EP-4740099-A1 - METHOD AND SYSTEM FOR MITIGATING WORKFLOW FAILURES IN A FULFILMENT MANAGEMENT SYSTEM

EP4740099A1EP 4740099 A1EP4740099 A1EP 4740099A1EP-4740099-A1

Abstract

The present disclosure relates to a method [300] and a system [200] for mitigating workflow failures in a fulfilment management system, the method [300] comprising identifying [304], by an identification unit [202], one or more workflow failures at one or more network nodes, wherein the one or more workflow failures arise due to any or a combination of an issue in fulfilment management service provisioning, an incorrect request reception, or network node-related issue. The method further comprises analysing [306], by an analysis unit [204], the identified one or more workflow failures. The method further comprises rectifying and executing [308], by an executing unit [206], the analysed one or more workflow failures using a trained learning model. The method thereafter comprises storing [310], by a storage unit [208], data associated with the rectified one or more workflow failures.

Inventors

MURARKA, ANKIT
BHATNAGAR, AAYUSH
VERMA, RAHUL
MALIK, KAMAL
AHMAD, RIZWAN
Gill, Kapil
JAIN, ARPIT
Bhushan, Shashank
MAGU, Sameer

Assignees

Jio Platforms Limited

Dates

Publication Date: 20260513
Application Date: 20240611

Claims (1)

We Claim: 1. A method [300] for mitigating workflow failures in a fulfilment management system, the method comprising: identifying [304], by an identification unit [202], one or more workflow failures at one or more network nodes, wherein the one or more workflow failures arise due to any or a combination of an issue in fulfilment management service provisioning, an incorrect request reception, or network node-related issue; analysing [306], by an analysis unit [204], the identified one or more workflow failures; rectifying and executing [308], by an executing unit [206], the analysed one or more workflow failures using a trained learning model; and storing [310], by a storage unit [208], data associated with the rectified one or more workflow failures. 2. The method [300] as claimed in claim 1, wherein the method comprises rectifying, by the execution unit [206] using the trained model, the one or more workflow failures based on error codes identified in a request-response schema. 3. The method [300] as claimed in claim 2, wherein the request-response schema includes mandatory and optional string identifiers for customer details and error identifications. 4. The method [300] as claimed in claim 1, wherein the method comprises retrying and completing, by the execution unit [206], the workflow automatically after rectifying the identified one or more workflow failures. 5. The method [300] as claimed in claim 1, wherein the one or more workflow failures comprises failures arising due to receiving incorrect requests and issues related to at least one of a network node and fulfilment management service provisioning. 6. The method [300] as claimed in claim 1, wherein the data stored by the storage unit [208] is utilized for continual learning and improvement of the trained model, thereby progressively enhancing accuracy of rectification steps over time. 7. A system [200] for mitigating workflow failures in a fulfilment management system, the system comprises: an identification unit [202], configured to identify one or more workflow failures at one or more network nodes, wherein the one or more workflow failures arise due to any or a combination of an issue in fulfilment management service provisioning, an incorrect request reception, or network node-related issue; an analysis unit [204] connected to the identification unit [202], wherein the analysis unit [204] configured to analyse the identified one or more workflow failures; an execution unit [206] connected to the analysis unit [204], wherein the execution unit [206] configured to rectify and execute the analysed one or more workflow failures using a trained learning model; and a storage unit [208] connected to the execution unit [206], wherein the storage unit [208] configured to store, data associated with the rectified one or more workflow failures. 8. The system [200] as claimed in claim 7, wherein the execution unit [206] is configured to rectify, using the trained model, the one or more workflow failures based on error codes identified in a request-response schema. 9. The system [200] as claimed in claim 8, wherein the request-response schema includes mandatory and optional string identifiers for customer details and error identifications. 10. The system [200] as claimed in claim 7, wherein the execution unit [206] is configured to retry and complete the workflow automatically after rectifying the identified one or more workflow failures. 11. The system [200] as claimed in claim 7, wherein the one or more workflow failures comprises failures arising due to receiving incorrect requests and issues related to at least one of a network node and fulfilment management service provisioning. 12. The system [200] as claimed in claim 7, wherein the data stored by the storage unit [208] is utilized for continual learning and improvement of the trained model, thereby progressively enhancing accuracy of rectification steps over time. 13. A non-transitory computer-readable storage medium storing instructions for mitigating workflow failures in a fulfilment management system, the storage medium comprising executable code which, when executed by one or more units of a system [200], causes: an identification unit [202] to identify one or more workflow failures at one or more network nodes, wherein the one or more workflow failures arise due to any or a combination of an issue in fulfilment management service provisioning, an incorrect request reception, or network node-related issue; an analysis unit [204] to analyse the identified one or more workflow failures; an executing unit [206] to rectify and execute the analysed one or more workflow failures using a trained learning model; and a storage unit [208] to store data associated with the rectified one or more workflow failures.

Description

METHOD AND SYSTEM FOR MITIGATING WORKFLOW FAILURES IN A FULFILMENT MANAGEMENT SYSTEM FIELD OF INVENTION [0001] Embodiments of the present disclosure generally relate to network performance management systems. More particularly, embodiments of the present disclosure relate to mitigating workflow failures in a fulfilment management system. BACKGROUND [0002] The following description of the related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section is used only to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of the prior art. [0003] Wireless communication technology has rapidly evolved over the past few decades, with each generation bringing significant improvements and advancements. The first generation of wireless communication technology was based on analog technology and offered only voice services. However, with the advent of the second-generation (2G) technology, digital communication and data services became possible, and text messaging was introduced. The third- generation (3G) technology marked the introduction of high-speed internet access, mobile video calling, and location-based services. The fourth-generation (4G) technology revolutionized wireless communication with faster data speeds, better network coverage, and improved security. Currently, the fifth-generation (5G) technology is being deployed, promising even faster data speeds, low latency, and the ability to connect multiple devices simultaneously. With each generation, wireless communication technology has become more advanced, sophisticated, and capable of delivering more services to its users. [0004] Workflow failures in a 5G network can be detrimental and disrupt the seamless operation of the network. One common cause of such failures is incorrect request, due to fulfillment management services (FMS) provisioning or some issue related to network node. In a complex 5G network environment, various stakeholders interact to request and provision network resources and services. If there are errors in the requests made, such as incorrect resource requirements or incompatible service configurations, it can lead to inefficient allocation of resources and subsequent workflow failures. Likewise, if the fulfillment management services responsible for provisioning and delivering the requested resources are not properly aligned with the network's capabilities and operational constraints, it can result in inefficiencies, delays, and even service outages. [0005] However, there are certain challenges with existing solutions as implementing regular monitoring and performance analysis of the workflow leads to user interference may lead to delay in identifying bottlenecks or anomalies, hence defeating the purpose of allowing for timely corrective actions. Thereby, it is imperative to nullify the user interference in failure case handling by fulfilment management system. Further, over the period of time a few solutions have been developed to improve the performance of communication devices and to create automated systems and intelligent algorithms for fulfillment management that can minimize human errors and improve the efficiency of resource allocation and service provisioning. [0006] Thus, there exists an imperative need in the art to ensure accurate and precise communication between stakeholders, meticulous planning and provisioning of network resources, and effective management of fulfillment services to prevent such workflow failures and ensure the smooth operation of a 5G network, which the present disclosure aims to address. SUMMARY [0007] This section is provided to introduce certain aspects of the present disclosure in a simplified form that are further described below in the detailed description. This summary is not intended to identify the key features or the scope of the claimed subject matter. [0008] An aspect of the present disclosure relates to a method for mitigating workflow failures in a fulfilment management system, the method comprising identifying, by an identification unit, one or more workflow failures at one or more network nodes, wherein the one or more workflow failures arise due to any or a combination of an issue in fulfilment management service provisioning, an incorrect request reception, or network node-related issue. The method comprises analysing, by an analysis unit, the identified one or more workflow failures. The method comprises rectifying and executing, by an executing unit, the analysed one or more workflow failures using a trained learning model. The method comprises storing, by a storage unit, data associated with the rectified one or more workflow failures. [0009] In an exemplary aspect of the present disclosure, the method further comprises rec