CN113743854A - Logistics order generation method and device and storage medium - Google Patents
Logistics order generation method and device and storage medium Download PDFInfo
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Abstract
The disclosure provides a logistics order generation method, a logistics order generation device and a storage medium, and relates to the technical field of logistics. The logistics order generation method disclosed by the invention comprises the following steps: acquiring attribute information of an order to be generated, wherein the attribute information comprises the size, the weight and the distribution address of an article to be conveyed; according to the attribute information, determining a candidate logistics strategy set which accords with the attribute information in the standard logistics strategy; determining a logistics strategy which is opened by a user to which an order to be generated belongs in the candidate logistics strategy set, taking the logistics strategy as an adaptive logistics strategy, and sequencing according to a logistics strategy adaptation rule of the user; and selecting a logistics strategy according to the adaptive logistics strategy and the sequence to generate an order. By the method, the automatic matching of the logistics strategy can be realized, the unification of the ordering entries is convenient to realize, the manual operation is reduced, and the automation degree of the logistics ordering is improved.
Description
Technical Field
The present disclosure relates to the field of logistics technologies, and in particular, to a method and an apparatus for generating a logistics order, and a storage medium.
Background
A great part of orders received by express companies in daily life come from merchants. Different merchants have different requirements on service scenarios, price endurance and timeliness. In order to meet the requirements of different merchants, different ordering interfaces are arranged on the platform, and logistics products corresponding to different strategies and prices are arranged for the merchants to select.
When a merchant places an order, a corresponding interface is selected according to a service scene, for example, an express service scene has an independent express logistics order receiving interface, an express service has an independent express logistics independent interface, and O2O (Online to Offline, combined with the internet) has an independent O2O city order receiving interface with a city rapid distribution service, and the merchant needs to dock different order placing interfaces according to different service modes. In addition, corresponding aging products are selected or appointed to be placed according to different requirements of aging.
Disclosure of Invention
One purpose of this disclosure is to improve the degree of automation of logistics ordering, reducing the complexity of human operations.
According to an aspect of some embodiments of the present disclosure, there is provided a logistics order generation method, including: acquiring attribute information of an order to be generated, wherein the attribute information comprises the size, the weight and the distribution address of an article to be conveyed; according to the attribute information, determining a candidate logistics strategy set which accords with the attribute information in the standard logistics strategy; determining a logistics strategy which is opened by a user to which an order to be generated belongs in the candidate logistics strategy set, taking the logistics strategy as an adaptive logistics strategy, and sequencing according to a logistics strategy adaptation rule of the user; and selecting a logistics strategy according to the adaptive logistics strategy and the sequence to generate an order.
In some embodiments, the logistics policy adaptation rules include a preference for a policy with a higher age, a preference for a policy with a lower price, or a user predetermined selection policy.
In some embodiments, determining, in the candidate logistics policy set, a logistics policy that has been activated by a user to which an order to be generated belongs, as an adapted logistics policy, and sorting according to a logistics policy adaptation rule of the user includes: acquiring a logistics strategy adaptation rule of a user to which an order to be generated belongs; acquiring the intersection of a logistics strategy set opened by a user and a standard logistics strategy set as an adaptive logistics strategy; and sorting the adapted logistics strategies according to the logistics strategy adaptation rules and the corresponding attributes of the adapted logistics strategies or according to the preset strategy priority, wherein the attributes of the adapted logistics strategies comprise prices and timeliness.
In some embodiments, the attribute information further includes at least one of a temperature tier requirement or a value added service, the value added service including at least one of a premium, a commission, a designated sign-in, a return of a sign-on, a short message notification, or a heavy upstairs.
In some embodiments, determining, from the attribute information, a set of candidate logistics strategies that meet the attribute information in the standard logistics strategies comprises: and screening out logistics strategies which can meet the requirements from the standard logistics strategies according to the weight and the size of the articles to be conveyed, the area to which the transceiving address belongs and the routing line between the transceiving address, and generating a candidate logistics strategy set.
In some embodiments, determining, from the attribute information, a set of candidate logistics strategies that meet the attribute information in the standard logistics strategies comprises: and screening out a logistics strategy which can meet the requirement from the standard logistics strategies according to at least one of temperature layer requirements or value-added services of the articles to be conveyed and routing lines between the weight, the size, the area to which the transceiving address belongs and the transceiving address, and generating a candidate logistics strategy set.
In some embodiments, selecting the logistics strategy according to the adapted logistics strategy and the order thereof, generating the order comprises: pushing the adaptive logistics strategies to a user according to the sorting sequence so that the user can select the adaptive logistics strategies; and generating an order according to the logistics strategy selected by the user.
In some embodiments, selecting the logistics strategy according to the adapted logistics strategy and the order thereof, generating the order comprises: and selecting the logistics strategy with the highest priority from the adaptive logistics strategies to generate an order.
In some embodiments, the logistics order generation method further comprises: and feeding back the generated order to the user.
In some embodiments, the order to be generated includes orders in B2C (Business to Customer), B2B (Business to Business), and O2O models.
According to an aspect of some embodiments of the present disclosure, there is provided a logistics order generation apparatus including: the system comprises an attribute acquisition unit, a distribution unit and a processing unit, wherein the attribute acquisition unit is configured to acquire attribute information of an order to be generated, and the attribute information comprises the size, the weight and a distribution address of an article to be conveyed; the standard strategy determining unit is configured to determine a candidate logistics strategy set which accords with the attribute information in the standard logistics strategies according to the attribute information; the adaptive strategy determining unit is configured to adapt a logistics strategy which is opened by a user and to which the order to be generated belongs and is determined in the candidate logistics strategy set to serve as an adaptive logistics strategy, and the logistics strategy is ordered according to a logistics strategy adaptation rule of the user; and the order generating unit is configured to select the logistics strategy according to the adapted logistics strategy and the sequence thereof and generate an order.
In some embodiments, the adaptation policy determining unit comprises: the rule obtaining subunit is configured to obtain a logistics strategy adaptation rule of a user to which the order to be generated belongs, wherein the logistics strategy adaptation rule comprises a strategy with higher priority selection time efficiency, a strategy with lower priority selection price or a preset strategy priority; the system comprises a strategy acquisition subunit, a strategy selection subunit and a strategy selection subunit, wherein the strategy acquisition subunit is configured to acquire an intersection of a logistics strategy set opened by a user and a standard logistics strategy set as an adaptive logistics strategy; and the sorting subunit is configured to sort the adapted logistics strategies according to the logistics strategy adaptation rules and the corresponding attributes of the adapted logistics strategies, or according to the preset strategy priorities, wherein the attributes of the adapted logistics strategies comprise prices and timeliness.
In some embodiments, the logistics order generation apparatus further comprises: and the order feedback unit is configured to feed back the generated order to the user.
According to an aspect of some embodiments of the present disclosure, there is provided a logistics order generation apparatus including: a memory; and a processor coupled to the memory, the processor configured to perform any of the above logistics order generation methods based on instructions stored in the memory.
According to an aspect of some embodiments of the present disclosure, a computer-readable storage medium is proposed, on which computer program instructions are stored, which instructions, when executed by a processor, implement the steps of any of the above logistics order generation methods.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this disclosure, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure and not to limit the disclosure. In the drawings:
fig. 1 is a flow chart of some embodiments of a logistics order generation method of the present disclosure.
Fig. 2 is a flow chart of further embodiments of the logistics order generation method of the present disclosure.
Fig. 3 is a schematic diagram of some embodiments of filtering an adaptive logistics policy in the logistics order generation method of the present disclosure.
Fig. 4A is a schematic diagram of some embodiments of a logistics order generation apparatus of the present disclosure.
Fig. 4B is a schematic diagram of some embodiments of an adaptation policy obtaining unit in the logistics order generation apparatus of the present disclosure.
Fig. 5 is a flowchart of operations of some embodiments of the logistics order generation apparatus of the present disclosure.
Fig. 6 is a schematic view of other embodiments of the logistics order generation apparatus of the present disclosure.
Fig. 7 is a schematic diagram of further embodiments of the logistics order generation apparatus of the present disclosure.
Detailed Description
The technical solution of the present disclosure is further described in detail by the accompanying drawings and examples.
The inventor finds that when a merchant places an order on a logistics platform, different order placing entries need to be called for different business modes, such as B2C, B2B and O2O, and the merchant is difficult to prioritize the time efficiency and the price in the order placing process, needs to select time efficiency products, and the system cannot degrade the products according to the desire of the merchant.
A flow chart of some embodiments of the logistics order generation method of the present disclosure is shown in fig. 1.
In step 101, attribute information of an order to be generated is acquired. In some embodiments, the attribute information includes the size, weight, and shipping address of the item to be shipped. In some embodiments, the attribute information also includes temperature layer requirements, such as cold chain distribution requirements. In some embodiments, the attribute information further includes value added services, which may include at least one of a premium, a collection, a designated sign-off, a receipt return, a short message notification, or a heavy upstairs.
In some embodiments, the order to be generated comprises orders in B2C, B2B and O2O modes, so that confirmation of the logistics strategy in multiple modes is realized through one set of systems.
In some embodiments, a drainage interface may be added at the order center, or an existing interface product type may be changed to non-filled, and the user order may or may not specify a policy type and mode.
In step 102, according to the attribute information, a candidate logistics strategy set meeting the attribute information is determined in the standard logistics strategy. In some embodiments, the standard logistics policy refers to a logistics rule pre-stored in the system, and different standard logistics policies differ in distribution requirements, distribution range, goods delivery range or service range. In some embodiments, each logistics product which can be selected by a user through different entrances in the related art is generated into a corresponding standard logistics strategy and is stored in a centralized manner to serve as a data base matched with attribute information of an order to be generated.
In step 103, determining a logistics strategy which is already opened by a user to which the order to be generated belongs in the candidate logistics strategy set, as an adaptive logistics strategy, and sorting according to a logistics strategy adaptation rule of the user.
In some embodiments, the user to whom the order to be generated is attributed may be the sender, or a merchant to which the sender is attributed. In some embodiments, the user to which the order to be generated is attributed is a payer of the logistics order.
In some embodiments, the logistics strategies opened by the user may be sorted according to the logistics strategy adaptation rules of the user, and then the intersection is taken with the candidate logistics strategy set, so that the obtained adapted logistics strategies are sorted according to the logistics strategy adaptation rules of the user. In some embodiments, the intersection of the logistics strategy opened by the user and the candidate logistics strategy set may be first taken, and after the adaptive logistics strategy is obtained, the sorting operation may be performed.
In step 104, a logistics strategy is selected according to the adapted logistics strategy and the sequence, and an order is generated.
By the method, after the information of the order to be generated is obtained, a feasible logistics strategy can be obtained through automatic matching, further, a logistics strategy which can be used by the user and is matched with the order is selected through the logistics strategy which is opened by the user, and the strategy which is most suitable for the user is selected from the logistics strategies, so that the automatic matching of the logistics strategies is realized, the unification of ordering entries is facilitated, manual operation is reduced, and the automation degree of logistics ordering is improved.
In some embodiments, as shown in fig. 1, the logistics order generation method can further include the step 105: and feeding back the generated order to the user. In some embodiments, order policy related information, such as charging conditions, expected delivery time, and the like, may also be fed back, so that the user can know the used logistics policy in time. In some embodiments, when the order status changes, the order status information is also sent to the user, thereby facilitating the user to know the order progress.
By the method, the user can confirm the generation condition of the order, avoid repeated ordering of the user, reduce the system pressure and avoid unnecessary processing cost.
A flow chart of further embodiments of the logistics order generation method of the present disclosure is shown in fig. 2.
In step 201, attribute information of an order to be generated is acquired. In some embodiments, the attribute information may be provided by the user to whom the order to be generated belongs, or may be generated based on purchase order information (including consignee information) on the platform and recorded item parameters (e.g., size, weight, etc.) on the platform.
In step 202, according to the weight and size of the article to be transported, the routing line between the area to which the transmitting and receiving address belongs and the transmitting and receiving address, the logistics strategy which can meet the requirements is screened out from the standard logistics strategies, and a candidate logistics strategy set is generated. In some embodiments, the attribute information of the order to be generated may further include at least one of a temperature layer or a value added service, and then a logistics policy that can meet the requirement may be screened from the standard logistics policies according to at least one of a temperature layer requirement or a value added service of the item to be transported, the weight, the size, the area to which the transceiving address belongs, and the routing line between the transceiving address, so as to generate the candidate logistics policy set.
In some embodiments, as shown by example in fig. 3:
8 logistics strategies are initially arranged in the system, and 7 and 8 strategies are screened out according to the weight of the articles to be conveyed; further, according to the size of the article to be conveyed, two strategies of 5 and 6 are screened out, and the remaining four logistics strategies of 1,2, 3 and 4 are further screened out.
According to the temperature requirement of the to-be-transported goods, if the goods need cold chain distribution but the logistics strategy does not support, or the goods do not need cold chain distribution but the logistics strategy is a cold chain, two strategies 3 and 4 are screened out, and the remaining 1 and 2 are selected. And further screening according to the value-added service requirements, wherein both the step 1 and the step 2 meet the requirements of the order to be generated.
Determining an area related to a receiving and sending address of an order to be generated, for example, whether the order is dispatched in Beijing city or not, and screening a logistics strategy through matching of the dispatching area; and planning a path according to the receiving and sending addresses, and screening a logistics strategy through matching of the path related region.
In fig. 3, by screening, the policies 1 and 2 are candidate logistics policies, and a candidate logistics policy set {1,2} is generated.
In step 203, a logistics policy adaptation rule of a user to which an order to be generated belongs is obtained, where the logistics policy adaptation rule includes time priority (a policy with higher time priority is selected), price priority (a policy with lower price priority is selected), or user-defined configuration. In some embodiments, the user-defined configuration may be an opened logistics policy priority preset by the user.
In step 204, an intersection of the logistics strategy set opened by the user and the standard logistics strategy set is obtained as an adaptive logistics strategy.
In step 205, under the condition that the logistics strategy adaptation rule is time-first, the adapted logistics strategies are sorted according to the time-efficiency of the adapted logistics strategies. And under the condition that the logistics strategy adaptation rule is price-first, sorting the adapted logistics strategies according to the charging standard of the adapted logistics strategies from low price to high price. In some embodiments, if the logistics policy adaptation rule is a predetermined policy priority configured by a user in a customized manner, the adapted logistics policy is sorted according to the predetermined policy priority.
In step 206, an order is generated according to the adapted logistics strategy and the sorting selected logistics strategy.
In some embodiments, the adapted logistics policy may be pushed to the user in a sorted order for the user to select; and generating an order according to the logistics strategy selected by the user, thereby improving the user controllability.
In some embodiments, the logistics strategy with the highest priority can be automatically selected from the adaptive logistics strategies to generate the order, so that the order generation efficiency is improved.
By the method, the problem that a user who signs a plurality of logistics strategies does not know which aging product to select to order when ordering is solved, the problem that a plurality of ordering inlets are butted in a multi-service mode is solved, and the system can automatically adapt the logistics strategies according to the adaptation rules of the user; in addition, the order generation failure when the preferred strategy of the user does not support the current order to be generated is avoided, the automatic degradation is realized according to the rule configured by the user, the strategy which is most suitable for the user is selected from the feasible strategies, and the success rate of the order generation is improved.
A schematic diagram of some embodiments of the logistics order generation apparatus of the present disclosure is shown in fig. 4A.
The attribute acquisition unit 401 can acquire attribute information of an order to be generated. In some embodiments, the attribute information includes the size, weight, and shipping address of the item to be shipped. In some embodiments, the attribute information further includes temperature requirements, such as the need for cold chain distribution (e.g., fresh ambient, chilled, frozen, or deep-frozen). In some embodiments, the attribute information further includes value added services, which may include at least one of a premium, a collection, a designated sign-off, a receipt return, a short message notification, or a heavy upstairs. In some embodiments, the attribute information may be provided by the user to whom the order to be generated belongs, or may be generated based on purchase order information (including consignee information) on the platform and recorded item parameters (e.g., size, weight, etc.) on the platform.
In some embodiments, the order to be generated comprises orders in B2C, B2B and O2O modes, so that confirmation of the logistics strategy in multiple modes is realized through one set of systems.
The standard policy determining unit 402 can determine a candidate logistics policy set meeting the attribute information in the standard logistics policy according to the attribute information. In some embodiments, the standard logistics policy refers to a logistics rule pre-stored in the system, and different standard logistics policies differ in distribution requirements, distribution range, goods delivery range or service range. In some embodiments, each logistics product which can be selected by a user through different entrances in the related art is generated into a corresponding standard logistics strategy and is stored in a centralized manner to serve as a data base matched with attribute information of an order to be generated.
The adaptation policy determining unit 403 can determine, in the candidate logistics policy set, a logistics policy that has been activated by a user to which the order to be generated belongs, as an adaptation logistics policy, and sort according to a logistics policy adaptation rule of the user.
The order generating unit 404 can generate an order according to the adapted logistics strategy and the sorting selection logistics strategy. In some embodiments, the adapted logistics policy may be pushed to the user in a sorted order for the user to select; and generating an order according to the logistics strategy selected by the user, thereby improving the user controllability. In some embodiments, the logistics strategy with the highest priority can be automatically selected from the adaptive logistics strategies to generate the order, so that the order generation efficiency is improved.
The device can obtain a feasible logistics strategy through automatic matching after obtaining the information of the order to be generated, further select the logistics strategy which can be used by the user and is matched with the order through the logistics strategy opened by the user, and select the strategy which is most suitable for the user from the logistics strategies, thereby realizing the automatic matching of the logistics strategies, being convenient for realizing the unification of ordering entries, reducing manual operation and improving the automation degree of the logistics ordering.
In some embodiments, as shown in fig. 4A, the logistics order generation apparatus may further include an order feedback unit 405 to feed back the generated order to the user. In some embodiments, order policy related information, such as charging conditions, expected delivery time, and the like, may also be fed back, so that the user can know the used logistics policy in time. In some embodiments, when the order status changes, the order status information is also sent to the user, thereby facilitating the user to know the order progress.
The system can enable the user to confirm the generation condition of the order, avoid repeated ordering by the user, reduce the pressure of the system and avoid unnecessary processing cost.
In some embodiments, as shown in fig. 4B, the adaptation policy determination unit 403 may include a rule acquisition subunit 431, a policy acquisition subunit 432, and an ordering subunit 433.
The rule obtaining subunit 431 can obtain a logistics policy adaptation rule of a user to which the order to be generated belongs, where the logistics policy adaptation rule includes time priority, price priority, or user-defined configuration. In some embodiments, the user-defined configuration may be an opened logistics policy priority preset by the user.
The policy obtaining subunit 432 can obtain an intersection of the logistics policy set that the user has opened and the standard logistics policy set, as an adaptive logistics policy.
The ordering subunit 433 can order the adapted logistics strategies according to the logistics strategy adaptation rules and the corresponding attributes of the adapted logistics strategies, or according to the predetermined strategy priorities, where the attributes of the adapted logistics strategies include price and time effectiveness. In some embodiments, if the logistics policy adaptation rule is configured by a user, the attribute of the adapted logistics policy includes the opened logistics policy priority.
The logistics order generation device avoids the failure of order generation when the preferred strategy of the user does not support the current order to be generated when the user places the order, realizes automatic degradation according to the rule configured by the user, selects the strategy which is most suitable for the user from the feasible strategies, and improves the success rate of order generation.
An operational flow diagram of some embodiments of the logistics order generation apparatus of the present disclosure is shown in fig. 5.
In part 501, after the system interface obtains the attribute information of the order to be generated, an adaptation layer is called to adapt to the logistics strategy. And the adaptation layer receives the attribute information and performs matching operation with the existing standard logistics strategy in the strategy center. If the standard logistics strategy cannot be adapted, the feedback is carried out through a system interface; and if the strategy is adapted to the standard logistics strategy, forming a strategy list, namely a candidate logistics strategy set.
At 502, a request is made to a configuration center for viewing logistics policy adaptation rules that are opened by a merchant according to an identity of a user, such as a merchant code of the user who is the merchant. The configuration center may be a center configured with a specific logistics policy and a logistics policy adaptation rule corresponding to a user. The logistics strategy adaptation rule can be a self-defined rule, or time efficiency priority, or price priority.
And if the business is not matched with the logistics strategy matching rule opened by the merchant, the matching is failed, and the unopened business of the user is fed back through the system interface.
And if the logistics strategy is adapted to the logistics strategy adaptation rule opened by the merchant, executing 503, 504 or 505 based on the adapted specific rule condition.
In case that it is determined that the logistics strategy adaptation rule is configured by the user, 503 is executed: and combining the logistics strategy set opened by the user with the candidate logistics strategy set to obtain an intersection. If the logistics strategy set opened by the user does not intersect with the candidate logistics strategy set, feeding back an order through a system interface to fail to generate, and no proper logistics strategy exists; if the intersection exists, sorting the logistics strategies in the intersection according to the logistics strategy adaptation rules (such as the logistics strategy priority defined by the user) of the user, and feeding back the logistics strategies through a system interface.
In case that the logistics strategy adaptation rule of the user is determined to be time-efficiency-first, executing 504: and combining the logistics strategy set opened by the user with the candidate logistics strategy set to obtain an intersection. If the logistics strategy set opened by the user does not intersect with the candidate logistics strategy set, feeding back an order through a system interface to fail to generate, and no proper logistics strategy exists; if the intersection exists, the logistics strategies in the intersection are sequenced according to the sequence from short to long consumed time of the logistics strategies, and the logistics strategies are fed back through a system interface.
In case that the logistics strategy adaptation rule of the user is determined to be price priority, executing 505: and combining the logistics strategy set opened by the user with the candidate logistics strategy set to obtain an intersection. If the logistics strategy set opened by the user does not intersect with the candidate logistics strategy set, feeding back an order through a system interface to fail to generate, and no proper logistics strategy exists; and if the intersection exists, sequencing the logistics strategies in the intersection according to the sequence of the logistics strategies from low price to high price, and feeding back through a system interface.
The logistics order generation device can use the upper-layer ordering interface of the system as an entrance and exit, call the adaptation layer, the strategy center and the configuration center to select the logistics strategy, meet the user requirements as much as possible, improve the success rate of order generation, improve the efficiency and the automation degree of order generation, reduce the operation requirements on users and improve the user friendliness.
A schematic structural diagram of an embodiment of the logistics order generation device of the present disclosure is shown in fig. 7. The logistics order generation apparatus includes a memory 601 and a processor 602. Wherein: the memory 601 may be a magnetic disk, flash memory, or any other non-volatile storage medium. The memory is used for storing the instructions in the corresponding embodiments of the logistics order generation method above. Processor 602 is coupled to memory 601 and may be implemented as one or more integrated circuits, such as a microprocessor or microcontroller. The processor 602 is configured to execute instructions stored in the memory, and can implement automatic matching of logistics strategies, thereby facilitating unification of ordering entries, reducing manual operations, and improving automation degree of ordering in logistics.
In one embodiment, as also shown in fig. 7, the logistics order generation apparatus 700 includes a memory 701 and a processor 702. Processor 702 is coupled to memory 701 by a BUS BUS 703. The logistics order generation apparatus 700 can be connected to an external storage apparatus 705 through a storage interface 704 for calling external data, and can be connected to a network or another computer system (not shown) through a network interface 706. And will not be described in detail herein.
In the embodiment, the data instruction is stored in the memory, and the instruction is processed by the processor, so that the automatic matching of the logistics strategy can be realized, the unification of the ordering entry is convenient to realize, the manual operation is reduced, and the automation degree of the logistics ordering is improved.
In another embodiment, a computer-readable storage medium has stored thereon computer program instructions which, when executed by a processor, implement the steps of the method in the corresponding embodiment of the logistics order generation method. As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, apparatus, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Thus far, the present disclosure has been described in detail. Some details that are well known in the art have not been described in order to avoid obscuring the concepts of the present disclosure. It will be fully apparent to those skilled in the art from the foregoing description how to practice the presently disclosed embodiments.
The methods and apparatus of the present disclosure may be implemented in a number of ways. For example, the methods and apparatus of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above unless specifically stated otherwise. Further, in some embodiments, the present disclosure may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.
Finally, it should be noted that: the above examples are intended only to illustrate the technical solutions of the present disclosure and not to limit them; although the present disclosure has been described in detail with reference to preferred embodiments, those of ordinary skill in the art will understand that: modifications to the specific embodiments of the disclosure or equivalent substitutions for parts of the technical features may still be made; all such modifications are intended to be included within the scope of the claims of this disclosure without departing from the spirit thereof.
Claims (14)
1. A method for generating a logistics order, comprising:
acquiring attribute information of an order to be generated, wherein the attribute information comprises the size, the weight and the distribution address of an article to be conveyed;
according to the attribute information, determining a candidate logistics strategy set which accords with the attribute information in a standard logistics strategy;
determining the logistics strategies opened by the user to which the order to be generated belongs in the candidate logistics strategy set as adaptive logistics strategies, and sorting according to the logistics strategy adaptation rules of the user;
and generating an order according to the adaptive logistics strategy and the sorting selection logistics strategy.
2. The method of claim 1, wherein the logistics policy adaptation rules comprise prioritizing a policy with higher age, prioritizing a policy with lower price, or pre-determined policy priority.
3. The method according to claim 1 or 2, wherein the determining, in the candidate logistics policy set, a logistics policy that has been opened by a user to which the order to be generated belongs as an adapted logistics policy, and the sorting according to a logistics policy adaptation rule of the user comprises:
acquiring a logistics strategy adaptation rule of a user to which an order to be generated belongs;
acquiring the intersection of the logistics strategy set opened by the user and the standard logistics strategy set as the adaptive logistics strategy;
and sorting the adapted logistics strategies according to the logistics strategy adaptation rules and the corresponding attributes of the adapted logistics strategies or according to preset strategy priorities, wherein the attributes of the adapted logistics strategies comprise prices and timeliness.
4. The method of claim 1, wherein the attribute information further comprises at least one of a temperature layer requirement or a value added service, the value added service comprising at least one of a premium, a commission, a designated sign-in, a return of a ticket, a short message notification, or a heavy upstairs.
5. The method of claim 1, wherein the determining, according to the attribute information, a candidate logistics policy set that meets the attribute information in a standard logistics policy comprises:
and screening out logistics strategies which can meet the requirements from the standard logistics strategies according to the weight and the size of the articles to be conveyed, the area to which the transceiving address belongs and the routing line between the transceiving address, and generating the candidate logistics strategy set.
6. The method of claim 4, wherein the determining, according to the attribute information, a candidate logistics policy set that meets the attribute information in a standard logistics policy comprises:
and screening out a logistics strategy which can meet the requirement from the standard logistics strategies according to at least one of temperature layer requirements or value-added services of the articles to be conveyed and routing lines between the weight, the size, the area to which the transceiving address belongs and the transceiving address, and generating the candidate logistics strategy set.
7. The method of claim 1, wherein selecting a logistics strategy according to the adapted logistics strategy and its order, generating an order comprises:
pushing the adaptive logistics strategies to a user according to a sorting sequence so that the user can select the adaptive logistics strategies; generating an order according to a logistics strategy selected by a user;
or the like, or, alternatively,
and selecting the logistics strategy with the highest priority from the adaptive logistics strategies to generate an order.
8. The method of claim 1 or 7, further comprising:
and feeding back the generated order to the user.
9. The method of claim 1, wherein the orders to be generated include business-to-customer B2C, business-to-business B2B, and offline O2O in combination with the internet schema.
10. A logistics order generation apparatus comprising:
the system comprises an attribute acquisition unit, a distribution unit and a processing unit, wherein the attribute acquisition unit is configured to acquire attribute information of an order to be generated, and the attribute information comprises the size, the weight and a distribution address of an article to be conveyed;
a standard strategy determining unit configured to determine a candidate logistics strategy set meeting the attribute information in a standard logistics strategy according to the attribute information;
the adaptive strategy determining unit is configured to adapt a logistics strategy which is opened by a user to which the order to be generated belongs and is determined in the candidate logistics strategy set to serve as an adaptive logistics strategy, and the logistics strategy is ordered according to a logistics strategy adaptation rule of the user;
and the order generating unit is configured to select a logistics strategy according to the adapted logistics strategy and the sequence thereof and generate an order.
11. The apparatus of claim 10, wherein the adaptation policy determination unit comprises:
the system comprises a rule obtaining subunit, a rule obtaining unit and a rule matching unit, wherein the rule obtaining subunit is configured to obtain a logistics strategy matching rule of a user to which an order to be generated belongs, and the logistics strategy matching rule comprises a strategy with higher priority selection time efficiency, a strategy with lower priority selection price or a preset strategy priority;
a strategy acquisition subunit configured to acquire an intersection of the logistics strategy set opened by the user and the standard logistics strategy set as the adapted logistics strategy;
and the sorting subunit is configured to sort the adapted logistics strategies according to the logistics strategy adaptation rules and the corresponding attributes of the adapted logistics strategies, wherein the attributes of the adapted logistics strategies comprise prices and timeliness.
12. The apparatus of claim 10, further comprising:
and the order feedback unit is configured to feed back the generated order to the user.
13. A logistics order generation apparatus comprising:
a memory; and
a processor coupled to the memory, the processor configured to perform the method of any of claims 1-9 based on instructions stored in the memory.
14. A computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the steps of the method of any one of claims 1 to 9.
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