Order processing system

Abstract

An order processing system disclosed by the present invention comprises a fence management module, an application processing module, an assessment module, an intelligent distribution module and a statistics module, the fence management module is used for setting an activity area and a corresponding authority of a worker, and an application management unit is used for screening and confirming an application person. The assessment module is used for assessing and rating the staff, the intelligent distribution module is used for intelligently managing and matching the order pool, and the statistics module is used for counting the number of the staff and the income. The invention aims to carry out efficient and comprehensive integrated management on the rider, and the system greatly improves the income of the rider on the premise of improving the performance speed of the merchant.

Description

Technical Field

[0001] The present invention relates to the technical field of the Internet, and particularly to an order processing system. Background Art

[0002] With the rapid development of the new retail format and the continuous upgrading of instant consumption demands, local life service platforms are facing the operational challenge of an explosive growth in order volume. In specific business scenarios, merchants frequently encounter the operational pressure of a sharp increase in short-term order volume. A series of structural defects have emerged in traditional distribution management systems. The order allocation mechanism relies on manual experience decision-making, and the system response timeliness is difficult to match the dynamically changing market demands. The path planning algorithm does not fully consider the scenario of multiple orders occurring simultaneously, resulting in an increase in the redundancy of distribution routes. There is a mismatch gap between the scheduling of transportation capacity resources and real-time demands, and there is often a shortage of transportation capacity during peak periods. These problems trigger a chain reaction: the delay in order fulfillment initiation at the merchant side is exacerbated, and the customer service satisfaction drops sharply; riders are faced with an imbalance between work intensity and income returns, and there is room for optimizing resource utilization. During the order peak period, the order density of merchants is high, and riders cannot quickly fulfill a large number of orders from merchants, causing a bad experience for both merchants and users. How to fully ensure that merchants can immediately fulfill orders after receiving them, improve the fulfillment speed, protect the rights and interests of customers, and at the same time increase the income of riders is an urgent problem to be solved currently. Summary of the Invention

[0003] (1) Object of the Invention

[0004] The object of the present invention is to provide an order processing system, aiming to conduct efficient and comprehensive integrated management of riders. This system significantly increases the income of riders on the premise of improving the order fulfillment speed of merchants and protects the rights and interests of customers.

[0005] (2) Technical Solution

[0006] To solve the above problems, a first aspect of the present invention provides an order processing system, including: a fence management module, a registration processing module, an assessment module, an intelligent allocation module, and a statistics module. The fence management module is used to set the activity area and corresponding permissions of staff. The registration management unit is used for screening and confirming registration personnel. The assessment module is used to conduct assessment ratings on staff. The intelligent allocation module is used for intelligent management and matching of the order pool. The statistics module is used to count the number of staff and their income.

[0007] Further, a dynamic adjustment unit is provided in the fence management module to control the activity area of the fence management module.

[0008] Further, an information verification unit is provided in the registration processing module to determine whether the registration personnel meet the registration conditions.

[0009] Further, the assessment module includes a daily assessment unit and a weekly assessment unit.

[0010] Further, the order processing system further includes an interaction interface module, which is used for the display and operation of the user interface.

[0011] Further, the daily assessment unit includes the daily completed order volume and the daily online duration.

[0012] Further, the weekly assessment unit includes the number of days of receiving orders, the weekly completed order volume, overtime requirements, dressing requirements, and the number of cancelled orders.

[0013] Further, the information verification unit stipulates the age, position level, past completed order volume, order overtime volume, and account balance deposit of the applicants.

[0014] Further, the intelligent allocation module intelligently manages and matches the order pool according to the task type, difficulty level, and geographical location.

[0015] Further, the interaction interface module includes a query progress unit, a task receiving unit, and an income details unit.

[0016] (III) Advantageous Effects

[0017] The above technical solutions of the present invention have the following beneficial technical effects: The present invention provides an order processing system, which includes a fence management module, an enrollment processing module, an assessment module, an intelligent allocation module, and a statistics module, realizing the full-process management of riders from enrollment, assessment to task allocation, data statistics, and settlement. The fence management module is used to set the activity area and corresponding permissions of the staff, the enrollment management unit is used for the screening and confirmation of applicants, the assessment module is used for the assessment and rating of the staff, the intelligent allocation module is used for the intelligent management and matching of the order pool, and the statistics module is used for the statistics of the number of staff and income statistics. The present invention not only improves the merchant's performance speed but also greatly increases the rider's income and improves the efficiency of transportation capacity. Description of the Drawings

[0018] Figure 1 is a schematic diagram of an order processing system of the present invention;

[0019] Figure 2 is a schematic diagram of the fence management module in an embodiment of the present invention (the quadrilateral area is an example). Detailed Embodiments

[0020] To make the objectives, technical solutions, and advantages of the present invention more clear and understandable, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are merely exemplary and are not intended to limit the scope of the present invention. In addition, in the following descriptions, the descriptions of well-known structures and technologies are omitted to avoid unnecessarily confusing the concepts of the present invention.

[0021] As Figure 1 shown, the present invention provides an order processing system. The present invention covers the full-process management of riders from registration to settlement, achieving comprehensive control over service quality and efficiency. The system includes: a fence management module, a registration processing module, an assessment module, an intelligent allocation module, and a statistics module. Each module is specifically as follows:

[0022] The fence management module is used to set the activity areas and corresponding permissions of staff. By setting the fence management module, the system clarifies the activity areas of riders to ensure service quality and efficiency. Most of these areas are business districts with dense orders, and this part of the area can be set and defined through the operation background. The fence management module is as Figure 2 shown. At the same time, a dynamic adjustment unit is provided in the fence management module to control the activity areas of the fence management module. The system supports dynamic adjustment of the fence management module to adapt to different scenarios and requirements. The dynamic adjustment unit evaluates the order density of the fence based on big data information and can edit this fence to achieve the maximum benefit.

[0023] The registration management unit is used for screening and confirming registration personnel. The assessment module is used for assessing and rating staff. The intelligent allocation module is used for intelligent management and matching of the order pool. The statistics module is used for counting the number of staff and income statistics. An information verification unit is provided in the registration processing module to determine whether the registration personnel meet the registration conditions. When a rider registers, it will be based on the master's past order receiving situation. The order receiving situation depends on whether the rider has the ability to undertake orders. Finally, according to the required number of people, the best ones will be selected. The system receives the rider's registration information and screens and confirms it according to the preset rider registration rules. The information verification unit stipulates the age, position level, past completed order volume, order overtime volume, and account balance deposit of the registration personnel to ensure the eligibility and safety of participants.

[0024] The assessment module includes a daily assessment unit and a weekly assessment unit. The assessment results will be used as the basis for task allocation and income calculation to ensure the rationality and fairness of task allocation. The daily assessment unit includes the daily completed order volume and the daily online duration. The weekly assessment unit includes the number of days of receiving orders, the weekly completed order volume, overtime requirements, dressing requirements, and the number of cancelled orders. The results of the assessment module can be transmitted to the registration module for the function renewal and data statistics of riders and for relevant data display. The assessment is linked to the income, and the better the assessment result, the higher the income.

[0025] Furthermore, the order processing system further includes an interaction interface module, which is used for the display and operation of the user interface. The interaction interface module includes a query progress unit, a task receiving unit, and an income details unit. The system statistically analyzes and displays the work data and income details of riders in real time to ensure data accuracy and transparency and enhance user trust. The user interaction interface is designed to be simple and intuitive, easy to operate and understand, and convenient for riders to operate and manage anytime and anywhere.

[0026] Furthermore, the intelligent allocation module intelligently manages and matches the order pool according to the task type, difficulty level, and geographical location. According to the rider order pool management rules, the intelligent allocation module displays orders to riders. Through the order pool management function, the system can perform intelligent matching and allocation according to the task requirements and the actual situation of riders, improving the task execution efficiency and user satisfaction. For example, after a rider signs up, there will be corresponding fence information. When a merchant releases an order, it belongs to the fence information. Based on the orders carried by the rider, it is judged whether to assign the order to the rider. There are also cases where the order is too far away and the rider goes out of the fence. According to the fence information registered by the rider, the order will be pushed back to the fence for the rider to perform efficient fulfillment within the fence.

[0027] In the above, for the order matching requirements of the intelligent allocation module, considering multiple influencing factors, the following comprehensive matching degree evaluation formula can be adopted:

[0028]

[0029] In formula (1), is the task adaptability, is the spatial attenuation factor,

[0030] is the load factor, log(1 + K j ) is the ability bonus;

[0031] Specifically, T ij is the task type matching degree (0 - 1), as shown in formula (2) specifically:

[0032]

[0033] In formula (2), s j represents the current skill level of rider j, and r i represents the benchmark skill requirement of task i. The skill deviation correction is used to calculate the matching degree between rider j and order i, such as perfect match, partial match, critical match or non-match. This can not only participate in the comprehensive matching evaluation, but also provide a basis for the subsequent skill improvement of riders. In addition, in formula (1), D ij is the difficulty adaptability (0-1), that is, the matching degree between the difficulty level of order i and the ability of rider j. a i represents the difficulty level of task i, l j represents the certification level of rider j, l max represents the highest difficulty level of the system, w T and w D are configurable weights. L ij represents the straight-line distance (unit: meter) between the current position of rider j and the pick-up point of order i. The data source can be updated in real time using the GPS positioning system. R j is the dynamic fence radius (defining the current service radius of the fence where rider j is registered, which can be dynamically adjusted according to the historical order density). Among them, the dynamic formula is calculated as follows:

[0034]

[0035] In formula (3), α is the adjustment rate (which can be defaulted to 0.1 to prevent drastic fluctuations).

[0036] Q actual represents the actual order volume in the past 1 hour, Q expect represents the expected order volume in this period (from historical data prediction). λ is the attenuation coefficient, which is used to control the attenuation rate of the distance on the matching degree.

[0037] In addition, in formula (1), C j is the current load, which defines the number of unfinished orders that rider j is executing. 0 ≤ C j ≤ C max , C max is the maximum load value, which defines the maximum number of orders that the system allows rider j to undertake simultaneously; K j is the comprehensive rating of rider j.

[0038] Through the above formula, the score of each rider can be calculated. When the score of a rider j is higher than that of other candidate riders, the system gives priority to dispatching orders to rider j.

[0039] Of course, the order matching requirements of the above intelligent allocation module are only exemplary, and those skilled in the art can make flexible adjustments to this, and such adjustments do not constitute a limitation to the present invention.

[0040] In the above description, no detailed explanations are given for the technical details such as the composition and etching of each layer. However, those skilled in the art should understand that various means in the prior art can be used to form layers, regions, etc. of the required shapes. Additionally, in order to form the same structure, those skilled in the art can also design methods that are not exactly the same as the methods described above. The present invention has been described with reference to the embodiments of the present invention. However, these embodiments are merely for illustrative purposes and not for limiting the scope of the present invention. The scope of the present invention is defined by the appended claims and their equivalents. Without departing from the scope of the present invention, those skilled in the art can make various substitutions and modifications, and these substitutions and modifications should all fall within the scope of the present invention. Although the embodiments of the present invention have been described in detail, it should be understood that various changes, substitutions, and alterations can be made to the embodiments of the present invention without departing from the spirit and scope of the present invention. Obviously, the above embodiments are merely examples given for clear illustration and not limitations on the embodiments. For those of ordinary skill in the art, other different forms of changes or variations can be made based on the above description. It is not necessary and impossible to enumerate all the embodiments here. And the obvious changes or variations derived therefrom are still within the protection scope of the present invention. Those skilled in the art should understand that the embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The present invention is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for realizing the functions specified in the flow Figure 1 one flow or multiple flows and / or blocks Figure 1 or multiple blocks specified in one block or multiple blocks. These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device that realizes the functions in the flow Figure 1 one flow or multiple flows and / or blocks Figure 1The functions specified in one or more boxes. These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes and / or boxes. Figure 1 One process or more processes and / or boxes Figure 1 The steps of the functions specified in one or more boxes. Those of ordinary skill in the art can understand that all or part of the steps in implementing the method of the above embodiments can be completed by instructing relevant hardware through a program. The said program can be stored in a computer-readable storage medium. When the program is executed, it includes the processes of the embodiments of the above various methods. Among them, the storage medium can be a magnetic disk, an optical disc, a read-only memory (ROM for short), a random access memory (RAM for short), etc. The steps in the method of the embodiments of the present invention can be adjusted, combined, and deleted according to actual needs. The modules in the system of the embodiments of the present invention can be combined, divided, and deleted according to actual needs.

Claims

1. An order processing system, characterized in that, Including: A fence management module, a registration processing module, an assessment module, an intelligent allocation module, and a statistics module. The fence management module is used to set the activity areas and corresponding permissions of the staff. The registration management unit is used to screen and confirm the registered personnel. The assessment module is used to assess and rate the staff. The intelligent allocation module is used to intelligently manage and match the order pool. The statistics module is used to count the number of staff and their income.

2. The order processing system according to claim 1, wherein A dynamic adjustment unit is provided in the fence management module to control the activity areas of the fence management module.

3. The order processing system according to claim 1, wherein An information verification unit is provided in the registration processing module to determine whether the registered personnel meet the registration requirements.

4. The order processing system according to claim 1, wherein The assessment module includes a daily assessment unit and a weekly assessment unit.

5. The order processing system according to claim 1, wherein The order processing system further includes an interactive interface module, which is used for the display and operation of the user interface.

6. The order processing system according to claim 4, wherein The daily assessment unit includes the daily order completion volume and the daily online duration.

7. The order processing system according to claim 4, wherein The weekly assessment unit includes the number of days of receiving orders, the weekly order completion volume, the overtime requirement, the dress code requirement, and the order cancellation volume.

8. The order processing system according to claim 3, wherein The information verification unit stipulates the age, position level, past order completion volume, order overtime volume, and account balance deposit of the registered personnel.

9. The order processing system according to claim 1, characterized in that, The intelligent allocation module intelligently manages and matches the order pool according to the task type, difficulty level, and geographical location.

10. The order processing system according to claim 5, characterized in that, The interactive interface module includes a progress query unit, a task receiving unit, and an income details unit.

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