistics order when the order time exceeds the expected order time For example, an O2O merchant expects the rider (or delivery person) to take the order within 5 minutes after placing an order on the platform that provides logistics services, that is, the estimated maximum waiting time is 5 minutes, but the platform that provides logistics services estimates that the rider will take the order
- the duration may exceed 5 minutes, for example, it reaches 10 minutes.
- O2O merchants may cancel the logistics order because the order time exceeds the maximum waiting time.
- the cancellation of the logistics order by the logistics order issuer will result in the loss of logistics orders on the platform that provides logistics services, and also affect the efficiency of the order issuer in executing the merchandise order.
- the characteristics related to the behavior of canceling a logistics order include data related to the behavior of canceling historical logistics orders of the logistics order issuer and delivery difficulty data of the logistics order issued by the logistics order issuer. This helps to accurately estimate the maximum waiting time for the logistics order sender to wait for the current logistics order to be received, and to determine the appropriate resource provision method to provide resources to the logistics order receiver who receives the current logistics order, thereby helping to stimulate logistics
- the order receiver shortens the order-taking time of logistics orders and increases the probability of receiving orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the data related to the behavior of canceling historical logistics orders of the logistics order issuer may include: the willingness of the logistics order issuer to cancel the logistics order, the maximum waiting time, the degree of price sensitivity, and severe weather conditions. Various data such as waiting time. It should be noted that in the embodiments of the present disclosure, "data related to the behavior of the logistics order issuer to cancel historical logistics orders" is different from “features related to the behavior of the logistics order issuer to cancel the logistics order". The former is related to logistics.
- the delivery difficulty data of the logistics order issued by the logistics order issuer may include data such as the category of the goods in the logistics order of the order issuer, the delivery distance, and the delivery difficulty of the pickup point.
- the distribution difficulty data of a logistics order issued by a comprehensive logistics order issuer may be calculated based on the category, delivery distance, and delivery difficulty of the goods in the logistics order of the logistics order issuer.
- the distribution difficulty data of the logistics order issued by the logistics order issuer may include the distribution difficulty data of the historical logistics order issued by the logistics order issuer, and may also include the distribution difficulty data of the current logistics order issued by the logistics order issuer. This disclosure There is no restriction on this. Those skilled in the art can understand that it is possible to obtain and calculate the distribution difficulty data of the logistics order issued by the logistics order issuer by means of related technologies, which will not be repeated in this disclosure.
- the capacity information includes: the area where the logistics order issuer is located or the area where the logistics order is generated (for example, a business district), the capacity of competing products in the area, and whether the logistics order issuer uses competition Product capacity and other data.
- the area refers to the geographic area where the logistics order issuer is located, and may refer to the service range, commercial radiation range, and distribution range of the logistics order issuer.
- transportation capacity refers to transportation capacity, and can also refer to objects that provide transportation capacity.
- the capacity information may refer to information related to the transportation capacity and the object providing the transportation capacity.
- the capacity of competing products refers to the capacity other than the capacity provided by the platform that implements the logistics service providing solution according to the embodiment of the present disclosure.
- the capacity information of the area where the logistics order issuer is located may include the historical capacity information of the area where the logistics order issuer is located, and may also include the real-time capacity information of the area where the logistics order issuer is located, which is not limited in this disclosure.
- the transportation capacity information of the area where the logistics order issuer is located can be obtained and calculated by means in related technologies, for example, obtained from the user portrait of the logistics order issuer. This disclosure will not be repeated here.
- obtaining real-time capacity information may refer to obtaining real-time capacity information in the area where the logistics order is generated.
- Those skilled in the art can understand that since the capacity information in the area may change at any time, if logistics services are to be provided, real-time capacity information needs to be obtained.
- step S110 includes: obtaining a cancellation portrait of the logistics order issuer canceling the logistics order according to the characteristics related to the behavior of canceling the logistics order and real-time capacity information.
- user portraits are also known as user roles. As an effective tool for delineating target users, contacting user demands and design directions, user portraits have been widely used in various fields. User portraits are widely used in the Internet field. In the context of the big data era, user information is flooded in the network, and each specific user information is abstracted into tags, and these tags are used to form user portraits, thereby providing users with targeted services .
- the cancellation portrait of the logistics order issuer canceling the logistics order refers to one aspect of the user portrait of the logistics order issuer, that is, the use of the logistics order issuer’s user portrait included in the logistics order A portrait composed of labels related to his behavior.
- the main body described in the cancellation portrait of the logistics order issuer canceling the logistics order is "the behavior of the logistics order issuer canceling the logistics order".
- the characteristics related to the behavior of canceling the logistics order and real-time capacity information including: obtaining the logistics order issuer canceling the logistics according to the characteristics related to the behavior of canceling the logistics order and real-time capacity information
- the order cancellation portrait can help determine the appropriate resource provision method to provide resources to the logistics order taker, thereby helping to incentivize the logistics order taker to shorten the order time of logistics orders and increase the probability of taking orders to ensure logistics services The progress. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- Fig. 2 shows a flowchart of a logistics service providing method according to another embodiment of the present disclosure.
- the difference between the logistics service providing method in the embodiment shown in FIG. 2 and the logistics service providing method in the embodiment shown in FIG. 1 is that it further includes the following step S210.
- step S210 resources are provided to the logistics order taker receiving the current logistics order according to the determined resource provision mode.
- the logistics order taker can be specifically motivated to shorten the order of the logistics order. Time length and increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.
- the way of providing resources refers to a way of providing resources to the logistics order taker of the current logistics order.
- this resource provision method can refer to the amount and strategy of tipping the delivery staff (logistics order receiver) to encourage the delivery staff to receive the current logistics order as soon as possible, while avoiding merchants (Logistics order sender) Cancel the current order.
- step S102 in the logistics service providing method according to an embodiment of the present disclosure is described below with reference to FIG. 3.
- Fig. 3 shows a flowchart of an example of step S102 in the logistics service providing method according to an embodiment of the present disclosure.
- step S120 includes the following steps S310 and S320:
- step S310 based on the characteristics related to the behavior of cancelling the logistics order and real-time capacity information, estimate the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted and the cancellation probability of the current logistics order being cancelled by the logistics order issuer.
- step S320 the resource provision method is determined according to the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted, the cancellation probability of the current logistics order being cancelled by the logistics order issuer, and real-time capacity information.
- the method for providing resources is determined based on the characteristics related to the behavior of canceling the logistics order and real-time capacity information, including: estimating the logistics order based on the characteristics related to the behavior of canceling the logistics order and real-time capacity information
- the cancellation probability of the sender’s cancellation and the real-time capacity information to determine the resource provision method can help determine the appropriate resource provision method to provide resources to the logistics order receiver, thereby helping to encourage the logistics order receiver to shorten the logistics order Order duration and increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the
- the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted is the waiting time estimated based on the characteristics related to the logistics order issuer’s cancellation of the logistics order, and does not refer to logistics.
- the true maximum waiting time of the order sender for the current logistics order helps to determine the resource provision method to provide resources to the logistics order taker who takes the current logistics order.
- the logistics order issuer after the logistics order issuer places the logistics order, it can be calculated based on the specific information of the current logistics order (or called the portrait of the logistics order) and the real-time capacity information of the area where the current logistics order is placed.
- the estimated waiting time for the current logistics order After that, according to the expected waiting time and the cancellation profile of the logistics order issuer's cancellation of the logistics order, the maximum waiting time of the logistics order issuer for the current logistics order and the cancellation probability of the current logistics order being cancelled by the logistics order issuer are calculated.
- step S102 in the logistics service providing method according to an embodiment of the present disclosure with reference to FIG. 4.
- Fig. 4 shows a flowchart of an example of step S102 in the logistics service providing method according to an embodiment of the present disclosure.
- step S120 includes the following steps S410 and S420:
- step S410 based on the real-time transportation capacity information, the order-taking time and the order-taking probability for the logistics order taker to take the current logistics order are estimated.
- step S420 the resource provision method is determined according to the characteristics related to the behavior of canceling the logistics order, as well as the order duration and order probability of the logistics order taker receiving the current logistics order.
- determining the resource provision method based on the characteristics related to the behavior of canceling the logistics order and the real-time capacity information includes: estimating the logistics order taker based on the real-time capacity information Receive the order duration and probability of receiving the current logistics order; determine the resource according to the characteristics related to the behavior of canceling the logistics order, and the order duration and probability of the logistics order receiver receiving the current logistics order
- the provision method can help determine the appropriate resource provision method to provide resources to the logistics order taker, thereby helping to incentivize the logistics order taker to shorten the order duration of the logistics order and increase the order probability to ensure the progress of the logistics service . Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- step S410 includes: calculating the order duration and the order probability of the logistics order taker to receive the current logistics order based on the real-time capacity information of the area where the current logistics order is generated.
- estimating the time and probability of receiving the current logistics order by the logistics order taker based on real-time capacity information includes: calculating logistics based on the real-time capacity information of the area where the current logistics order is generated.
- the order taking time and probability of receiving the current logistics order by the order taker can help determine the appropriate resource provision method for the logistics order taker, thereby helping to encourage the logistics order taker to shorten the logistics order Time for receiving orders and increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- Fig. 5 shows a flowchart of a logistics service providing method according to another embodiment of the present disclosure.
- step S120 includes step S510, and the method further includes steps S520 and S530.
- step S510 the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted and the cancellation probability of the current logistics order being cancelled by the logistics order issuer and the order receiving time for the logistics order taker to receive the current logistics order are summed
- the probability of receiving the order is matched to calculate the time and quantity of resources for the current logistics order to provide resources to the logistics order taker who receives the current logistics order.
- the resource provision method is determined based on the characteristics related to the behavior of canceling the logistics order and real-time capacity information, including: the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted and the current
- the cancellation probability of the logistics order being cancelled by the logistics order sender is matched with the order duration and probability of the logistics order receiving party to receive the current logistics order to calculate the logistics order receiving for the current logistics order to the logistics order receiving the current logistics order.
- the time and quantity of resources provided by the party can help determine the appropriate resource provision method to provide resources to the logistics order taker, thereby helping to incentivize the logistics order taker to shorten the logistics order receiving time and increase the order probability To ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the resource provision method can be determined in various ways. In an embodiment of the present disclosure, only the embodiment shown in FIG. 3 may be referred to to determine the resource provision manner. In an embodiment of the present disclosure, only the implementation shown in FIG. 4 may be referred to to determine the resource provision manner. In an embodiment of the present disclosure, the embodiment shown in FIG. 3 may be combined with the embodiment shown in FIG. 4 to determine the resource provision mode.
- the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted and the cancellation probability of the current logistics order being cancelled by the logistics order issuer can be compared with the logistics order taker receiving the current logistics order. Matching (calculation or comparison) between the order receiving time and the order probability of the logistics order taker to determine whether the logistics order taker’s order taking probability and order taking time can meet the logistics order sender’s maximum waiting time requirement, and then determine the resources Provide methods to incentivize the logistics order taker to take the current logistics order before the maximum waiting time of the logistics order sender arrives.
- the logistics order taker’s probability of receiving the current order and the change in the order duration are contradictory.
- the probability of receiving the order is large, the time for receiving the order will be longer; when the probability of receiving the order is small, the order is received The time will be shorter.
- the optimal order acceptance probability and order duration plan for example, the order acceptance time is determined when the order probability is the largest, or the order acceptance time is determined when the order probability is not less than 60%. Single duration, etc.
- the change in the maximum waiting time and the cancellation probability of the current logistics order by the logistics order sender is also contradictory The phenomenon. It can be understood that the longer the maximum waiting time of the logistics order sender, the more it is willing to spend more time on this logistics order, so the probability of canceling this current logistics order is also smaller.
- the resource provision method may include the time and the amount of resources for the current logistics order to provide resources to the logistics order taker who receives the current logistics order.
- an O2O merchant expects the rider (or delivery person) to take the order within 5 minutes after placing an order on the platform that provides logistics services, that is, the estimated maximum waiting time is 5 minutes, but the platform that provides logistics services estimates the probability of the rider taking the order In the case of 80%, the order time is 10 minutes. At this time, O2O merchants may cancel the logistics order because the rider's order time exceeds the maximum waiting time. In this case, resources (for example, tips, points, praise, etc.) can be provided to the rider through a certain resource provision method to encourage the rider to shorten the order time.
- resources for example, tips, points, praise, etc.
- a tip of RMB 2 can be provided to the rider to encourage the rider to receive the current logistics order as soon as possible.
- a tip of RMB 4 and 10 points can be provided to the rider to encourage the rider to receive the current logistics order as soon as possible.
- the resource provision method is to increase the resources provided to the logistics order taker at regular intervals after the current logistics order appears, so as to encourage the logistics order taker to take the current logistics order as soon as possible.
- resource provision strategies when determining the resource provision mode, it is necessary to make the incentive effect of the few resources as high as possible. Therefore, it is necessary to control the time for providing resources and the upper limit of the resources provided.
- resource provision methods can be configured according to the competing product situations in different regions (commercial circles) where the logistics order issuer is located to ensure the effect of applying the logistics service provision solution according to the embodiments of the present disclosure.
- the resource provision manner may define the relationship between the time point and the quantity of resources provided to the logistics order taker.
- the resource provision method may limit the optimal time point and the optimal quantity of resources provided to the logistics order taker. Therefore, it is possible to determine an appropriate resource provision method to provide resources to the logistics order taker who receives the current logistics order, thereby helping to incentivize the logistics order taker to shorten the order time of logistics orders and increase the probability of taking orders to ensure logistics services The progress. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- step S210 in the embodiment shown in FIG. 2 includes: providing resources to the logistics order taker receiving the current logistics order according to the calculated resource quantity at the calculated time.
- the provision of resources to the logistics order taker receiving the current logistics order by the determined resource provision method includes: at a calculated time, the number of resources is calculated to receive
- the logistics order taker of the current logistics order provides resources, which helps to incentivize the logistics order taker to shorten the order time of logistics orders and increase the probability of taking orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the optimal time point and the optimal number of tips to be provided to the delivery staff receiving the current logistics order can be calculated according to the resource provision method, so that at this optimal time point, according to the calculated optimal The amount provides tips to the delivery staff to motivate the delivery staff to take orders as soon as possible.
- step S520 the potential logistics order taker of the current logistics order is notified of the time and quantity of resources that will be provided to the logistics order taker of the current logistics order.
- the potential logistics order taker of the current logistics order is notified of the time and the quantity of resources that will be provided to the logistics order taker of the current logistics order, thereby helping to encourage logistics
- the order receiver shortens the order-taking time of logistics orders and increases the probability of receiving orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- step S530 the logistics order issuer is notified of the time and the quantity of resources that will be provided to the logistics order taker receiving the current logistics order.
- the logistics order issuer by notifying the logistics order issuer of the time and quantity of resources that will be provided to the logistics order taker receiving the current logistics order, it helps to encourage the logistics order issuer to maintain or extend
- the maximum waiting time increases the probability of receiving orders to ensure the progress of logistics services, thereby increasing the customer viscosity of the logistics order issuer to the logistics service provider platform.
- step S520 and step S530 are shown in FIG. 5 at the same time, the logistics service providing method according to the embodiment of the present disclosure may only include one of step S520 and step S530.
- step S510 includes: according to a preset resource management rule, calculating the time and quantity of resources for the current logistics order to provide resources to the logistics order taker receiving the current logistics order.
- calculating the time and quantity of resources for the current logistics order to provide resources to the logistics order taker receiving the current logistics order includes: calculating the current logistics order according to preset resource management rules
- the time and quantity of resources provided by the order to the logistics order taker receiving the current logistics order can help determine the appropriate resource provision method to provide resources to the logistics order taker, thereby helping to motivate the logistics order taker
- Shorten the order time of logistics orders and increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the resources to be provided may be borne by the platform, it is necessary to maximize the incentive effect of the resources, and to control the time and amount of resources provided, different resource management rules need to be configured according to different situations. (Or resource provision strategy) to ensure the effectiveness of resource provision.
- step S410 shown in FIG. 4 includes: calculating the order duration and order probability for the logistics order taker to receive the current logistics order based on the real-time capacity information of the area where the current logistics order is generated .
- FIGS. 1 to 5 the embodiments described in FIGS. 1 to 5 can be combined to achieve corresponding technical effects.
- FIG. 6 shows a schematic flow chart of an application scenario of a logistics service providing method according to an embodiment of the present disclosure.
- Figure 6 shows a scenario where merchants call logistics services on a platform providing logistics services.
- the merchant places the current logistics service order on the platform that provides the logistics service, and calls the logistics service. At this time, the merchant is waiting for the rider to take the current logistics service order.
- the platform that provides logistics services obtains the merchant’s cancellation probability of the current logistics order and the maximum waiting time for the rider to take the order based on the merchant’s cancellation order model.
- the platform that provides logistics services estimates the probability and duration of the current logistics order based on the real-time capacity information.
- the merchant’s cancellation probability of the current logistics order and the maximum waiting time for waiting for the rider to take the order are matched with the shipping capacity to the current logistics order’s probability of taking the order and the order time to determine the capacity to receive the current logistics order
- the resource provision method for consumption that is, provide the time point and amount of tip. Notify potential riders of the determined time point and amount of tip provided to stimulate potential riders to take orders. After the potential order rider has a rider who actually takes the order, the delivery starts.
- Fig. 7 shows a structural block diagram of a logistics service providing device according to an embodiment of the present disclosure.
- the logistics service providing apparatus 700 includes an acquisition module 710 and a determination module 720.
- the obtaining module 710 is configured to obtain characteristics related to the behavior of canceling a logistics order and real-time capacity information.
- the determining module 720 is configured to determine the resource provision method according to the characteristics related to the behavior of canceling the logistics order and the real-time capacity information.
- the acquiring module is configured to acquire characteristics related to the behavior of canceling logistics orders and real-time capacity information; the determining module is configured to acquire characteristics related to the behavior of canceling logistics orders and real-time information
- the transportation capacity information determines the resource provision method and can determine the appropriate resource provision method to provide resources to the logistics order taker, thereby helping to incentivize the logistics order taker to shorten the order duration of logistics orders and increase the probability of taking orders to ensure the logistics service get on. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- Fig. 8 shows a structural block diagram of a logistics service providing device according to another embodiment of the present disclosure.
- the difference between the logistics service providing device 800 in the embodiment shown in FIG. 8 and the logistics service providing device 700 in the embodiment shown in FIG. 7 is that it further includes the following providing module 810.
- the providing module 810 is configured to provide resources to the logistics order taker who takes the current logistics order according to the determined resource provision mode.
- the provision module is configured to provide resources to the logistics order taker who accepts the current logistics order according to the determined resource provision method, which can motivate the logistics order taker in a targeted manner Shorten the order time of logistics orders and increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- FIG. 9 shows a structural block diagram of an example of the determining module 720 in the logistics service providing apparatus according to an embodiment of the present disclosure.
- the determination module 720 includes the following first estimation sub-module 910 and first determination sub-module 920.
- the first estimation sub-module 910 is configured to estimate the maximum waiting time for the logistics order issuer to wait for the current logistics order to be received and the current logistics order based on the current logistics order information, the characteristics related to the behavior of canceling the logistics order, and real-time capacity information The probability of cancellation by the sender of the logistics order.
- the first determining submodule 920 is configured to determine the resource provision method according to the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted, the cancellation probability of the current logistics order being cancelled by the logistics order issuer, and real-time capacity information.
- the determining module includes: a first estimation sub-module configured to estimate the sender of the logistics order based on the information of the current logistics order, the characteristics related to the behavior of canceling the logistics order, and the real-time capacity information The maximum waiting time for waiting for the current logistics order to be accepted and the cancellation probability of the current logistics order being cancelled by the logistics order sender; the first determining sub-module is configured to wait for the current logistics order to be received according to the logistics order sender's maximum waiting time And the cancellation probability of the current logistics order being cancelled by the logistics order issuer, and the real-time capacity information to determine the resource provision method can help determine the appropriate resource provision method to provide resources to the logistics order receiver, thereby helping to incentivize logistics order acceptance
- the fetching party shortens the order time of logistics orders and increases the probability of receiving orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of
- the following describes another example of the determination module 720 in the logistics service providing apparatus according to an embodiment of the present disclosure with reference to FIG. 10.
- FIG. 10 shows a structural block diagram of another example of the determining module 720 in the logistics service providing apparatus according to an embodiment of the present disclosure.
- the determination module 720 includes the following second estimation sub-module 1010 and second determination sub-module 1020.
- the second estimating submodule 1010 is configured to estimate, based on the real-time capacity information, the order-taking time and the order-taking probability for the logistics order taker to take the current logistics order.
- the second determining sub-module 1020 is configured to determine the resource provision method based on the characteristics related to the behavior of canceling the logistics order, as well as the order duration and the order probability of the logistics order taker receiving the current logistics order.
- the determining module includes: a second estimation sub-module, configured to estimate, based on real-time capacity information, the order duration and the order probability for the logistics order taker to receive the current logistics order; second The determining sub-module is configured to determine the resource provision method according to the characteristics related to the behavior of canceling the logistics order, as well as the order duration and order probability of the logistics order taker to take the current logistics order, which can help determine the logistics order Appropriate resource provision methods for the taker to provide resources, thereby helping to incentivize the logistics order taker to shorten the order time of logistics orders and increase the probability of taking orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the determining module 720 described in the foregoing embodiment is further configured to: the maximum waiting time for the logistics order issuer to wait for the current logistics order to be received and the current logistics order cancelled by the logistics order issuer
- the cancellation probability is matched with the order duration and the order probability of the logistics order taker receiving the current logistics order to calculate the time and quantity of resources for the current logistics order to provide resources to the logistics order taker receiving the current logistics order.
- the determining module through the determining module, it is also configured to: determine the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted and the cancellation probability of the current logistics order being cancelled by the logistics order issuer and logistics
- the order taker receives the current logistics order to receive the order time and the probability of order matching to calculate the current logistics order to provide resources to the logistics order taker receiving the current logistics order time and resource quantity, which can help Determine the appropriate resource provision method to provide resources to the logistics order taker, so as to help encourage the logistics order taker to shorten the order time of logistics orders and increase the probability of taking orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.
- the providing module 810 in the embodiment shown in FIG. 2 is further configured to: at the calculated time, send the current logistics order to the logistics order taker according to the calculated resource quantity. Provide resources.
- the providing module is also configured to provide resources to the logistics order taker receiving the current logistics order according to the calculated resource quantity at the calculated time, thereby helping Encourage logistics order takers to shorten the order time of logistics orders and increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- Fig. 11 shows a structural block diagram of a logistics service providing device according to another embodiment of the present disclosure.
- the difference between the logistics service providing apparatus in the embodiment shown in FIG. 11 and the logistics service providing apparatus in the embodiment shown in FIG. 7 is that it further includes a first notification module 1110 and a second notification module 1120.
- the first notification module 1110 is configured to notify the potential logistics order taker of the current logistics order of the time and amount of resources that will be provided to the logistics order taker of the current logistics order.
- the first notification module is configured to notify the potential logistics order taker of the current logistics order of the time and resources that will provide resources to the logistics order taker of the current logistics order Quantity, which helps to incentivize the logistics order taker to shorten the order time of logistics orders and increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the second notification module 1120 is configured to notify the logistics order issuer of the time and the amount of resources that will be provided to the logistics order taker receiving the current logistics order.
- the second notification module is configured to notify the logistics order issuer of the time and quantity of resources that will be provided to the logistics order taker receiving the current logistics order, thereby helping Encourage the logistics order issuer to maintain or extend the maximum waiting time, increase the probability of receiving orders to ensure the progress of logistics services, and thereby increase the customer viscosity of the logistics order issuer to the logistics service provider platform.
- the logistics service providing device in the embodiment of the present disclosure may only include the first notification module and the second notification module.
- the determining module 720 described in the foregoing embodiment is further configured to: according to preset resource management rules, calculate the resources provided to the logistics order taker receiving the current logistics order for the current logistics order The amount of time and resources.
- the determining module is also configured to: according to preset resource management rules, calculate the time and resources for the current logistics order to provide resources to the logistics order taker receiving the current logistics order
- the quantity can help determine the appropriate resource provision method to provide resources to the logistics order taker, thereby helping to incentivize the logistics order taker to shorten the order duration of logistics orders and increase the probability of taking orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the acquiring module 710 described in the foregoing embodiment is further configured to acquire a cancellation portrait of the logistics order issuer canceling the logistics order according to characteristics related to the behavior of canceling the logistics order and real-time capacity information.
- the acquisition module is also configured to acquire the cancellation portrait of the logistics order issuer canceling the logistics order according to the characteristics related to the behavior of canceling the logistics order and real-time capacity information, which can help determine Appropriate resource provision methods that provide resources to the logistics order taker will help to incentivize the logistics order taker to shorten the order time of logistics orders and increase the probability of taking orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the second estimation module 1010 described in the foregoing embodiment is further configured to calculate the order of the logistics order taker to take the current logistics order based on the real-time capacity information of the area where the current logistics order is generated Duration and probability of taking orders.
- the second estimation module it is further configured to calculate the order duration and order acceptance for the logistics order taker to take the current logistics order based on the real-time capacity information of the area where the current logistics order is generated Probability can help determine the appropriate resource provision method to provide resources to the logistics order taker, thereby helping to incentivize the logistics order taker to shorten the order duration of logistics orders and increase the probability of taking orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the characteristics related to the behavior of canceling a logistics order include data related to the behavior of canceling historical logistics orders of the logistics order issuer and delivery difficulty data of the logistics order issued by the logistics order issuer.
- the characteristics related to the behavior of canceling a logistics order include the data related to the behavior of canceling historical logistics orders of the logistics order issuer and the delivery difficulty data of the logistics order issued by the logistics order issuer, It can help to accurately estimate the maximum waiting time for the logistics order sender to wait for the current logistics order to be received, and determine the appropriate resource provision method to provide resources to the logistics order receiver who receives the current logistics order, thereby helping to stimulate logistics
- the order receiver shortens the order-taking time of logistics orders and increases the probability of receiving orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- FIG. 7 to FIG. 11 can be combined with the embodiment described in FIG. 1 to FIG. 6 to realize the corresponding implementation of the embodiment described with reference to FIG. 1 to FIG. 6 Technical effect.
- the structure of the logistics service providing device can be implemented as a logistics service providing device.
- the electronic device 1200 may include a processor 1201 and memory 1202.
- the memory 1202 is used to store a program that supports the logistics service providing apparatus to execute the logistics service providing method in any one of the foregoing embodiments, and the processor 1201 is configured to execute the program stored in the memory 1202.
- the memory 1202 is configured to store one or more computer instructions, where the one or more computer instructions are executed by the processor 1201 to implement the following steps:
- the resource provision mode is determined according to the characteristics related to the behavior of canceling the logistics order and the real-time capacity information.
- the resource provision method by acquiring the characteristics related to the behavior of canceling logistics orders and real-time capacity information; determining the resource provision method according to the characteristics related to the behavior of canceling logistics orders and the real-time capacity information, Determine the appropriate resource provision method to provide resources to the logistics order taker, so as to help encourage the logistics order taker to shorten the order time of logistics orders and increase the probability of taking orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the one or more computer instructions are also executed by the processor 1201 to implement the following steps:
- the logistics order taker can be specifically motivated to shorten the order of the logistics order. Time length and increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the determining a resource provision method based on the characteristics related to the behavior of canceling a logistics order and the real-time capacity information includes:
- the method for providing resources is determined according to the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted, the cancellation probability of the current logistics order being cancelled by the logistics order issuer, and the real-time capacity information.
- the determination of the resource provision method based on the characteristics related to the behavior of canceling the logistics order and the real-time capacity information includes: based on the information of the current logistics order, and the cancellation of the logistics According to the characteristics related to the behavior of the order and the real-time capacity information, estimate the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted and the cancellation probability of the current logistics order being cancelled by the logistics order issuer; The maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted, the cancellation probability of the current logistics order being cancelled by the logistics order issuer, and the real-time capacity information to determine the resource provision method can help determine the direction
- the logistics order taker provides an appropriate resource provision method for resources, which helps to incentivize the logistics order taker to shorten the order time of logistics orders and increase the probability of taking orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the
- the determining a resource provision method based on the characteristics related to the behavior of canceling a logistics order and the real-time capacity information includes:
- the resource provision method is determined according to the characteristics related to the behavior of canceling the logistics order, as well as the order duration and order probability of the logistics order taker receiving the current logistics order.
- determining the resource provision method based on the characteristics related to the behavior of canceling the logistics order and the real-time capacity information includes: estimating the logistics order taker based on the real-time capacity information Receive the order duration and probability of receiving the current logistics order; determine the resource according to the characteristics related to the behavior of canceling the logistics order, and the order duration and probability of the logistics order receiver receiving the current logistics order
- the provision method can help determine the appropriate resource provision method to provide resources to the logistics order taker, thereby helping to incentivize the logistics order taker to shorten the order duration of the logistics order and increase the order probability to ensure the progress of the logistics service . Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the determining a resource provision method based on the characteristics related to the behavior of canceling a logistics order and the real-time capacity information includes:
- the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted and the cancellation probability of the current logistics order being cancelled by the logistics order issuer are compared with the logistics order taker’s acceptance of the current logistics order.
- the order duration and the order probability are matched to calculate the time and the quantity of resources for the current logistics order to provide resources to the logistics order taker who receives the current logistics order.
- determining the resource provision method based on the characteristics related to the behavior of canceling the logistics order and the real-time capacity information includes: waiting for the logistics order issuer to receive the current logistics order
- the maximum waiting time of the current logistics order and the cancellation probability of the current logistics order being cancelled by the logistics order sender are matched with the order time and probability of the current logistics order received by the logistics order taker to calculate
- the time and quantity of resources provided by the current logistics order to the logistics order taker receiving the current logistics order can help determine the appropriate resource provision method for providing resources to the logistics order taker, thereby helping Encourage logistics order takers to shorten the order time of logistics orders and increase the probability of receiving orders to ensure the progress of logistics services.
- Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the provision of resources to the logistics order taker receiving the current logistics order according to the determined resource provision mode includes:
- resources are provided to the logistics order taker receiving the current logistics order according to the calculated resource quantity.
- the provision of resources to the logistics order taker receiving the current logistics order through the determined resource provision method includes: at a calculated time, according to the calculated resource quantity
- the logistics order taker who receives the current logistics order provides resources, thereby helping to incentivize the logistics order taker to shorten the order-receiving time of the logistics order and increase the order probability to ensure the progress of the logistics service.
- Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the one or more computer instructions are also executed by the processor 1201 to implement the following steps:
- the embodiments of the present disclosure by notifying the potential logistics order taker of the current logistics order of the time and quantity of resources that will be provided to the logistics order taker of the current logistics order, It helps to incentivize logistics order takers to shorten the time of receiving logistics orders and increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the one or more computer instructions are also executed by the processor 1201 to implement the following steps:
- the logistics order issuer by notifying the logistics order issuer of the time and quantity of resources that will be provided to the logistics order receiver who will receive the current logistics order, it helps to motivate the logistics order to be issued.
- the party maintains or extends the maximum waiting time, increases the probability of receiving orders to ensure the progress of logistics services, and thereby increases the customer viscosity of the logistics order issuer to the logistics service platform.
- the calculation of the time and the quantity of resources for the current logistics order to provide resources to the logistics order taker who receives the current logistics order includes:
- the calculation of the time and the quantity of resources for the current logistics order to provide resources to the logistics order taker receiving the current logistics order includes: according to preset resource management rules, Calculating the time and quantity of resources for the current logistics order to provide resources to the logistics order taker who receives the current logistics order can help determine the appropriate resource provision method for providing resources to the logistics order taker.
- Encourage logistics order takers to shorten the order time of logistics orders and increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.
- the acquiring characteristics related to the behavior of canceling a logistics order and real-time capacity information includes:
- acquiring the characteristics related to the behavior of canceling a logistics order and real-time transportation capacity information includes: acquiring information about the characteristics related to the behavior of canceling a logistics order and the real-time transportation capacity information.
- the cancellation portrait of the logistics order issuer canceling the logistics order can help determine the appropriate resource provision method to provide resources to the logistics order taker, thereby helping to motivate the logistics order taker to shorten the logistics order receiving time and increase it Probability of receiving orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the estimating the order taking time and the order probability for the logistics order taker to take the current logistics order based on the real-time capacity information includes:
- the order-taking time and the order-taking probability for the logistics order taker to receive the current logistics order are calculated.
- the estimating the time and probability of receiving the current logistics order by the logistics order taker based on the real-time capacity information includes: based on the region where the current logistics order is generated.
- the real-time transportation capacity information calculated by the logistics order taker can help determine the appropriate resource provision method to provide resources to the logistics order taker, thereby contributing to incentives
- the logistics order taker shortens the order time of logistics orders and increases the probability of receiving orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the characteristics related to the behavior of canceling a logistics order include data related to the behavior of canceling historical logistics orders of the logistics order issuer and the information of the logistics order issued by the logistics order issuer. Delivery difficulty data.
- the characteristics related to the behavior of canceling a logistics order include the data related to the behavior of canceling historical logistics orders of the logistics order issuer and the logistics issued by the logistics order issuer.
- the distribution difficulty data of the order can help accurately estimate the maximum waiting time for the logistics order sender to wait for the current logistics order to be received, and determine the appropriate resource provision method to provide resources to the logistics order receiver who receives the current logistics order. This helps to incentivize the logistics order taker to shorten the order time of logistics orders and increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service providing platform.
- the processor 1201 is configured to execute all or part of the foregoing method steps.
- the structure of the logistics service providing equipment may further include a communication interface for communication between the logistics service providing equipment and other equipment or a communication network.
- Exemplary embodiments of the present disclosure also provide a computer storage medium for storing computer software instructions used by the logistics service providing device, which includes programs for executing the logistics service providing method in any of the above embodiments, So as to have the technical effect brought by the method.
- FIG. 13 is a schematic structural diagram of a computer system suitable for implementing a logistics service providing method according to an embodiment of the present disclosure.
- the computer system 1300 includes a central processing unit (CPU) 1301, which can be based on a program stored in a read-only memory (ROM) 1302 or a program loaded from a storage portion 1308 into a random access memory (RAM) 1303
- CPU central processing unit
- RAM random access memory
- the various processes in the embodiment shown in FIG. 1 are executed.
- RAM 1303 various programs and data required for the operation of the system 1300 are also stored.
- the CPU 1301, ROM 1302, and RAM 1303 are connected to each other through a bus 1304.
- An input/output (I/O) interface 1305 is also connected to the bus 1304.
- the following components are connected to the I/O interface 1305: an input part 1306 including a keyboard, a mouse, etc.; an output part 1307 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc. and speakers, etc.; a storage part 1308 including a hard disk, etc. ; And a communication section 1309 including a network interface card such as a LAN card and a modem.
- the communication section 1309 performs communication processing via a network such as the Internet.
- the driver 1310 is also connected to the 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, etc., is installed on the drive 1310 as required, so that the computer program read from it is installed into the storage portion 1308 as required.
- the method described above with reference to FIG. 1 may be implemented as a computer software program.
- the embodiments of the present disclosure include a computer program product, which includes a computer program tangibly contained on a readable medium thereof, and the computer program includes program code for executing the data processing method of FIG. 1.
- the computer program may be downloaded and installed from the network through the communication part 1309, and/or installed from the removable medium 1311.
- each block in the route diagram or block diagram may represent a module, program segment, or part of the code, and the module, program segment, or part of the code contains one or more functions for realizing the specified logical function.
- Executable instructions may also occur in a different order from the order marked in the drawings. For example, two blocks shown in succession can actually be executed substantially in parallel, or they can sometimes be executed in the reverse order, depending on the functions involved.
- each block in the block diagram and/or flowchart, and the combination of the blocks in the block diagram and/or flowchart can be implemented by a dedicated hardware-based system that performs the specified functions or operations Or it can be realized by a combination of dedicated hardware and computer instructions.
- the units or modules involved in the embodiments described in the present disclosure can be implemented in software or hardware.
- the described units or modules may also be provided in the processor, and the names of these units or modules do not constitute a limitation on the unit or module itself under certain circumstances.
- the present disclosure also provides a computer-readable storage medium.
- the computer-readable storage medium may be the computer-readable storage medium included in the device described in the above-mentioned embodiments; or it may exist alone without A computer-readable storage medium incorporated into the device.
- the computer-readable storage medium stores one or more programs, and the programs are used by one or more processors to execute the methods described in the present disclosure, thereby having the technical effects brought about by the methods.
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Abstract
本公开实施例公开了一种物流服务提供方法、装置、电子设备及可读存储介质,所述方法包括:获取与取消物流订单的行为相关的特征以及实时运力信息;根据所述与取消物流订单的行为相关的特征以及所述实时运力信息确定资源提供方式,可以确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
Description
相关申请的交叉引用
本申请要求于2019年3月8日提交的中国专利申请号为“CN201910176500.3”的优先权,其全部内容作为整体并入本申请中。
本公开涉及互联网技术领域,具体涉及一种物流服务提供方法、装置、电子设备及可读存储介质。
提供快递服务的平台可以为诸如O2O商户之类的销售方提供呼叫物流配送的服务。例如,在O2O本地配送的情况下,在O2O商户呼叫配送后,进入众包骑手抢配送订单或物流订单环节。骑手可以根据配送订单的距离、价格、配送难易程度等因素挑选适合自己的物流订单接单,并开始配送。由于销售方的订单分布不均匀,因此销售方的位置、配送物品品类、物流订单距离等均不相同。在此情况下,每个销售方发出的物流订单被配送方接取的接单率(物流订单被接取的比率)也不尽相同,物流订单发出后等待例如骑手之类的配送方接取的时间也有长有短。而且,在一些销售方面对的配送服务提供商较多的情况下,配送服务提供商接单时长过长可能会导致销售方取消物流订单。对于提供快递服务的平台而言,可能面临商户和物流订单流失的情况。因此,相关技术难以缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。
发明内容
为了解决相关技术中的问题,本公开实施例提供一种物流服务提供方法、装置、电子设备及可读存储介质。
第一方面,本公开实施例中提供了一种物流服务提供方法,包括:
获取与取消物流订单的行为相关的特征以及实时运力信息;
根据所述与取消物流订单的行为相关的特征以及所述实时运力信息确定资源提供方式。
结合第一方面,本公开在第一方面的第一种实现方式中,还包括:
根据所确定的资源提供方式向接取当前物流订单的物流订单接取方提供资源。
结合第一方面,本公开在第一方面的第二种实现方式中,所述根据所述与取消物流订单的行为相关的特征以及所述实时运力信息确定资源提供方式,包括:
基于当前物流订单的信息、所述与取消物流订单的行为相关的特征以及所述实时运力信息,估计物流订单发出方等待所述当前物流订单被接取的最大等待时长和所述当前物流订单被所述物流订单发出方取消的取消概率;
根据物流订单发出方等待当前物流订单被接取的最大等待时长和所述当前物流订单被所述物流订单发出方取消的取消概率、以及所述实时运力信息确定资源提供方式。
结合第一方面,本公开在第一方面的第三种实现方式中,所述根据所述与取消物流订单的行为相关的特征以及所述实时运力信息确定资源提供方式,包括:
基于所述实时运力信息估计物流订单接取方接取当前物流订单的接单时长和接单概率;
根据所述与取消物流订单的行为相关的特征、以及所述物流订单接取方接取当前物流订单的接单时长和接单概率确定资源提供方式。
结合第一方面或第一方面的第一种实现方式至第三种实现方式中的任一项,本公开在第一方面的第四种实现方式中,所述根据所述与取消物流订单的行为相关的特征以及所述实时运力信息确定资源提供方式,包括:
对物流订单发出方等待当前物流订单被接取的最大等待时长和所述当前物流订单被所述物流订单发出方取消的取消概率与所述物流订单接取方接取所述当前物流订单的接单时长和接单概率进行匹配,以计算针对所述当前物流订单向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量。
结合第一方面的第四种实现方式,本公开在第一方面的第五种实现方式中,所述根据所确定的资源提供方式向接取当前物流订单的物流订单接取方提供资源,包括:
在计算出的时间,按照计算出的资源数量向接取所述当前物流订单的物流订单接取方提供资源。
结合第一方面的第四种实现方式,本公开在第一方面的第六种实现方式中,还包括:
向所述当前物流订单的潜在物流订单接取方通知将要向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量。
结合第一方面的第四种实现方式,本公开在第一方面的第七种实现方式中,还包括:
向所述物流订单发出方通知将要向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量。
结合第一方面的第四种实现方式,本公开在第一方面的第八种实现方式中,所述计算针对当前物流订单向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量,包括:
根据预设的资源管理规则,计算针对当前物流订单向接取所述当前物流订单 的物流订单接取方提供资源的时间及资源数量。
结合第一方面或第一方面的第一种实现方式至第三种实现方式中的任一项,本公开在第一方面的第九种实现方式中,所述获取与取消物流订单的行为相关的特征以及实时运力信息,包括:
根据所述与取消物流订单的行为相关的特征以及所述实时运力信息获取所述物流订单发出方取消物流订单的取消画像。
结合第一方面的第三种实现方式,本公开在第一方面的第十种实现方式中,所述基于所述实时运力信息估计物流订单接取方接取当前物流订单的接单时长和接单概率,包括:
基于产生所述当前物流订单的区域的实时运力信息计算物流订单接取方接取所述当前物流订单的接单时长和接单概率。
结合第一方面或第一方面的第一种实现方式至第三种实现方式中的任一项,本公开在第一方面的第十一种实现方式中,所述与取消物流订单的行为相关的特征包括所述物流订单发出方的与取消历史物流订单的行为相关的数据和所述物流订单发出方发出的物流订单的配送难度数据。
第二方面,本公开实施例中提供了一种物流服务提供装置,包括:
获取模块,被配置为获取与取消物流订单的行为相关的特征以及实时运力信息;
确定模块,被配置为根据所述与取消物流订单的行为相关的特征以及所述实时运力信息确定资源提供方式。
结合第二方面,本公开在第二方面的第一种实现方式中,还包括:
提供模块,被配置为根据所确定的资源提供方式向接取当前物流订单的物流订单接取方提供资源。
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:
第一估计子模块,被配置为基于当前物流订单的信息、所述与取消物流订单的行为相关的特征以及所述实时运力信息,估计物流订单发出方等待所述当前物流订单被接取的最大等待时长和所述当前物流订单被所述物流订单发出方取消的取消概率;
第一确定子模块,被配置为根据物流订单发出方等待当前物流订单被接取的最大等待时长和所述当前物流订单被所述物流订单发出方取消的取消概率、以及所述实时运力信息确定资源提供方式。
结合第二方面,本公开在第二方面的第三种实现方式中,所述确定模块包括:
第二估计子模块,被配置为基于所述实时运力信息估计物流订单接取方接取当前物流订单的接单时长和接单概率;
第二确定子模块,被配置为根据所述与取消物流订单的行为相关的特征、以及所述物流订单接取方接取当前物流订单的接单时长和接单概率确定资源提供方式。
结合第二方面或第二方面的第一种实现方式至第三种实现方式中的任一项, 本公开在第二方面的第四种实现方式中,所述确定模块还被配置为:
对物流订单发出方等待当前物流订单被接取的最大等待时长和所述当前物流订单被所述物流订单发出方取消的取消概率与所述物流订单接取方接取所述当前物流订单的接单时长和接单概率进行匹配,以计算针对所述当前物流订单向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量。
结合第二方面的第四种实现方式,本公开在第二方面的第五种实现方式中,所述提供模块还被配置为:
在计算出的时间,按照计算出的资源数量向接取所述当前物流订单的物流订单接取方提供资源。
结合第二方面的第四种实现方式,本公开在第二方面的第六种实现方式中,还包括:
第一通知模块,被配置为向所述当前物流订单的潜在物流订单接取方通知将要向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量。
结合第二方面的第四种实现方式,本公开在第二方面的第七种实现方式中,还包括:
第二通知模块,被配置为向所述物流订单发出方通知将要向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量。
结合第二方面的第四种实现方式,本公开在第二方面的第八种实现方式中,所述确定模块还被配置为:
根据预设的资源管理规则,计算针对当前物流订单向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量。
结合第二方面或第二方面的第一种实现方式至第三种实现方式中的任一项,本公开在第二方面的第九种实现方式中,所述获取模块还被配置为:
根据所述与取消物流订单的行为相关的特征以及所述实时运力信息获取所述物流订单发出方取消物流订单的取消画像。
结合第二方面的第三种实现方式,本公开在第二方面的第十种实现方式中,所述第二估计模块还被配置为:
基于产生所述当前物流订单的区域的实时运力信息计算物流订单接取方接取所述当前物流订单的接单时长和接单概率。
结合第二方面或第二方面的第一种实现方式至第三种实现方式中的任一项,本公开在第二方面的第十一种实现方式中,所述与取消物流订单的行为相关的特征包括所述物流订单发出方的与取消历史物流订单的行为相关的数据和所述物流订单发出方发出的物流订单的配送难度数据。
第三方面,本公开实施例中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十一种实现方式任一项所述的方法。
第四方面,本公开实施例中提供了一种可读存储介质,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十一种实现方式任一项所述的方法。
本公开实施例提供的技术方案可以包括以下有益效果:
根据本公开实施例提供的技术方案,通过获取与取消物流订单的行为相关的特征以及实时运力信息;根据所述与取消物流订单的行为相关的特征以及所述实时运力信息确定资源提供方式,可以确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
根据本公开实施例提供的技术方案,通过根据所确定的资源提供方式向接取当前物流订单的物流订单接取方提供资源,可以有针对性地激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
根据本公开实施例提供的技术方案,通过所述根据所述与取消物流订单的行为相关的特征以及所述实时运力信息确定资源提供方式,包括:基于当前物流订单的信息、所述与取消物流订单的行为相关的特征以及所述实时运力信息,估计物流订单发出方等待所述当前物流订单被接取的最大等待时长和所述当前物流订单被所述物流订单发出方取消的取消概率;根据物流订单发出方等待当前物流订单被接取的最大等待时长和所述当前物流订单被所述物流订单发出方取消的取消概率、以及所述实时运力信息确定资源提供方式,可以有助于确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
根据本公开实施例提供的技术方案,通过所述根据所述与取消物流订单的行为相关的特征以及所述实时运力信息确定资源提供方式,包括:基于所述实时运力信息估计物流订单接取方接取当前物流订单的接单时长和接单概率;根据所述与取消物流订单的行为相关的特征、以及所述物流订单接取方接取当前物流订单的接单时长和接单概率确定资源提供方式,可以有助于确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
根据本公开实施例提供的技术方案,通过所述根据所述与取消物流订单的行为相关的特征以及所述实时运力信息确定资源提供方式,包括:对物流订单发出方等待当前物流订单被接取的最大等待时长和所述当前物流订单被所述物流订 单发出方取消的取消概率与所述物流订单接取方接取所述当前物流订单的接单时长和接单概率进行匹配,以计算针对所述当前物流订单向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量,可以有助于确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
根据本公开实施例提供的技术方案,通过所述根据所确定的资源提供方式向接取当前物流订单的物流订单接取方提供资源,包括:在计算出的时间,按照计算出的资源数量向接取所述当前物流订单的物流订单接取方提供资源,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
根据本公开实施例提供的技术方案,通过向所述当前物流订单的潜在物流订单接取方通知将要向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
根据本公开实施例提供的技术方案,通过向所述物流订单发出方通知将要向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量,从而有助于激励物流订单发出方保持或延长最大等待时长,提升接单概率以保障物流服务的进行,进而提高物流订单发出方对物流服务提供平台的客户粘度。
根据本公开实施例提供的技术方案,通过所述计算针对当前物流订单向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量,包括:根据预设的资源管理规则,计算针对当前物流订单向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量,可以有助于确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
根据本公开实施例提供的技术方案,通过所述获取与取消物流订单的行为相关的特征以及实时运力信息,包括:根据所述与取消物流订单的行为相关的特征以及所述实时运力信息获取所述物流订单发出方取消物流订单的取消画像,可以有助于确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
根据本公开实施例提供的技术方案,通过所述基于所述实时运力信息估计物流订单接取方接取当前物流订单的接单时长和接单概率,包括:基于产生所述当前物流订单的区域的实时运力信息计算物流订单接取方接取所述当前物流订单的接单时长和接单概率,可以有助于确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
根据本公开实施例提供的技术方案,通过所述与取消物流订单的行为相关的特征包括所述物流订单发出方的与取消历史物流订单的行为相关的数据和所述物流订单发出方发出的物流订单的配送难度数据,可以有助于精确地估计物流订单发出方等待当前物流订单被接取的最大等待时长,确定向接取当前物流订单的物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
应当理解的是,以上的一般描述和后文的细节描述仅是示例性和解释性的,并不能限制本公开。
结合附图,通过以下非限制性实施方式的详细描述,本公开的其它标签、目的和优点将变得更加明显。在附图中:
图1示出根据本公开一实施方式的物流服务提供方法的流程图;
图2示出根据本公开另一实施方式的物流服务提供方法的流程图;
图3示出根据本公开一实施方式的物流服务提供方法中的步骤S102的一个示例的流程图;
图4示出根据本公开一实施方式的物流服务提供方法中的步骤S102的另一个示例的流程图;
图5示出根据本公开又一实施方式的物流服务提供方法的流程图;
图6示出根据本公开一实施方式的物流服务提供方法的应用场景的流程示意图;
图7示出根据本公开一实施方式的物流服务提供装置的结构框图;
图8示出根据本公开另一实施方式的物流服务提供装置的结构框图;
图9示出根据本公开一实施方式的物流服务提供装置中的确定模块720的一个示例的结构框图;
图10示出根据本公开一实施方式的物流服务提供装置中的确定模块720的另一个示例的结构框图;
图11示出根据本公开又一实施方式的物流服务提供装置的结构框图;
图12示出根据本公开一实施方式的电子设备的结构框图;
图13是适于用来实现根据本公开一实施方式的物流服务提供方法的计算机系统的结构示意图。
下文中,将参考附图详细描述本公开的示例性实施方式,以使本领域技术人员可容易地实现它们。此外,为了清楚起见,在附图中省略了与描述示例性实施方式无关的部分。
在本公开中,应理解,诸如“包括”或“具有”等的术语旨在指示本说明书中所公开的标签、数字、步骤、行为、部件、部分或其组合的存在,并且不欲排除一个或多个其他标签、数字、步骤、行为、部件、部分或其组合存在或被添加的可能性。
另外还需要说明的是,在不冲突的情况下,本公开中的实施例及实施例中的标签可以相互组合。下面将参考附图并结合实施例来详细说明本公开。
根据本公开实施例提供的技术方案,通过获取与取消物流订单的行为相关的特征以及实时运力信息;根据与取消物流订单的行为相关的特征以及实时运力信息确定资源提供方式,可以确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
图1示出根据本公开一实施方式的物流服务提供方法的流程图。如图1所示,所述物流服务提供方法包括以下步骤S110和S120:
在步骤S110中,获取与取消物流订单的行为相关的特征以及实时运力信息。
在步骤S120中,根据与取消物流订单的行为相关的特征以及实时运力信息确定资源提供方式。
在本公开中,物流服务的范围可以包括同城快递和运输、跨省、市的快递和运输、跨国的快递和运输等。
在本公开中,当商品订单的销售方在提供物流服务的平台对物流服务进行选择后,可以针对此商品订单生成物流服务的物流订单。需要注意,在本公开的实施例中,销售方销售给购买方的货物或商品的订单被称为“商品订单”。在本公开的实施例中,“物流订单”指的是针对“商品订单”的物流服务订单。
在本公开中,物流订单发出方(也可简称为发单方)在发出物流订单(也可简称为发单)可能因为等待物流订单接取方(也可简称为接单方)接取物流订单(也可简称为接单)的接单时长超出自己预期的接单时长而取消物流订单的行为。例如,O2O商户在提供物流服务的平台上发单后预期骑手(或配送员)在5分钟 内接单,即,估计的最大等待时长为5分钟,但是提供物流服务的平台估计骑手的接单时长可能超过5分钟,例如,达到了10分钟。此时,O2O商户可能因为接单时长超过最大等待时长而取消物流订单。物流订单发出方取消物流订单的行为会导致提供物流服务的平台的物流订单流失,也影响订单发出方执行商品订单的效率。
在本公开的一个实施例中,与取消物流订单的行为相关的特征包括物流订单发出方的与取消历史物流订单的行为相关的数据和物流订单发出方发出的物流订单的配送难度数据。这有助于精确地估计物流订单发出方等待当前物流订单被接取的最大等待时长,确定向接取当前物流订单的物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
在本公开的一个实施例中,物流订单发出方的与取消历史物流订单的行为相关的数据可以包括:物流订单发出方的取消物流订单的意愿、最大等待时长、价格敏感程度、恶劣天气下的等待时长等各种数据。需要注意,在本公开的实施例中,“物流订单发出方的与取消历史物流订单的行为相关的数据”与“与物流订单发出方取消物流订单的行为相关的特征”不同,前者是与物流订单发出方自身直接相关且与取消物流订单的行为直接相关的描述物流订单发出方自身属性的数据;而后者包括与物流订单发出方不直接相关,但是与订单发出方取消物流订单的行为直接相关的数据和信息。
在本公开的一个实施例中,物流订单发出方发出的物流订单的配送难度数据可以包括对订单发出方的物流订单中商品的品类、配送距离、取送点配送难度等数据。在另一个实施例中,可以基于物流订单发出方的物流订单中商品的品类、配送距离、取送点配送难度等数据计算一个综合的物流订单发出方发出的物流订单的配送难度数据。应该理解,物流订单发出方发出的物流订单的配送难度数据可以包括物流订单发出方发出的历史物流订单的配送难度数据,也可以包括物流订单发出方发出的当前物流订单的配送难度数据,本公开对此不作限制。本领域技术人员可以理解,可以通过相关技术中的手段获取并计算物流订单发出方发出的物流订单的配送难度数据,本公开对此不再赘述。
在本公开的一个实施例中,运力信息包括:物流订单发出方所处区域或物流订单被生成的区域(例如,商圈)、该区域中的竞品运力、物流订单发出方是否使用了竞品运力等数据。在本公开的实施例中,区域指的是物流订单发出方所在的地理区域,可以指的是物流订单发出方的服务范围、商业辐射范围、配送范围等。在本公开的实施例中,运力指的是运输能力,也可以指的是提供运输能力的对象。在本公开的实施例中,运力信息可以指的是与运输能力和提供运输能力的对象相关的信息。在本公开的实施例中,竞品运力指的是实施根据本公开的实施例的物流服务提供方案的平台所提供的运力以外的运力。应该理解,物流订单发 出方所在的区域的运力信息可以包括物流订单发出方所在的区域的历史运力信息,也可以包括物流订单发出方所在的区域的实时运力信息,本公开对此不作限制。本领域技术人员可以理解,可以通过相关技术中的手段获取并计算物流订单发出方所在的区域的运力信息,例如,从物流订单发出方的用户画像中获取。本公开对此不再赘述。
在本公开的一个实施例中,获取实时运力信息可以指的是获取物流订单被生成的区域中的实时的运力信息。本领域技术人员可以理解,由于区域中的运力信息可能随时变化,因此,如果要提供物流服务,则需要获取实时运力信息。
在本公开的一个实施例中,步骤S110包括:根据与取消物流订单的行为相关的特征以及实时运力信息获取物流订单发出方取消物流订单的取消画像。
在相关领域中,用户画像又称用户角色,作为一种勾画目标用户、联系用户诉求与设计方向的有效工具,用户画像在各领域得到了广泛的应用。用户画像在互联网领域得到广泛应用,在大数据时代背景下,用户信息充斥在网络中,将用户的每个具体信息抽象成标签,利用这些标签构成用户画像,从而为用户提供有针对性的服务。
在本公开的实施例中,物流订单发出方取消物流订单的取消画像指的是物流订单发出方的用户画像的一个方面,即,利用物流订单发出方的用户画像中所包含的与取消物流订单的行为相关的标签所构成的画像。在本公开的实施例中,物流订单发出方取消物流订单的取消画像所描述的主体是“物流订单发出方取消物流订单的行为”。
根据本公开实施例提供的技术方案,可以通过获取与取消物流订单的行为相关的特征以及实时运力信息,包括:根据与取消物流订单的行为相关的特征以及实时运力信息获取物流订单发出方取消物流订单的取消画像,可以有助于确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
本领域技术人员可以理解,可以通过相关技术中的手段获取物流订单发出方的用户画像以及取消画像,本公开对此不再赘述。
以下参照图2描述根据本公开另一实施方式的物流服务提供方法。
图2示出根据本公开另一实施方式的物流服务提供方法的流程图。图2所示的实施例中的物流服务提供方法与图1所示的实施例中的物流服务提供方法的区别在于还包括以下步骤S210。
在步骤S210中,根据所确定的资源提供方式向接取当前物流订单的物流订单接取方提供资源。
根据本公开实施例提供的技术方案,通过根据所确定的资源提供方式向接取当前物流订单的物流订单接取方提供资源,可以有针对性地激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时 长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
在本公开的一个实施例中,资源提供方式指的是将资源提供给当前物流订单的物流订单接取方的方式。例如,在O2O本地配送的场景下,这种资源提供方式可以指的是向配送员(物流订单接取方)加小费的金额及策略,以激励配送员尽快接取当前物流订单,同时避免商户(物流订单发出方)取消当前订单。
以下参照图3描述根据本公开一实施方式的物流服务提供方法中的步骤S102的一个示例。
图3示出根据本公开一实施方式的物流服务提供方法中的步骤S102的一个示例的流程图。图3所示,步骤S120包括以下步骤S310和S320:
在步骤S310中,基于与取消物流订单的行为相关的特征以及实时运力信息,估计物流订单发出方等待当前物流订单被接取的最大等待时长和当前物流订单被物流订单发出方取消的取消概率。
在步骤S320中,根据物流订单发出方等待当前物流订单被接取的最大等待时长和当前物流订单被物流订单发出方取消的取消概率、以及实时运力信息确定资源提供方式。
根据本公开实施例提供的技术方案,通过根据与取消物流订单的行为相关的特征以及实时运力信息确定资源提供方式,包括:基于与取消物流订单的行为相关的特征以及实时运力信息,估计物流订单发出方等待当前物流订单被接取的最大等待时长和当前物流订单被物流订单发出方取消的取消概率;根据物流订单发出方等待当前物流订单被接取的最大等待时长和当前物流订单被物流订单发出方取消的取消概率、以及实时运力信息确定资源提供方式,可以有助于确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
在本公开的一个实施例中,物流订单发出方等待当前物流订单被接取的最大等待时长是基于与物流订单发出方取消物流订单的行为相关的特征估计出的等待时长,并非指的是物流订单发出方对于当前物流订单的真实最大等待时长。估计出最大等待时长有助于确定向接取当前物流订单的物流订单接取方提供资源的资源提供方式。
在本公开的一个实施例中,在物流订单发出方下物流订单之后,可以根据当前物流订单的具体信息(或称为物流订单的画像)以及当前物流订单被下单的区域的实时运力信息计算当前物流订单的预计等待时长。之后,根据预计等待时长和物流订单发出方的取消物流订单的取消画像,计算物流订单发出方对于当前物流订单的最大等待时长和当前物流订单被物流订单发出方取消的取消概率。
以下参照图4描述根据本公开一实施方式的物流服务提供方法中的步骤S102的一个示例。
图4示出根据本公开一实施方式的物流服务提供方法中的步骤S102的一个示例的流程图。图4所示,步骤S120包括以下步骤S410和S420:
在步骤S410中,基于实时运力信息估计物流订单接取方接取当前物流订单的接单时长和接单概率。
在步骤S420中,根据与取消物流订单的行为相关的特征、以及物流订单接取方接取当前物流订单的接单时长和接单概率确定资源提供方式。
根据本公开实施例提供的技术方案,通过所述根据所述与取消物流订单的行为相关的特征以及所述实时运力信息确定资源提供方式,包括:基于所述实时运力信息估计物流订单接取方接取当前物流订单的接单时长和接单概率;根据所述与取消物流订单的行为相关的特征、以及所述物流订单接取方接取当前物流订单的接单时长和接单概率确定资源提供方式,可以有助于确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
在本公开的一个实施例中,可以通过相关领域中的技术手段基于实时运力信息估计物流订单接取方接取当前物流订单的接单时长和接单概率。
在本公开的一个实施例中,步骤S410包括:基于产生当前物流订单的区域的实时运力信息计算物流订单接取方接取当前物流订单的接单时长和接单概率。
根据本公开实施例提供的技术方案,通过基于实时运力信息估计物流订单接取方接取当前物流订单的接单时长和接单概率,包括:基于产生当前物流订单的区域的实时运力信息计算物流订单接取方接取当前物流订单的接单时长和接单概率,可以有助于确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
以下参照图5来描述根据本公开又一实施方式的物流服务提供方法的流程图。
图5示出根据本公开又一实施方式的物流服务提供方法的流程图。图5所示的实施例中的物流服务提供方法与图1所示的实施例中的物流服务提供方法的区别在于步骤S120包括步骤S510,并且该方法还包括步骤S520和S530。
在步骤S510中,对物流订单发出方等待当前物流订单被接取的最大等待时长和当前物流订单被物流订单发出方取消的取消概率与物流订单接取方接取当前物流订单的接单时长和接单概率进行匹配,以计算针对当前物流订单向接取当前物流订单的物流订单接取方提供资源的时间及资源数量。
根据本公开实施例提供的技术方案,通过根据与取消物流订单的行为相关的特征以及实时运力信息确定资源提供方式,包括:对物流订单发出方等待当前物流订单被接取的最大等待时长和当前物流订单被物流订单发出方取消的取消概率与物流订单接取方接取当前物流订单的接单时长和接单概率进行匹配,以计算 针对当前物流订单向接取当前物流订单的物流订单接取方提供资源的时间及资源数量,可以有助于确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
在本公开中,可以通过各种方式来确定资源提供方式。在本公开的一个实施例中,可以仅参照图3所示的实施方式来确定资源提供方式。在本公开的一个实施例中,可以仅参照图4所示的实施方式来确定资源提供方式。在本公开的一个实施例中,可以将图3所示的实施方式与图4所示的实施方式相结合来确定资源提供方式。
在本公开的一个实施例中,可以对物流订单发出方等待当前物流订单被接取的最大等待时长和当前物流订单被物流订单发出方取消的取消概率与物流订单接取方接取当前物流订单的接单时长和接单概率进行匹配(计算或比较),来确定物流订单接取方对当前订单的接单概率与接单时长是否可以满足物流订单发出方的最大等待时长要求,进而确定资源提供方式以激励物流订单接取方在物流订单发出方的最大等待时长到达之前接取当前物流订单。
在一些情况下,物流订单接取方对当前订单的接单概率与接单时长的变化是相互矛盾的,接单概率较大时,接单时间会较长;接单概率较小时,接单时间会较短。根据本领域的相关技术,可以提供最优的接单概率与接单时长方案,例如,在接单概率最大的情况下确定接单时长,或者在接单概率不小于60%的情况下确定接单时长,等等。
在一些情况下,与物流订单接取方所提供的接单概率与接单时长的变化是相互矛盾的类似,物流订单发出方对当前物流订单的最大等待时长与取消概率的变化也存在相互矛盾的现象。可以理解,物流订单发出方的最大等待时间越长,说明其更愿意对此物流订单花费更多时间,因此取消此当前物流订单的概率也就越小。
在本公开的一个实施例中,资源提供方式可以包括针对当前物流订单向接取当前物流订单的物流订单接取方提供资源的时间及资源数量。
例如,O2O商户在提供物流服务的平台上发单后预期骑手(或配送员)在5分钟内接单,即,估计的最大等待时长为5分钟,但是提供物流服务的平台估计骑手接单概率为80%的情况下接单时长为10分钟。此时,O2O商户可能因为骑手接单时长超过最大等待时长而取消物流订单。在此情况下,可以通过某种资源提供方式向骑手提供资源(例如,小费、积分、好评等),以激励骑手缩短接单时间。例如,在当前物流订单过去1分钟还没有骑手接单时,此时可以为接单骑手提供2元人民币的小费来激励骑手尽快接取当前物流订单。又例如,在当前物流订单过去2分钟还没有骑手接单时,此时可以为接单骑手提供4元人民币的小费以及10个积分来激励骑手尽快接取当前物流订单。O2O商户所在的商圈内的多个骑手(潜在的物流订单接取方)在当前物流订单出现1分钟时接收到增加了 2元小费的通知,可能犹豫是否要接单,但是在当前物流订单出现2分钟时这些骑手接收到增加了4元人民币的小费以及10个积分的通知时,可能会不再犹豫而是立即接取当前物流订单,以获取4元小费和10积分。在此示例中,资源提供方式是在当前物流订单出现后每隔一定时间就提升向物流订单接取方提供的资源,以激励物流订单接取方尽快接取当前物流订单。
在本公开第一个实施例中,在确定资源提供方式时需要使尽量少的资源的激励效果达到尽量高。因此,需要控制提供资源的时间及所提供的资源的上限。而且,可以根据物流订单发出方所处的不同区域(商圈)竞品情况配置不同的资源提供方式(资源提供策略),以保证应用根据本公开实施例的物流服务提供方案的效果。
在本公开的一个实施例中,资源提供方式可以限定向物流订单接取方提供资源的时间点和数量二者之间的关系。在一个实施例中,资源提供方式可以限定向物流订单接取方提供资源的最优时间点和最佳数量。因此,可以确定向接取当前物流订单的物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
在本公开的一个实施例中,图2所示的实施方式中的步骤S210包括:在计算出的时间,按照计算出的资源数量向接取当前物流订单的物流订单接取方提供资源。
根据本公开实施例提供的技术方案,通过根据所确定的资源提供方式向接取当前物流订单的物流订单接取方提供资源,包括:在计算出的时间,按照计算出的资源数量向接取当前物流订单的物流订单接取方提供资源,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
例如,在O2O本地配送的场景下,可以根据资源提供方式计算向接当前物流订单的配送员提供小费的最优时间点和最佳数量,从而在此最优时间点,按照计算出的最佳数额向配送员提供小费以激励配送员尽快接单。
在步骤S520中,向当前物流订单的潜在物流订单接取方通知将要向接取当前物流订单的物流订单接取方提供资源的时间及资源数量。
根据本公开实施例提供的技术方案,通过向当前物流订单的潜在物流订单接取方通知将要向接取当前物流订单的物流订单接取方提供资源的时间及资源数量,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
在步骤S530中,向物流订单发出方通知将要向接取当前物流订单的物流订单接取方提供资源的时间及资源数量。
根据本公开实施例提供的技术方案,通过向物流订单发出方通知将要向接取当前物流订单的物流订单接取方提供资源的时间及资源数量,从而有助于激励物流订单发出方保持或延长最大等待时长,提升接单概率以保障物流服务的进行,进而提高物流订单发出方对物流服务提供平台的客户粘度。
本领域技术人员可以理解,虽然图5中同时示出步骤S520和步骤S530,但是,根据本公开的实施例中的物流服务提供方法可以仅包括步骤S520和步骤S530之一。
在本公开的一个实施例中,步骤S510包括:根据预设的资源管理规则,计算针对当前物流订单向接取当前物流订单的物流订单接取方提供资源的时间及资源数量。
根据本公开实施例提供的技术方案,通过计算针对当前物流订单向接取当前物流订单的物流订单接取方提供资源的时间及资源数量,包括:根据预设的资源管理规则,计算针对当前物流订单向接取当前物流订单的物流订单接取方提供资源的时间及资源数量,可以有助于确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
在本公开的一个实施例中,由于要被提供的资源可能由平台承担,需要使资源的激励效果到达最高,控制提供资源的时间及资源数量,则需要根据不同对情况配置不同的资源管理规则(或资源提供策略),以保障提供资源的效果。
在本公开的一个实施例中,图4所示的步骤S410包括:基于产生当前物流订单的区域的实时运力信息计算物流订单接取方接取所述当前物流订单的接单时长和接单概率。
在根据本公开的实施例中,可以将图1至图5中描述的实施例相结合以实现相应的技术效果。
图6示出根据本公开一实施方式的物流服务提供方法的应用场景的流程示意图。图6示出了商户在提供物流服务的平台呼叫物流服务的场景。
如图6所示,商户在提供物流服务的平台发出当前物流服务订单,呼叫物流服务。此时,商户等待骑手对当前物流服务订单接单。另外,提供物流服务的平台根据该商户取消订单的模型得出该商户对当前物流订单的取消概率以及对等待骑手接单的最大等待时长。另一方面,提供物流服务的平台根据实时运力信息估计出运力对当前物流订单的接单概率和接单时长。接下来,将该商户对当前物流订单的取消概率以及对等待骑手接单的最大等待时长与运力对当前物流订单的接单概率和接单时长进行匹配,以确定向接取当前物流订单的运力提供消费的资源提供方式,即,提供小费的时间点和金额。将所确定的提供小费的时间点和金额通知潜在的接单骑手,刺激潜在的接单骑手接单。在潜在接单骑手中有骑手真正接单后,开始配送。
应该注意,此应用场景中的相关描述仅仅是作为示例来介绍本公开的实施方 式,并不一定包含本公开所要保护的方案的全部内容。
图7示出根据本公开一实施方式的物流服务提供装置的结构框图。
如图7所示,物流服务提供装置700包括获取模块710和确定模块720。
获取模块710被配置为获取与取消物流订单的行为相关的特征以及实时运力信息。
确定模块720被配置为根据与取消物流订单的行为相关的特征以及实时运力信息确定资源提供方式。
根据本公开实施例提供的技术方案,通过获取模块,被配置为获取与取消物流订单的行为相关的特征以及实时运力信息;确定模块,被配置为根据与取消物流订单的行为相关的特征以及实时运力信息确定资源提供方式,可以确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
以下参照图8描述根据本公开另一实施方式的物流服务提供装置。
图8示出根据本公开另一实施方式的物流服务提供装置的结构框图。图8所示的实施例中的物流服务提供装置800与图7所示的实施例中的物流服务提供装置700的区别在于还包括以下提供模块810。
提供模块810被配置为根据所确定的资源提供方式向接取当前物流订单的物流订单接取方提供资源。
根据本公开实施例提供的技术方案,通过提供模块,被配置为根据所确定的资源提供方式向接取当前物流订单的物流订单接取方提供资源,可以有针对性地激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
以下参照图9描述根据本公开一实施方式的物流服务提供装置中的确定模块720的一个示例。
图9示出根据本公开一实施方式的物流服务提供装置中的确定模块720的一个示例的结构框图。图9所示,确定模块720包括以下第一估计子模块910和第一确定子模块920。
第一估计子模块910被配置为基于当前物流订单的信息、与取消物流订单的行为相关的特征以及实时运力信息,估计物流订单发出方等待当前物流订单被接取的最大等待时长和当前物流订单被物流订单发出方取消的取消概率。
第一确定子模块920被配置为根据物流订单发出方等待当前物流订单被接取的最大等待时长和当前物流订单被物流订单发出方取消的取消概率、以及实时运力信息确定资源提供方式。
根据本公开实施例提供的技术方案,通过确定模块包括:第一估计子模块,被配置为基于当前物流订单的信息、与取消物流订单的行为相关的特征以及实时 运力信息,估计物流订单发出方等待当前物流订单被接取的最大等待时长和当前物流订单被物流订单发出方取消的取消概率;第一确定子模块,被配置为根据物流订单发出方等待当前物流订单被接取的最大等待时长和当前物流订单被物流订单发出方取消的取消概率、以及实时运力信息确定资源提供方式,可以有助于确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
以下参照图10描述根据本公开一实施方式的物流服务提供装置中的确定模块720的另一个示例。
图10示出根据本公开一实施方式的物流服务提供装置中的确定模块720的另一个示例的结构框图。图10所示,确定模块720包括以下第二估计子模块1010和第二确定子模块1020。
第二估计子模块1010被配置为基于实时运力信息估计物流订单接取方接取当前物流订单的接单时长和接单概率。
第二确定子模块1020被配置为根据与取消物流订单的行为相关的特征、以及物流订单接取方接取当前物流订单的接单时长和接单概率确定资源提供方式。
根据本公开实施例提供的技术方案,通过确定模块包括:第二估计子模块,被配置为基于实时运力信息估计物流订单接取方接取当前物流订单的接单时长和接单概率;第二确定子模块,被配置为根据与取消物流订单的行为相关的特征、以及物流订单接取方接取当前物流订单的接单时长和接单概率确定资源提供方式,可以有助于确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
在本公开的一个实施例中,根据前述实施例描述的确定模块720还被配置为:对物流订单发出方等待当前物流订单被接取的最大等待时长和当前物流订单被物流订单发出方取消的取消概率与物流订单接取方接取当前物流订单的接单时长和接单概率进行匹配,以计算针对当前物流订单向接取当前物流订单的物流订单接取方提供资源的时间及资源数量。
根据本公开实施例提供的技术方案,通过确定模块,还被配置为:对物流订单发出方等待当前物流订单被接取的最大等待时长和当前物流订单被物流订单发出方取消的取消概率与物流订单接取方接取当前物流订单的接单时长和接单概率进行匹配,以计算针对当前物流订单向接取当前物流订单的物流订单接取方提供资源的时间及资源数量,可以有助于确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客 户粘度。
在本公开的一个实施例中,图2所示的实施方式中的提供模块810还被配置为:在计算出的时间,按照计算出的资源数量向接取当前物流订单的物流订单接取方提供资源。
根据本公开实施例提供的技术方案,通过提供模块,还被配置为:在计算出的时间,按照计算出的资源数量向接取当前物流订单的物流订单接取方提供资源,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
以下参照图11来描述根据本公开又一实施方式的物流服务提供装置的结构框图。
图11示出根据本公开又一实施方式的物流服务提供装置的结构框图。图11所示的实施例中的物流服务提供装置与图7所示的实施例中的物流服务提供装置的区别在于还包括第一通知模块1110和第二通知模块1120。
第一通知模块1110被配置为向当前物流订单的潜在物流订单接取方通知将要向接取当前物流订单的物流订单接取方提供资源的时间及资源数量。
根据本公开实施例提供的技术方案,通过第一通知模块,被配置为向当前物流订单的潜在物流订单接取方通知将要向接取当前物流订单的物流订单接取方提供资源的时间及资源数量,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
第二通知模块1120被配置为向物流订单发出方通知将要向接取当前物流订单的物流订单接取方提供资源的时间及资源数量。
根据本公开实施例提供的技术方案,通过第二通知模块,被配置为向物流订单发出方通知将要向接取当前物流订单的物流订单接取方提供资源的时间及资源数量,从而有助于激励物流订单发出方保持或延长最大等待时长,提升接单概率以保障物流服务的进行,进而提高物流订单发出方对物流服务提供平台的客户粘度。
本领域技术人员可以理解,虽然图11中同时示出第一通知模块1110和第二通知模块1120,但是,根据本公开的实施例中的物流服务提供装置可以仅包括第一通知模块和第二通知模块之一。
在本公开的一个实施方式中,根据前述实施例描述的确定模块720还被配置为:根据预设的资源管理规则,计算针对当前物流订单向接取当前物流订单的物流订单接取方提供资源的时间及资源数量。
根据本公开实施例提供的技术方案,通过确定模块,还被配置为:根据预设的资源管理规则,计算针对当前物流订单向接取当前物流订单的物流订单接取方提供资源的时间及资源数量,可以有助于确定向物流订单接取方提供资源的适当 资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
在本公开的一个实施方式中,根据前述实施例描述的获取模块710还被配置为:根据与取消物流订单的行为相关的特征以及实时运力信息获取物流订单发出方取消物流订单的取消画像。
根据本公开实施例提供的技术方案,通过获取模块,还被配置为:根据与取消物流订单的行为相关的特征以及实时运力信息获取物流订单发出方取消物流订单的取消画像,可以有助于确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
在本公开的一个实施方式中,根据前述实施例描述的第二估计模块1010还被配置为:基于产生当前物流订单的区域的实时运力信息计算物流订单接取方接取当前物流订单的接单时长和接单概率。
根据本公开实施例提供的技术方案,通过第二估计模块,还被配置为:基于产生当前物流订单的区域的实时运力信息计算物流订单接取方接取当前物流订单的接单时长和接单概率,可以有助于确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
在本公开的一个实施方式中,与取消物流订单的行为相关的特征包括物流订单发出方的与取消历史物流订单的行为相关的数据和物流订单发出方发出的物流订单的配送难度数据。
根据本公开实施例提供的技术方案,通过与取消物流订单的行为相关的特征包括物流订单发出方的与取消历史物流订单的行为相关的数据和物流订单发出方发出的物流订单的配送难度数据,可以有助于精确地估计物流订单发出方等待当前物流订单被接取的最大等待时长,确定向接取当前物流订单的物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
在根据本公开的实施例中,可以将图7至图11所示的实施例与图1至图6中描述的实施例相结合以实现参照图1至图6描述的实施例所实现的相应技术效果。
以上描述了物流服务提供装置的内部功能和结构,在一个可能的设计中,该 物流服务提供装置的结构可实现为物流服务提供设备,如图12中所示,该电子设备1200可以包括处理器1201以及存储器1202。
所述存储器1202用于存储支持物流服务提供装置执行上述任一实施例中物流服务提供方法的程序,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执行以实现以下步骤:
获取与取消物流订单的行为相关的特征以及实时运力信息;
根据所述与取消物流订单的行为相关的特征以及所述实时运力信息确定资源提供方式。
根据本公开实施例提供的技术方案,通过获取与取消物流订单的行为相关的特征以及实时运力信息;根据所述与取消物流订单的行为相关的特征以及所述实时运力信息确定资源提供方式,可以确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
在本公开的一个实施例中,所述一条或多条计算机指令还被所述处理器1201执行以实现以下步骤:
根据所确定的资源提供方式向接取当前物流订单的物流订单接取方提供资源。
根据本公开实施例提供的技术方案,通过根据所确定的资源提供方式向接取当前物流订单的物流订单接取方提供资源,可以有针对性地激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
在本公开的一个实施例中,所述根据所述与取消物流订单的行为相关的特征以及所述实时运力信息确定资源提供方式,包括:
基于当前物流订单的信息、所述与取消物流订单的行为相关的特征以及所述实时运力信息,估计物流订单发出方等待所述当前物流订单被接取的最大等待时长和所述当前物流订单被所述物流订单发出方取消的取消概率;
根据物流订单发出方等待当前物流订单被接取的最大等待时长和所述当前物流订单被所述物流订单发出方取消的取消概率、以及所述实时运力信息确定资源提供方式。
根据本公开实施例提供的技术方案,通过所述根据所述与取消物流订单的行为相关的特征以及所述实时运力信息确定资源提供方式,包括:基于当前物流订单的信息、所述与取消物流订单的行为相关的特征以及所述实时运力信息,估计物流订单发出方等待所述当前物流订单被接取的最大等待时长和所述当前物流订单被所述物流订单发出方取消的取消概率;根据物流订单发出方等待当前物流 订单被接取的最大等待时长和所述当前物流订单被所述物流订单发出方取消的取消概率、以及所述实时运力信息确定资源提供方式,可以有助于确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
在本公开的一个实施例中,所述根据所述与取消物流订单的行为相关的特征以及所述实时运力信息确定资源提供方式,包括:
基于所述实时运力信息估计物流订单接取方接取当前物流订单的接单时长和接单概率;
根据所述与取消物流订单的行为相关的特征、以及所述物流订单接取方接取当前物流订单的接单时长和接单概率确定资源提供方式。
根据本公开实施例提供的技术方案,通过所述根据所述与取消物流订单的行为相关的特征以及所述实时运力信息确定资源提供方式,包括:基于所述实时运力信息估计物流订单接取方接取当前物流订单的接单时长和接单概率;根据所述与取消物流订单的行为相关的特征、以及所述物流订单接取方接取当前物流订单的接单时长和接单概率确定资源提供方式,可以有助于确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
在本公开的一个实施例中,所述根据所述与取消物流订单的行为相关的特征以及所述实时运力信息确定资源提供方式,包括:
对物流订单发出方等待当前物流订单被接取的最大等待时长和所述当前物流订单被所述物流订单发出方取消的取消概率与所述物流订单接取方接取所述当前物流订单的接单时长和接单概率进行匹配,以计算针对所述当前物流订单向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量。
根据本公开实施例提供的技术方案,通过所述根据所述与取消物流订单的行为相关的特征以及所述实时运力信息确定资源提供方式,包括:对物流订单发出方等待当前物流订单被接取的最大等待时长和所述当前物流订单被所述物流订单发出方取消的取消概率与所述物流订单接取方接取所述当前物流订单的接单时长和接单概率进行匹配,以计算针对所述当前物流订单向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量,可以有助于确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
在本公开的一个实施例中,所述根据所确定的资源提供方式向接取当前物流 订单的物流订单接取方提供资源,包括:
在计算出的时间,按照计算出的资源数量向接取所述当前物流订单的物流订单接取方提供资源。
根据本公开实施例提供的技术方案,通过所述根据所确定的资源提供方式向接取当前物流订单的物流订单接取方提供资源,包括:在计算出的时间,按照计算出的资源数量向接取所述当前物流订单的物流订单接取方提供资源,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
在本公开的一个实施例中,所述一条或多条计算机指令还被所述处理器1201执行以实现以下步骤:
向所述当前物流订单的潜在物流订单接取方通知将要向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量。
根据本公开实施例提供的技术方案,通过向所述当前物流订单的潜在物流订单接取方通知将要向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
在本公开的一个实施例中,所述一条或多条计算机指令还被所述处理器1201执行以实现以下步骤:
向所述物流订单发出方通知将要向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量。
根据本公开实施例提供的技术方案,通过向所述物流订单发出方通知将要向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量,从而有助于激励物流订单发出方保持或延长最大等待时长,提升接单概率以保障物流服务的进行,进而提高物流订单发出方对物流服务提供平台的客户粘度。
在本公开的一个实施例中,所述计算针对当前物流订单向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量,包括:
根据预设的资源管理规则,计算针对当前物流订单向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量。
根据本公开实施例提供的技术方案,通过所述计算针对当前物流订单向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量,包括:根据预设的资源管理规则,计算针对当前物流订单向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量,可以有助于确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平 台的客户粘度。
在本公开的一个实施例中,所述获取与取消物流订单的行为相关的特征以及实时运力信息,包括:
根据所述与取消物流订单的行为相关的特征以及所述实时运力信息获取所述物流订单发出方取消物流订单的取消画像。
根据本公开实施例提供的技术方案,通过所述获取与取消物流订单的行为相关的特征以及实时运力信息,包括:根据所述与取消物流订单的行为相关的特征以及所述实时运力信息获取所述物流订单发出方取消物流订单的取消画像,可以有助于确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
在本公开的一个实施例中,所述基于所述实时运力信息估计物流订单接取方接取当前物流订单的接单时长和接单概率,包括:
基于产生所述当前物流订单的区域的实时运力信息计算物流订单接取方接取所述当前物流订单的接单时长和接单概率。
根据本公开实施例提供的技术方案,通过所述基于所述实时运力信息估计物流订单接取方接取当前物流订单的接单时长和接单概率,包括:基于产生所述当前物流订单的区域的实时运力信息计算物流订单接取方接取所述当前物流订单的接单时长和接单概率,可以有助于确定向物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
在本公开的一个实施例中,所述与取消物流订单的行为相关的特征包括所述物流订单发出方的与取消历史物流订单的行为相关的数据和所述物流订单发出方发出的物流订单的配送难度数据。
根据本公开实施例提供的技术方案,通过所述与取消物流订单的行为相关的特征包括所述物流订单发出方的与取消历史物流订单的行为相关的数据和所述物流订单发出方发出的物流订单的配送难度数据,可以有助于精确地估计物流订单发出方等待当前物流订单被接取的最大等待时长,确定向接取当前物流订单的物流订单接取方提供资源的适当资源提供方式,从而有助于激励物流订单接取方缩短物流订单的接单时长并且提升接单概率以保障物流服务的进行。缩短接单时长还可以提升订单发出方的服务效率,提升物流服务的效率,并且提高物流订单发出方对物流服务提供平台的客户粘度。
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,所述物流服务提供设备的结构中还可以包括通信接口,用于物流服务提供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,用于储存所述物流服务 提供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物流服务提供方法所涉及的程序,从而具备方法所带来的技术效果。
图13是适于用来实现根据本公开一实施方式的物流服务提供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,从而具备方法所带来的技术效果。
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 (26)
- 一种物流服务提供方法,包括:获取与取消物流订单的行为相关的特征以及实时运力信息;根据所述与取消物流订单的行为相关的特征以及所述实时运力信息确定资源提供方式。
- 根据权利要求1所述的方法,还包括:根据所确定的资源提供方式向接取当前物流订单的物流订单接取方提供资源。
- 根据权利要求1所述的方法,其中,所述根据所述与取消物流订单的行为相关的特征以及所述实时运力信息确定资源提供方式,包括:基于当前物流订单的信息、所述与取消物流订单的行为相关的特征以及所述实时运力信息,估计物流订单发出方等待所述当前物流订单被接取的最大等待时长和所述当前物流订单被所述物流订单发出方取消的取消概率;根据物流订单发出方等待当前物流订单被接取的最大等待时长和所述当前物流订单被所述物流订单发出方取消的取消概率、以及所述实时运力信息确定资源提供方式。
- 根据权利要求1所述的方法,其中,所述根据所述与取消物流订单的行为相关的特征以及所述实时运力信息确定资源提供方式,包括:基于所述实时运力信息估计物流订单接取方接取当前物流订单的接单时长和接单概率;根据所述与取消物流订单的行为相关的特征、以及所述物流订单接取方接取当前物流订单的接单时长和接单概率确定资源提供方式。
- 根据权利要求1至4任一项所述的方法,其中,所述根据所述与取消物流订单的行为相关的特征以及所述实时运力信息确定资源提供方式,包括:对物流订单发出方等待当前物流订单被接取的最大等待时长和所述当前物流订单被所述物流订单发出方取消的取消概率与所述物流订单接取方接取所述当前物流订单的接单时长和接单概率进行匹配,以计算针对所述当前物流订单向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量。
- 根据权利要求5所述的方法,其中,所述根据所确定的资源提供方式向接取当前物流订单的物流订单接取方提供资源,包括:在计算出的时间,按照计算出的资源数量向接取所述当前物流订单的物流订单接取方提供资源。
- 根据权利要求5述的方法,还包括:向所述当前物流订单的潜在物流订单接取方通知将要向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量。
- 根据权利要求5所述的方法,还包括:向所述物流订单发出方通知将要向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量。
- 根据权利要求5所述的方法,其中,所述计算针对当前物流订单向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量,包括:根据预设的资源管理规则,计算针对当前物流订单向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量。
- 根据权利要求1至4任一项所述的方法,其中,所述获取与取消物流订单的行为相关的特征以及实时运力信息,包括:根据所述与取消物流订单的行为相关的特征以及所述实时运力信息获取所述物流订单发出方取消物流订单的取消画像。
- 根据权利要求4所述的方法,其中,所述基于所述实时运力信息估计物流订单接取方接取当前物流订单的接单时长和接单概率,包括:基于产生所述当前物流订单的区域的实时运力信息计算物流订单接取方接取所述当前物流订单的接单时长和接单概率。
- 根据权利要求1至4任一项所述的方法,其中,所述与取消物流订单的行为相关的特征包括所述物流订单发出方的与取消历史物流订单的行为相关的数据和所述物流订单发出方发出的物流订单的配送难度数据。
- 一种物流服务提供装置,包括:获取模块,被配置为获取与取消物流订单的行为相关的特征以及实时运力信息;确定模块,被配置为根据所述与取消物流订单的行为相关的特征以及所述实时运力信息确定资源提供方式。
- 根据权利要求13所述的装置,还包括:提供模块,被配置为根据所确定的资源提供方式向接取当前物流订单的物流订单接取方提供资源。
- 根据权利要求13所述的装置,其中,所述确定模块包括:第一估计子模块,被配置为基于当前物流订单的信息、所述与取消物流订单的行为相关的特征以及所述实时运力信息,估计物流订单发出方等待所述当前物流订单被接取的最大等待时长和所述当前物流订单被所述物流订单发出方取消的取消概率;第一确定子模块,被配置为根据物流订单发出方等待当前物流订单被接取的最大等待时长和所述当前物流订单被所述物流订单发出方取消的取消概率、以及所述实时运力信息确定资源提供方式。
- 根据权利要求13所述的装置,其中,所述确定模块包括:第二估计子模块,被配置为基于所述实时运力信息估计物流订单接取方接取当前物流订单的接单时长和接单概率;第二确定子模块,被配置为根据所述与取消物流订单的行为相关的特征、以及所述物流订单接取方接取当前物流订单的接单时长和接单概率确定资源提供 方式。
- 根据权利要求13至16任一项所述的装置,其中,所述确定模块还被配置为:对物流订单发出方等待当前物流订单被接取的最大等待时长和所述当前物流订单被所述物流订单发出方取消的取消概率与所述物流订单接取方接取所述当前物流订单的接单时长和接单概率进行匹配,以计算针对所述当前物流订单向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量。
- 根据权利要求17所述的装置,其中,所述提供模块还被配置为:在计算出的时间,按照计算出的资源数量向接取所述当前物流订单的物流订单接取方提供资源。
- 根据权利要求17所述的装置,还包括:第一通知模块,被配置为向所述当前物流订单的潜在物流订单接取方通知将要向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量。
- 根据权利要求17所述的装置,还包括:第二通知模块,被配置为向所述物流订单发出方通知将要向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量。
- 根据权利要求17所述的装置,其中,所述确定模块还被配置为:根据预设的资源管理规则,计算针对当前物流订单向接取所述当前物流订单的物流订单接取方提供资源的时间及资源数量。
- 根据权利要求13至16任一项所述的装置,其中,所述获取模块还被配置为:根据所述与取消物流订单的行为相关的特征以及所述实时运力信息获取所述物流订单发出方取消物流订单的取消画像。
- 根据权利要求16所述的装置,其中,所述第二估计模块还被配置为:基于产生所述当前物流订单的区域的实时运力信息计算物流订单接取方接取所述当前物流订单的接单时长和接单概率。
- 根据权利要求13至16任一项所述的装置,其中,所述与取消物流订单的行为相关的特征包括所述物流订单发出方的与取消历史物流订单的行为相关的数据和所述物流订单发出方发出的物流订单的配送难度数据。
- 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至12任一项所述的方法。
- 一种可读存储介质,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至12任一项所述的方法。
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CN107451878A (zh) * | 2017-06-01 | 2017-12-08 | 北京小度信息科技有限公司 | 订单处理方法及装置 |
CN109426896A (zh) * | 2017-08-23 | 2019-03-05 | 北京三快在线科技有限公司 | 一种确定区域运力状态的方法及装置、电子设备 |
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CN107451878A (zh) * | 2017-06-01 | 2017-12-08 | 北京小度信息科技有限公司 | 订单处理方法及装置 |
CN109426896A (zh) * | 2017-08-23 | 2019-03-05 | 北京三快在线科技有限公司 | 一种确定区域运力状态的方法及装置、电子设备 |
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