An intelligent scheduling method based on customer acquisition service activation card scenarios

Abstract

This invention discloses an intelligent scheduling method for a customer service activation card-related scenario, relating to the field of network service management technology; it includes: Step 1: Analyzing the processing records of each activation process step, interface call logs, and the average processing time of each service step to identify whether there is a card-related issue in the current activation process step; if so, generating a card-related issue scheduling task; Step 2: Obtaining the background logs of the activation process step, analyzing the specific reasons for the card-related issue, identifying the processing object based on the scheduling strategy, and automatically dispatching the card-related issue processing task; Step 3: Performing card-related issue scheduling processing and recording relevant data during the processing; Step 4: After the card-related issue scheduling processing is completed, performing recovery verification: Obtaining the log information of the current step of the activation process, analyzing whether there is still a card-related issue in the current work order; if the current step flows normally, the card-related issue scheduling task ends; otherwise, analyzing the reasons for the card-related issue and performing automatic scheduling processing based on the scheduling strategy; Step 5: Performing card-related issue recovery verification again; if it is still not recovered, the card-related issue task is dispatched to the scheduling personnel for manual intervention and scheduling processing until the work order flows normally.

Description

Technical Field

[0001] This invention discloses an intelligent scheduling method based on a customer service activation card scenario, which relates to the field of network service management technology. Background Technology

[0002] Activating inbound customer services is essentially a lengthy process involving data configuration and testing within the network infrastructure. This process varies significantly depending on the service type, but from the customer's perspective, completing activation quickly and ensuring service availability and usability improves the user experience. For operators, shorter activation times are also a competitive advantage. However, current activation processes are prone to issues like order delays and untimely processing, which reduce activation efficiency, increase the risk of delays, extend activation time, and ultimately negatively impact the customer's service experience. Summary of the Invention

[0003] This invention addresses the problems of existing technologies by providing an intelligent scheduling method based on the scenario of customer service activation cards. It offers automatic identification and intelligent scheduling strategies, optimizes overall efficiency and support effectiveness, and aligns with the goals of improving efficiency and reducing costs in government and enterprise business support.

[0004] The specific solution proposed in this invention is as follows:

[0005] This invention provides an intelligent scheduling method based on a customer acquisition service activation card scenario, comprising:

[0006] Step 1: Analyze the processing records of each stage of the activation process, the interface call logs, and the average processing time of each business stage to identify whether there is a bottleneck in the current activation process. If so, generate a bottleneck scheduling task.

[0007] Step 2: Obtain the background logs of the activation process, analyze the specific reasons for the order delay, identify the processing objects based on the scheduling strategy, and automatically dispatch the order delay processing tasks;

[0008] Step 3: Perform card order scheduling and record relevant data during the processing.

[0009] Step 4: After the work order scheduling is completed, perform recovery verification: obtain the log information of the current stage of the activation process, analyze whether the current work order is still stuck. If the current stage is flowing normally, the work order scheduling task ends; otherwise, analyze the reason for the stuck work order and perform automatic scheduling based on the scheduling strategy.

[0010] Step 5: Perform the work order recovery verification again. If it is still not recovered, the work order task will be assigned to the dispatcher for manual intervention and dispatching until the work order flow is normal.

[0011] Furthermore, in step 1 of the intelligent scheduling method based on the customer acquisition business activation card order scenario, identifying whether there is a card order in the current activation process includes: identifying whether there is an anomaly and the reason for the anomaly in the current activation process; if so, determining whether there is a card order based on the anomaly and the reason for the anomaly; if so, generating a card order scheduling task.

[0012] Furthermore, in step 3 of the intelligent scheduling method based on the customer acquisition business activation card order scenario, data related to the processing process is recorded, including: recording the reason for the card order, the processing strategy, and the processing details.

[0013] Furthermore, in step 5 of the intelligent scheduling method based on the customer acquisition business card order scenario, the card order task is dispatched to the scheduling personnel for manual intervention and scheduling processing via email, SMS, and terminal APP communication.

[0014] This invention also provides an intelligent scheduling device based on the scenario of customer acquisition business activation card order, including an analysis and identification module, a dispatch module, a card order processing module, and a verification module.

[0015] The analysis and identification module analyzes the processing records of each stage of the activation process, the interface call logs, and the average processing time of each business stage to identify whether there is a stuck order in the current activation process stage. If so, it generates a stuck order scheduling task.

[0016] The analysis and identification module obtains the background logs of the activation process, analyzes the specific reasons for the order blockage, identifies the processing object based on the scheduling strategy, and notifies the dispatch module to automatically dispatch the order blockage processing task.

[0017] The card order processing module performs card order scheduling and records relevant data during the processing.

[0018] After the work order scheduling is completed, the verification module performs recovery verification: obtains the log information of the current stage of the activation process, analyzes whether the current work order is still stuck, if the current stage is flowing normally, the work order scheduling task ends; otherwise, it analyzes the reason for the stuck work order and performs automatic scheduling based on the scheduling strategy.

[0019] The verification module performs another verification to restore the work order. If it is still not restored, the dispatch module will assign the work order task to the dispatcher for manual intervention and dispatching until the work order flow is normal.

[0020] Furthermore, the analysis and identification module of the intelligent scheduling device based on the customer acquisition business activation card order scenario identifies whether there is a card block in the current activation process, including: identifying whether there is an anomaly and the reason for the anomaly in the current activation process; if so, determining whether there is a card block based on the anomaly and the reason for the anomaly; if so, generating a card block scheduling task.

[0021] Furthermore, the card order processing module of the intelligent scheduling device based on the card order scenario for customer acquisition business records relevant data of the processing process, including: recording the reason for the card order, the processing strategy, and the processing details.

[0022] Furthermore, the dispatch module of the intelligent dispatch device based on the customer acquisition business card order scenario utilizes email, SMS, and terminal APP communication to dispatch card order tasks to dispatch personnel for manual intervention and dispatch processing.

[0023] The advantages of this invention are:

[0024] This invention, through the construction of intelligent card order scheduling support capabilities, enables the normal flow of work orders and ensures their timeliness, thereby improving the level of government and enterprise business support, forming synergy with various departments at all levels, realizing numerical empowerment, and promoting the goal of improving the quality, efficiency, and reducing costs of end-to-end installation and maintenance support on the network side. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 This is a schematic diagram of the method flow of the present invention. Detailed Implementation

[0027] The present invention will be further described below with reference to the accompanying drawings and specific embodiments, so that those skilled in the art can better understand and implement the present invention. However, the embodiments described are not intended to limit the present invention.

[0028] Example 1

[0029] This invention provides an intelligent scheduling method based on a customer acquisition service activation card scenario, comprising:

[0030] Step 1: Analyze the processing records of each stage of the activation process, the interface call logs, and the average processing time of each business stage to identify whether there is a bottleneck in the current activation process. If so, generate a bottleneck scheduling task.

[0031] In step 1, it is possible to further identify whether there are any abnormalities and the reasons for the abnormalities in the current activation process. If so, it is determined whether there is a stuck order based on the abnormality and the reasons for the abnormality. If so, a stuck order scheduling task is generated.

[0032] Step 2: Obtain the background logs of the activation process, analyze the specific reasons for the order delay, identify the processing objects based on the scheduling strategy, and automatically dispatch the order delay processing tasks.

[0033] Step 3: Perform card order scheduling and record relevant data during the processing.

[0034] Record relevant data during the processing, which may further include: the reason for the ticket being blocked, the processing strategy, and the processing details.

[0035] Step 4: After the work order scheduling is completed, perform recovery verification: obtain the log information of the current stage of the activation process, analyze whether the current work order is still stuck. If the current stage is flowing normally, the work order scheduling task ends; otherwise, analyze the reason for the stuck work order and perform automatic scheduling based on the scheduling strategy.

[0036] Step 5: Perform the work order recovery verification again. If it is still not recovered, the work order task will be assigned to the dispatcher for manual intervention and dispatching until the work order flow is normal.

[0037] In step 5, email, SMS, and terminal APP communication methods can be used to further dispatch the card order tasks to the dispatchers for manual intervention and dispatch processing.

[0038] This invention analyzes factors such as processing records of the activation process, interface call logs, and the average processing time of each business step to identify and analyze order delays and root causes. It then formulates scheduling strategies based on these root causes, ultimately achieving closed-loop management of order delay scheduling. This solves the problem of untimely processing and inability to track activation in real time, leading to workflow disruptions and improving the user experience.

[0039] Example 2

[0040] This invention also provides an intelligent scheduling device based on the scenario of customer acquisition business activation card order, including an analysis and identification module, a dispatch module, a card order processing module, and a verification module.

[0041] The analysis and identification module analyzes the processing records of each stage of the activation process, the interface call logs, and the average processing time of each business stage to identify whether there is a stuck order in the current activation process stage. If so, it generates a stuck order scheduling task.

[0042] The analysis and identification module obtains the background logs of the activation process, analyzes the specific reasons for the order blockage, identifies the processing object based on the scheduling strategy, and notifies the dispatch module to automatically dispatch the order blockage processing task.

[0043] The card order processing module performs card order scheduling and records relevant data during the processing.

[0044] After the work order scheduling is completed, the verification module performs recovery verification: obtains the log information of the current stage of the activation process, analyzes whether the current work order is still stuck, if the current stage is flowing normally, the work order scheduling task ends; otherwise, it analyzes the reason for the stuck work order and performs automatic scheduling based on the scheduling strategy.

[0045] The verification module performs another verification to restore the work order. If it is still not restored, the dispatch module will assign the work order task to the dispatcher for manual intervention and dispatching until the work order flow is normal.

[0046] The information interaction and execution process between the modules in the above-mentioned device are based on the same concept as the method embodiment of the present invention, and the specific details can be found in the description in the method embodiment of the present invention, and will not be repeated here.

[0047] Similarly, the device of this invention, through the construction of intelligent card order scheduling support capabilities, realizes the normal flow of work orders and ensures the timeliness of work order flow, thereby improving the level of government and enterprise business support, forming synergy with various departments at all levels, realizing numerical empowerment, and promoting the goal of improving the quality, efficiency and reducing the cost of end-to-end installation and maintenance support on the network side.

[0048] It should be noted that not all steps and modules in the above processes and device structures are mandatory; some steps or modules can be omitted as needed. The execution order of each step is not fixed and can be adjusted as required. The system structure described in the above embodiments can be a physical structure or a logical structure. That is, some modules may be implemented by the same physical entity, or some modules may be implemented by multiple physical entities, or they may be jointly implemented by certain components in multiple independent devices.

[0049] The above-described embodiments are merely preferred embodiments provided to fully illustrate the present invention, and the scope of protection of the present invention is not limited thereto. Equivalent substitutions or modifications made by those skilled in the art based on the present invention are all within the scope of protection of the present invention. The scope of protection of the present invention is defined by the claims.

Claims

1. An intelligent scheduling method based on the scenario of customer acquisition service activation card, characterized by: include: Step 1: Analyze the processing records of each stage of the activation process, the interface call logs, and the average processing time of each business stage to identify whether there is a bottleneck in the current activation process. If so, generate a bottleneck scheduling task. Step 2: Obtain the background logs of the activation process, analyze the specific reasons for the order delay, identify the processing objects based on the scheduling strategy, and automatically dispatch the order delay processing tasks; Step 3: Perform card order scheduling and record relevant data during the processing. Step 4: After the work order scheduling is completed, perform recovery verification: obtain the log information of the current stage of the activation process, analyze whether the current work order is still stuck. If the current stage is flowing normally, the work order scheduling task ends; otherwise, analyze the reason for the stuck work order and perform automatic scheduling based on the scheduling strategy. Step 5: Perform the work order recovery verification again. If it is still not recovered, the work order task will be assigned to the dispatcher for manual intervention and dispatching until the work order flow is normal.

2. The intelligent scheduling method based on the customer acquisition service activation card order scenario according to claim 1, characterized in that step 1, identifying whether there is a card issue in the current activation process, includes: Identify whether there are any abnormalities in the current activation process and the reasons for them. If so, determine whether there is a stuck order based on the abnormality and the reasons for it. If so, generate a stuck order scheduling task.

3. The intelligent scheduling method based on the customer acquisition service activation card scenario as described in claim 1, characterized in that: Step 3 records relevant data about the processing, including: the reason for the stuck order, the processing strategy, and the processing details.

4. The intelligent scheduling method based on the customer acquisition service activation card scenario as described in claim 1, characterized in that: In step 5, the task assignment is sent to the dispatcher via email, SMS, or terminal APP for manual intervention and dispatch processing.

5. An intelligent scheduling device based on a customer acquisition service activation card scenario, characterized in that: It includes an analysis and identification module, a distribution module, a card processing module, and a verification module. The analysis and identification module analyzes the processing records of each stage of the activation process, the interface call logs, and the average processing time of each business stage to identify whether there is a stuck order in the current activation process stage. If so, it generates a stuck order scheduling task. The analysis and identification module obtains the background logs of the activation process, analyzes the specific reasons for the order blockage, identifies the processing object based on the scheduling strategy, and notifies the dispatch module to automatically dispatch the order blockage processing task. The card order processing module performs card order scheduling and records relevant data during the processing. After the work order scheduling is completed, the verification module performs recovery verification: obtains the log information of the current stage of the activation process, analyzes whether the current work order is still stuck, if the current stage is flowing normally, the work order scheduling task ends; otherwise, it analyzes the reason for the stuck work order and performs automatic scheduling based on the scheduling strategy. The verification module performs another verification to restore the work order. If it is still not restored, the dispatch module will assign the work order task to the dispatcher for manual intervention and dispatching until the work order flow is normal.

6. The intelligent scheduling device based on the customer acquisition service activation card scenario as described in claim 5, characterized in that: The analysis and identification module identifies whether there are any blocked orders in the current activation process, including: identifying whether there are any abnormalities and the reasons for the abnormalities in the current activation process; if so, it determines whether there are any blocked orders based on the abnormalities and the reasons for the abnormalities; if so, it generates a blocked order scheduling task.

7. The intelligent scheduling device based on the customer acquisition service activation card scenario as described in claim 5, characterized in that: The card processing module records relevant data during the processing, including: the reason for the card being blocked, the processing strategy, and the processing details.

8. The intelligent scheduling device based on the customer acquisition service activation card scenario as described in claim 5, characterized in that: The dispatch module uses email, SMS, and terminal APP communication to dispatch card order tasks to dispatchers for manual intervention and scheduling.

Images