CN107451763B - Logistics crowdsourcing distribution order screening method and device - Google Patents
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Abstract
The invention provides a method and a device for screening logistics crowdsourcing distribution orders, wherein the method comprises the following steps: acquiring order information of an order to be distributed and the order quantity of the order to be distributed; selecting orders and order quantity which can be crowdedly distributed from the orders to be distributed according to the initial selection condition; calculating the sensitivity of the client to the delivery service quality according to the crowdsourcing delivery order; calculating the service quality of each crowdsourcing person according to the information of all crowdsourcing persons; calculating the maximum delivery capacity of crowdsourcing personnel according to the service quality of the online crowdsourcing personnel; calculating self-operation distribution capacity of distribution personnel according to the information of the distribution personnel on duty; and calculating order increment according to the order quantity and self-operation distribution capacity, and distributing according to a matched distribution mode. The method and the system can automatically screen the optimal order conforming to crowdsourcing distribution from the service system and distribute the optimal order to crowdsourcing for distribution, and the mode can ensure that the user experience is not reduced, reduce customer complaints and ensure the pleasant shopping experience of customers.
Description
Technical Field
The invention relates to the field of logistics distribution and computer software, in particular to a method and a device for screening logistics crowdsourcing distribution orders.
Background
The employees of the Jingdong logistics distribution are all Jingdong employees, the controllability is high, the professional degree is high, and therefore the provided distribution service is relatively high in quality; the employees crowd-sourced for distribution are social labor force, not the employees in the Jingdong, and the controllability and the professional degree are relatively low on average, so the distribution service quality is lower than that of the Jingdong logistics distribution. When the Jingdong city carries out promotion, the single amount can be suddenly increased, for example, when a store promotion event is met, the daily average delivery single amount can be 2 times or even 3 times of the daily average delivery single amount, but the Jingdong delivery personnel are prepared according to the daily single amount, so that when the trade company carries out the promotion event, the last kilometer delivery problem of orders exceeding the Jingdong logistics delivery capacity needs to be solved through a crowdsourcing delivery mode. In addition, to maintain the liveness of crowdsourcing distributors, the kyoto distribution department may place a portion of orders for crowdsourcing distribution each day.
Because the logistics distribution mode belongs to emerging services, currently, only by making relatively simple judgment and screening, for example, judging that the amount of an order distributed to crowdsourcing distribution cannot exceed a certain amount (the risk of a high-value order is relatively high), the order is completed by online payment, and the like, and then distributing the order meeting the conditions to crowdsourcing logistics.
However, the logistics distribution method has the disadvantage that the rule for picking the crowd-sourced logistics orders is simple, so that the picked orders are not necessarily optimal, and therefore the customer experience of people who are sensitive to the distribution service quality is possibly influenced.
Disclosure of Invention
In view of the above circumstances, the present invention provides a method and an apparatus for screening logistics crowdsourcing distribution orders, so as to pick a suitable order from a large number of orders for crowdsourcing distribution and ensure a pleasant shopping experience for a customer to the maximum extent.
The technical scheme of the invention is to provide a method and a device for screening logistics crowdsourcing distribution orders, wherein the method comprises the following steps: obtaining order information of an order to be delivered and the quantity of the order to be delivered; selecting crowdsourcing distribution orders from the orders to be distributed according to the initial selection condition, and acquiring the quantity of the crowdsourcing distribution orders; calculating the sensitivity of the client to the delivery service quality according to the crowdsourcing delivery order; calculating the service quality of each crowdsourcing person according to the information of all crowdsourcing persons; calculating the maximum distribution capacity of the online crowdsourcing personnel according to the service quality of the online crowdsourcing personnel; calculating self-operation distribution capability of self-operation distribution personnel on duty according to the self-operation distribution personnel information on duty; calculating order increment according to the number of the orders to be distributed and the self-operation distribution capacity, wherein the order increment is the difference value of the number of the orders to be distributed and the self-operation distribution capacity; combining the order increment, the maximum delivery capacity and the quantity of the crowdsourcing delivery orders to select crowdsourcing delivery orders, wherein if the order increment is less than 0, all the orders to be delivered are delivered according to a self-operation delivery mode; if the order increment is more than or equal to 0, taking the minimum value of the order increment, the maximum delivery capacity and the crowdsourcing delivery order quantity, wherein if the minimum value is equal to the crowdsourcing delivery order quantitySending the quantity of the orders, and then distributing all the orders capable of being crowdsourced for distribution according to a crowdsourcing distribution mode; if the minimum value is less than the quantity of the crowdsourcing delivery orders, sorting the crowdsourcing delivery orders in a descending order according to the sensitivity of customers to the delivery service quality, and selecting the crowdsourcing delivery orders which are sorted in the top and have the quantity of the minimum value to deliver according to a crowdsourcing delivery mode; calculating the maximum delivery capacity of the crowd-sourcing personnel on-line includes: acquiring online crowdsourcing personnel information, and calculating the service quality of each crowdsourcing personnel; if the service quality is larger than or equal to a fifth threshold value, selecting the number of crowdsourcing personnel capable of crowdsourcing distribution, and calculating the maximum distribution capacity of the crowdsourcing personnel by using a first formula, wherein the first formula is as follows: sc＝BmaxA, wherein ScFor maximum delivery capacity of crowdsourcing personnel, A is the number of crowdsourcing personnel capable of crowdsourcing delivery, BmaxMaximum delivery capacity for individual crowdsourcing personnel; calculating the self-operation distribution capacity of self-operation distribution personnel who are on duty comprises the following steps: acquiring self-operation distribution personnel information of attendance, calculating the daily average distribution list amount of the self-operation distribution personnel in a preset time period, and calculating the self-operation distribution capacity of the self-operation distribution personnel according to a second formula, wherein the second formula is as follows:
wherein S isjdThe method comprises the steps that self-operation distribution capacity of self-operation distribution personnel is achieved, Q is a distribution capacity elastic coefficient of the self-operation distribution personnel, and Pn is a daily average distribution unit amount of the self-operation distribution personnel in a preset time period.
Optionally, the preliminary selection condition at least includes: the payment mode of the order to be delivered is online payment, the commodity value does not exceed the first threshold value, the delivery point to which the order belongs opens the crowdsourcing logistics service, and the wrapping volume of the order is smaller than the second threshold value.
Optionally, calculating customer sensitivity to delivery quality of service comprises: calculating the order rejection rate of the client, wherein the order rejection rate of the client is the ratio of the rejected order quantity to the historical order quantity of the client; calculating the self-operation distribution dissatisfaction rate of the customers, wherein the self-operation distribution dissatisfaction rate of the customers is the ratio of the order quantity with the self-operation distribution satisfaction degree score smaller than or equal to a third threshold value to the historical order quantity of the self-operation distribution of the customers; calculating the dissatisfaction rate of the crowdsourcing distribution of the customers, wherein the dissatisfaction rate of the crowdsourcing distribution of the customers is the ratio of the order quantity of which the crowdsourcing distribution satisfaction score is smaller than or equal to a fourth threshold value to the historical order quantity of the crowdsourcing distribution of the customers; calculating dissatisfaction rates difference of the customers, wherein the dissatisfaction rate difference of the customers is the ratio of the crowd-sourced distribution dissatisfaction rate of the customers to the self-owned distribution dissatisfaction rate of the customers; scoring the difference value of the order rejection rate and the dissatisfaction rate of the customer to respectively obtain an order rejection rate score and a dissatisfaction rate score; and calculating the sensitivity of the customer to the delivery service quality, wherein the sensitivity of the customer to the delivery service quality is the sum of the order rejection rate score and the dissatisfaction rate score.
Optionally, the service quality of each crowdsourcing person is a ratio of a sum of historical delivery satisfaction scores of each crowdsourcing person to a historical order sum of each crowdsourcing person.
The invention also provides a logistics crowdsourcing distribution order screening device, which comprises: the order data receiving module is used for acquiring order information of the orders to be delivered and the quantity of the orders to be delivered; the order screening module is used for selecting crowdsourcing distribution orders from the orders to be distributed according to the primary selection conditions and acquiring the quantity of the crowdsourcing distribution orders; the first evaluation module is used for calculating the sensitivity of the customer to the delivery service quality according to the crowdsourcing delivery order; the second evaluation module is used for calculating the service quality of each crowdsourcing person according to the information of all crowdsourcing persons; the crowdsourcing distribution capacity calculation module is used for calculating the maximum distribution capacity of the online crowdsourcing personnel according to the service quality of the online crowdsourcing personnel; the self-operation distribution capacity calculation module is used for calculating the self-operation distribution capacity of the self-operation distribution personnel on duty according to the information of the self-operation distribution personnel on duty; the crowd-sourced distribution order output module is used for calculating order increment according to the quantity of the orders to be distributed and the self-owned distribution capacity, wherein the order increment is the difference value between the quantity of the orders to be distributed and the self-owned distribution capacity; a crowdsourcing delivery order screening module for combining the order increment, the maximum delivery capacity and the crowdsourcingDistributing the number of orders, and selecting the orders which can be crowdedly distributed, wherein if the order increment is less than 0, all the orders to be distributed are distributed according to a self-operation distribution mode; if the order increment is larger than or equal to 0, taking the minimum value of the order increment, the maximum delivery capacity and the crowdsourcing delivery order quantity, wherein if the minimum value is equal to the crowdsourcing delivery order quantity, all the crowdsourcing delivery orders are delivered in a crowdsourcing delivery mode; if the minimum value is less than the quantity of the crowdsourcing delivery orders, sorting the crowdsourcing delivery orders in a descending order according to the sensitivity of customers to the delivery service quality, and selecting the crowdsourcing delivery orders which are sorted in the top and have the quantity of the minimum value to deliver according to a crowdsourcing delivery mode; the crowdsourcing distribution capability calculation module is further to: acquiring online crowdsourcing personnel information, and calculating the service quality of each crowdsourcing personnel; if the service quality is larger than or equal to a fifth threshold value, selecting the number of crowdsourcing personnel capable of crowdsourcing distribution, and calculating the maximum distribution capacity of the crowdsourcing personnel by using a first formula, wherein the first formula is as follows: sc＝BmaxA, wherein ScFor maximum delivery capacity of crowdsourcing personnel, A is the number of crowdsourcing personnel capable of crowdsourcing delivery, BmaxMaximum delivery capacity for individual crowdsourcing personnel; the self-operation distribution capacity calculation module is also used for: acquiring self-operation distribution personnel information of attendance, calculating the daily average distribution list amount of the self-operation distribution personnel in a preset time period, and calculating the self-operation distribution capacity of the self-operation distribution personnel according to a second formula, wherein the second formula is as follows:
wherein S isjdThe method comprises the steps that self-operation distribution capacity of self-operation distribution personnel is achieved, Q is a distribution capacity elastic coefficient of the self-operation distribution personnel, and Pn is a daily average distribution unit amount of the self-operation distribution personnel in a preset time period.
Optionally, the preliminary selection condition at least includes: the payment mode of the order to be delivered is online payment, the commodity value does not exceed the first threshold value, the delivery point to which the order belongs opens the crowdsourcing logistics service, and the wrapping volume of the order is smaller than the second threshold value.
Optionally, the customer sensitivity assessment module is further configured to: calculating the order rejection rate of the client, wherein the order rejection rate of the client is the ratio of the rejected order quantity to the historical order quantity of the client; calculating the self-operation distribution dissatisfaction rate of the customers, wherein the self-operation distribution dissatisfaction rate of the customers is the ratio of the order quantity with the self-operation distribution satisfaction degree score smaller than or equal to a third threshold value to the historical order quantity of the self-operation distribution of the customers; calculating the dissatisfaction rate of the crowdsourcing distribution of the customers, wherein the dissatisfaction rate of the crowdsourcing distribution of the customers is the ratio of the order quantity of which the crowdsourcing distribution satisfaction score is smaller than or equal to a fourth threshold value to the historical order quantity of the crowdsourcing distribution of the customers; calculating dissatisfaction rates difference of the customers, wherein the dissatisfaction rate difference of the customers is the ratio of the crowd-sourced distribution dissatisfaction rate of the customers to the self-owned distribution dissatisfaction rate of the customers; scoring the difference value of the order rejection rate and the dissatisfaction rate of the customer to respectively obtain an order rejection rate score and a dissatisfaction rate score; and calculating the sensitivity of the customer to the delivery service quality, wherein the sensitivity of the customer to the delivery service quality is the sum of the order rejection rate score and the dissatisfaction rate score.
Optionally, the service quality of each crowdsourcing person is a ratio of a sum of historical delivery satisfaction scores of each crowdsourcing person to a historical order sum of each crowdsourcing person.
The invention also provides a terminal device for screening the logistics crowdsourcing distribution order, which comprises the following components: a memory for storing executable instructions and a processor for executing the instructions, wherein the processor is configured to: acquiring order information of the orders to be delivered and the quantity of the orders to be delivered; selecting crowdsourcing distribution orders from the orders to be distributed according to the initial selection condition, and acquiring the quantity of the crowdsourcing distribution orders; calculating the sensitivity of the client to the delivery service quality according to the crowdsourcing delivery order; calculating the service quality of each crowdsourcing person according to the information of all crowdsourcing persons; calculating the maximum distribution capacity of the online crowdsourcing personnel according to the service quality of the online crowdsourcing personnel; calculating self-operation distribution capability of self-operation distribution personnel on duty according to the self-operation distribution personnel information on duty; calculating orders according to the number of orders to be distributed and self-operation distribution capacityThe order increment is the difference value between the number of the orders to be delivered and the self-operation delivery capacity; selecting crowdsourcing delivery orders according to the order increment, the maximum delivery capacity and the crowdsourcing delivery order quantity, wherein if the order increment is smaller than 0, all orders to be delivered are delivered according to a self-operation delivery mode; if the order increment is more than or equal to 0, taking the minimum value of the order increment, the maximum delivery capacity and the crowdsourcing delivery order quantity, wherein if the minimum value is equal to the crowdsourcing delivery order quantity, all the crowdsourcing delivery orders are delivered in a crowdsourcing delivery mode; if the minimum value is smaller than the quantity of the crowdsourcing distribution orders, sorting the crowdsourcing distribution orders in a descending order according to the sensitivity of customers to the distribution service quality, and selecting the crowdsourcing distribution orders with the minimum quantity to distribute in a crowdsourcing distribution mode; calculating the maximum delivery capacity of the crowd-sourcing personnel on-line includes: acquiring online crowdsourcing personnel information, and calculating the service quality of each crowdsourcing personnel; if the service quality is larger than or equal to a fifth threshold value, selecting the number of crowdsourcing personnel capable of crowdsourcing distribution, and calculating the maximum distribution capacity of the crowdsourcing personnel by using a first formula, wherein the first formula is as follows: sc＝BmaxA, wherein ScFor maximum delivery capacity of crowdsourcing personnel, A is the number of crowdsourcing personnel capable of crowdsourcing delivery, BmaxMaximum delivery capacity for individual crowdsourcing personnel; calculating the self-operation distribution capacity of self-operation distribution personnel who are on duty comprises the following steps: acquiring self-operation distribution personnel information of attendance, calculating the daily average distribution list amount of the self-operation distribution personnel in a preset time period, and calculating the self-operation distribution capacity of the self-operation distribution personnel according to a second formula, wherein the second formula is as follows:
wherein S isjdThe method comprises the steps that self-operation distribution capacity of self-operation distribution personnel is achieved, Q is a distribution capacity elastic coefficient of the self-operation distribution personnel, and Pn is a daily average distribution unit amount of the self-operation distribution personnel in a preset time period.
To achieve the above object, according to still another aspect of the embodiments of the present invention, an electronic device for logistics crowd-sourced delivery order screening is provided.
The electronic device of the embodiment of the invention comprises: one or more processors; a storage device, configured to store one or more programs, which when executed by the one or more processors, cause the one or more processors to implement any of the above methods for logistics crowd-sourced delivery order screening.
To achieve the above object, according to a further aspect of the embodiments of the present invention, there is provided a computer readable medium having a computer program stored thereon, wherein the computer program is configured to, when executed by a processor, implement any of the above methods for filtering logistics crowdsourcing distribution orders.
According to the method and the device for screening the logistics crowdsourcing delivery orders, the factors such as the current logistics delivery capacity and the sensitivity of customers to the delivery service quality are predicted according to the delivery capacity of current logistics delivery personnel and historical data of the customers, the optimal orders which accord with crowdsourcing delivery are automatically screened from a business system and distributed to crowdsourcing for delivery, and the mode can ensure that the user experience is not reduced to the maximum extent, reduce customer complaints caused by logistics delivery delay and ensure the pleasant shopping experience of the customers integrally.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts. In the drawings:
FIG. 1 is a flow chart of a method for filtering logistics crowd-sourced delivery orders according to the present invention;
FIG. 2 is a structural diagram of a logistics crowdsourcing distribution order screening device provided by the invention
Fig. 3 is a structural diagram of a terminal device of the method for screening logistics crowdsourcing distribution orders according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
As will be appreciated by one skilled in the art, embodiments of the present invention may be embodied as a system, apparatus, device, method, or computer program product. Accordingly, the present disclosure may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.
As shown in fig. 1, a flow chart of a method for screening logistics crowdsourcing distribution orders provided by the present invention includes:
step S101: acquiring order information of the orders to be delivered and the quantity of the orders to be delivered;
step S102: selecting crowdsourcing distribution orders from the orders to be distributed according to the initial selection condition, and acquiring the quantity of the crowdsourcing distribution orders;
step S103: calculating the sensitivity of the customer to the delivery service quality according to the crowdsourcing delivery orders;
step S104: calculating the service quality of each crowdsourcing person according to the information of all crowdsourcing persons;
step S105: calculating the maximum distribution capacity of the online crowdsourcing personnel according to the service quality of the online crowdsourcing personnel;
step S106: calculating self-operation distribution capability of self-operation distribution personnel on duty according to the self-operation distribution personnel information on duty;
step S107: calculating order increment according to the number of the orders to be distributed and the self-operation distribution capacity, wherein the order increment is the difference value of the number of the orders to be distributed and the self-operation distribution capacity;
if the order increment is less than 0, all orders to be delivered are delivered according to a self-operation delivery mode;
if the order increment is greater than or equal to 0, taking the minimum value of the order increment, the maximum delivery capacity and the quantity of crowdsourcing orders, wherein,
if the minimum value is equal to the quantity of the crowdsourcing orders, distributing all the crowdsourcing orders according to a crowdsourcing distribution mode;
and if the minimum value is less than the quantity of the crowdsourcing orders, sorting the crowdsourcing orders in a descending order according to the sensitivity of the customer to the quality of the delivery service, and selecting the crowdsourcing order with the top quantity being the minimum value to deliver according to a crowdsourcing delivery mode.
Optionally, the preliminary selection condition at least includes: the payment mode of the order to be delivered is online payment, the commodity value does not exceed the first threshold value, the delivery point to which the order belongs opens the crowdsourcing logistics service, and the wrapping volume of the order is smaller than the second threshold value.
Optionally, calculating customer sensitivity to delivery quality of service comprises: calculating the order rejection rate of the client, wherein the order rejection rate of the client is the ratio of the rejected order quantity to the historical order quantity of the client; calculating the self-operation distribution dissatisfaction rate of the customers, wherein the self-operation distribution dissatisfaction rate of the customers is the ratio of the order quantity with the self-operation distribution satisfaction degree score smaller than or equal to a third threshold value to the historical order quantity of the self-operation distribution of the customers; calculating the dissatisfaction rate of the crowdsourcing distribution of the customers, wherein the dissatisfaction rate of the crowdsourcing distribution of the customers is the ratio of the order quantity of which the crowdsourcing distribution satisfaction score is smaller than or equal to a fourth threshold value to the historical order quantity of the crowdsourcing distribution of the customers; calculating dissatisfaction rates difference of the customers, wherein the dissatisfaction rate difference of the customers is the ratio of the crowd-sourced distribution dissatisfaction rate of the customers to the self-owned distribution dissatisfaction rate of the customers; scoring the difference value of the order rejection rate and the dissatisfaction rate of the customer to respectively obtain an order rejection rate score and a dissatisfaction rate score; and calculating the sensitivity of the customer to the delivery service quality, wherein the sensitivity of the customer to the delivery service quality is the sum of the order rejection rate score and the dissatisfaction rate score.
Optionally, the service quality of each crowdsourcing person is a ratio of a sum of historical delivery satisfaction scores of each crowdsourcing person to a historical order sum of each crowdsourcing person.
Optionally, calculating the maximum delivery capacity of the crowd-sourcing personnel on-line comprises: acquiring online crowdsourcing personnel information, and calculating the service quality of each crowdsourcing personnel; if the service quality is larger than or equal to a fifth threshold value, selecting the quantity of crowdsourcing personnel capable of crowdsourcing distribution, and calculating the maximum distribution capacity of the crowdsourcing personnel by using a first formula, wherein the first formula is as follows:
Sc＝Bmax*A，
wherein S iscFor maximum delivery capacity of crowdsourcing personnel, A is the number of crowdsourcing personnel capable of crowdsourcing delivery, BmaxMaximum delivery capacity for a single crowd-sourced person.
Optionally, calculating the self-service delivery capacity of the self-service delivery personnel who are on duty comprises: acquiring information of self-operation distribution personnel who attendance, calculating the daily average distribution list amount of the self-operation distribution personnel in a preset time period, and calculating the self-operation distribution capacity of the self-operation distribution personnel according to a second formula, wherein the second formula is as follows:
wherein S isjdThe method comprises the steps that self-operation distribution capacity of self-operation distribution personnel is achieved, Q is a distribution capacity elastic coefficient of the self-operation distribution personnel, and Pn is a daily average distribution unit amount of the self-operation distribution personnel in a preset time period.
The present invention will be described in detail with reference to a specific embodiment, but it should be noted that the specific embodiment is only for better describing the present invention and should not be construed as limiting the present invention.
When a merchant promotes, the order quantity inevitably increases suddenly in a short time, so that the self-operated logistics distribution capacity of the merchant is obviously not satisfied, at the moment, the orders beyond the self-operated logistics distribution capacity range need to be distributed timely by crowd-sourced logistics distribution, and the shopping experience of customers can be met to the maximum extent.
S101, acquiring all relevant information of the orders to be delivered, wherein the relevant information comprises detailed information of the orders and the order quantity S1 of the orders to be delivered;
s102, selecting an order which can be crowdedly distributed from orders to be distributed according to a preset initial selection condition;
specifically, the initial selection condition includes the following contents:
(1) the payment mode of the order to be distributed is online payment;
(2) the commodity value of the order does not exceed the threshold value 1 (for example, 500 yuan or 300 yuan, and the specific amount is set according to the specific service);
(3) the distribution point to which the order belongs opens the crowdsourcing logistics service;
(4) the parcel volume of the order is less than threshold 2;
according to the initial selection conditions, orders with the quantity S2 can be obtained from the orders to be distributed, and a crowdsourcing initial screening order list is generated.
Step S103, obtaining an account number placed by a customer and historical order information related to the account number according to the crowdsourcing initial screening order list, wherein the historical order information comprises the historical order number and distribution satisfaction evaluation (the score is 1-5 points) of each historical order, distribution types (self-operation distribution and crowdsourcing distribution) and order states (order sign-in and order rejection).
The following four indexes are calculated according to the historical information:
(1) the order rejection rate C of the customer is the amount of orders rejected by the customer/the total amount of historical orders of the customer;
and grading the order rejection rate by setting a piecewise function of the order rejection rate C to obtain an order rejection rate grade G, wherein the grading range is any integer between 1 and 10.
For example, the rejection rate is set as: the specific segmentation range of 0% -0.5% for 10 minutes and 0.5% -1.0% for 9 minutes … is adjusted according to the service.
(2) The customer's self-service delivery dissatisfaction rate D is the amount of orders/the historical total amount of orders of the customer's self-service delivery with a self-service delivery satisfaction score of less than or equal to a threshold value of 3 (e.g., 3 points).
(3) The customer crowdsourcing delivery dissatisfaction rate E is the amount of orders with a customer crowdsourcing delivery satisfaction score of less than or equal to a threshold of 4 (e.g., 3 points)/the historical total amount of orders for crowdsourcing delivery of the customer.
(4) The dissatisfaction rate difference F of the customers is the crowd-sourced distribution dissatisfaction rate E of the customers-the self-owned distribution dissatisfaction rate D of the customers.
That is, if the dissatisfaction difference F is positive, then the customer is more sensitive to the quality of the delivery service and the score is lower.
And similarly, the dissatisfaction rate difference F is scored by setting a piecewise function, and the range is 1-10 points. For example, the dissatisfaction rate difference F is set to be 0 when being greater than 5%, and 1 when being 4% -5%, the specific segmentation range is adjusted according to the service, and the obtained score is the dissatisfaction rate score H.
(5) Calculating the sensitivity I of the customer to the delivery service quality, wherein the sensitivity I of the customer to the delivery service quality is the order rejection rate score G + dissatisfaction rate score H,
that is, if the score of the customer sensitivity to delivery quality of service I is higher, it is known that the customer is more sensitive to the delivery quality of service.
Step S104: and calculating the service quality B of each crowdsourcing person as the ratio of the sum of the historical distribution satisfaction degree scores of each crowdsourcing person to the historical order total amount of each crowdsourcing person according to the historical data.
Specifically, historical delivery information of each crowdsourcing person is obtained according to accounts of all crowdsourcing persons in the business system, and the historical delivery information comprises: and evaluating the delivery satisfaction of the delivered order number and the delivered order by the customer, wherein the evaluation value is 1-5 points.
The service quality B of each crowdsourcing person is the sum of historical delivery satisfaction scores of each crowdsourcing person/the historical order total of each crowdsourcing person.
Step S105: calculating the maximum delivery capacity S of the online crowdsourcing personnel according to the service quality B of the online crowdsourcing personnelc。
Specifically, obtaining on-line crowdsourcing personnel information, and calculating the service quality X of each crowdsourcing personnel;
if X ≧ threshold 5 is satisfied, the crowdsourcing person is considered to be able to crowd-source the delivery.
According to the above conditions, the crowd-sourcing personnel number A is obtained from the online crowd-sourcing personnel, and then the maximum distribution capacity of the crowd-sourcing personnel can be calculated to be Sc，
Wherein Sc＝BmaxA, and BmaxMaximum delivery capacity B for individual crowdsourcingmaxAnd (3) singly.
Step S106: calculating self-operation distribution capability S of self-operation distribution personnel on duty according to self-operation distribution personnel information on dutyjd；
Specifically, information of self-operation distribution personnel who are on duty is obtained, daily average distribution list quantity Pn of the self-operation distribution personnel in a preset time period is calculated, and self-operation distribution capacity S of the self-operation distribution personnel is calculatedjd，
Wherein
Q is the distribution capacity elastic coefficient of self-operation distribution personnel.
Step S107: according to the order quantity S1And self-operation distribution capacity SjdCalculating the order increment SzWherein Sz ═ S1-Sjd；
Step S108: selecting a crowdsourcing order based on the order increment, the maximum delivery capacity, and the crowdsourcing order quantity, wherein,
if S iszIf the number is less than 0, the orders to be distributed are all distributed according to a self-operation distribution mode;
if Sz is greater than or equal to 0, then S is takenz、Sc、S2The minimum value of the three is set as Smin，
Wherein if Smin≥S2Then, all the crowdsourcing distributable orders are distributed according to a crowdsourcing distribution mode;
if S ismin＜S2Will have the best resultsThe orders of package delivery are sorted in descending order according to the sensitivity of the customer to the delivery service quality and the top S is selectedminThe orders which can be crowd-sourced distributed are distributed according to a crowd-sourced distribution mode.
As shown in fig. 2, a logistics crowdsourcing distribution order screening apparatus 2 is further provided for the present invention, the apparatus 2 includes:
the order data receiving module 21 is configured to obtain order information of the order to be delivered and the quantity of the order to be delivered;
the order primary selection module 22 is configured to select an order capable of being crowd-sourced delivered from the orders to be delivered according to the primary selection condition, and obtain the quantity of the crowd-sourced delivery orders;
a customer sensitivity evaluation module 23, configured to calculate a sensitivity of the customer to the delivery service quality according to the crowdsourcing deliverable order;
the crowdsourcing service quality evaluation module 24 is used for calculating the service quality of each crowdsourcing person according to the information of all crowdsourcing persons;
a crowdsourcing distribution capability calculation module 25, configured to calculate a maximum distribution capability of online crowdsourcing personnel according to a service quality of the online crowdsourcing personnel;
a self-operation distribution capability calculation module 26, configured to calculate self-operation distribution capability of self-operation distribution staff on duty according to information of self-operation distribution staff on duty;
an order increment calculation module 27, configured to calculate an order increment according to the number of the orders to be delivered and the self-operating delivery capacity, where the order increment is a difference between the number of the orders to be delivered and the self-operating delivery capacity;
a crowd-sourced delivery order screening module 28 for selecting crowdsourced delivery orders in combination with the order increment, the maximum delivery capacity, and the crowdsourced delivery order quantity, wherein,
if the order increment is less than 0, all the orders to be distributed are distributed according to a self-operation distribution mode;
if the order increment is more than or equal to 0, taking the minimum value of the order increment, the maximum delivery capacity and the crowdsourcing delivery order quantity, wherein,
if the minimum value is equal to the quantity of the crowdsourcing distribution orders, distributing all the crowdsourcing distribution orders in a crowdsourcing distribution mode;
and if the minimum value is less than the quantity of the crowdsourcing orders, sorting the crowdsourcing orders in a descending order according to the sensitivity of the customer to the delivery service quality, and selecting the crowdsourcing order with the minimum value as the top quantity to deliver according to a crowdsourcing delivery mode.
Optionally, the preliminary selection condition at least includes: the payment mode of the order to be delivered is online payment, the commodity value does not exceed the first threshold value, the delivery point to which the order belongs opens the crowdsourcing logistics service, and the wrapping volume of the order is smaller than the second threshold value.
Optionally, the customer sensitivity evaluation module 23 is further configured to: calculating the order rejection rate of the client, wherein the order rejection rate of the client is the ratio of the rejected order quantity to the historical order quantity of the client; calculating the self-operation distribution dissatisfaction rate of the customers, wherein the self-operation distribution dissatisfaction rate of the customers is the ratio of the order quantity with the self-operation distribution satisfaction degree score smaller than or equal to a third threshold value to the historical order quantity of the self-operation distribution of the customers; calculating the dissatisfaction rate of the crowdsourcing distribution of the customers, wherein the dissatisfaction rate of the crowdsourcing distribution of the customers is the ratio of the order quantity of which the crowdsourcing distribution satisfaction score is smaller than or equal to a fourth threshold value to the historical order quantity of the crowdsourcing distribution of the customers; calculating dissatisfaction rates difference of the customers, wherein the dissatisfaction rate difference of the customers is the ratio of the crowd-sourced distribution dissatisfaction rate of the customers to the self-owned distribution dissatisfaction rate of the customers; scoring the difference value of the order rejection rate and the dissatisfaction rate of the customer to respectively obtain an order rejection rate score and a dissatisfaction rate score; and calculating the sensitivity of the customer to the delivery service quality, wherein the sensitivity of the customer to the delivery service quality is the sum of the order rejection rate score and the dissatisfaction rate score.
Optionally, the service quality of each crowdsourcing person is a ratio of a sum of historical delivery satisfaction scores of each crowdsourcing person to a historical order sum of each crowdsourcing person.
Optionally, the crowdsourcing distribution capability calculating module 25 is further configured to: acquiring online crowdsourcing personnel information, and calculating the service quality of each crowdsourcing personnel; if the service quality is larger than or equal to a fifth threshold value, selecting the quantity of crowdsourcing personnel capable of crowdsourcing distribution, and calculating the maximum distribution capacity of the crowdsourcing personnel by using a first formula, wherein the first formula is as follows:
Sc＝Bmax*A，
wherein S iscFor maximum delivery capacity of crowdsourcing personnel, A is the number of crowdsourcing personnel capable of crowdsourcing delivery, BmaxMaximum delivery capacity for a single crowd-sourced person.
Optionally, the self-service delivery capacity calculation module is further configured to: acquiring information of self-operation distribution personnel who attendance, calculating the daily average distribution list amount of the self-operation distribution personnel in a preset time period, and calculating the self-operation distribution capacity of the self-operation distribution personnel according to a second formula, wherein the second formula is as follows:
wherein S isjdThe method comprises the steps that self-operation distribution capacity of self-operation distribution personnel is achieved, Q is a distribution capacity elastic coefficient of the self-operation distribution personnel, and Pn is a daily average distribution unit amount of the self-operation distribution personnel in a preset time period.
Since the logistics crowdsourcing distribution order screening device provided by the invention is a device corresponding to the method, the details are not described herein.
The present invention also provides a terminal device 3 for screening logistics crowdsourcing distribution orders, including: a memory 31 and a processor 32, wherein the memory 31 is configured to store executable instructions and the processor is configured to execute the instructions, wherein the processor 32 is configured to: acquiring order information of the orders to be delivered and the quantity of the orders to be delivered; selecting crowdsourcing distribution orders from the orders to be distributed according to the initial selection condition, and acquiring the quantity of the crowdsourcing distribution orders; calculating the sensitivity of the client to the delivery service quality according to the crowdsourcing delivery order; calculating the service quality of each crowdsourcing person according to the information of all crowdsourcing persons; calculating the maximum distribution capacity of the online crowdsourcing personnel according to the service quality of the online crowdsourcing personnel; calculating self-operation distribution capability of self-operation distribution personnel on duty according to the self-operation distribution personnel information on duty; calculating order increment according to the number of the orders to be distributed and the self-operation distribution capacity, wherein the order increment is the difference value of the number of the orders to be distributed and the self-operation distribution capacity; selecting crowdsourcing delivery orders according to the order increment, the maximum delivery capacity and the crowdsourcing delivery order quantity, wherein if the order increment is smaller than 0, all orders to be delivered are delivered according to a self-operation delivery mode; if the order increment is more than or equal to 0, taking the minimum value of the order increment, the maximum delivery capacity and the crowdsourcing delivery order quantity, wherein if the minimum value is equal to the crowdsourcing delivery order quantity, all the crowdsourcing delivery orders are delivered in a crowdsourcing delivery mode; and if the minimum value is less than the quantity of the crowdsourcing orders, sorting the crowdsourcing orders in a descending order according to the sensitivity of the customer to the delivery service quality, and selecting the crowdsourcing order with the minimum value as the top quantity to deliver according to a crowdsourcing delivery mode.
According to the method and the device for screening the logistics crowdsourcing distribution orders, the factors such as the current logistics distribution capacity and the sensitivity of customers to the distribution service quality are predicted according to the distribution capacity of current logistics distribution personnel and the historical data of the customers, the optimal orders which accord with crowdsourcing distribution are automatically screened from a business system and distributed to crowdsourcing for distribution, and the mode can ensure that the user experience is not reduced to the maximum extent, reduce customer complaints caused by logistics distribution delay and ensure pleasant shopping experience of the customers.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (11)
1. A logistics crowdsourcing delivery order screening method is characterized by comprising the following steps:
acquiring order information of the orders to be delivered and the quantity of the orders to be delivered;
selecting crowdsourcing distribution orders from the orders to be distributed according to the initial selection condition, and acquiring the quantity of the crowdsourcing distribution orders;
calculating the sensitivity of the customer to the delivery service quality according to the crowdsourced delivery order;
calculating the service quality of each crowdsourcing person according to the information of all crowdsourcing persons;
calculating the maximum delivery capacity of the crowdsourcing people on line according to the service quality of the crowdsourcing people on line;
calculating self-operation distribution capacity of self-operation distribution personnel who are on duty according to self-operation distribution personnel information on duty;
calculating order increment according to the quantity of the orders to be distributed and the self-operation distribution capacity, wherein the order increment is the difference value between the quantity of the orders to be distributed and the self-operation distribution capacity;
selecting a crowdsourced delivery order in combination with the order increment, the maximum delivery capacity, and the crowdsourced delivery order quantity, wherein,
if the order increment is smaller than 0, the orders to be delivered are all delivered according to a self-operation delivery mode;
if the order increment is greater than or equal to 0, taking the minimum value of the order increment, the maximum delivery capacity and the crowdsourced delivery order quantity, wherein,
if the minimum value is equal to the quantity of the crowdsourcing orders, distributing all the crowdsourcing orders according to a crowdsourcing distribution mode;
if the minimum value is smaller than the quantity of the crowdsourcing orders, sorting the crowdsourcing orders in a descending order according to the sensitivity of the customer to the quality of the delivery service, and selecting the crowdsourcing orders which are sorted in the top and have the quantity of the minimum value to deliver according to a crowdsourcing delivery mode;
calculating the maximum delivery capacity of the crowdsourcing people online comprises:
obtaining the online crowdsourcing personnel information, and calculating the service quality of each crowdsourcing personnel;
if the service quality is larger than or equal to a fifth threshold value, selecting the number of crowdsourcing personnel capable of crowdsourcing distribution, and calculating the maximum distribution capacity of the crowdsourcing personnel by using a first formula, wherein the first formula is as follows:
Sc＝Bmax*A，
wherein S iscFor maximum delivery capacity of said crowdsourcing personnel, A is the number of said crowdsourcing personnel capable of crowdsourcing delivery, BmaxMaximum delivery capacity for individual crowdsourcing personnel;
calculating the self-operation distribution capacity of self-operation distribution personnel who are on duty comprises the following steps:
acquiring the information of self-operation distribution personnel who attendance, calculating the daily average distribution list amount of the self-operation distribution personnel in a preset time period, calculating the self-operation distribution personnel's self-operation distribution capacity according to a second formula, wherein the second formula is as follows:
wherein S isjdThe self-operation distribution capacity of the self-operation distribution personnel, Q is the distribution capacity elastic coefficient of the self-operation distribution personnel, Pn is the daily average distribution list amount of the self-operation distribution personnel in a preset time period, n is the number corresponding to the self-operation distribution personnel who are on duty, and the interval of i is that i is 1, 2, …, n, and the interval of i is 1 st to nth self-operation distribution personnel who are on duty respectively.
2. The method according to claim 1, wherein the initial selection condition at least comprises:
the payment mode of the order to be delivered is online payment, the commodity value does not exceed the first threshold value, the distribution point to which the order belongs opens the crowdsourcing logistics service, and the wrapping volume of the order is smaller than the second threshold value.
3. The method of claim 1, wherein calculating the customer sensitivity to delivery quality of service comprises:
calculating the order rejection rate of the customer, wherein the order rejection rate of the customer is the ratio of the rejected order quantity to the historical order quantity of the customer;
calculating self-operation distribution dissatisfaction rate of the customer, wherein the self-operation distribution dissatisfaction rate of the customer is the ratio of the order quantity with a self-operation distribution satisfaction score smaller than or equal to a third threshold value to the historical order quantity of the self-operation distribution of the customer;
calculating a crowdsourcing distribution dissatisfaction rate of the customer, wherein the crowdsourcing distribution dissatisfaction rate of the customer is a ratio of an order quantity with a crowdsourcing distribution satisfaction score of less than or equal to a fourth threshold value to a historical order quantity of crowdsourcing distribution of the customer;
calculating dissatisfaction differences of the customers, wherein the dissatisfaction differences of the customers are ratios of crowdsourcing distribution dissatisfaction rates of the customers to self-marketing distribution dissatisfaction rates of the customers;
scoring the difference value of the order rejection rate and the dissatisfaction rate of the customer to respectively obtain an order rejection rate score and a dissatisfaction rate score;
calculating the sensitivity of the customer to the delivery service quality, wherein the sensitivity of the customer to the delivery service quality is the sum of the order rejection rate score and the dissatisfaction rate score.
4. The method of claim 1, wherein the quality of service of each crowdsourcing person is a ratio of a sum of historical delivery satisfaction scores for each crowdsourcing person to a historical total order amount for each crowdsourcing person.
5. A logistics crowdsourcing delivery order screening apparatus, the apparatus comprising:
the order data receiving module is used for acquiring order information of the orders to be delivered and the quantity of the orders to be delivered;
the order primary selection module is used for selecting crowdsourcing distribution orders from the orders to be distributed according to primary selection conditions and acquiring the quantity of the crowdsourcing distribution orders;
the customer sensitivity evaluation module is used for calculating the sensitivity of the customer to the delivery service quality according to the crowdsourcing delivery order;
the crowdsourcing service quality evaluation module is used for calculating the service quality of each crowdsourcing person according to the information of all crowdsourcing persons;
a crowdsourcing distribution capability calculation module for calculating the maximum distribution capability of the crowdsourcing personnel on line according to the service quality of the crowdsourcing personnel on line;
the self-operation distribution capacity calculation module is used for calculating the self-operation distribution capacity of the self-operation distribution personnel on duty according to the information of the self-operation distribution personnel on duty;
the order increment calculation module is used for calculating order increment according to the order quantity to be distributed and the self-operation distribution capacity, wherein the order increment is the difference value between the order quantity to be distributed and the self-operation distribution capacity;
a crowd-sourced delivery order screening module to select crowdsourced delivery orders in combination with the order increment, the maximum delivery capacity, and the crowdsourced delivery order quantity, wherein,
if the order increment is smaller than 0, the orders to be delivered are all delivered according to a self-operation delivery mode;
if the order increment is greater than or equal to 0, taking the minimum value of the order increment, the maximum delivery capacity and the crowdsourced delivery order quantity, wherein,
if the minimum value is equal to the quantity of the crowdsourcing orders, distributing all the crowdsourcing orders according to a crowdsourcing distribution mode;
if the minimum value is smaller than the quantity of the crowdsourcing orders, sorting the crowdsourcing orders in a descending order according to the sensitivity of the customer to the quality of the delivery service, and selecting the crowdsourcing orders which are sorted in the top and have the quantity of the minimum value to deliver according to a crowdsourcing delivery mode;
the crowdsourcing distribution capability calculation module is further to:
obtaining the online crowdsourcing personnel information, and calculating the service quality of each crowdsourcing personnel;
if the service quality is larger than or equal to a fifth threshold value, selecting the number of crowdsourcing personnel capable of crowdsourcing distribution, and calculating the maximum distribution capacity of the crowdsourcing personnel by using a first formula, wherein the first formula is as follows:
Sc＝Bmax*A，
wherein S iscFor maximum delivery capacity of said crowdsourcing personnel, A is the number of said crowdsourcing personnel capable of crowdsourcing delivery, BmaxMaximum delivery capacity for individual crowdsourcing personnel;
the self-operation distribution capacity calculation module is further used for:
acquiring the information of self-operation distribution personnel who attendance, calculating the daily average distribution list amount of the self-operation distribution personnel in a preset time period, calculating the self-operation distribution personnel's self-operation distribution capacity according to a second formula, wherein the second formula is as follows:
wherein S isjdThe self-operation distribution capacity of the self-operation distribution personnel, Q is the distribution capacity elastic coefficient of the self-operation distribution personnel, Pn is the daily average distribution list amount of the self-operation distribution personnel in a preset time period, n is the number corresponding to the self-operation distribution personnel who are on duty, and the interval of i is that i is 1, 2, …, n, and the interval of i is 1 st to nth self-operation distribution personnel who are on duty respectively.
6. The apparatus according to claim 5, wherein the initial selection condition at least comprises:
the payment mode of the order to be delivered is online payment, the commodity value does not exceed the first threshold value, the distribution point to which the order belongs opens the crowdsourcing logistics service, and the wrapping volume of the order is smaller than the second threshold value.
7. The apparatus of claim 5, wherein the customer sensitivity assessment module is further configured to:
calculating the order rejection rate of the customer, wherein the order rejection rate of the customer is the ratio of the rejected order quantity to the historical order quantity of the customer;
calculating self-operation distribution dissatisfaction rate of the customer, wherein the self-operation distribution dissatisfaction rate of the customer is the ratio of the order quantity with a self-operation distribution satisfaction score smaller than or equal to a third threshold value to the historical order quantity of the self-operation distribution of the customer;
calculating a crowdsourcing distribution dissatisfaction rate of the customer, wherein the crowdsourcing distribution dissatisfaction rate of the customer is a ratio of an order quantity with a crowdsourcing distribution satisfaction score of less than or equal to a fourth threshold value to a historical order quantity of crowdsourcing distribution of the customer;
calculating dissatisfaction differences of the customers, wherein the dissatisfaction differences of the customers are ratios of crowdsourcing distribution dissatisfaction rates of the customers to self-marketing distribution dissatisfaction rates of the customers;
scoring the difference value of the order rejection rate and the dissatisfaction rate of the customer to respectively obtain an order rejection rate score and a dissatisfaction rate score;
calculating the sensitivity of the customer to the delivery service quality, wherein the sensitivity of the customer to the delivery service quality is the sum of the order rejection rate score and the dissatisfaction rate score.
8. The apparatus of claim 5, wherein the quality of service of each crowdsourcing person is a ratio of a sum of historical delivery satisfaction scores for each crowdsourcing person to a historical total order amount for each crowdsourcing person.
9. The utility model provides a terminal device that commodity circulation crowdsourcing delivery order was filtered which characterized in that includes: a memory for storing executable instructions and a processor for executing the instructions, wherein the processor is configured to:
acquiring order information of the orders to be delivered and the quantity of the orders to be delivered;
selecting crowdsourcing distribution orders from the orders to be distributed according to the initial selection condition, and acquiring the quantity of the crowdsourcing distribution orders;
calculating the sensitivity of the customer to the delivery service quality according to the crowdsourced delivery order;
calculating the service quality of each crowdsourcing person according to the information of all crowdsourcing persons;
calculating the maximum delivery capacity of the crowdsourcing people on line according to the service quality of the crowdsourcing people on line;
calculating self-operation distribution capacity of self-operation distribution personnel who are on duty according to self-operation distribution personnel information on duty;
calculating order increment according to the quantity of the orders to be distributed and the self-operation distribution capacity, wherein the order increment is the difference value between the quantity of the orders to be distributed and the self-operation distribution capacity;
selecting a crowdsourced delivery order in combination with the order increment, the maximum delivery capacity, and the crowdsourced delivery order quantity, wherein,
if the order increment is less than 0, the orders to be delivered are all delivered according to a self-operation delivery mode, wherein,
if the order increment is greater than or equal to 0, taking the minimum value of the order increment, the maximum delivery capacity and the crowdsourced delivery order quantity, wherein,
if the minimum value is equal to the quantity of the crowdsourcing orders, distributing all the crowdsourcing orders according to a crowdsourcing distribution mode;
if the minimum value is smaller than the quantity of the crowdsourcing orders, sorting the crowdsourcing orders in a descending order according to the sensitivity of the customer to the quality of the delivery service, and selecting the crowdsourcing orders which are sorted in the top and have the quantity of the minimum value to deliver according to a crowdsourcing delivery mode;
calculating the maximum delivery capacity of the crowdsourcing people online comprises:
obtaining the online crowdsourcing personnel information, and calculating the service quality of each crowdsourcing personnel;
if the service quality is larger than or equal to a fifth threshold value, selecting the number of crowdsourcing personnel capable of crowdsourcing distribution, and calculating the maximum distribution capacity of the crowdsourcing personnel by using a first formula, wherein the first formula is as follows:
Sc＝Bmax*A，
wherein S iscFor maximum delivery capacity of said crowdsourcing personnel, A is the number of said crowdsourcing personnel capable of crowdsourcing delivery, BmaxMaximum delivery capacity for individual crowdsourcing personnel;
calculating the self-operation distribution capacity of self-operation distribution personnel who are on duty comprises the following steps:
acquiring the information of self-operation distribution personnel who attendance, calculating the daily average distribution list amount of the self-operation distribution personnel in a preset time period, calculating the self-operation distribution personnel's self-operation distribution capacity according to a second formula, wherein the second formula is as follows:
wherein S isjdThe self-operation distribution capacity of the self-operation distribution personnel, Q is the distribution capacity elastic coefficient of the self-operation distribution personnel, Pn is the daily average distribution list amount of the self-operation distribution personnel in a preset time period, n is the number corresponding to the self-operation distribution personnel who are on duty, and the interval of i is that i is 1, 2, …, n, and the interval of i is 1 st to nth self-operation distribution personnel who are on duty respectively.
10. An electronic device for logistics crowdsourcing delivery order screening, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-4.
11. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-4.
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