CN113034076A - Logistics carrying object recommendation method and device, electronic equipment and storage medium - Google Patents
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Abstract
The invention relates to the technical field of logistics, and provides a method and a device for recommending a logistics carrying object, electronic equipment and a storage medium. The logistics carrying object recommendation method comprises the following steps: obtaining target logistics timeliness of each logistics line according to historical logistics data; calculating the time efficiency standard-reaching rate of each logistics carrying object on each logistics route according to the target logistics time efficiency of each logistics route, and arranging the logistics carrying objects of each logistics route in a descending order according to the time efficiency standard-reaching rate to obtain a carrying object recommendation list of each logistics route; and pushing a carrier object recommendation list of the logistics route with the delivery address of each merchant system as the starting point to each merchant system. According to the invention, the timeliness of each logistics carrying object is analyzed by combining the overall timeliness of the logistics route, and the carrying object recommendation list with the timeliness being ranked from high to low is pushed to the corresponding merchant system, so that the logistics carrying objects are selected according to the timeliness when the merchants deliver goods, and the shopping experience of users on an e-commerce platform is improved.
Description
Technical Field
The invention relates to the technical field of logistics, in particular to a method and a device for recommending a logistics carrying object, electronic equipment and a storage medium.
Background
Logistics aging is a big factor influencing the shopping experience of consumers on the e-commerce platform.
With the increasing competition of the logistics industry, more and more logistics companies emerge, and the aging difference between different logistics companies is gradually enlarged. However, when the e-commerce merchant selects the logistics company, the price is often used as a guide, the logistics timeliness expected by the consumer is sacrificed, and the shopping experience of the consumer on the e-commerce platform is influenced.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the invention and therefore may include information that does not constitute prior art that is already known to a person of ordinary skill in the art.
Disclosure of Invention
In view of the above, the invention provides a method and an apparatus for recommending logistics carrying objects, an electronic device and a storage medium, wherein the timeliness of each logistics carrying object is analyzed by combining the overall timeliness of a logistics route, and a carrying object recommendation list with timeliness sorted from high to low is pushed to a corresponding merchant system, so that the logistics carrying objects are selected according to timeliness when a merchant delivers goods, and the shopping experience of a user on an e-commerce platform is improved.
One aspect of the present invention provides a method for recommending a logistics carrier object, including: obtaining target logistics timeliness of each logistics line according to historical logistics data; calculating the time-efficiency standard-reaching rate of each logistics carrying object on each logistics route according to the target logistics time-efficiency of each logistics route, and arranging the logistics carrying objects of each logistics route in a descending order according to the time-efficiency standard-reaching rate to obtain a carrying object recommendation list of each logistics route; and pushing a carrier object recommendation list of the logistics route with the delivery address of each merchant system as the starting point to each merchant system.
In some embodiments, the method for recommending logistics carrier objects further comprises: responding to a selection request of a carrying object recommendation list, and judging whether the selected logistics carrying objects carry interception marks or not, wherein at least a plurality of last logistics carrying objects in the carrying object recommendation list carry the interception marks; if yes, intercepting the selection request, and pushing a carrier object replacement prompt to a merchant system initiating the selection request.
In some embodiments, the carrier object recommendation list is updated and pushed every preset period; the logistics carrying object recommendation method further comprises the following steps: monitoring whether logistics nodes of the logistics carrying objects are abnormal or not in a preset period between two updating and pushing processes, if so, obtaining an abnormal logistics line where the abnormal logistics nodes are located, and adding the interception identification to the logistics carrying object corresponding to the abnormal logistics node in a carrying object recommendation list of the abnormal logistics line.
In some embodiments, the monitoring whether the logistics node of each logistics carrier object is abnormal includes: monitoring the quantity of incoming and outgoing goods of each logistics node of each logistics carrying object; and when the difference of the piece feeding quantity and the piece discharging quantity of a logistics node in the continuous preset time reaches a preset difference, judging that the logistics node is abnormal.
In some embodiments, the method for recommending logistics carrier objects further comprises: after the prompt for receiving the change of the carrying object is obtained, the current merchant system and the current logistics order of the logistics carrying object carrying the interception identification are selected again; monitoring the current logistics order and judging whether the quantity of abnormal logistics orders exceeds a preset value or not; if so, filtering the logistics carrying objects carrying the intercepting identification in a carrying object recommendation list pushed to the current merchant system, obtaining a user account corresponding to an abnormal logistics order and a non-delivery order of the user account, and adjusting the carrying object recommendation list corresponding to the non-delivery order according to logistics preference data of the user account.
In some embodiments, the adjusting the recommended list of carrier objects corresponding to the undelivered order according to the logistics preference data of the user account includes: obtaining total evaluation times larger than a satisfaction threshold value from historical logistics evaluation data of the user account; obtaining the evaluation times of each target logistics carrying object in a carrying object recommendation list corresponding to the non-delivery order from the total evaluation times; and adjusting the sequencing weight of each target logistics carrying object according to the evaluation frequency ratio of each target logistics carrying object, wherein the sequencing weight of the target logistics carrying object is the time standard reaching rate of the target logistics carrying object.
In some embodiments, the determining whether the abnormal volume of orders for logistics exceeds a preset value includes: judging whether any of the following conditions occur: in the current logistics orders, the actual logistics timeliness is delayed from the corresponding target logistics timeliness, and the logistics order percentage with the delay time exceeding the time threshold exceeds a first proportion; in the current logistics orders, the complaint logistics order occupation ratio is higher than the average complaint ratio of all logistics carrying objects on the corresponding logistics line, and the complaint ratio is higher than a second ratio; if yes, judging that the order quantity of the abnormal logistics exceeds a preset value.
In some embodiments, the obtaining the target stream aging of each stream line includes: screening out logistics lines with logistics single quantity exceeding a single quantity threshold value from the historical logistics data; calculating the average logistics aging of each logistics line; and obtaining the target logistics aging of each logistics line according to the average logistics aging of each logistics line and the distance of each logistics line.
In some embodiments, the screening out the logistics line of which the single amount of logistics exceeds the single amount threshold value comprises: acquiring the goods receiving and dispatching addresses of all the logistics lines with the address level of the third level address level; according to the logistics single amount of each goods receiving and dispatching address, obtaining the goods receiving and dispatching addresses of which the logistics single amount exceeds a single amount threshold value and the superior addresses of the goods receiving and dispatching addresses of which the logistics single amount does not exceed the single amount threshold value as target addresses; and taking the logistics line corresponding to the target address as the screened logistics line.
Another aspect of the present invention provides a logistics transportation object recommendation apparatus, including: the target aging acquisition module is configured to acquire target logistics aging of each logistics line according to historical logistics data; the recommendation list obtaining module is configured to calculate the time-efficiency standard-reaching rate of each logistics carrying object on each logistics line according to the target logistics time-efficiency of each logistics line, arrange the logistics carrying objects of each logistics line in a descending order according to the time-efficiency standard-reaching rate, and obtain a carrying object recommendation list of each logistics line; and the recommendation list pushing module is configured to push a carrier object recommendation list of the logistics route with the shipping address of each merchant system as a starting point to each merchant system.
Yet another aspect of the present invention provides an electronic device, comprising: a processor; a memory having executable instructions stored therein; wherein the executable instructions, when executed by the processor, implement the method for recommending logistics carrier objects according to any of the above embodiments.
Still another aspect of the present invention provides a computer-readable storage medium storing a program that when executed performs the method for recommending a logistics carrier object according to any of the above embodiments.
Compared with the prior art, the invention has the beneficial effects that:
calculating the aging standard-reaching rate of each logistics carrying object on the logistics line according to the target logistics aging of the integral aging condition of the marked logistics line, and analyzing the timeliness of each logistics carrying object; the logistics carrying objects of each logistics line are sorted according to timeliness from high to low, and the obtained sorting object carrying recommendation list is pushed to a corresponding merchant system, so that the logistics carrying objects are selected according to timeliness when merchants deliver goods, and shopping experience of users on an e-commerce platform is improved.
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 invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention. It is obvious that the drawings described below are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
Fig. 1 is a schematic diagram illustrating steps of a logistics carrier object recommendation method according to an embodiment of the invention;
fig. 2 is a schematic diagram illustrating steps of a method for recommending a logistics carrier object according to another embodiment of the present invention;
fig. 3 is a schematic diagram illustrating steps of a method for recommending a logistics carrier object according to another embodiment of the present invention;
fig. 4 is a schematic diagram illustrating a scenario of adjusting a carrier object recommendation list according to logistics preference data in an embodiment of the invention;
fig. 5 is a schematic block diagram of a physical distribution carrier object recommendation device according to an embodiment of the present invention;
FIG. 6 is a schematic diagram showing a structure of an electronic apparatus 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 embodiments 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 drawings are merely schematic illustrations of the invention 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.
In addition, the flow shown in the drawings is only an exemplary illustration, and not necessarily includes all the steps. For example, some steps may be divided, some steps may be combined or partially combined, and the actual execution sequence may be changed according to the actual situation. The use of "first," "second," and similar terms in the detailed description is not intended to imply any order, quantity, or importance, but rather is used to distinguish one element from another. It should be noted that features of the embodiments of the invention and of the different embodiments may be combined with each other without conflict.
Fig. 1 shows the main steps of the method for recommending a physical distribution carrier object in an embodiment, and referring to fig. 1, the method for recommending a physical distribution carrier object in the embodiment includes: in step S110, a target logistics aging of each logistics route is obtained according to the historical logistics data; in step S120, according to the target logistics time efficiency of each logistics route, calculating the time efficiency standard-reaching rate of each logistics carrying object on each logistics route, and arranging each logistics carrying object of each logistics route in descending order according to the time efficiency standard-reaching rate to obtain a carrying object recommendation list of each logistics route; in step S130, a carrier object recommendation list of the logistics route starting from the shipping address of each merchant system is pushed to each merchant system.
In the method for recommending the logistics carrying objects, the target logistics aging can mark the overall aging condition of the logistics lines, the aging standard-reaching rate of the corresponding logistics carrying object is calculated according to the target logistics aging of each logistics line, and the timeliness of each logistics carrying object on each logistics line is analyzed; sorting the logistics carrying objects of each logistics line from high to low according to timeliness, and pushing a carrying object recommendation list obtained by sorting to a corresponding merchant system, so that each merchant system receives the carrying object recommendation list of the logistics line from a delivery address to each receiving area; therefore, when the merchant delivers goods, the goods can be selected according to the timeliness order of the logistics carrying objects, the merchant is guided to select the logistics carrying objects with high timeliness, and the shopping experience of the user on the E-commerce platform is improved.
Each step of the logistics carrier object recommendation method is described in detail below with reference to specific examples.
In step S110, data in a preset period may be extracted from historical logistics data of the e-commerce platform in consideration of a periodic change rule of the express delivery in the logistics operation scene. For example, historical logistics data of the past week is extracted as basic data for calculating the target logistics aging of each logistics route. The e-commerce platform can specifically obtain historical logistics data of each logistics line in the past week by combining logistics carrier objects of each order, namely logistics track information (including logistics nodes and corresponding time) pushed by a logistics company according to the receiving and dispatching addresses of all orders which are sent in the past week.
The method is suitable for the periodic change rule of the express delivery quantity in the logistics operation scene, the carrier object recommendation list of each logistics route is updated and calculated every other preset period and pushed to the corresponding merchant system, and therefore the evaluation accuracy of the timeliness level of each logistics carrier object is improved.
The process of obtaining the target logistics aging of each logistics route according to the historical logistics data specifically comprises the following steps: screening logistics lines with logistics single quantity exceeding a single quantity threshold value from historical logistics data; calculating the average logistics aging of each logistics line; and obtaining the target logistics aging of each logistics line according to the average logistics aging of each logistics line and the distance of each logistics line.
The process of screening out the logistics line with the logistics single amount exceeding the single amount threshold specifically comprises the following steps: acquiring the goods receiving and dispatching addresses of all the logistics lines with the address level of the third level address level; according to the logistics single amount of each goods receiving and dispatching address, obtaining the goods receiving and dispatching addresses of which the logistics single amount exceeds a single amount threshold value and the superior addresses of the goods receiving and dispatching addresses of which the logistics single amount does not exceed the single amount threshold value as target addresses; and taking the logistics line corresponding to the target address as the screened logistics line.
In a background system of the e-commerce platform, address information is stored according to three levels of address levels, wherein the first level of address level corresponds to a provincial administrative district, the second level of address level corresponds to a local administrative district, and the third level of address level corresponds to a county administrative district. The E-commerce platform utilizes a big data technology to count the logistics single quantity of the receiving and dispatching addresses (including the delivery address and the receiving address, which are collectively called as the receiving and dispatching addresses) of each logistics line; if the logistics single amount of the receiving and dispatching address of a logistics line exceeds a single amount threshold value, the logistics line is reserved, namely the logistics line from the next three-level delivery address to the third-level receiving address is reserved; and if the logistics single quantity of the receiving address/the delivery address of a logistics line is smaller than the single quantity threshold value, the corresponding upper-level address is taken so as to ensure that the single quantity density of the formed logistics line is enough to calculate the accurate target logistics time effectiveness. For example, if the logistics single quantity of the delivery address of a logistics line is smaller than the single quantity threshold value, the upper level address of the delivery address, namely the second level address, is taken, and the formed logistics line is specifically the logistics line between the second level address and the third level address.
When calculating the target logistics aging of the screened logistics lines, calculating the average logistics aging of each logistics line according to the logistics aging of all logistics single quantity corresponding to the target address of each logistics line; the aging requirement is higher the closer the distance of the recombination flow lines, for example, the target flow aging of each flow line is obtained. The distances of the logistics lines from near to far can be specifically classified as: and in the remote areas of the first class, the same city, the second class, the third class, the fourth class, the fifth class and the sixth class, classifying according to the distance of each logistics line, giving a certain adjusting weight to the average logistics aging of each logistics line, and forming the target logistics aging of each logistics line. For example, the adjustment weights corresponding to the six categories of the distance are respectively: 0.8 of the first class, 0.9 of the second class, 1 of the third class, 1.1 of the fourth class, 1.2 of the fifth class and 1.3 of the sixth class.
The above-mentioned manner of calculating the target stream aging of each stream line is only an illustrative example, and in other embodiments, the appropriate stream line can be flexibly selected according to the needs, and the aging condition and distance of the combination stream line can be flexibly selected, so as to dynamically obtain the appropriate target stream aging.
In step S120, the aging level of each logistics carrier object on each logistics line is analyzed according to the overall aging condition of each logistics line. For example, the target logistics age of the past week of the logistics line P11 is 30 hours, and the logistics objects involved in the logistics line P11 include five logistics objects A, B, C, D and E. The logistics carrying object A has 100 logistics orders in the past week, wherein the logistics aging of 90 logistics orders is less than or equal to 30 hours, and the aging standard reaching rate of the logistics carrying object A is 0.9; and the other logistics carrying objects (B-E) adopt a similar mode, and calculate respective time standard reaching rate according to the logistics order proportion of which the logistics time efficiency is superior to that of the target logistics time efficiency in the past week. For example, the effective standard-reaching rates of the logistics carriers a to E on the finally obtained logistics route P11 are respectively: 90%, 60%, 80%, 70%, 50%; the recommended list of the carrier objects of the logistics route P11 obtained according to the chronological order of superiority and inferiority is: the physical distribution object A, the physical distribution object C, the physical distribution object D, the physical distribution object B and the physical distribution object E.
In step S130, the merchant system is specifically a system in which the merchant performs operations such as order billing and shipping, for example, the system includes a merchant management system, an electronic order billing system, and the like, and pushes the recommended list of the carrying objects of each logistics route to the corresponding merchant system, so that each merchant system receives the recommended list of the carrying objects of the logistics route from its shipping address to each receiving area. Therefore, the logistics carrying objects can be selected according to the timeliness when the merchants deliver goods, the merchants are guided to select the logistics carrying objects with high timeliness, and the shopping experience of users on the E-commerce platform is improved.
In one embodiment, the merchant may also query the logistics carrying object in its merchant system according to the logistics route, and then the background system of the e-commerce platform automatically recommends the carrying object recommendation list corresponding to the logistics route to the merchant, so as to guide the merchant to select the head logistics company with good timeliness on the logistics route.
Furthermore, besides pushing the recommended list of the carrying objects to the merchant system periodically, the operation of selecting the logistics carrying objects of the merchant system is monitored, and prompt responses are timely made when the merchant selects the logistics carrying objects with the time efficiency not up to the standard.
Specifically, referring to fig. 2, in this embodiment, the method for recommending a logistics carrier object further includes: step S210, in response to a selection request for a recommended list of the logistics carrying objects, determining whether the selected logistics carrying objects carry the interception identifier. In the object carrying recommendation list, at least a plurality of final logistics carrying objects carry interception marks; taking the above recommendation list of the logistics route P11 as an example, the last logistics objects B and E carry the interception identifiers. In the carrier object recommendation list of the logistics route P11, if the merchant selects any of the logistics carrier objects A, C and D, the process can proceed to normal billing/shipping and other processes, for example, printing an electronic receipt to generate shipping information; and if the merchant selects the logistics carrying object B or E with the interception identifier, executing step S220, intercepting the selection request, and pushing a carrying object replacement prompt to the merchant system initiating the selection request to prompt the merchant to reselect the logistics carrying object with better timeliness.
And judging whether the aging of the logistics carrying objects reaches the standard or not, and monitoring the logistics state of each logistics carrying object in real time to judge whether the corresponding logistics carrying object has a major logistics problem or not before the next updating of the logistics carrying object recommendation list except that the logistics carrying object ranked at the end in the carrying object recommendation list of each logistics line is regarded as not reaching the standard according to the aging standard-reaching rate.
Specifically, in one embodiment, the carrier object recommendation list is updated and pushed every preset period; the logistics carrier object recommendation method further comprises the following steps: monitoring whether logistics nodes of the logistics carrying objects are abnormal or not in a preset period between two updating and pushing processes, if so, obtaining an abnormal logistics line where the abnormal logistics nodes are located, and adding an interception identification to the logistics carrying object corresponding to the abnormal logistics node in a carrying object recommendation list of the abnormal logistics line. Wherein, whether the logistics node of each logistics carrying object is abnormal is monitored, and the method specifically comprises the following steps: monitoring the quantity of incoming and outgoing goods of each logistics node of each logistics carrying object; and when the difference of the piece feeding quantity and the piece discharging quantity of a logistics node in the continuous preset time reaches the preset difference, judging that the logistics node is abnormal.
The e-commerce platform can monitor each logistics node according to logistics track information pushed by each logistics carrying object by using a real-time computing technology, if the piece inlet quantity of a logistics node is more than n times (e.g. 3 times) of the piece outlet quantity of the logistics node continuously for multiple days (e.g. 2 days), the logistics node is judged to be abnormal, and the logistics carrying object corresponding to the abnormal logistics node is identified as not reaching the standard in the carrying object recommendation list of the abnormal logistics line where the abnormal logistics node is located.
In a specific scene, when a merchant clicks 'get electronic bill number' in an electronic bill ordering system of the merchant, a carrier object recommendation list of a logistics line of a receiving area corresponding to a delivery address and an order of the merchant is automatically popped, an interception mark is marked on a logistics carrier object which is in the last order of timeliness and has a major logistics problem in the carrier object recommendation list, the merchant can be prevented from selecting, and if the merchant selects a logistics carrier object which does not reach the standard in timeliness, a selection request is intercepted and a prompt is sent to remind the merchant of replacing a logistics company with better timeliness.
In one embodiment, if a merchant puts a decision on selecting a logistics carrying object with the non-standard aging, the e-commerce platform performs full-flow monitoring on the logistics orders of the logistics carrying object with the non-standard aging, and once the logistics orders cause a serious aging problem, the e-commerce platform punishes the merchant on one hand to restrict subsequent logistics object selection behaviors of the merchant and compensates users with damaged aging benefits on the other hand to improve shopping experience of the e-commerce platform.
Specifically, referring to fig. 3, in this embodiment, the method for recommending a logistics carrier object further includes: step S310, after the receiving prompt for replacing the object to be carried is obtained, the current merchant system and the current logistics order of the logistics object to be carried with the interception mark are selected again; step S320, monitoring the current logistics order and judging whether the quantity of the abnormal logistics order exceeds a preset value; if yes, executing step S330, filtering the logistics carrying objects carrying the intercepting marks from a carrying object recommendation list pushed to the current merchant system, obtaining a user account corresponding to the abnormal logistics order and a non-delivery order of the user account, and adjusting the carrying object recommendation list corresponding to the non-delivery order according to logistics preference data of the user account; if not, continuously monitoring, and in addition, when the times of selecting the logistics carrying objects with the time effectiveness not up to the standard by the merchants exceed a certain value, adjusting the judgment condition of the abnormal logistics order quantity so as to prompt the corresponding merchants to consider the interests of consumers when selecting the logistics carrying objects.
The process of judging whether the abnormal logistics order quantity exceeds a preset value specifically comprises the following steps: judging whether any of the following conditions occur: in the current logistics order, the actual logistics aging is delayed from the corresponding target logistics aging, and the logistics order percentage of the delay time exceeding the time threshold (the time threshold can be set according to needs, for example, set to m days, specifically, 2 days) exceeds a first proportion (the first proportion can be set according to needs, for example, set to s%, specifically, 30%); in the current logistics orders, the percentage of the complaint logistics orders is higher than the average complaint percentage of all the logistics carrying objects on the corresponding logistics line, and the higher percentage exceeds a second percentage (the second percentage can be set as required, for example, set as t%, specifically as 20%); if yes, judging that the order quantity of the abnormal logistics exceeds a preset value.
By tracking the full link aging of the current logistics order and the complaint condition of a user, the serious aging problem caused by selecting the logistics carrying object with the aging not reaching the standard is timely discovered. At this time, for a merchant who causes a serious aging problem, the logistics carrying objects carrying the interception identification can be filtered from the carrying object recommendation list pushed to the merchant, so that the merchant can only select the logistics carrying objects with the aging reaching the standard in a later period (for example, the next preset period or a plurality of next preset periods); meanwhile, other measures can be taken, such as increasing the service price of the merchant according to agreed terms, and carrying out penalty on the merchant so as to prevent the merchant from continuously selecting low-price logistics to damage the benefits of consumers and influence the shopping experience of users on the e-commerce platform.
In addition, for the damaged user with serious aging problem, the logistics of the subsequent orders of the damaged user is made to accord with the preference of the damaged user by adjusting the carrier object recommendation list corresponding to the non-delivery orders according to the logistics preference data, so that the shopping experience of the damaged user on the E-commerce platform is improved.
The process of adjusting the carrier object recommendation list corresponding to the non-delivery order according to the logistics preference data of the user account specifically comprises the following steps: obtaining total evaluation times larger than a satisfaction threshold value from historical logistics evaluation data of a user account; obtaining the evaluation times of each target logistics carrying object of a carrying object recommendation list corresponding to the non-delivery order from the total evaluation times; and adjusting the sequencing weight of each target logistics carrying object according to the evaluation frequency ratio of each target logistics carrying object, wherein the sequencing weight of each target logistics carrying object is the effective standard-reaching rate of the target logistics carrying object.
Fig. 4 shows a scenario in which the carrier object recommendation list is adjusted according to logistics preference data in an embodiment, in this embodiment, a logistics path corresponding to an unpipped order is taken as the aforementioned logistics path P11 as an example. It should be noted that the non-delivery order may include both generated orders and orders generated in a future period of time, and the embodiment is only exemplified by a non-delivery order corresponding to the logistics line P11, but not limited thereto.
Referring to fig. 4, in the initial recommended list 410 of the carrier objects corresponding to the non-shipped order, the sorting and the time compliance rates of the logistics carrier objects are respectively: the logistics carrying object A (the aging standard-reaching rate is 90%) > the logistics carrying object C (the aging standard-reaching rate is 80%) > the logistics carrying object D (the aging standard-reaching rate is 70%) > the logistics carrying object B (the aging standard-reaching rate is 60%) > the logistics carrying object E (the aging standard-reaching rate is 50%). The total evaluation times, namely the good evaluation times, which are greater than the satisfaction threshold value in the historical logistics evaluation data of the user account, such as the historical logistics evaluation data of the last half year, are 30 times in total; the number of good reviews of the logistics carrier object A, B, C, D, E is as follows: 6 times, 2 times, 10 times, 8 times and 0 times, and other physical distribution carrying objects are not target physical distribution carrying objects and are not calculated; the obtained good scores of the logistics carrying objects A to E are respectively as follows: 0.2, 0.07, 0.33, 0.27, 0. And finally, adding the favorable evaluation percentage of each target logistics carrying object and the effective standard-reaching rate of the target logistics carrying object to obtain the adjusted sequencing weight of each target logistics carrying object. After the adjustment, the logistic carrier object C has the highest ranking weight, and as shown in the adjusted carrier object recommendation list 420, the logistic carrier object C becomes the logistic carrier object with the optimal comprehensive timeliness, and the logistic carrier object C has the highest probability of being selected by the corresponding merchant.
Further, for the merchant corresponding to the non-shipped order, a corresponding subsidy may be given, for example, a behavior of selecting logistics carrier object C by the merchant may be subsidized to prompt the merchant to select a logistics carrier object that meets the user preference.
In summary, the logistics carrying object recommendation method provided by the invention adopts big data analysis and real-time calculation technology from the perspective of guaranteeing the shopping experience of the user on the e-commerce platform, analyzes the timeliness of the logistics carrying objects of each logistics line, forms a carrying object recommendation list according to timeliness, pushes the carrying object recommendation list to a corresponding merchant system, guides the merchant to select the logistics carrying objects with high timeliness when the merchant delivers goods, and prompts, monitors and restricts when the merchant selects the logistics carrying objects with substandard timeliness, so as to prevent the occurrence of a logistics event which damages the rights of consumers and improve the shopping experience of the user on the e-commerce platform.
The embodiment of the invention also provides a logistics carrying object recommendation device which can be used for realizing the logistics carrying object recommendation method described in any of the embodiments. The features and principles of the method for recommending physical distribution carrier objects described in any of the above embodiments can be applied to the following embodiments of the device for recommending physical distribution carrier objects. In the following embodiments of the physical distribution object recommendation device, the features and principles that have been elucidated with respect to physical distribution object recommendation will not be repeated.
Fig. 5 shows the main modules of the physical distribution carrier object recommendation device in the embodiment, and referring to fig. 5, the physical distribution carrier object recommendation device 500 in the embodiment includes: a target aging acquisition module 510 configured to acquire target logistics aging of each logistics route according to historical logistics data; the recommendation list obtaining module 520 is configured to calculate an efficiency standard-reaching rate of each logistics carrying object on each logistics route according to the target logistics efficiency of each logistics route, and arrange the logistics carrying objects of each logistics route in a descending order according to the efficiency standard-reaching rate to obtain a carrying object recommendation list of each logistics route; and a recommendation list pushing module 530 configured to push a carrier object recommendation list of the logistics route with the shipping address of each merchant system as the starting point to each merchant system.
Further, the device 500 for recommending logistics carrier objects may further include modules for implementing other process steps of the aforementioned embodiments of the method for recommending logistics carrier objects, and specific principles of each module may refer to the description of the aforementioned embodiments of the method for recommending logistics carrier objects, and will not be described again here.
As described above, the logistics carrier object recommendation device of the invention analyzes the timeliness of the logistics carrier object of each logistics line through big data analysis and real-time calculation technology, forms a carrier object recommendation list according to timeliness, pushes the list to a corresponding merchant system, guides the merchant to select the logistics carrier object with high timeliness when delivering goods, and prompts, monitors and restricts when the merchant selects the logistics carrier object with substandard timeliness, so as to prevent the occurrence of a logistics event damaging the rights and interests of consumers and improve the shopping experience of users on an e-commerce platform.
The embodiment of the present invention further provides an electronic device, which includes a processor and a memory, where the memory stores executable instructions, and when the executable instructions are executed by the processor, the method for recommending the logistics carrying object described in any of the above embodiments is implemented.
As described above, the electronic device of the present invention analyzes the timeliness of the logistics carrying objects of each logistics route through big data analysis and real-time calculation technology, forms a carrying object recommendation list according to timeliness, pushes the carrying object recommendation list to a corresponding merchant system, guides the merchant to select the logistics carrying object with high timeliness when shipping, and prompts, monitors and restricts when the merchant selects the logistics carrying object with substandard timeliness, so as to prevent the occurrence of a logistics event that damages the rights and benefits of consumers, and improve the shopping experience of users on the e-commerce platform.
Fig. 6 is a schematic structural diagram of an electronic device in an embodiment of the present invention, and it should be understood that fig. 6 only schematically illustrates various modules, and these modules may be virtual software modules or actual hardware modules, and the combination, the splitting, and the addition of the remaining modules of these modules are within the scope 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 include, but are not limited to: at least one processing unit 610, at least one memory unit 620, a bus 630 connecting the different platform components (including the memory unit 620 and the processing unit 610), a display unit 640, etc.
Wherein the storage unit stores a program code, which can be executed by the processing unit 610, so that the processing unit 610 executes the steps of the logistics carrier object recommendation method described in any of the above embodiments. For example, the processing unit 610 may perform the steps as shown in fig. 1 to 3.
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 programs/utilities 6204 including one or more 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, and the external devices 700 may be one or more of a keyboard, a pointing device, a bluetooth device, and the like. The external devices 700 enable a user to interactively communicate with the electronic device 600. The electronic device 600 may also be capable of communicating with one or more other computing devices, including routers, modems. 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 platforms, to name a few.
The embodiment of the present invention further provides a computer-readable storage medium for storing a program, and when the program is executed, the method for recommending a logistics carrier object described in any of the above embodiments is implemented. In some possible embodiments, the aspects of the present invention may also be implemented in the form of a program product including program code for causing a terminal device to perform the method for logistics carrier object recommendation described in any of the above embodiments when the program product is run on the terminal device.
As described above, the computer-readable storage medium of the present invention analyzes the timeliness of the logistics carrying objects of each logistics route through big data analysis and real-time calculation technology, forms a carrying object recommendation list according to timeliness, pushes the list to a corresponding merchant system, guides the merchant to select the logistics carrying objects with high timeliness when shipping, and prompts, monitors and restricts when the merchant selects the logistics carrying objects whose timeliness does not meet the standard, so as to prevent the occurrence of a logistics event that damages the rights of consumers and improve the shopping experience of users on the e-commerce platform.
Fig. 7 is a schematic structural diagram of a computer-readable storage medium of the present invention. 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 run 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 of readable storage media include, but are not limited to: 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.
A 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, such as through the internet using an internet service provider.
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 (12)
1. A logistics carrier object recommendation method is characterized by comprising the following steps:
obtaining target logistics timeliness of each logistics line according to historical logistics data;
calculating the time-efficiency standard-reaching rate of each logistics carrying object on each logistics route according to the target logistics time-efficiency of each logistics route, and arranging the logistics carrying objects of each logistics route in a descending order according to the time-efficiency standard-reaching rate to obtain a carrying object recommendation list of each logistics route;
and pushing a carrier object recommendation list of the logistics route with the delivery address of each merchant system as the starting point to each merchant system.
2. The logistics carrier object recommendation method of claim 1, further comprising:
responding to a selection request of a carrying object recommendation list, and judging whether the selected logistics carrying objects carry interception marks or not, wherein at least a plurality of last logistics carrying objects in the carrying object recommendation list carry the interception marks;
if yes, intercepting the selection request, and pushing a carrier object replacement prompt to a merchant system initiating the selection request.
3. The logistics carrier object recommendation method of claim 2, wherein the carrier object recommendation list is updated and pushed every preset period;
the logistics carrying object recommendation method further comprises the following steps:
monitoring whether logistics nodes of the logistics carrying objects are abnormal or not in a preset period between two updating and pushing processes, if so, obtaining an abnormal logistics line where the abnormal logistics nodes are located, and adding the interception identification to the logistics carrying object corresponding to the abnormal logistics node in a carrying object recommendation list of the abnormal logistics line.
4. The method for recommending logistics carrier objects of claim 3, wherein said monitoring whether the logistics node of each logistics carrier object is abnormal comprises:
monitoring the quantity of incoming and outgoing goods of each logistics node of each logistics carrying object;
and when the difference of the piece feeding quantity and the piece discharging quantity of a logistics node in the continuous preset time reaches a preset difference, judging that the logistics node is abnormal.
5. The logistics carrier object recommendation method of claim 2, further comprising:
after the prompt for receiving the change of the carrying object is obtained, the current merchant system and the current logistics order of the logistics carrying object carrying the interception identification are selected again;
monitoring the current logistics order and judging whether the quantity of abnormal logistics orders exceeds a preset value or not;
if so, filtering the logistics carrying objects carrying the intercepting identification in a carrying object recommendation list pushed to the current merchant system, obtaining a user account corresponding to an abnormal logistics order and a non-delivery order of the user account, and adjusting the carrying object recommendation list corresponding to the non-delivery order according to logistics preference data of the user account.
6. The method for recommending logistics carrier objects of claim 5, wherein said adjusting the recommended list of carrier objects corresponding to said non-shipped order according to the logistics preference data of said user account comprises:
obtaining total evaluation times larger than a satisfaction threshold value from historical logistics evaluation data of the user account;
obtaining the evaluation times of each target logistics carrying object in a carrying object recommendation list corresponding to the non-delivery order from the total evaluation times;
and adjusting the sequencing weight of each target logistics carrying object according to the evaluation frequency ratio of each target logistics carrying object, wherein the sequencing weight of the target logistics carrying object is the time standard reaching rate of the target logistics carrying object.
7. The logistics carrier object recommendation method of claim 5, wherein said determining whether the abnormal logistics order amount exceeds a preset value comprises:
judging whether any of the following conditions occur:
in the current logistics orders, the actual logistics timeliness is delayed from the corresponding target logistics timeliness, and the logistics order percentage with the delay time exceeding the time threshold exceeds a first proportion;
in the current logistics orders, the complaint logistics order occupation ratio is higher than the average complaint ratio of all logistics carrying objects on the corresponding logistics line, and the complaint ratio is higher than a second ratio;
if yes, judging that the order quantity of the abnormal logistics exceeds a preset value.
8. The logistics carrier object recommendation method of claim 1, wherein said obtaining a target logistics age for each logistics route comprises:
screening out logistics lines with logistics single quantity exceeding a single quantity threshold value from the historical logistics data;
calculating the average logistics aging of each logistics line;
and obtaining the target logistics aging of each logistics line according to the average logistics aging of each logistics line and the distance of each logistics line.
9. The logistics carrier object recommendation method of claim 8, wherein said screening out logistics circuits for which a single amount of logistics exceeds a single amount threshold comprises:
acquiring the goods receiving and dispatching addresses of all the logistics lines with the address level of the third level address level;
according to the logistics single amount of each goods receiving and dispatching address, obtaining the goods receiving and dispatching addresses of which the logistics single amount exceeds a single amount threshold value and the superior addresses of the goods receiving and dispatching addresses of which the logistics single amount does not exceed the single amount threshold value as target addresses;
and taking the logistics line corresponding to the target address as the screened logistics line.
10. A physical distribution carrier object recommendation device, comprising:
the target aging acquisition module is configured to acquire target logistics aging of each logistics line according to historical logistics data;
the recommendation list obtaining module is configured to calculate the time-efficiency standard-reaching rate of each logistics carrying object on each logistics line according to the target logistics time-efficiency of each logistics line, arrange the logistics carrying objects of each logistics line in a descending order according to the time-efficiency standard-reaching rate, and obtain a carrying object recommendation list of each logistics line;
and the recommendation list pushing module is configured to push a carrier object recommendation list of the logistics route with the shipping address of each merchant system as a starting point to each merchant system.
11. An electronic device, comprising:
a processor;
a memory having executable instructions stored therein;
wherein the executable instructions, when executed by the processor, implement the logistics carrier object recommendation method of any of claims 1-9.
12. A computer-readable storage medium storing a program, wherein the program is configured to implement the logistics carrier object recommendation method of any one of claims 1 to 9 when executed.
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