CN112700195A - Abnormal order processing method and device - Google Patents
Abnormal order processing method and device Download PDFInfo
- Publication number
- CN112700195A CN112700195A CN202011633684.0A CN202011633684A CN112700195A CN 112700195 A CN112700195 A CN 112700195A CN 202011633684 A CN202011633684 A CN 202011633684A CN 112700195 A CN112700195 A CN 112700195A
- Authority
- CN
- China
- Prior art keywords
- information
- order information
- abnormal
- abnormal order
- order
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The embodiment of the invention relates to an abnormal order processing method and device, wherein the abnormal order processing method comprises the following steps: acquiring order information; judging whether the order information is abnormal order information or not; when the order information is abnormal order information, determining the type information of the abnormal order information; and performing corresponding processing according to the type information of the abnormal order information.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an abnormal order processing method and device.
Background
The statistical data of the Chinese logistics and purchasing union show that in 2018, the total logistics cost of China's society reaches 13.3 trillion yuan, which is increased by 9.8% compared with 2017, and the first three industries with higher logistics utilization rate and the occupation ratios thereof are 17.2% of cement, 13.1% of coal and 11.3% of chemical industry respectively, wherein the logistics utilization rate is equal to the ratio of the logistics cost to the sales cost, a logistics supply chain occupies an important position in the petrochemical industry, and a well-managed supply chain is favorable for improving profits, slowly releasing risks and acquiring competitive advantages. The realization of end-to-end supply chain optimization is a great source for obtaining benefits by utilizing an optimization technology, and is beneficial to realizing data-driven business optimization decision, so that cost advantage and business opportunity are obtained on the whole supply chain.
In the prior art, the flow direction of the commodity and the transaction information in the supply chain is one-way flowing from the supplier to the consumer. But for exception orders, it is generally only possible to wait or cancel transactions and not to process differently for different types of exception orders.
Disclosure of Invention
The purpose of the present invention is to solve the problem of how to handle the abnormal orders in the supply chain, which is the defect of the prior art.
In order to solve the above problem, a first aspect of the embodiments of the present invention provides an abnormal order processing method, where the abnormal order processing method includes:
acquiring order information;
judging whether the order information is abnormal order information or not;
when the order information is abnormal order information, determining the type information of the abnormal order information;
and performing corresponding processing according to the type information of the abnormal order information.
Preferably, the order information includes cargo type information, cargo quantity information, consignee information, order placement time information, required delivery time information, and required carrier information.
Preferably, the determining whether the order information is abnormal order information specifically includes:
determining whether the carrier confirms order receiving information in a preset time length or not according to the order issuing time information; when the order receiving information is confirmed by the carrier, determining the order information as abnormal order information; alternatively, the first and second electrodes may be,
determining whether a consignee corresponding to the consignee information receives goods matched with the goods type information and the goods quantity information or not according to the consignee information, the goods type information and the goods quantity information, and determining that the order information is abnormal order information when one or more of the goods type information and the goods quantity information are not matched; and/or the presence of a gas in the gas,
comparing the delivery time information of the current goods with the delivery time information required, and determining the order information as abnormal order information when the delivery time information of the current goods is not matched with the delivery time required; and/or the presence of a gas in the gas,
comparing the current carrier information of the cargo with the required carrier information, and determining that the order information is abnormal order information when the current carrier information of the cargo is not matched with the required carrier information.
Preferably, when the order information is abnormal order information, the determining of the type information of the abnormal order information specifically includes:
when the order receiving information is confirmed by the carrier, determining that the abnormal order information is first-type abnormal order information;
when one or more of the cargo type information and the cargo quantity information are not matched, determining that the abnormal order information is first abnormal order information;
when the delivery time information of the current goods is not matched with the required delivery time, determining that the abnormal order information is second abnormal order information;
and when the current carrier information of the goods is not matched with the required carrier information, determining that the abnormal order information is second abnormal order information.
Preferably, the method further comprises the following steps:
and generating the information of the order to be paid according to the abnormal order type information.
Preferably, the performing, according to the type information of the abnormal order information, corresponding processing specifically includes:
when the abnormal order information is first abnormal order information, re-dispatching the order information;
and when the abnormal order information is second abnormal order information, determining a punishment coefficient of the carrier, and calculating the transportation amount of the time according to the punishment coefficient so as to generate the order to be paid.
Preferably, the method further comprises the following steps:
receiving a login request message of a user terminal;
generating a login response message according to the login request message, wherein the login response message comprises login success or login failure;
and when the login response message is login failure, logging in again.
A second aspect of the embodiments of the present invention provides an abnormal order processing apparatus, including:
the processing module is used for acquiring order information;
judging whether the order information is abnormal order information or not;
when the order information is abnormal order information, determining the type information of the abnormal order information;
and performing corresponding processing according to the type information of the abnormal order information.
A third aspect of an embodiment of the present invention provides an electronic device, including: a memory, a processor, and a transceiver;
the processor is configured to be coupled to the memory, read and execute instructions in the memory, so as to implement the method steps of the first aspect;
the transceiver is coupled to the processor, and the processor controls the transceiver to transmit and receive messages.
A fourth aspect of embodiments of the present invention provides a computer program product comprising computer program code which, when executed by a computer, causes the computer to perform the method of the first aspect.
A fifth aspect of embodiments of the present invention provides a computer-readable storage medium storing computer instructions that, when executed by a computer, cause the computer to perform the method of the first aspect.
The embodiment of the invention provides an abnormal order processing method, an abnormal order processing device, electronic equipment, a computer program product and a computer readable storage medium, wherein the abnormal order is obtained and is correspondingly processed according to the type of the abnormal order information.
The abnormal order processing method provided by the embodiment of the invention can determine the type of the abnormal order information after the abnormal order information is judged, so that corresponding operations such as re-dispatching orders or continuously completing transportation and the like can be performed according to the type of the abnormal order, different processing aiming at different abnormal orders is realized, and the user experience on a supply chain is improved.
Drawings
Fig. 1 is a schematic diagram of an abnormal order processing method according to an embodiment of the present invention;
fig. 2 is a block diagram of an abnormal order processing apparatus according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The online technology is the basis of the digital transformation in the chemical industry, the big data analysis is the most important technology in the digital transformation process in the petroleum and petrochemical industry, and the digital technology is mainly applied in the scenes of safe production, supply chain optimization and energy consumption optimization.
Fig. 1 is a schematic diagram of an abnormal order processing method according to an embodiment of the present invention. The method is applied to an order processing server of a supply chain. The execution subject of the method may be a server having a computing function. As shown in fig. 1, the method mainly comprises the following steps:
The order information comprises cargo type information, cargo quantity information, consignee information, order issuing time information, required delivery time information and required carrier information. The cargo type information may be a category to which the cargo to be transported belongs, the cargo quantity information may be the number or weight of the cargo, the required delivery time information may be the time required for the delivery of the cargo, and the required vehicle information may be the vehicle required by the shipper.
Specifically, before obtaining the order information, the present application further includes: receiving a login request message sent by a user terminal; and verifying the login request message, and acquiring order information after the verification is passed.
The user terminal may be a user terminal on which the shipper logs in, including but not limited to a mobile phone, a desktop computer, and a tablet computer. The user can execute input operation on the user terminal, so that a user name and a password are input, the user terminal can send a login request message to the server after a login button is clicked, if the server verifies that the user is an authorized user, login is successful, if the user is an unauthorized user, a login failure prompt message is generated and sent to the user terminal, and after the user terminal displays the login failure prompt message, the user terminal can replace the user name and/or the password to log in again.
And step 120, judging whether the order information is abnormal order information.
Specifically, the abnormal order information may be determined according to the following steps.
In one example, whether the carrier confirms order receiving information exists within a preset time length can be determined according to order sending time information; and when the order receiving information is confirmed by the carrier, determining that the order information is abnormal order information.
For example, but not limited to, the preset time period may be 24 hours, if the order is received within 24 hours of order issuing, the order information may be determined to be normal order information, and if the order is not received after exceeding 24 hours, the order information may be determined to be abnormal order information.
In another example, it may be determined whether a consignee corresponding to the consignee information receives goods matching the goods type information and the goods quantity information according to the consignee information, the goods type information, and the goods quantity information, and when one or more of the goods type information and the goods quantity information do not match, the order information is determined to be abnormal order information.
One of the consignee information, the cargo type information and the cargo quantity information is not corresponding to the other, and the order information can be determined to be abnormal order information. For example, the order information may be determined to be abnormal order information if the receiver required in the order information is a, but the final receiver is B, or the goods type is C, the final goods type is D, or the goods quantity is E, and the final goods quantity is F. It should be noted that, in the consignee information mismatch, if the B consignee is the consignee specified by the a consignee, the order information may be regarded as non-abnormal order information, i.e., normal order information.
In yet another example, the delivery time information of the current good and the required delivery time information may be compared, and when the delivery time information of the current good and the required delivery time do not match, the order information may be determined to be abnormal order information.
When the required delivery time is x days, x hours and x minutes before, if the delivery time information of the goods is x days, x hours and x minutes after, the goods can be determined as abnormal order information. The required delivery time may be a specific time or a time period, which is not limited in the present application.
In yet another example, the vehicle information of the current cargo may be compared with the required vehicle information, and when the vehicle information of the current cargo and the required vehicle information do not match, the order information may be determined to be abnormal order information.
For example, if the drug carrier information of the cargo is a vehicle, but the current carrier of the cargo is a ship, it can be determined that the order is abnormal order information.
And step 130, when the order information is abnormal order information, determining the type information of the abnormal order information.
Wherein, for the abnormal order information, further processing can be performed to determine the type of the abnormal order information.
Specifically, an abnormal order database may be preset, in which abnormal orders are already classified, for example, the abnormal orders may be classified into abnormal orders that need to be re-assigned and abnormal orders that do not need to be re-assigned, and under each type, there are multiple standards of abnormal order information, so that the abnormal order information of the present application corresponds to the standards, and thus, which type of abnormal order the abnormal order is.
Specifically, in one example, when there is no carrier confirmation order taking information, it is determined that the abnormal order information is the first type of abnormal order information; and/or the presence of a gas in the gas,
when one or more of the goods type information and the goods quantity information do not match, determining that the abnormal order information is first abnormal order information.
In another example, when the delivery time information of the current goods and the required delivery time do not match, determining the abnormal order information as second abnormal order information; and/or the presence of a gas in the gas,
and when the current cargo carrier information does not match the required carrier information, determining the abnormal order information as second abnormal order information.
And 140, performing corresponding processing according to the type information of the abnormal order information.
In the application, a corresponding processing method is provided for each type of abnormal order information.
In one example, when the abnormal order information is the first abnormal order information, the order information is re-dispatched.
For the first abnormal order information, a processing method corresponding to the first abnormal order information may be queried, so as to perform processing according to a preset processing method, such as re-dispatching orders.
In another example, the to-be-paid order information is generated according to the abnormal order type information. And when the abnormal order information is the second abnormal order information, determining a punishment coefficient of the carrier, and calculating the transportation amount of the time according to the punishment coefficient so as to generate the order to be paid.
For the second abnormal order information, a processing method corresponding to the second abnormal order information may be queried, for example, a penalty coefficient of the carrier, for example, 0.1, is determined, so that the penalty for the carrier is subtracted from the estimated transportation amount to obtain the amount to be paid. The penalty coefficient of the carrier may be set according to actual experience, and the specific value is not limited in the present application.
According to the abnormal order processing method, after the abnormal order information is judged, the type of the abnormal order information can be determined, so that corresponding operations such as re-dispatching orders or continuously completing transportation can be performed according to the type of the abnormal order, different processing for different abnormal orders is achieved, and user experience on a supply chain is improved.
Fig. 2 is a block diagram of an abnormal order processing apparatus according to a second embodiment of the present invention, where the apparatus may be the server or the terminal described in the foregoing embodiment, or may be an apparatus that enables the server or the terminal to implement the method according to the second embodiment of the present application, for example, the apparatus may be a processor in the server or the terminal. As shown in fig. 2, the apparatus includes:
a processing module 201, configured to obtain order information;
judging whether the order information is abnormal order information or not;
when the order information is abnormal order information, determining the type information of the abnormal order information;
and performing corresponding processing according to the type information of the abnormal order information.
In a specific implementation manner provided by this embodiment, the order information includes cargo type information, cargo quantity information, consignee information, order issuing time information, required delivery time information, and required carrier information.
In a specific implementation manner provided in this embodiment, the processing module 201 is specifically configured to:
determining whether the carrier confirms order receiving information in a preset time length according to the order issuing time information; when the order receiving information is confirmed by the carrier, determining the order information as abnormal order information; alternatively, the first and second electrodes may be,
determining whether a consignee corresponding to the consignee information receives goods matched with the goods type information and the goods quantity information or not according to the consignee information, the goods type information and the goods quantity information, and determining that the order information is abnormal order information when one or more of the goods type information and the goods quantity information are not matched; and/or the presence of a gas in the gas,
comparing the delivery time information of the current goods with the delivery time information required to be delivered, and determining the order information as abnormal order information when the delivery time information of the current goods is not matched with the delivery time required to be delivered; and/or the presence of a gas in the gas,
and comparing the current cargo carrier information with the required carrier information, and determining that the order information is abnormal order information when the current cargo carrier information is not matched with the required carrier information.
In another specific implementation manner provided in this embodiment, the processing module 201 is specifically configured to:
when the order receiving information is confirmed by the carrier, determining that the abnormal order information is first-type abnormal order information;
when one or more of the cargo type information and the cargo quantity information are not matched, determining that the abnormal order information is first abnormal order information;
when the delivery time information of the current goods is not matched with the required delivery time, determining that the abnormal order information is second abnormal order information;
and when the current cargo carrier information does not match the required carrier information, determining the abnormal order information as second abnormal order information.
In another specific implementation manner provided in this embodiment, the processing module 201 is specifically configured to:
and generating the information of the order to be paid according to the abnormal order type information.
In another specific implementation manner provided in this embodiment, the processing module 201 is specifically configured to:
when the abnormal order information is the first abnormal order information, the order information is sent again;
and when the abnormal order information is the second abnormal order information, determining a punishment coefficient of the carrier, and calculating the transportation amount of the time according to the punishment coefficient so as to generate the order to be paid.
In another specific implementation manner provided in this embodiment, the processing module 201 is specifically configured to:
receiving a login request message of a user terminal;
generating a login response message according to the login request message, wherein the login response message comprises login success or login failure;
and when the login response message is login failure, logging in again.
The abnormal order processing device provided by the embodiment of the invention can execute the method steps in the method embodiment, and the implementation principle and the technical effect are similar, and are not described herein again.
It should be noted that the division of the modules of the above apparatus is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. For example, the determining module may be a processing element separately set up, or may be implemented by being integrated in a chip of the apparatus, or may be stored in a memory of the apparatus in the form of program code, and the function of the determining module is called and executed by a processing element of the apparatus. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), etc. For another example, when some of the above modules are implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor that can invoke the program code. As another example, these modules may be integrated together and implemented in the form of a System-on-a-chip (SOC).
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optics, Digital Subscriber Line (DSL)), or wireless (e.g., infrared, wireless, bluetooth, microwave, etc.). DVD), or semiconductor media (e.g., Solid State Disk (SSD)), etc.
Fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention. The electronic device may be the aforementioned server or terminal. As shown in fig. 3, the electronic device 300 may include: a processor 31 (e.g., CPU), a memory 32, a transceiver 33; the transceiver 33 is coupled to the processor 31, and the processor 31 controls the transceiving operation of the transceiver 33. Various instructions may be stored in memory 32 for performing various processing functions and implementing method steps performed by the electronic device of embodiments of the present invention. Preferably, the electronic device according to an embodiment of the present invention may further include: a power supply 34, a system bus 35, and a communication port 36. The system bus 35 is used to implement communication connections between the elements. The communication port 36 is used for connection communication between the electronic device and other peripherals.
The system bus mentioned in fig. 3 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The system bus may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus. The communication interface is used for realizing communication between the database access device and other equipment (such as a client, a read-write library and a read-only library). The Memory may include a Random Access Memory (RAM) and may also include a Non-Volatile Memory (Non-Volatile Memory), such as at least one disk Memory.
The Processor may be a general-purpose Processor, including a central processing unit CPU, a Network Processor (NP), and the like; but also a digital signal processor DSP, an application specific integrated circuit ASIC, a field programmable gate array FPGA or other programmable logic device, discrete gate or transistor logic, discrete hardware components.
It should be noted that the embodiment of the present invention also provides a computer-readable storage medium, which stores instructions that, when executed on a computer, cause the computer to execute the method and the processing procedure provided in the above-mentioned embodiment.
The embodiment of the invention also provides a chip for running the instructions, and the chip is used for executing the method and the processing process provided by the embodiment.
Embodiments of the present invention also provide a program product, which includes a computer program stored in a storage medium, from which the computer program can be read by at least one processor, and the at least one processor executes the methods and processes provided in the embodiments.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, a software module executed by a processor, or a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. An abnormal order processing method, characterized in that the abnormal order processing method comprises:
acquiring order information;
judging whether the order information is abnormal order information or not;
when the order information is abnormal order information, determining the type information of the abnormal order information;
and performing corresponding processing according to the type information of the abnormal order information.
2. The abnormal order handling method of claim 1, wherein the order information comprises cargo type information, cargo quantity information, consignee information, order placement time information, required delivery time information, and required carrier information.
3. The abnormal order processing method according to claim 2, wherein the determining whether the order information is abnormal order information specifically comprises:
determining whether the carrier confirms order receiving information in a preset time length or not according to the order issuing time information; when the order receiving information is confirmed by the carrier, determining the order information as abnormal order information; alternatively, the first and second electrodes may be,
determining whether a consignee corresponding to the consignee information receives goods matched with the goods type information and the goods quantity information or not according to the consignee information, the goods type information and the goods quantity information, and determining that the order information is abnormal order information when one or more of the goods type information and the goods quantity information are not matched; and/or the presence of a gas in the gas,
comparing the delivery time information of the current goods with the delivery time information required, and determining the order information as abnormal order information when the delivery time information of the current goods is not matched with the delivery time required; and/or the presence of a gas in the gas,
comparing the current carrier information of the cargo with the required carrier information, and determining that the order information is abnormal order information when the current carrier information of the cargo is not matched with the required carrier information.
4. The abnormal order processing method according to claim 3, wherein, when the abnormal order information is obtained, the determining the type information of the abnormal order information specifically includes:
when the order receiving information is confirmed by the carrier, determining that the abnormal order information is first-type abnormal order information;
when one or more of the cargo type information and the cargo quantity information are not matched, determining that the abnormal order information is first abnormal order information;
when the delivery time information of the current goods is not matched with the required delivery time, determining that the abnormal order information is second abnormal order information;
and when the current carrier information of the goods is not matched with the required carrier information, determining that the abnormal order information is second abnormal order information.
5. The exception order handling method of claim 4, further comprising, after said method:
and generating the information of the order to be paid according to the abnormal order type information.
6. The abnormal order processing method according to claim 5, wherein the performing corresponding processing according to the type information of the abnormal order information specifically comprises:
when the abnormal order information is first abnormal order information, re-dispatching the order information;
and when the abnormal order information is second abnormal order information, determining a punishment coefficient of the carrier, and calculating the transportation amount of the time according to the punishment coefficient so as to generate the order to be paid.
7. The exception order handling method of claim 1, wherein said method further comprises, prior to:
receiving a login request message of a user terminal;
generating a login response message according to the login request message, wherein the login response message comprises login success or login failure;
and when the login response message is login failure, logging in again.
8. An abnormal order processing apparatus, comprising:
the processing module is used for acquiring order information;
judging whether the order information is abnormal order information or not;
when the order information is abnormal order information, determining the type information of the abnormal order information;
and performing corresponding processing according to the type information of the abnormal order information.
9. An electronic device, comprising: a memory, a processor, and a transceiver;
the processor is used for being coupled with the memory, reading and executing the instructions in the memory to realize the method steps of any one of claims 1 to 7;
the transceiver is coupled to the processor, and the processor controls the transceiver to transmit and receive messages.
10. A computer-readable storage medium having stored thereon computer instructions which, when executed by a computer, cause the computer to perform the method of any of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011633684.0A CN112700195A (en) | 2020-12-31 | 2020-12-31 | Abnormal order processing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011633684.0A CN112700195A (en) | 2020-12-31 | 2020-12-31 | Abnormal order processing method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112700195A true CN112700195A (en) | 2021-04-23 |
Family
ID=75513727
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011633684.0A Pending CN112700195A (en) | 2020-12-31 | 2020-12-31 | Abnormal order processing method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112700195A (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105894360A (en) * | 2016-03-31 | 2016-08-24 | 百度在线网络技术（北京）有限公司 | Cheated order identification method, device and system |
| CN106296065A (en) * | 2016-07-21 | 2017-01-04 | 北京京东尚科信息技术有限公司 | The monitoring method of order correct-distribute based on GIS technology exception, Apparatus and system |
| CN110992072A (en) * | 2018-11-30 | 2020-04-10 | 北京嘀嘀无限科技发展有限公司 | Abnormal order prediction method and system |
-
2020
- 2020-12-31 CN CN202011633684.0A patent/CN112700195A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105894360A (en) * | 2016-03-31 | 2016-08-24 | 百度在线网络技术（北京）有限公司 | Cheated order identification method, device and system |
| CN106296065A (en) * | 2016-07-21 | 2017-01-04 | 北京京东尚科信息技术有限公司 | The monitoring method of order correct-distribute based on GIS technology exception, Apparatus and system |
| CN110992072A (en) * | 2018-11-30 | 2020-04-10 | 北京嘀嘀无限科技发展有限公司 | Abnormal order prediction method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US7490272B2 (en) | Method for validating the proper operation of a transactional management system | |
| CN110874778A (en) | Abnormal order detection method and device | |
| US20140250011A1 (en) | Account type detection for fraud risk | |
| CN111489174A (en) | E-commerce platform information interaction and transaction system | |
| CN109325744B (en) | Payment processing method, payment processing device, payment processing medium and electronic equipment | |
| CN109146248A (en) | Customs declaration risk management and control method, calculates equipment and storage medium at device | |
| CN104376452A (en) | System and method for managing payment success rate on basis of international card payment channel | |
| CN111028000B (en) | Commodity sales promotion method, device, equipment and storage medium | |
| CN112270501A (en) | Supply chain logistics cloud system based on software as a service (SaaS) | |
| CN112181628B (en) | Resource transfer method, device, system and electronic equipment | |
| CN112700195A (en) | Abnormal order processing method and device | |
| CN112633587A (en) | Logistics information processing method and device | |
| CN112677986A (en) | Vehicle energy consumption information monitoring processing method and device | |
| CN112766843A (en) | Carrier information registration method and device | |
| CN116151718A (en) | Overseas warehouse management system, method, equipment and storage medium | |
| CN112785220A (en) | Inventory information processing method and device | |
| CN112685479A (en) | Order visualization processing method and device | |
| CN111865726B (en) | Service message testing method, device, computer system and storage medium | |
| CN113298459A (en) | Order cross-border declaration method, system and device and computing equipment | |
| CN112766542A (en) | Goods picking reservation information processing method and device | |
| CN112700236A (en) | Order management method and device | |
| CN112686455A (en) | Logistics node arrangement method and device | |
| CN112668499A (en) | Intelligent vehicle security check information processing method and device | |
| CN112668975A (en) | Carrier information processing method and device | |
| CN112700143A (en) | Logistics scheduling information processing method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20210707 Address after: 255000 south-02, 4th floor, building 15, Instrument Industrial Park, 9009 Qinglongshan Road, high tech Zone, Zibo City, Shandong Province Applicant after: Energy chain logistics technology Co.,Ltd. Address before: 100025 building 7, Huitong Times Square, 1 yaojiayuan South Road, Chaoyang District, Beijing Applicant before: CHEZHUBANG (BEIJING) TECHNOLOGY Co.,Ltd. |
|
| TA01 | Transfer of patent application right |