CN115357596A - Electronic commerce order generation system and order generation method - Google Patents

Electronic commerce order generation system and order generation method Download PDF

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CN115357596A
CN115357596A CN202211037896.1A CN202211037896A CN115357596A CN 115357596 A CN115357596 A CN 115357596A CN 202211037896 A CN202211037896 A CN 202211037896A CN 115357596 A CN115357596 A CN 115357596A
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information
task information
order
order task
client terminal
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陈明香
余香花
林生本
钟惠心
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Aixiang Technology Shenzhen Co ltd
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Aixiang Technology Shenzhen Co ltd
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    • G06Q10/00—Administration; Management
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Abstract

The application relates to an electronic commerce order generation system and an order generation method, which comprises the following steps: marking order task information generated by a client terminal with a first pairing code, and marking supplementary information generated by a user in the client terminal about the order task information with a second pairing code; all the second pairing codes are paired with the first pairing codes one by establishing a data transmission model, so that the output channel outputs the supplementary information to the corresponding order task information; performing character recognition on the supplementary information to obtain a change requirement; covering corresponding information in corresponding order task information in the database according to the change requirement; therefore, the corresponding order task information in the database is automatically changed, manual screening and manual changing in huge orders are not needed, the workload of merchants is reduced, real-time updating is achieved, and the condition of mistaken sending caused by untimely modification is avoided.

Description

Electronic commerce order generation system and order generation method
Technical Field
The present application relates to the field of management systems, and in particular, to an electronic commerce order generation system and an electronic commerce order generation method.
Background
At present, electronic commerce greatly changes the lives of people, and particularly enables the lives of people to be more convenient, and known electronic commerce is realized on an electronic commerce platform through a computer, a smart phone, a PAD and the like, namely, the known electronic commerce is realized by inputting a website or opening an app, providing user information, submitting an order and paying after finding a needed commodity and a seller, and finally realizing online ordering.
In some related technologies, in a process of performing a business transaction by an e-commerce terminal, an e-commerce order is a final result of the business transaction, and an e-commerce order often includes various order item information in the process of the e-commerce transaction; in the process of processing a huge number of electronic commerce orders, the following problems exist;
(1) The corresponding scheduling and delivery of goods is required to be carried out according to the needs of the buyer, generally, the delivery of goods is scheduled after the records are carried out according to the remark information of the buyer and the information communicated by the buyer and the seller, but when the number of orders is huge, all the unified processing is carried out, and the workload for obtaining the information is huge; in addition, when a merchant knows the stock and the order quantity, the merchant needs to manually check the stock and the order quantity, and when the order quantity is increased rapidly, the stock cannot be effectively supplemented.
(2) After the order is generated, the conditions of wrong order address filling and wrong commodity type and quantity checking often exist, and a buyer enters a payment-on-behalf page or changes the payment-on-behalf page and the delivery-on-behalf page; the manual change is performed, and the merchant needs to find the order in the huge order and perform the manual change, obviously, the workload is quite large for the huge order quantity, so that the problem needs to be solved.
Disclosure of Invention
The embodiment of the application provides an electronic commerce order generation system and an electronic commerce order generation method, and aims to solve the problem of complex work caused by the fact that information of a huge order needs to be manually changed under the condition that the commodity category and quantity are selected wrongly in the related technology.
In a first aspect, a method for generating an e-commerce order includes the following steps:
marking first pairing codes on order task information generated by a client terminal, wherein the pairing codes of each order task information are different;
collecting all order task information of a client terminal server, and storing to form a database;
marking a second pairing code on supplementary information generated by the user in the client terminal about the order task information;
establishing a data transmission model, wherein the data transmission model is provided with an input channel and a plurality of output channels; each output channel is matched with a first pairing code which is used as an output secret key;
all the second pairing codes are paired with the first pairing codes one by one, so that the output channel outputs the supplementary information to the corresponding order task information;
performing character recognition on the supplementary information to obtain a change requirement; covering corresponding information in corresponding order task information in the database by using a data channel according to the change requirement;
and comparing the supplementary information with corresponding information in the covered order task information, if the supplementary information is the same as the covered order task information, finishing covering, and otherwise, returning to the step of screening out a first pairing code paired with the second pairing code in the database.
In some embodiments, after the step of covering the corresponding information in the corresponding order task information in the database according to the change requirement is completed, the method further includes the following steps:
automatically intercepting a first picture by corresponding the modified order task information to the original order task information of the client;
identifying the content of the modified order task information and forming character information;
sending the text information to a user by using the data channel, and simultaneously modifying order task information generated by a client terminal;
intercepting a second picture of the order task information after modification in the client terminal, putting the first picture and the second picture into the same folder, and recording the modification reason and the modification time; and then saved in the database as proof of the data.
In some embodiments, collecting all the order task information of the client terminal server comprises the following steps:
classifying all order task information to form a first order type and a second order type, wherein the first order type has remark information, and the second order type has no remark information;
performing character recognition on the first order type to obtain remark content of each order task information in the first order type;
packing and sending the remark content and corresponding order task information to an emergency processing unit;
the emergency processing unit is utilized to send the remark content to the feedback unit;
acquiring a feedback result of the feedback unit and adjusting the delivery sequence of the order task information; the feedback results include urgent delivery, expedited delivery, and general delivery.
In some embodiments, before marking the first pairing code for the order task information generated by the client terminal, the method comprises the following steps:
acquiring a trigger module signal, wherein the trigger module signal is a signal for entering an address selecting and filling section after finishing the checking of the commodity type and model;
when a trigger module signal is received, acquiring the real-time positioning of a client terminal and a goods receiving address stored in the client terminal;
identifying a receiving address stored in the client terminal to obtain position information, and matching and comparing the position information with the real-time positioning of the client terminal;
if the distance between the real-time positioning of the client terminal and the receiving address with the closest distance is less than or equal to the set distance, taking the close receiving address as the receiving address of the order task information;
and if the distance between the real-time positioning of the client terminal and the receiving address with the closest distance is greater than the set distance, entering a selection mode.
In some embodiments, when no delivery address exists in the client terminal, the real-time location of the client terminal is used as the delivery address of the order task information, and the step of filling in the information of the delivery person is carried out.
In some embodiments, after completion of the consignee information filling, the consignee information and the real-time positioning of the client terminal are stored, and the order task information is formed.
In some embodiments, after the step of covering the corresponding information in the corresponding order task information in the database according to the change requirement is completed, the method further includes the following steps:
calculating the selling quantity of all commodities according to the order task information in the database;
acquiring the stock quantity of all the commodities, and performing difference on the sold quantity and the stock quantity of each commodity to obtain a difference value;
if the difference value is smaller than the set value, an out-of-stock early warning is sent out, otherwise, the early warning is not sent out.
In a second aspect, an electronic commerce order generation system used in an electronic commerce order generation method is provided, which includes:
the first module is used for marking first pairing codes for the order task information generated by the client terminal, and the pairing codes of each order task information are different;
the second module is used for collecting all order task information of the client terminal server and storing the order task information to form a database;
a third module, which marks a second pairing code for the supplementary information generated by the user in the client terminal about the order task information;
a fourth module for establishing a data transmission model, wherein the data transmission model is provided with an input channel and a plurality of output channels; each output channel is matched with a first pairing code which is used as an output secret key;
the fifth module is used for pairing all the second pairing codes with the first pairing codes one by one so as to enable the output channel to output the supplementary information to the corresponding order task information; a sixth module, which is used for carrying out character recognition on the supplementary information to obtain a change requirement; and covering corresponding information in the corresponding order task information in the database by using a data channel according to the change requirement.
In some embodiments, the system further comprises an early warning module;
after the step of covering the corresponding information in the corresponding order task information in the database according to the change requirement is completed, the method also comprises the following steps:
calculating the selling quantity of all commodities by utilizing an early warning module according to order task information in the database;
acquiring the stock quantity of all the commodities, and performing difference on the sold quantity and the stock quantity of each commodity to obtain a difference value;
if the difference value is smaller than the set value, the early warning module sends out early warning sound of insufficient inventory, otherwise, the early warning module does not send out early warning sound.
In a third aspect, a computer-readable storage medium for performing an e-commerce order generation method is provided.
The beneficial effect that technical scheme that this application provided brought includes:
the embodiment of the application provides an electronic commerce order generation system and an order generation method, because order task information generated by a client terminal is marked with a first pairing code, and supplementary information generated by a user in the client terminal about the order task information is marked with a second pairing code; all the second pairing codes are paired with the first pairing codes one by establishing a data transmission model, so that the output channel outputs the supplementary information to the corresponding order task information; performing character recognition on the supplementary information to obtain a change demand, and covering corresponding information in corresponding order task information in the database according to the change demand; therefore, the corresponding order task information in the database is automatically changed, manual screening and manual changing in huge orders are not needed, the workload of merchants is reduced, real-time updating is achieved, and the condition of mistaken sending caused by untimely modification is avoided.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a flow chart illustrating a related art method for generating an e-commerce order;
FIG. 2 is a schematic diagram illustrating a related art process for generating a shipping address;
fig. 3 is a flowchart illustrating the operation of the related art electronic commerce order generation system.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all 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 application.
The embodiment of the application provides an electronic commerce order generation system and an electronic commerce order generation method, and aims to solve the problem of complex work caused by the fact that information of a huge order needs to be manually changed under the condition that the commodity category and quantity are selected wrongly in the related technology.
Referring to fig. 1, an electronic commerce order generation system and an order generation method thereof includes the following steps:
marking first pairing codes for order task information generated by a client terminal, wherein the pairing codes of each order task information are different;
collecting all order task information of a client terminal server, and storing to form a database; marking a second pairing code on supplementary information generated by the user in the client terminal about order task information;
establishing a data transmission model, wherein the data transmission model is provided with an input channel and a plurality of output channels; each output channel is matched with a first pairing code, and the first pairing code is used as an output key;
all the second pairing codes are paired with the first pairing codes one by one, so that the output channel outputs the supplementary information to the corresponding order task information; wherein OpenSSH is used to establish a data channel. OpenSSH is a free network tool that encrypts all data traffic (including passwords) and effectively eliminates interception, interception of connections, and other network level attacks, port forwarding is a function of OpenSSH that allows TCP/IP connections to remote machines through encrypted channel forwarding, port forwarding is transparent to the program, and a secure data channel can be established through it within the program.
The data transmission model can be used for establishing a special independent channel only by limiting and establishing an output channel without limiting an input channel, and the second pairing code is paired with the first pairing code one by one, so that the data transmission model can be directly connected with a database for transmission without a normal data transmission process, and the steps of collecting and transmitting transmission information by a client and collecting and transmitting by a client server are omitted. The efficiency of the process is accelerated.
Performing character recognition on the supplementary information to obtain a change requirement; covering corresponding information in corresponding order task information in the database by using a data channel according to the change requirement;
comparing the supplementary information with corresponding information in the covered order task information, if the supplementary information is the same as the covered order task information, finishing covering, and otherwise, returning to the step of screening out a first pairing code paired with a second pairing code in the database; the method ensures the correctness of the automatic change of the information and whether the information has deviation, because the phenomena of certain error probability, messy code phenomenon in the transmission process and the like exist in character recognition, a self-error correction function is realized, and the accuracy and the timeliness of data are ensured.
Through the steps, the order task information generated by the client terminal is marked with the first pairing code, and the supplementary information generated by the user in the client terminal about the order task information is marked with the second pairing code; all the second pairing codes are paired with the first pairing codes one by establishing a data transmission model, so that the output channel outputs the supplementary information to the corresponding order task information; carrying out character recognition on the supplementary information to obtain a change requirement; covering corresponding information in corresponding order task information in the database according to the change requirement; therefore, the corresponding order task information in the database is automatically changed, manual screening in huge orders and manual changing are not needed, the workload of merchants is reduced, real-time updating is realized, and the condition of mistaken sending caused by untimely modification is avoided.
In some preferred embodiments, there is a case that the order task information on the client terminal is not changed after the order task information of the merchant order system is changed, so the method further comprises the following steps:
after the step of covering the corresponding information in the corresponding order task information in the database according to the change requirement is completed, the method also comprises the following steps:
automatically intercepting a first picture by corresponding the modified order task information to the original order task information of the client;
identifying the content of the modified order task information and forming character information; sending the text information to a user by using a data channel, and simultaneously modifying order task information generated by a client terminal; intercepting a second picture of the order task information after modification in the client terminal, putting the first picture and the second picture into the same folder, and recording the modification reason and the modification time; and then saved in the database as data proof.
The data channel is utilized to achieve the purpose of simultaneous modification, the user is prevented from modifying, the operation of the user is omitted, the accuracy of the order is guaranteed, unnecessary disputes are avoided in the later period, namely, the contrast pictures formed by the first picture and the second picture form strong contrast, the contrast pictures are obvious when being used as evidences, and the data channel has persuasion and has constraint effects on merchants and buyers.
In some preferred embodiments, there are some cases where some orders have remarks, and it is generally necessary to arrange delivery accordingly according to the remark cases, however, the large order volume makes the work complicated. The following steps thus result:
classifying all order task information to form a first order type and a second order type, wherein the first order type has remark information, and the second order type has no remark information;
performing character recognition on the first order type to obtain remark content of each order task information in the first order type; packing and sending the remark content and corresponding order task information to an emergency processing unit; the emergency processing unit is utilized to send the remark content to the feedback unit;
acquiring a feedback result of the feedback unit, and adjusting the delivery sequence of the order task information; the feedback results include urgent delivery, expedited delivery, and general delivery.
Wherein the feedback unit is the result of the active judgment and selection performed by the staff.
In some preferred embodiments, there are situations where the receiving address is wrongly filled, and the receiving address often needs to be manually selected from existing addresses, and considering that the receiving address is generally the current address, and when the receiving address is newly added, the current address often needs to be refilled, and many times, the filling of the address is inaccurate, which results in difficulty in receiving the goods, based on the above situations, there are the following operations:
before marking the first pairing code for the order task information generated by the client terminal, the method comprises the following steps:
acquiring a trigger module signal, wherein the trigger module signal is a signal for entering an address selecting and filling section after finishing the checking of the commodity type and model;
when a trigger module signal is received, acquiring the real-time positioning of a client terminal and a goods receiving address stored in the client terminal;
identifying a receiving address stored in the client terminal to obtain position information, and matching and comparing the position information with the real-time positioning of the client terminal;
if the distance between the real-time positioning of the client terminal and the receiving address with the closest distance is less than or equal to the set distance, taking the close receiving address as the receiving address of the order task information;
and if the distance between the real-time positioning of the client terminal and the receiving address with the closest distance is greater than the set distance, entering a selection mode. The selection mode is a pop-up selection interface, and options in the selection interface comprise a receiving address stored in the client terminal and the real-time positioning information at the moment; clicking confirmation can be selected according to needs, and then the confirmed position information is used as a receiving address of the order task information.
The reason for selecting the mode setting is that there is a need to send the goods to a remote shipping address or to a current location.
Furthermore, when no receiving address exists in the client terminal, the real-time positioning of the client terminal is used as the receiving address of the order task information, and the step of filling in the information of the receiver is carried out, so that the problem that the current address is always required to be refilled when the receiving address is newly added, and the address filling is inaccurate in many times, which causes difficulty in receiving the commodity is solved. In this case, of course, the voice module may be enabled for voice input to address the situation where the shipping address is not the current location and requires manual input.
Further, after the completion of the filling of the consignee information, the consignee information and the real-time positioning of the client terminal are stored, order task information is formed, so that the problem that the newly added address needs to be additionally stored is solved, and the filled content is automatically stored.
In some preferred embodiments, there are cases of the order quantity being increased sharply and the stock quantity being insufficient, so after the step of covering the corresponding information in the corresponding order task information in the database according to the change requirement is completed, the following steps are further included:
calculating the selling quantity of all commodities according to the order task information in the database; acquiring the stock quantity of all the commodities, and subtracting the sold quantity and the stock quantity of each commodity to obtain a difference value;
if the difference is smaller than the set value, an early warning of insufficient inventory is sent out, otherwise, the early warning is not sent out.
The present application further provides a commodity customization service system, which includes:
the first module is used for marking first pairing codes for the order task information generated by the client terminal, and the pairing codes of each order task information are different;
the second module is used for collecting all order task information of the client terminal server and storing the order task information to form a database;
the third module is used for marking a second pairing code for the supplementary information generated by the user about the order task information in the client terminal;
a fourth module for establishing a data transmission model, wherein the data transmission model is provided with an input channel and a plurality of output channels; each output channel is matched with a first pairing code, and the first pairing code is used as an output key;
a fifth module, configured to pair all the second pairing codes with the first pairing codes one by one, so that the output channel outputs the supplemental information to the corresponding order task information; the sixth module is used for carrying out character recognition on the supplementary information to obtain a change requirement; and covering corresponding information in the corresponding order task information in the database by using a data channel according to the change requirement.
Further, the system also comprises an early warning module;
after the step of covering the corresponding information in the corresponding order task information in the database according to the change requirement is completed, the method also comprises the following steps:
calculating the selling quantity of all commodities by using an early warning module according to order task information in a database; acquiring the stock quantity of all the commodities, and performing difference on the sold quantity and the stock quantity of each commodity to obtain a difference value; if the difference value is smaller than the set value, the early warning module sends out early warning sound of insufficient inventory, otherwise, the early warning module does not send out early warning sound. Therefore, the merchant is reminded in time to replenish the goods.
The application also provides a computer-readable storage medium, which is used for executing the electronic commerce order generation method, so that the corresponding order task information in the database can be automatically changed, manual screening and manual changing in huge orders are not needed, the workload of merchants is reduced, real-time updating is realized, and the error condition caused by untimely modification is avoided.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable 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 application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. 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. In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory. The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both permanent and non-permanent, removable and non-removable media, may implement the information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data.
Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave. It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional identical elements in the process, method, article, or apparatus comprising the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein. The above are merely examples of the present application and are not intended to limit the present application. As will be apparent to those skilled in the art,
various modifications and changes may be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
In the description of the present application, it should be noted that the terms "upper", "lower", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, which are only for convenience in describing the present application and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and operate, and thus, should not be construed as limiting the present application. Unless expressly stated or limited otherwise, the terms "mounted," "connected," and "coupled" are to be construed broadly and encompass, for example, both fixed and removable coupling as well as integral coupling; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
It is noted that, in this application, relational terms such as "first" and "second," and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising one of 8230; \8230;" 8230; "does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
The above description is merely exemplary of the present application and is presented to enable those skilled in the art to understand and practice the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. An electronic commerce order generation method is characterized by comprising the following steps:
marking first pairing codes for order task information generated by a client terminal, wherein the pairing codes of each order task information are different;
collecting all order task information of a client terminal server, and storing to form a database;
marking a second pairing code on supplementary information generated by the user in the client terminal about the order task information;
establishing a data transmission model, wherein the data transmission model is provided with an input channel and a plurality of output channels; each output channel is matched with a first pairing code, and the first pairing code is used as an output key;
all the second pairing codes are paired with the first pairing codes one by one, so that the output channel outputs the supplementary information to the corresponding order task information;
performing character recognition on the supplementary information to obtain a change requirement; covering corresponding information in corresponding order task information in the database by using a data channel according to the change requirement;
and comparing the supplementary information with corresponding information in the covered order task information, if the supplementary information is the same as the covered order task information, finishing covering, and otherwise, returning to the step of screening out a first pairing code paired with the second pairing code in the database.
2. The method of generating an e-commerce order as claimed in claim 1, further comprising the following steps after the step of overwriting the corresponding information in the corresponding order task information in the database according to the change requirement is completed:
automatically intercepting a first picture by corresponding the modified order task information to the original order task information of the client;
identifying the content of the modified order task information and forming character information;
sending the text information to a user, and simultaneously modifying order task information generated by a client terminal;
intercepting a second picture of the modified order task information in the client terminal, putting the first picture and the second picture into the same folder, and recording modification reasons and modification time; and then saved in the database as proof of the data.
3. The electronic commerce order generation method of claim 1, wherein collecting all order task information of the client terminal server comprises the steps of:
classifying all order task information to form a first order type and a second order type, wherein the first order type has remark information, and the second order type has no remark information;
performing character recognition on the first order type to obtain remark content of each order task information in the first order type;
packing and sending the remark content and corresponding order task information to an emergency processing unit;
the emergency processing unit is utilized to send the remark content to the feedback unit;
acquiring a feedback result of the feedback unit and adjusting the delivery sequence of the order task information; the feedback results include urgent delivery, and general delivery.
4. The electronic commerce order generation method of claim 1, wherein before marking the order task information generated by the client terminal with the first pairing code, comprising the steps of:
acquiring a trigger module signal, wherein the trigger module signal is a signal for entering an address selecting and filling section after finishing the checking of the commodity type and model;
when a trigger module signal is received, acquiring the real-time positioning of a client terminal and a receiving address stored in the client terminal;
identifying a receiving address stored in the client terminal to obtain position information, and matching and comparing the position information with the real-time positioning of the client terminal;
if the distance between the real-time positioning of the client terminal and the receiving address with the closest distance is less than or equal to the set distance, taking the close receiving address as the receiving address of the order task information;
and if the distance between the real-time positioning of the client terminal and the receiving address with the closest distance is greater than the set distance, entering a selection mode.
5. The electronic commerce order generation method of claim 4, wherein:
and when no receiving address exists in the client terminal, the real-time positioning of the client terminal is used as the receiving address of the order task information, and the step of filling in the information of the receiver is carried out.
6. The electronic commerce order generation method of claim 5 wherein:
and after finishing the filling of the consignee information, storing the consignee information and the real-time positioning of the client terminal, and forming the order task information.
7. The electronic commerce order generation method of claim 6 wherein:
after the step of covering the corresponding information in the corresponding order task information in the database according to the change requirement is completed, the method also comprises the following steps:
calculating the selling quantity of all commodities according to the order task information in the database;
acquiring the stock quantity of all the commodities, and subtracting the sold quantity and the stock quantity of each commodity to obtain a difference value;
if the difference is smaller than the set value, an early warning of insufficient inventory is sent out, otherwise, the early warning is not sent out.
8. An electronic commerce order generation system used for the electronic commerce order generation method as claimed in any one of claims 1 to 7, comprising:
the first module is used for marking first pairing codes for the order task information generated by the client terminal, and the pairing codes of each order task information are different;
the second module is used for collecting all order task information of the client terminal server and storing the order task information to form a database;
a third module, which marks a second pairing code for the supplementary information generated by the user about the order task information in the client terminal;
a fourth module for establishing a data transmission model, wherein the data transmission model is provided with an input channel and a plurality of output channels; each output channel is matched with a first pairing code, and the first pairing code is used as an output key;
the fifth module is used for pairing all the second pairing codes with the first pairing codes one by one so as to enable the output channel to output the supplementary information to the corresponding order task information;
a sixth module, which is used for carrying out character recognition on the supplementary information to obtain a change requirement; and covering corresponding information in the corresponding order task information in the database by using a data channel according to the change requirement.
9. The electronic commerce order generation system of claim 8, wherein:
the early warning module is also included;
after the step of covering the corresponding information in the corresponding order task information in the database according to the change requirement is completed, the method further comprises the following steps:
calculating the selling quantity of all commodities by using an early warning module according to the order task information in the database;
acquiring the stock quantity of all the commodities, and performing difference on the sold quantity and the stock quantity of each commodity to obtain a difference value;
if the difference is smaller than the set value, the early warning module sends out early warning sound of insufficient inventory, otherwise, the early warning sound is not sent out.
10. A computer-readable storage medium, characterized in that: the computer-readable storage medium for performing the method of electronic commerce ticket generation of any one of claims 1-7.
CN202211037896.1A 2022-08-26 2022-08-26 Electronic commerce order generation system and order generation method Pending CN115357596A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116991466A (en) * 2023-07-27 2023-11-03 深圳市慧聚数字软件运营有限公司 E-commerce-based client software configuration method, device and server

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104021349A (en) * 2014-04-03 2014-09-03 福建伊时代信息科技股份有限公司 Network evidence beforehand preservation method and preservation device
CN106127549A (en) * 2016-06-17 2016-11-16 杭州笛佛软件有限公司 E-commerce order management method and system
CN109087160A (en) * 2018-06-15 2018-12-25 长沙市到家悠享家政服务有限公司 Order processing method, apparatus and electronic equipment
CN110555755A (en) * 2019-08-21 2019-12-10 浙江数链科技有限公司 Order generation method and device, computer equipment and storage medium
CN112819574A (en) * 2021-01-25 2021-05-18 五八到家有限公司 Method, device and storage medium for generating household order
CN113438606A (en) * 2020-03-23 2021-09-24 中国移动通信有限公司研究院 Message transmission method, device, related equipment and storage medium

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104021349A (en) * 2014-04-03 2014-09-03 福建伊时代信息科技股份有限公司 Network evidence beforehand preservation method and preservation device
CN106127549A (en) * 2016-06-17 2016-11-16 杭州笛佛软件有限公司 E-commerce order management method and system
CN109087160A (en) * 2018-06-15 2018-12-25 长沙市到家悠享家政服务有限公司 Order processing method, apparatus and electronic equipment
CN110555755A (en) * 2019-08-21 2019-12-10 浙江数链科技有限公司 Order generation method and device, computer equipment and storage medium
CN113438606A (en) * 2020-03-23 2021-09-24 中国移动通信有限公司研究院 Message transmission method, device, related equipment and storage medium
CN112819574A (en) * 2021-01-25 2021-05-18 五八到家有限公司 Method, device and storage medium for generating household order

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116991466A (en) * 2023-07-27 2023-11-03 深圳市慧聚数字软件运营有限公司 E-commerce-based client software configuration method, device and server
CN116991466B (en) * 2023-07-27 2024-04-16 深圳市慧聚数字软件运营有限公司 E-commerce-based client software configuration method, device and server

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