CN112288361A - Order logistics aging management method, system, equipment and storage medium - Google Patents
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Abstract
The invention provides a method, a system, equipment and a storage medium for order logistics aging management, wherein the method comprises the following steps: receiving a notice generated by an order and acquiring order information, wherein the order information comprises the preset latest delivery time of the order; acquiring logistics information of the order, and determining predicted delivery time according to the logistics information; comparing the preset latest delivery time with the predicted delivery time to obtain a comparison result; and if the comparison result meets a preset quit condition, initiating a quit process. By adopting the invention, on one hand, manual operation of a user is not needed, the condition that the piece returning efficiency is reduced due to the repeated interaction of the user and the e-commerce platform system is avoided, and the timely starting of the piece returning process is ensured, on the other hand, the piece returning starting process of the e-commerce platform system is simplified, and the burden of the e-commerce platform system on order logistics management can be effectively reduced under the condition that the e-commerce order quantity is increased greatly day by day.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method, a system, equipment and a storage medium for order logistics aging management.
Background
In the e-commerce platform system, some goods ordered by e-commerce may be time sensitive goods. For example, the item in an order is an item of props that needs to be used immediately in a program, and is not used once the expected time has elapsed. After the order of the current e-commerce platform system performs a fulfillment link, when the package changes in time in circulation, the following problems may exist:
(1) because the interaction between the consumer and the e-commerce platform system is that the consumer generally logs in the corresponding APP to check the message and is limited by the limit of message checking frequency of the consumer, when the order state changes, the consumer often cannot be informed in time, and the consumer cannot know when the package can be reached;
(2) the existing order aging management only has a latest prediction of delivery time, and after the customer checks the order, even if the predicted delivery time does not meet the requirement, the customer needs to quit the piece immediately, and the piece quitting process needs to be started by manual operation after the order is sold. On one hand, the mode needs the manual operation of the consumer to return the piece, which is troublesome and brings poor use experience to the user; on the other hand, the overall efficiency is very low, after the piece returning process is finished, goods are transported for a long distance, the piece returning is executed at the moment, and the logistics cost is correspondingly increased.
Disclosure of Invention
Aiming at the problems in the prior art, the invention aims to provide a method, a system, equipment and a storage medium for order logistics aging management, so that the order logistics aging management efficiency is improved.
The embodiment of the invention provides an order logistics timeliness management method, which comprises the following steps:
receiving a notice generated by an order and acquiring order information, wherein the order information comprises the preset latest delivery time of the order;
acquiring logistics information of the order, and determining predicted delivery time according to the logistics information;
comparing the preset latest delivery time with the predicted delivery time to obtain a comparison result;
and if the comparison result meets a preset quit condition, initiating a quit process.
In some embodiments, the obtaining the order information includes the following steps:
predicting a latest delivery time of the order;
pushing the predicted latest delivery time and an overtime automatic quit confirmation notice to a user;
and when receiving an overtime quit confirmation instruction from the user, determining the preset latest delivery time according to the overtime quit confirmation instruction.
In some embodiments, the logistics information includes real-time track information of a parcel to which the order corresponds, and the determining the estimated time of delivery includes predicting the estimated time of delivery of the order based on the real-time track information.
In some embodiments, after obtaining the comparison result, the method further includes the following steps:
judging whether the estimated delivery time is later than the preset latest delivery time;
if so, the comparison result meets a preset condition of withdrawing the workpiece.
In some embodiments, after obtaining the comparison result, the method further includes the following steps:
judging whether the estimated delivery time is later than the preset latest delivery time or not, wherein the confidence coefficient of the estimated delivery time is larger than a preset threshold value;
if so, the comparison result meets a preset condition of withdrawing the workpiece.
In some embodiments, the initiating a retirement procedure includes:
determining a logistics company system corresponding to the package of the order according to the logistics information of the order;
and calling an interface of the logistics company system, and sending a package interception return notice to the logistics company system.
In some embodiments, the initiating a retirement procedure includes:
determining the delivery state of the order according to the logistics information of the order, and judging whether the state of the order is delivered;
if the order is shipped, calling an interface of a logistics company system corresponding to the order, and sending a package interception return notice to the logistics company system;
and if the order is not delivered, initiating a refund process.
In some embodiments, after sending the package interception return notification to the logistics company system, the method further comprises initiating a refund process in a designated refund mode.
In some embodiments, before initiating the refund process in the designated refund manner, the method further includes the following steps:
acquiring user information corresponding to the order, wherein the user information comprises user rating levels;
and selecting the designated refund mode according to the preset mapping relation between the user rating level and the refund mode.
In some embodiments, initiating a refund process using a specified refund mode includes the steps of:
if the refund mode is immediate refund, initiating a refund process after sending a package interception refund notice to the logistics company system;
and if the refund mode is the goods arrival refund, initiating a refund process when receiving a notice of signing for the package of the merchant from the interface of the logistics company system.
In some embodiments, the initiating a refund process in a specified refund manner includes the following steps:
determining a delay type according to the logistics information of the order;
and inquiring the corresponding delay liability party according to the delay type, and inquiring a deduction account corresponding to the delay liability party.
In some embodiments, comparing the preset latest delivery time with the expected delivery time further comprises:
acquiring commodity information corresponding to the order, wherein the commodity information comprises a preset label of the commodity;
judging whether the preset label of the commodity comprises an overtime automatic return label or not;
and if so, comparing the preset latest delivery time with the expected delivery time to obtain a comparison result.
The embodiment of the invention also provides an order logistics aging management system, which is applied to the order logistics aging management method, and the system comprises:
the first information acquisition module is used for receiving a notice generated by an order and acquiring order information, wherein the order information comprises the preset latest delivery time of the order;
the second information acquisition module is used for acquiring logistics information of the order and determining predicted delivery time according to the logistics information;
a delivery time comparison module for comparing the preset latest delivery time with the estimated delivery time to obtain a comparison result;
and the quitting flow initiating module is used for initiating the quitting flow if the comparison result meets the preset quitting condition.
An embodiment of the present invention further provides an order logistics timeliness management apparatus, including:
a processor;
a memory having stored therein executable instructions of the processor;
wherein the processor is configured to perform the steps of the order logistics aging management method via execution of the executable instructions.
The embodiment of the invention also provides a computer-readable storage medium for storing a program, and the program realizes the steps of the order logistics aging management method when executed.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
The order logistics aging management method, the order logistics aging management system, the order logistics aging management equipment and the order logistics aging management storage medium have the following beneficial effects:
after the order is generated, the method compares the predicted delivery time with the latest delivery time capable of meeting the user requirements, and can automatically start a return process if the predicted delivery time cannot meet the user requirements; by adopting the aging management method, on one hand, manual operation of a user is not needed, the condition that the piece returning efficiency is reduced due to repeated interaction of the user and the e-commerce platform system is avoided, and the timely starting of the piece returning process is ensured, on the other hand, the piece returning starting process of the e-commerce platform system is simplified, and the burden of the e-commerce platform system on order logistics management can be effectively relieved under the condition that the e-commerce order quantity is increased greatly day by day.
Drawings
Other features, objects and advantages of the present invention will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, with reference to the accompanying drawings.
FIG. 1 is a flow chart of a method for order logistics aging management according to an embodiment of the present invention;
FIG. 2 is a diagram of an initiate retirement procedure according to an embodiment of the invention;
FIG. 3 is a schematic structural diagram of an order logistics aging management system according to an embodiment of the invention;
FIG. 4 is a schematic diagram of an order logistics aging management system in cooperation with other systems according to an embodiment of the invention;
FIG. 5 is a schematic diagram of an order logistics aging management system in cooperation with other systems according to another embodiment of the present invention;
fig. 6 is a schematic structural diagram of an order logistics aging management device according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a computer-readable storage medium according to an embodiment of the present invention.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
As shown in fig. 1, an embodiment of the present invention provides an order logistics aging management method, including the following steps:
s100: receiving a notice generated by an order and acquiring order information, wherein the order information comprises the preset latest delivery time of the order;
s200: acquiring logistics information of the order, and determining predicted delivery time according to the logistics information;
s300: comparing the preset latest delivery time with the predicted delivery time to obtain a comparison result;
s400: if the comparison result meets a preset quitting condition, namely the predicted delivery time cannot meet the user requirement, initiating a quitting process;
s500: and if the comparison result does not meet the preset quitting condition, namely the predicted delivery time can meet the user requirement, not automatically initiating a quitting process.
Firstly, acquiring preset latest delivery time of an order after the order is generated through a step S100, namely the latest delivery time capable of meeting the user requirement, determining predicted delivery time according to logistics information through a step S200, then comparing the prediction of the delivery time with the latest delivery time capable of meeting the user requirement through a step S300, and if the predicted delivery time cannot meet the user requirement, automatically starting a piece returning process through a step S400; by adopting the aging management method, on one hand, manual operation of a user is not needed, the condition that the piece returning efficiency is reduced due to repeated interaction of the user and the e-commerce platform system is avoided, and the timely starting of the piece returning process is ensured, on the other hand, the piece returning starting process of the e-commerce platform system is simplified, and the burden of the e-commerce platform system on order logistics management can be effectively relieved under the condition that the e-commerce order quantity is increased greatly day by day. The user here refers to a consumer user who places an order to purchase goods. A user can purchase goods on the e-commerce platform through the APP or the webpage end, and the e-commerce platform system generates a corresponding order.
The preset latest delivery time is the latest delivery time which can meet the requirement of the user on the order form, and if the actual delivery time is later than the preset latest delivery time, certain loss is caused to the user. The preset latest delivery time can be set by the user, and if the user does not set the preset latest delivery time, a preset default value and the like can be adopted.
Specifically, the step S100: obtaining the order information may include the following steps:
predicting a latest delivery time of the order;
pushing the predicted latest delivery time and an overtime automatic quit confirmation notice to a user, and asking the user to select whether the setting of overtime automatic quit can be accepted or not;
when receiving an overtime quit confirmation instruction from the user, determining preset latest delivery time according to the overtime quit confirmation instruction, namely taking the predicted latest delivery time as the preset latest delivery time, and then automatically initiating a quit process when judging that the comparison result meets a preset quit condition through the step S400;
if the user receives an instruction that the overtime quit is not approved, the subsequent operations of the steps S200 to S500 are not executed, or only the step S200 is executed to obtain the expected delivery time in real time and push the expected delivery time to the user for reference.
Therefore, in this embodiment, the user can first select the setting of whether to accept the timeout automatic quit, and the user is provided with different selection modes for different requirements. After the user determines that the setting of overtime automatic quitting can be accepted, the whole-course real-time monitoring of the order logistics aging and the timely processing when delay occurs or delay is possible can be directly and automatically executed by the e-commerce platform system, and the efficiency of order logistics aging management is greatly improved.
The latest delivery time of the order can be predicted in various ways, for example, a commodity delivery place and a commodity receiving place of the order can be obtained, the commodity transportation distance is segmented according to the distance between the commodity delivery place and the commodity receiving place and the position of a transfer station, the predicted time spent on each commodity transportation distance segment is calculated according to the length of each commodity transportation distance segment and the average transportation speed, and the predicted time spent on the whole commodity transportation distance is obtained through statistics. The latest delivery time is then predicted based on the order placement time and the predicted elapsed time. In other alternative embodiments, the time taken for transportation and, therefore, the latest time of delivery may be predicted by performing statistical analysis based on the transportation history data of historical orders for other goods between the delivery location and the receiving location. In the prediction process, various factors such as weather conditions, traffic control conditions, commodity volume and weight and the like during transportation can be further considered.
Further, the merchant may also preset a setting that whether the commodity of the merchant is acceptable for automatic quitting overtime, for example, the merchant may set an automatic quitting overtime tag in a merchant management end system of the e-commerce platform, and may set and modify a default quitting address, and once quitting occurs subsequently, the merchant may directly notify the logistics company system to send to the default quitting address. Specifically, the step S300: comparing the preset latest delivery time with the expected delivery time may further include the steps of:
acquiring commodity information corresponding to the order, wherein the commodity information comprises a preset label of the commodity; specifically, the commodity ID included in the order may be first obtained, and then the preset label of the corresponding commodity is queried according to the commodity ID;
judging whether the preset label of the commodity comprises an overtime automatic return label or not;
if so, continue to step S300: comparing the preset latest delivery time with the predicted delivery time to obtain a comparison result, and automatically executing the step S400 or S500 according to the comparison result;
if not, the step S300 is not continued, and the logistics information may be acquired in real time only by the step S200, and the user may be notified of the expected delivery time.
Further, after the merchant adds the overtime automatic recommendation tag to the commodity, when the user browses the corresponding commodity at the APP or the webpage end, the overtime automatic return tag of the commodity can be synchronously displayed, and the user can decide whether to select the commodity with the overtime automatic return tag according to the self condition and the requirement.
In this embodiment, in step S200, the logistics information of the order is obtained, and when the expected delivery time is determined according to the logistics information, the logistics information may directly include the expected delivery time, and the expected delivery time may be determined directly according to the logistics information, or the logistics information may include the expected remaining time, and the expected delivery time is determined according to the current time. In this embodiment, the logistics information may also include real-time track information of a package corresponding to the order, and when determining the expected delivery time according to the logistics information, predicting the expected delivery time of the order according to the real-time track information.
Predicting the expected delivery time of an order may also be performed in a variety of ways. For example, the current arrival position of the commodity logistics is obtained from the real-time track information, the expected remaining time of the commodity arrival at the receiving place is predicted according to the factors such as the distance sections between the current arrival position of the commodity logistics and the receiving place, the length of each distance section, the average transportation speed and the like, and then the expected delivery time is determined according to the current time. In the present invention, the time accuracy of the preset latest delivery time and the estimated delivery time may be set as needed, or may be set by default. For example, the preset latest delivery time may be set to be as accurate as minutes, XX minutes at XX month XX day XX of XX month XX of 20XX years, or may be set to be as accurate as days, XX day at XX month of 20XX years, or a certain period of time, XX hours-XX hours at XX month XX day XX of XX month of 20XX years.
Steps S200 to S500 are a dynamically executed process. That is, the predicted delivery time is dynamically obtained at different times of the transportation of the article through step S200, and whether the article return is required is determined according to the latest predicted delivery time in time through steps S300 to S500. The execution frequency of steps S200 to S500 may be set as required, for example, the expected delivery time is acquired every 3 minutes, and whether the article needs to be returned is determined, and the value of the frequency may be set or adjusted as required.
In this embodiment, the step S300: after obtaining the comparison result, the method also comprises the following steps:
judging whether the estimated delivery time is later than the preset latest delivery time;
if so, the comparison result satisfies a preset condition for returning, that is, in this embodiment, the preset condition for returning is that the predicted delivery time is later than the preset latest delivery time, and the comparison result does not satisfy the preset condition for returning only if the preset condition for returning is earlier than or equal to the preset latest delivery time.
In another alternative embodiment, the condition of returning the article may be set such that the estimated delivery time is later than the preset latest delivery time, and the time difference between the estimated delivery time and the preset latest delivery time is greater than a preset time threshold, and when the condition of returning the article is met, the process of returning the article is automatically initiated. That is, this method allows the estimated arrival time to be later than the preset latest arrival time by a relatively small time range, and allows a certain amount of delay of arrival. This embodiment can be used when the user has certain requirements on logistics time, but the requirements are not particularly strict. For example, the user expects the goods to be received within 3 days in the future, but if the goods are received 4 days in the future, although later than the time expected by the user, they can be accepted, the return is not needed, and if the goods are received 7 days in the future, the user cannot accept, in which case the return is initiated.
In yet another alternative embodiment, the condition of returning the article may be set such that the predicted delivery time is earlier than the preset latest delivery time, but the time difference between the predicted delivery time and the latest delivery time is less than a preset time threshold, and when the condition of returning the article is satisfied, the process of returning the article is automatically initiated. That is, although the expected delivery time is earlier than the preset latest delivery time, since the two times are too close to each other, there is a high possibility that the actual delivery time is delayed in consideration of the risk factors of weather, vehicles, traffic, and the like, which may occur later. By adopting the implementation mode, the situation that the actual delivery time is later than the preset latest delivery time can be avoided to the maximum extent.
In yet another alternative embodiment, after the step S300 obtains the comparison result, the method further includes the following steps:
judging whether the estimated delivery time is later than the preset latest delivery time or not, wherein the confidence coefficient of the estimated delivery time is larger than a preset threshold value;
if so, the comparison result meets a preset condition of withdrawing the part;
if not, the comparison result does not meet the preset condition of withdrawing the part.
The confidence of the predicted delivery time is used for evaluating the accuracy of the predicted delivery time, whether a difference between two times is smaller than a certain time threshold value is judged by counting the predicted delivery time of the e-commerce platform system and the actual delivery time in a certain time granularity (generally days) in a sample statistical mode, if so, the number of the predicted accuracy times is added by 1, and finally, in a certain time period (such as the latest 30 days), the predicted accuracy is judged to be high (for example, the ratio of the predicted accuracy times to all the predicted times is calculated), and the accuracy is determined as the confidence. The setting of the preset threshold corresponding to the confidence level is generally higher (e.g. 90%), but the present invention is not limited thereto, and the value of the preset threshold may be set and adjusted according to actual requirements.
A number of alternative ejection conditions are listed above. In practical application, the e-commerce platform system may only select one of the quit conditions to implement steps S300 to S500, or may also provide multiple quit conditions for the user to select, after the user selects a certain quit condition, add the type of the quit condition selected by the user as a tag to the order, and after the order obtains the comparison result through step S300, determine whether to initiate a quit process according to the type tag of the quit condition.
In this embodiment, the necessity and accuracy of the start of the quit flow can be ensured by increasing the judgment dimension of the confidence. If the confidence is not high, if the predicted delivery time is inaccurate, the item returning process is started according to the predicted delivery time, so that misjudgment may occur, and the goods which can be delivered on time originally are returned.
In this embodiment, the order logistics aging management method can be applied to aging management at a stage after the delivery of the commodity, that is, aging management of logistics after the delivery of the commodity to the logistics company. In this stage, if a return flow is initiated, the packages corresponding to the commodities need to be intercepted and returned. Specifically, the step S400: initiating a quit flow, comprising the following steps:
determining a logistics company system corresponding to the package of the order according to the logistics information of the order;
and calling an interface of the logistics company system, and sending a package interception return notice to the logistics company system. The return address of the package interception return is the return address of the merchant, and the return address can be a default return address which is filled in the E-commerce platform system by the merchant in advance or a delivery address which is automatically captured by the logistics company system from the logistics delivery information. The interface of the logistics company system is an interface for transmitting related logistics data from the logistics company system to the e-commerce platform system.
The invention adopts the method of automatically judging whether to return the goods and automatically initiating the return process, so that the interaction time and decision time of the user do not need to be waited, the interception and return of the commodity package can be realized more quickly, the return efficiency is greatly improved on one hand, and the logistics cost increased by the return of goods is also reduced on the other hand.
In another alternative embodiment, the time effectiveness of the merchant's shipment may not meet the user's demand after the order is generated, for example, the merchant may not ship late after the order is generated, resulting in the goods not being delivered to the user in a timely manner. The order logistics aging management method can be applied to aging management in a stage after commodity delivery, and can also be applied to aging management before commodity delivery after order generation. Specifically, the step S400: initiating a quit flow, comprising the following steps:
determining the delivery state of the order according to the logistics information of the order, and judging whether the state of the order is delivered;
if the order is shipped, namely the commodity is delivered to the logistics company, calling an interface of a logistics company system corresponding to the order, and sending a package interception return notice to the logistics company system;
if the order is not delivered, the refund process can be directly initiated without initiating package interception return because the goods are not delivered to the logistics company.
Furthermore, no matter whether the invention is only applied to the aging management of logistics transportation after commodity delivery, or the invention is simultaneously applied to the aging management of logistics transportation and the aging management of merchant delivery, after the notice of package interception return is sent to the logistics company system, the invention can also adopt a designated refund mode to initiate a refund flow, thereby further improving the speed of the processing flow of the whole order after the return.
As shown in fig. 2, in this embodiment, before initiating the refund process in the designated refund manner, the method further includes the following steps:
s610: acquiring user information corresponding to the order, where the user information includes a user rating level, and specifically, first acquiring a user ID corresponding to the order, and then querying the user rating level according to the user ID, where the user rating level may be a credit level of the user, and for example, rating according to a preset rating rule according to historical consumption data, historical fulfillment data, and the like of the user; in other alternative embodiments, the user rating may also be a user consumption rating, and the rating is performed according to a preset rating rule according to historical consumption data of the user, consumption habits of the user, and the like;
s620: and selecting the designated refund mode according to the preset mapping relation between the user rating level and the refund mode. Therefore, corresponding refund modes can be adopted for different users, and the requirements of different users are met on the basis of guaranteeing the safety of refund. For example, for a user with a higher user rating level, the refund timeliness is improved, a shorter refund path and a shorter refund time are provided for the user, and therefore the balance of refund safety and refund timeliness can be achieved.
In this embodiment, the refund nodes corresponding to different refund modes are different. For the users with higher user rating levels, the refund node can be moved forward, the refund can be directly carried out without the need of the merchant for signing the returned packages, namely, an immediate refund mode is adopted, for the users with lower user rating levels, in order to ensure the safety of the refund, the refund is carried out after the merchant signs the returned packages, namely, a goods arrival refund mode is adopted. Specifically, as shown in fig. 2, initiating a refund process in a designated refund manner includes the following steps:
s630: judging the refund mode type selected according to the user rating level;
s640: if the refund mode is immediate refund, initiating a refund process after sending a package interception refund notice to the logistics company system;
s650: and if the refund mode is the goods arrival refund, initiating a refund process when receiving a notice of signing for the package of the merchant from the interface of the logistics company system.
In other alternative embodiments, other refund mode selection methods may be used. For example, a refund mode tag of the product may be set by a merchant in advance. The merchant adds a label of a refund mode or a label of refund of the arrived goods immediately after the refund in advance. After the order containing the commodity initiates a return flow, when the commodity is successfully intercepted, judging the refund mode type corresponding to the label of the commodity, and selecting a corresponding immediate refund mode or a return mode of the arrived commodity.
For example, the refund mode may be determined based on the value of the product or whether the product is easily damaged. For orders with low commodity value, an immediate refund mode can be directly adopted. For orders with high commodity value, a goods arrival refund mode can be adopted. For orders with goods which are not easy to damage, an immediate refund mode can be adopted. For the order of the easily damaged commodity, a goods returning mode can be adopted.
In addition, other types of refunds may be provided. For example, when initiating a return process, one half of the charge is returned first, and after the merchant signs the returned goods, the other half of the charge is returned. Or other time nodes are additionally arranged, and a mode of refunding all at once or refunding in stages and times is adopted, and the like.
In the embodiment, considering that the reason for initiating the order refund is the logistics transportation delay of the order, the delayed responsible party can be further automatically determined, and the corresponding deduction account can be automatically inquired and determined, so that the execution efficiency of the whole return and refund process is further improved. Specifically, the process of initiating a refund in a specified refund manner includes the following steps:
determining a delay type according to the logistics information of the order, wherein the delay type can comprise weather factor delay, traffic control factor delay, logistics company misdistribution delay and the like;
and inquiring the corresponding delay responsible party according to the delay type, inquiring the deduction account corresponding to the delay responsible party, and further deducting corresponding fees from the deduction account of the delay responsible party.
For example, a responsible party corresponding to ineligible force factor delay such as weather factor delay and traffic control factor delay is determined as a merchant, and a responsible party corresponding to delay caused by a logistics company reason such as logistics company misclassification delay and logistics company misclassification delay is determined as a logistics company.
As shown in fig. 3, an embodiment of the present invention further provides an order logistics aging management system M100, which is applied to the order logistics aging management method, and the system includes:
the first information acquisition module M110 is configured to receive a notification generated by an order, and acquire order information, where the order information includes a preset latest arrival time of the order, and the order information may further include other required information, such as product information in the order, a logistics order number corresponding to the order, user information corresponding to the order, merchant information corresponding to the order, and the like;
the second information acquisition module M120 is configured to acquire logistics information of the order, and determine a predicted delivery time according to the logistics information, where the logistics information may directly include the predicted delivery time predicted by the e-commerce platform system, or may include real-time trajectory information, and the second information acquisition module M120 needs to predict the predicted delivery time according to the real-time trajectory information;
a delivery time comparison module M130, configured to compare the preset latest delivery time with the expected delivery time, and obtain a comparison result;
a quit flow initiating module M140, configured to initiate a quit flow if the comparison result meets a preset quit condition.
According to the invention, firstly, a first information acquisition module M110 acquires preset latest delivery time of an order after the order is generated, namely the latest delivery time capable of meeting user requirements, a second information acquisition module M120 determines predicted delivery time according to logistics information, then a delivery time comparison module M130 compares the prediction of the delivery time with the latest delivery time capable of meeting the user requirements, and if the predicted delivery time cannot meet the user requirements, a piece returning flow initiating module M140 automatically starts a piece returning flow; by adopting the aging management system, on one hand, manual operation of a user is not needed, the condition that the piece returning efficiency is reduced due to the fact that the user interacts with the e-commerce platform system for many times is avoided, and the timely starting of the piece returning process is guaranteed, on the other hand, the piece returning starting process of the e-commerce platform system is simplified, and under the condition that the e-commerce order quantity is increased greatly day by day, the burden of the e-commerce platform system on order logistics management can be effectively relieved.
In the order logistics aging management system, the functions of each module can be realized by adopting the specific implementation of each step in the order logistics aging management method. For example, in the order logistics aging management system, the first information acquisition module M100 may adopt the specific implementation of the step S100 to acquire the preset latest delivery time, and the second information acquisition module M120 may adopt the specific implementation of the step S200 to acquire the predicted delivery time, for example, the predicted delivery time predicted by the e-commerce platform system or the logistics company system is directly acquired, or the predicted delivery time is automatically predicted after the real-time trajectory information is acquired. The delivery time comparing module M130 may specifically compare the expected delivery time with the preset latest delivery time by using the method of step S300. The quitting flow initiating module M140 may implement automatic quitting by using the specific implementation manner of the step S400.
The preset withdrawing condition can be set according to the requirement. For example, the preset condition may be that the expected delivery time is later than a preset latest delivery time. The delivery time comparison module M130 compares the estimated delivery time with the preset latest delivery time, and determines whether the estimated delivery time is later than the preset latest delivery time; if so, the comparison result meets a preset condition of returning the article, and the comparison result does not meet the preset condition of returning the article only if the preset condition of returning the article is earlier than or equal to the preset latest delivery time.
For another example, the predetermined condition may be determined by combining the time consideration and the predicted confidence consideration of the predicted arrival time. When the delivery time comparison module M130 compares the estimated delivery time with the preset latest delivery time, it determines whether the estimated delivery time is later than the preset latest delivery time, and the confidence of the estimated delivery time is greater than a preset threshold; if so, the comparison result meets a preset condition of withdrawing the part; if not, the comparison result does not meet the preset condition of withdrawing the part.
Further, the order logistics aging management system can further comprise an order refund processing module, and after the package interception return notification is sent to the logistics company system, the order refund processing module initiates a refund process in a specified refund mode, so that the speed of the processing process of the whole order after the order is returned is further improved.
In this embodiment, when the order logistics aging management system processes order refunds, a corresponding appropriate refund mode can be selected according to different user rating levels. Specifically, the order refund processing module first obtains user information corresponding to the order, where the user information includes a user rating; selecting a designated refund mode according to a preset mapping relation between the user rating level and the refund mode; if the refund mode is immediate refund, the order refund processing module initiates a refund process after sending a package interception refund notice to the logistics company system; and if the refund mode is the goods arrival refund, the order refund processing module initiates a refund process when receiving a notice of package receipt of the merchant from an interface of the logistics company system.
In this embodiment, when the order logistics aging management system processes the order refund, the delay liability party can be further determined, and the corresponding deduction account is automatically queried. Specifically, the order refund processing module firstly determines a delay type according to the logistics information of the order, wherein the delay type may include a weather factor delay, a traffic control factor delay, a logistics company misclassification delay and the like; and inquiring the corresponding delay responsible party according to the delay type, inquiring the deduction account corresponding to the delay responsible party, and further deducting corresponding fees from the deduction account of the delay responsible party.
As shown in fig. 4, in this embodiment, the order logistics aging management system M100 may be integrated in the e-commerce platform system M200, directly obtain relevant data (order information, user information, commodity information, etc.) from the existing e-commerce platform system M200, and call an interface of the logistics company system M300 through the e-commerce platform system M200 to obtain logistics information. As shown in fig. 5, in another embodiment, the order logistics aging management system M100 may also exist independently from the e-commerce platform system M200, and the order logistics aging management system M100 may communicate with the e-commerce platform system M200 in a wired manner or a wireless manner. The order logistics aging management system M100 may obtain logistics information from an interface of the logistics company system M300 through the e-commerce platform system M200, or may directly obtain logistics information from an interface of the logistics company system M300.
The embodiment of the invention also provides order logistics aging management equipment, which comprises a processor; a memory having stored therein executable instructions of the processor; wherein the processor is configured to perform the steps of the order logistics aging management method via execution of the executable instructions.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" platform.
An electronic device 600 according to this embodiment of the invention is described below with reference to fig. 6. The electronic device 600 shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 6, the electronic device 600 is embodied in the form of a general purpose computing device. The components of the electronic device 600 may include, but are not limited to: at least one processing unit 610, at least one storage unit 620, a bus 630 that connects the various system components (including the storage unit 620 and the processing unit 610), a display unit 640, and the like.
Wherein the storage unit stores program code, which can be executed by the processing unit 610, so that the processing unit 610 executes the steps according to various exemplary embodiments of the present invention described in the above section of the order logistics aging management method of the present specification. For example, the processing unit 610 may perform the steps as shown in fig. 1.
The storage unit 620 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)6201 and/or a cache memory unit 6202, and may further include a read-only memory unit (ROM) 6203.
The memory unit 620 may also include a program/utility 6204 having a set (at least one) of program modules 6205, such program modules 6205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The electronic device 600 may also communicate with one or more external devices 700 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 600, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 600 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 650. Also, the electronic device 600 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via the network adapter 660. The network adapter 660 may communicate with other modules of the electronic device 600 via the bus 630. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
By adopting the order logistics aging management device provided by the invention, the processor executes the order logistics aging management method when executing the executable instruction, so that the beneficial effect of the order logistics aging management method can be obtained.
The embodiment of the invention also provides a computer-readable storage medium for storing a program, and the program realizes the steps of the order logistics aging management method when executed. In some possible embodiments, the various aspects of the present invention may also be implemented in the form of a program product comprising program code for causing a terminal device to perform the steps according to various exemplary embodiments of the present invention described in the above section of the order logistics aging management method of this specification, when the program product is executed on the terminal device.
Referring to fig. 7, a program product 800 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be executed on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
By adopting the computer-readable storage medium provided by the invention, the stored program realizes the steps of the order logistics aging management method when being executed, thereby obtaining the beneficial effects of the order logistics aging management method.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (15)
1. An order logistics aging management method is characterized by comprising the following steps:
receiving a notice generated by an order and acquiring order information, wherein the order information comprises the preset latest delivery time of the order;
acquiring logistics information of the order, and determining predicted delivery time according to the logistics information;
comparing the preset latest delivery time with the predicted delivery time to obtain a comparison result;
and if the comparison result meets a preset quit condition, initiating a quit process.
2. The order logistics aging management method according to claim 1, wherein the obtaining of the order information comprises the following steps:
predicting a latest delivery time of the order;
pushing the predicted latest delivery time and an overtime automatic quit confirmation notice to a user;
and when receiving an overtime quit confirmation instruction from the user, determining the preset latest delivery time according to the overtime quit confirmation instruction.
3. The order logistics aging management method of claim 1, wherein the logistics information comprises real-time track information of packages corresponding to the order, and the determining the estimated delivery time comprises predicting the estimated delivery time of the order according to the real-time track information.
4. The order logistics aging management method according to claim 1, further comprising the following steps after the comparison result is obtained:
judging whether the estimated delivery time is later than the preset latest delivery time;
if so, the comparison result meets a preset condition of withdrawing the workpiece.
5. The order logistics aging management method according to claim 1, further comprising the following steps after the comparison result is obtained:
judging whether the estimated delivery time is later than the preset latest delivery time or not, wherein the confidence coefficient of the estimated delivery time is larger than a preset threshold value;
if so, the comparison result meets a preset condition of withdrawing the workpiece.
6. The order logistics aging management method according to claim 1, wherein the initiating of the return process comprises the following steps:
determining a logistics company system corresponding to the package of the order according to the logistics information of the order;
and calling an interface of the logistics company system, and sending a package interception return notice to the logistics company system.
7. The order logistics aging management method according to claim 1, wherein the initiating of the return process comprises the following steps:
determining the delivery state of the order according to the logistics information of the order, and judging whether the state of the order is delivered;
if the order is shipped, calling an interface of a logistics company system corresponding to the order, and sending a package interception return notice to the logistics company system;
and if the order is not delivered, initiating a refund process.
8. The order logistics aging management method according to claim 6 or 7, further comprising initiating a refund process in a designated refund mode after sending a package interception return notification to the logistics company system.
9. The order logistics aging management method according to claim 8, wherein before initiating a refund process in a designated refund manner, the method further comprises the following steps:
acquiring user information corresponding to the order, wherein the user information comprises user rating levels;
and selecting the designated refund mode according to the preset mapping relation between the user rating level and the refund mode.
10. The order logistics aging management method of claim 9, wherein a designated refund mode is adopted to initiate a refund process, comprising the following steps:
if the refund mode is immediate refund, initiating a refund process after sending a package interception refund notice to the logistics company system;
and if the refund mode is the goods arrival refund, initiating a refund process when receiving a notice of signing for the package of the merchant from the interface of the logistics company system.
11. The order logistics aging management method according to claim 8, wherein the initiating of the refund process by adopting the designated refund mode comprises the following steps:
determining a delay type according to the logistics information of the order;
and inquiring the corresponding delay liability party according to the delay type, and inquiring a deduction account corresponding to the delay liability party.
12. The order logistics aging management method according to claim 1, wherein comparing the preset latest delivery time with the estimated delivery time is preceded by the following steps:
acquiring commodity information corresponding to the order, wherein the commodity information comprises a preset label of the commodity;
judging whether the preset label of the commodity comprises an overtime automatic return label or not;
and if so, comparing the preset latest delivery time with the expected delivery time to obtain a comparison result.
13. An order logistics aging management system applied to the order logistics aging management method of any one of claims 1 to 12, the system comprising:
the first information acquisition module is used for receiving a notice generated by an order and acquiring order information, wherein the order information comprises the preset latest delivery time of the order;
the second information acquisition module is used for acquiring logistics information of the order and determining predicted delivery time according to the logistics information;
a delivery time comparison module for comparing the preset latest delivery time with the estimated delivery time to obtain a comparison result;
and the quitting flow initiating module is used for initiating the quitting flow if the comparison result meets the preset quitting condition.
14. An electronic device, characterized in that the electronic device comprises:
a processor;
a memory on which is stored a computer program which, when executed by the processor, performs the order logistics ageing management method according to any one of claims 1 to 12.
15. A computer storage medium, characterized in that a computer program is stored, which when executed by a processor performs the order logistics aging management method according to any one of claims 1 to 12.
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