DESC:CROSS-REFERENCE TO RELATED APPLICATIONS AND PRIORITY
[0001] The present application claims priority from the Indian provisional patent application, having application number 202411036812, filed on 09th May 2024, incorporated herein by a reference.
FIELD OF INVENTION
[0002] The present disclosure relates to a field of smart meter operations. More particularly, the present invention relates to a system and a method for task management, introducing innovations for scheduling and managing services in the realm of utility metering and management.
BACKGROUND OF THE INVENTION
[0003] This section is intended to introduce the reader to various aspects of art (the relevant technical field or area of knowledge to which the invention pertains), which may be related to various aspects of the present disclosure that are described or claimed below. This discussion is believed to be helpful in providing the reader with background information to facilitate a better understanding of the various aspects of the present disclosure. Accordingly, it should be understood that these statements in this background section are to be read in this light, and not as admissions of prior art. Similarly, a problem is mentioned in the background section.
[0004] In the era of rapid technological advancement and heightened focus on energy efficiency, the integration of smart metering systems has emerged as an essential solution for utilities and consumers alike. Smart meters facilitate real-time monitoring and management of energy consumption, offering unparalleled insights into usage patterns and enabling more accurate billing. However, the effective management of smart meter networks poses a significant challenge for utilities. The extensive deployment of meters across vast geographical areas requires efficient task planning, scheduling and allocation to ensure timely maintenance, troubleshooting, and upgrades. Traditional approaches to field service management often lack the agility and responsiveness demanded by the dynamic nature of smart metering operations.
[0005] In the service provider industry, efficient process management depends on the seamless alignment of available resources with the infinite tasks demanded by customers. Among the primary resources are the service professionals themselves, encompassing field technicians, help desk operators, customer service representatives, insurance assessors, business consultants, and more. These individuals constitute the frontline workforce tasked with delivering timely and effective solutions to customer needs. Additionally, auxiliary resources such as vehicles, tools, equipment, spare parts, and office spaces play pivotal roles in supporting service delivery operations by ensuring that professionals have the necessary tools and infrastructure to fulfill their duties efficiently.
[0006] A significant challenge in this domain arises from the unpredictable nature of service requests, which are typically initiated by customer demands and cannot be precisely forecasted at a micro-level. The dynamic and often sporadic nature of customer interactions poses a considerable hurdle for service providers aiming to optimize resource allocation and scheduling. Unlike manufacturing processes with predefined workflows and production schedules, service tasks emerge ad-hoc, triggered by customer inquiries, complaints, or service requests. As a result, service providers must adopt flexible and adaptive strategies to manage resources effectively, balancing workforce availability with fluctuating demand patterns to ensure prompt and responsive service delivery.
[0007] Existing systems in service industries heavily rely on manual processes for task assignment and tracking, often leading to inefficiencies and challenges in service delivery. Dispatchers serve as intermediaries between task requesters and service professionals, manually generating task assignments and coordinating employee deployments. However, this manual approach introduces several drawbacks, including a lack of real-time visibility into task completion status. As a result, both dispatchers and requesters are often left in the dark regarding the progress and completion of tasks, leading to delayed service, and ultimately, poor outcomes and customer satisfaction. Additionally, the reliance on manual dispatching contributes to redundant communications, prolonged wait times, and unfulfilled requests, exacerbating operational inefficiencies and customer dissatisfaction.
[0008] Recognizing the limitations of existing systems, there is a growing demand for automated real-time task scheduling and tracking solutions to address these deficiencies. In view of the above, addressing the aforementioned technical challenges requires an improved system and a method for task management.
[0009] Further limitations and disadvantages of conventional and traditional approaches will become apparent to one of skill in the art, through the comparison of described systems with some aspects of the present disclosure, as set forth in the remainder of the present application and concerning the drawings.
SUMMARY OF THE INVENTION
[0010] This summary is provided to introduce concepts related to a system and a method for task management and the concepts are further described below in the detailed description. This summary is not intended to identify essential features of the claimed subject matter nor is it intended for use in determining or limiting the scope of the claimed subject matter.
[0011] According to embodiments illustrated herein, the system for task management is disclosed. In one implementation of the present disclosure, the system may involve a processor and a memory. The memory is communicatively coupled to the processor. Further, the memory is configured to store processor-executable instructions, which, on execution, may cause the processor to extract one or more tasks from a task storage. In an embodiment, the one or more tasks may include one or more task parameters. Furthermore, the processor may be configured to extract one or more field professional data from a professional storage. Additionally, the processor may be configured to arrange the one or more tasks based on the one or more task parameters. Moreover, the processor may be configured to allocate each of the one or more tasks to a professional from one or more professionals automatically based on the one or more task parameters and the one or more field professional data.
[0012] According to embodiments illustrated herein, the method for task management is disclosed. The method may include various steps performed by the processor. The method may include a step of extracting the one or more tasks from the task storage. In an embodiment, the one or more tasks may include the one or more task parameters. Further, the method may include a step of extracting the one or more field professional data from the professional storage. Additionally, the method may include a step of arranging the one or more tasks based on the one or more task parameters. Moreover, the method may include a step of allocating each of the one or more tasks to the professional from the one or more professionals automatically based on the one or more task parameters and the one or more field professional data.
[0013] According to embodiments illustrated herein, a non-transitory computer-readable storage medium having stored thereon a set of computer-executable instructions is disclosed, the instructions causing a computer comprising one or more processors to perform steps. The step may involve extracting the one or more tasks from the task storage. In an embodiment, the one or more tasks may include the one or more task parameters. Further, the step may involve extracting the one or more field professional data from the professional storage. Additionally, the step may involve arranging the one or tasks based on the one or more task parameters. Moreover, the step may involve allocating each of the one or more tasks to the professional from the one or more professionals automatically based on the one or more task parameters and the one or more field professional data.
[0014] The foregoing summary is illustrative only and is not intended to be in any way limiting. In addition to the illustrative aspects, embodiments, examples, and features described above, further aspects, embodiments, and features will become apparent by reference to the drawings and the following detailed description.
BRIEF DESCRIPTION OF DRAWINGS
[0015] The detailed description is described with reference to the accompanying figures. In the figures, same numbers are used throughout the drawings to refer like features and components. Embodiments of a present disclosure will now be described, with reference to the following diagrams below wherein:
[0016] Figure 1 illustrates a block diagram describing a system (100) for task management.
[0017] Figure 2 illustrates a block diagram (200) showing an overview of various components of an application server (101) configured for the task management.
[0018] Figure 3 illustrates a flowchart describing a method (300) for the task management.
[0019] Figure 4 illustrates a block diagram (400) of an exemplary computer system (401) for implementing embodiments consistent with the present subject matter.
[0020] It should be noted that the accompanying figures are intended to present illustrations of exemplary embodiments of the present disclosure. These figures are not intended to limit the scope of the present disclosure. It should also be noted that accompanying figures are not necessarily drawn to scale.

DETAILED DESCRIPTION OF THE INVENTION
[0021] Reference throughout the specification to “various embodiments,” “some embodiments,” “one embodiment,” or “an embodiment” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. Thus, appearances of the phrases “in various embodiments,” “in some embodiments,” “in one embodiment,” or “in an embodiment” in places throughout the specification are not necessarily all referring to the same embodiment. Furthermore, the features, structures or characteristics may be combined in any suitable manner in one or more embodiments.
[0022] The words "comprising," "having," "containing," and "including," and other forms thereof, are intended to be equivalent in meaning and be open ended in that an item or items following any one of these words is not meant to be an exhaustive listing of such item or items or meant to be limited to only the listed item or items. It must also be noted that, the singular forms "a," "an," and "the" include plural references unless the context clearly dictates otherwise. Although any methods similar or equivalent to those described herein can be used in the practice or testing of embodiments of the present disclosure, the exemplary methods are described. The disclosed embodiments are merely exemplary of the disclosure, which may be embodied in various forms.
[0023] The terminology “one or more tasks” and “tasks” has the same meaning and used alternatively throughout the specification. Further, the terminology “one or more field professional data” and “field professional data” has the same meaning and are used alternatively throughout the specification. Furthermore, the terminology “one or more task parameters”, and “task parameters” has the same meaning and are used alternatively throughout the specification. Furthermore, the terminology “one or more professionals”, and “professionals” has the same meaning and are used alternatively throughout the specification.
[0024] Advanced digital devices, such as utility meters and associated telemetry units, are increasingly being deployed to enable real-time monitoring and accurate measurement of resource consumption. Unlike traditional meters that require manual readings and updates, advanced utility meters automatically collect and transmit data to service providers through secure communication networks. This facilitates more accurate and efficient monitoring of usage patterns for both consumers and providers, enabling precise billing and better resource management.
[0025] The present disclosure relates to a system for task management. In one implementation of the present disclosure, the system may extract one or more tasks from a task storage. Further, the one or more tasks may include one or more task parameters. Furthermore, the system may extract one or more field professional data from a professional storage. Additionally, the system may arrange the one or more tasks based on the one or more task parameters. Moreover, the system may allocate each of the one or more tasks to a professional from one or more professionals automatically based on the one or more task parameters and the one or more field professional data. This approach may streamline the task management by automating task generation, prioritization, and the allocation based on real-time and static data. Further, the system may enhance workforce utilization, reduce delays through optimized routing and resource-aware assignment, and support urgent manual overrides when needed. Inventory tracking and dynamic professional data may minimize task failures and enable proactive resource planning. Further, reporting may improve transparency, stakeholder/professional visibility, and decision-making efficiency.
[0026] To overcome the limitations of conventional the task management systems, the disclosed system and the method may emphasize the automated task planning and scheduling by leveraging real-time data and the predefined task parameters. This integration enables efficient generation, prioritization, assignment, and tracking of the one or more tasks, significantly enhancing operational productivity. By automating routine processes such as the task extraction, the sorting based on urgency and deadlines, and matching the one or more professionals using the one or more field professional data. Further, the system reduces manual overhead and allows admin to concentrate on the complex task allocation. The system may facilitate the flexible task management by supporting both the automatic allocation and the manual overhead for the one or more urgent tasks. Furthermore, by incorporating real-time tracking of the one or more professionals’ availability, location, and inventory, the system may ensure precise and timely allocation of the one or more tasks. This end-to-end automation improves task completion accuracy and responsiveness, ultimately enabling the one or more professionals and the admin to engage in higher-level resource planning and strategic decision-making.
[0027] Referring to Figure 1 is a block diagram that illustrates the system (100) for the task management, in accordance with at least one embodiment of the present subject matter. The system (100) typically comprises an application server (101), a database server (102), a communication network (103), and a user computing device (104). The application server (101), the database server (102), and the user computing device (104) are typically communicatively coupled with each other via the communication network (103). In an embodiment, the application server (101) may communicate with the database server (102), and the user computing device (104) using one or more protocols such as, but not limited to, Hypertext Transfer Protocol (HTTP), Transmission Control Protocol/Internet Protocol (TCP/IP), Wireless Application Protocol (WAP), RF mesh, Bluetooth Low Energy (BLE), and the like, to communicate with one another.
[0028] In an embodiment, the database server (102) may refer to a computing device configured to store the one or more tasks, the task parameters, and field professional data, including task assignments and inventory information. The database server (102) may include a specialized operating system specifically configured to perform database operations related to the task planning, scheduling, and execution monitoring. In an embodiment, the database server (102) may function as a centralized repository, specifically configured to store structured task data and the one or more field professional data. The one or more task data may include attributes such as task type, priority, required skills, timeline duration, and the number of professionals required. The one or more field professional data may comprise static parameters such as name, address, certifications, skillset, years of experience, and area of expertise, or more, and dynamic parameters such as current location, attendance, leave status, performance ratings, inventory usage, and task assignments, or more. Further, the system (100) may utilize such data to facilitate real-time decisions in workforce allocation and performance analysis. Further, the database server (102) may store the task parameters, such as task priority, target date, timeline duration, type of task, skills required, number of professionals. In another embodiment, the database server (102) may store and manage data logs related to task reassignment events, the manual overrides, inventory consumption, and feedback. Additionally, the database server (102) may support automatic report generation, covering the data such as the field professional rating, review feedback, or a combination thereof. The database server (102) may also track the working status of the field professionals in real time and support the auto-completion of the one or more tasks based on field activity. Examples of database operations may include, but are not limited to, storing, retrieving, logging, and managing task-related and inventory-related data. To implement these capabilities, the database server (102) may utilize a variety of database technologies, including but not limited to relational database management, system (RDBMS), distributed database technology and the like. Moreover, the database server (102) may be configured to work with the application server (101) to store and retrieve data used for automating the planning, scheduling, monitoring, and the reporting of the one or more tasks for the one or more field professionals.
[0029] A person with ordinary skills in art will understand that the scope of the disclosure is not limited to the database server (102) as a separate entity. In an embodiment, the functionalities of the database server (102) can be integrated into the application server (101) or into the user computing device (104).
[0030] In an embodiment, the application server (104) may refer to a computing device or a software framework hosting an application or a software service. In an embodiment, the application server (104) may be implemented to execute operations such as, but not limited to, configuration data retrieval, configuration data storage, and the one or more updates in the configuration data, utilizing one or more stored procedures or queries to manage configurations. In an embodiment, the hosted application or the software service may be configured to ensure data integrity and facilitate efficient access to the stored content. The application server (104) may be realized through various types of application servers such as, but are not limited to, a Java application server, a .NET framework application server, a Base4 application server, a PHP framework application server, or any other application server framework.
[0031] In an embodiment, the application server (101) may be configured to utilize the database server (102) and the user computing device (104) in conjunction to automate the task management. In an implementation, the application server (101) facilitates the execution of the task allocation and scheduling processes, including monitoring the field operations, generating the tasks, assigning them based on the one or more task parameters, and tracking the task completion status. The application server (101) may coordinate the retrieval of the task parameters, such as the task priority, target date, timeline duration, type of task, skills required, number of professionals, required from the database server (102), ensuring efficient task assignment. It may also handle the execution of the task reassignment in response to real-time changes, such as the personnel availability or urgent task priorities. Furthermore, the application server (101) may process the manual task assignments, allowing the administrators to prioritize and reassign the tasks as needed. By extracting and executing the predefined scheduling workflows and ensuring the accurate and timely completion of the field tasks, the application server (101) enhances the operational efficiency and reduces the need for the manual intervention in the task management. In an embodiment, the application server (101) may integrate with the units responsible for the workforce analytics, the inventory optimization, and the automated report generation. Further, the application server (101) may update stock levels after the task completions. Further, the application server (101) may evaluate the performance of the one or more field professionals based on the task parameters and further generate reports corresponding to the one or more tasks, professional ratings.
[0032] In an exemplary embodiment, the application server (101) may track the working status and the geolocation of the field professionals using the real-time data from the user computing device (104). Based on this dynamic data, it may auto-complete the tasks when the predefined criteria are met, enhancing the automation and the field responsiveness. Additionally, the application server (101) may coordinate the scheduling of the one or more tasks across the daily, weekly, or monthly cycles, the filed professional ratings, and the historical performance data stored in the database server (102) to optimize the task assignment strategy.
[0033] In an embodiment, the application server (101) may be configured to extract the one or more tasks from the task storage. In an embodiment, the one or more tasks may include the one or more task parameters.
[0034] In an embodiment, the application server (101) may be configured to extract the one or more field professional data from the professional storage.
[0035] In an embodiment, the application server (101) may be configured to arrange the one or tasks based on the one or more task parameters.
[0036] In an embodiment, the application server (101) may be configured to allocate each of the one or more tasks to the professional from the one or more professionals automatically based on the one or more task parameters and the one or more field professional data.
[0037] In an embodiment, the communication network (103) may correspond to a communication medium through which the application server (101), the database server (102), and the user computing device (104) may communicate with each other. Such communication may be performed in accordance with various wired and wireless communication protocols. Examples of such wired and wireless communication protocols include, but are not limited to, Transmission Control Protocol and Internet Protocol (TCP/IP), User Datagram Protocol (UDP), Hypertext Transfer Protocol (HTTP), Wireless Application Protocol (WAP), File Transfer Protocol (FTP), ZigBee, EDGE, infrared IR), IEEE 802.11, 802.16, 2G, 3G, 4G, 5G, 6G, 7G cellular communication protocols, and/or Bluetooth (BT) communication protocols. The communication network (103) may either be a dedicated network or a shared network. Further, the communication network (103) may include a variety of network devices, including routers, bridges, servers, computing devices, storage devices, and the like. The communication network (103) may include, but is not limited to, the Internet, intranet, a cloud network, a Wireless Fidelity (Wi-Fi) network, a Wireless Local Area Network (WLAN), a Local Area Network (LAN), a cable network, the wireless network, a telephone network (e.g., Analog, Digital, POTS, PSTN, ISDN, xDSL), a telephone line (POTS), a Metropolitan Area Network (MAN), an electronic positioning network, an X.25 network, an optical network (e.g., PON), a satellite network (e.g., VSAT), a packet-switched network, a circuit-switched network, a public network, a private network, and/or other wired or wireless communications network configured to carry data.
[0038] In an embodiment, the user computing device (104) may comprise one or more processors and one or more memory. The one or more memory may include computer-readable instructions that may be executable by one or more processors to perform predetermined operations of the system (100). In an embodiment, the user computing device (104) may present a web user interface to display operations performed by the application server (101). Example web user interfaces are presented on the one or more portable devices to display a task dashboard for illustrating the report to one or more stakeholders or to the professional. Examples of the user computing device (104) may include, but are not limited to, a personal computer, a laptop, a personal digital assistant (PDA), a mobile device, a tablet, or any other computing device.
[0039] In an embodiment, the system (100) can be implemented using hardware, software, or a combination thereof, including, where suitable, one or more computer programs, mobile applications, or “apps” deployed either on-premises through the corresponding computing terminals or virtually over a cloud infrastructure. The system (100) may include various micro-services or independent modules that are capable of operating autonomously while coordinating with other micro-services to execute the task management. The system (100) may be configured to interact with third-party or external systems, such as the inventory management software or the workforce management systems, to enhance operational integration. Internally, the system (100) may serve as the central processor responsible for handling all task-related transactions and requests initiated by the various users, including the field professionals, the admin, or the automated processes. Furthermore, the system (100) may be configured to concurrently and instantaneously provide the automated task assignment, the task reallocation, and the task tracking in collaboration with the other interconnected systems, thereby ensuring seamless integration of the data and the operations. In a specific embodiment, the system (100) may be implemented to automatically manage the generation, assignment, and monitoring of the one or more tasks, thereby enhancing the operational efficiency and reducing the need for the manual intervention.
[0040] Now referring to Figure 2, illustrates a block diagram (200) showing an overview of various components of the application server (101) configured for the task management, in accordance with at least one embodiment of the present subject matter. Figure 2 is explained in conjunction with elements from Figure 1. In an embodiment, the application server (101) includes a processor (201), a memory (202), a transceiver (203), an input/output unit (204), a user interface unit (205), an extraction unit (206), an arrangement unit (207), and an allocation unit (208). The processor (201) may be communicatively coupled to the memory (202), the transceiver (203), the input/output unit (204), the user interface unit (205), the extraction unit (206), the arrangement unit (207), and the allocation unit (208). The transceiver (203) may be communicatively coupled to the communication network (104) of the system (100).
[0041] In an embodiment, the system (100) for the task management may include the processor (201) and the memory (202). In an embodiment, the memory (202) may be communicatively coupled with the processor (201). The memory (202) may be configured to store one or more executable instructions that, when executed by the processor (201), may cause the processor (201) to generate one or more field tasks for one or more field professionals. The processor (201) may assign the one or more generated tasks based on the task parameters, which may include, but are not limited to, the task location, the task priority, the target date, the timeline duration, the type of task, the skills required, the number of professionals required. Additionally, the processor (201) may be configured to track one or more pending tasks corresponding to the field professionals and may provide the manual task assignment capability based on the urgency. The system (100) may also track the inventory availability for the field professionals and may generate the one or more reports corresponding to the assigned tasks. This configuration may optimize task management by automating task generation and assignment, thereby enhancing operational efficiency and reducing task completion time. Further, the manual assignment of the one or more task capabilities may be facilitated through an intuitive user interface that may empower the admin to prioritize the urgent tasks and reassign the pending tasks, as needed. Additionally, the system (100) may utilize a set of step-by-step instructions that may analyze workload, the professional data, and urgency levels of the one or more tasks to optimize the task allocation. Further, the system (100) may also include mechanisms for tracking inventory availability, which may send notifications to the field professionals about the inventory status changes. Moreover, the system (100) may feature the dashboard interface providing real-time updates on the task pending/completion status and inventory levels, thereby facilitating informed decision-making.
[0042] In an exemplary embodiment, the system (100) may efficiently manage the one or more tasks during a large-scale emergency response scenario. When the emergency arises, the processor (201) may be configured to quickly generate the one or more tasks for the one or more field professionals based on the task location, the task priority, the target date, the timeline duration, the type of task, the skills required, the number of professionals required. Further, the system (100) may be configured to allow the admin to manually prioritize the one or more tasks. The automated tracking of the inventory may also send alerts to the field professionals about required resources or restocking needs, minimizing operational delays. Moreover, the reporting features of the system (100) may be configured to provide real-time updates to the field professionals, thereby enabling quick decision-making and effective allocation of the one or more tasks.
[0043] The processor (201) comprises suitable logic, circuitry, interfaces, and/or code that may be configured to execute a set of instructions stored in the memory (202), and may be implemented based on several processor technologies known in the art. The processor (201) works in coordination with the memory (202), the transceiver (203), the input/output unit (204), the user interface unit (205), the extraction unit (206), the arrangement unit (207), the allocation unit (208) for the task management. Examples of the processor (201) include, but not limited to, a standard microprocessor, microcontroller, central processing unit (CPU), an X86-based processor, a Reduced Instruction Set Computing (RISC) processor, an Application- Specific Integrated Circuit (ASIC) processor, and a Complex Instruction Set Computing (CISC) processor, distributed or cloud processing unit, state machines, logic circuitries, and/or any devices that manipulate signals based on operational instructions and/or other processing logic that accommodates the requirements of the present invention.
[0044] The memory (202) comprises suitable logic, circuitry, interfaces, and/or code that may be configured to store the set of instructions, which are executed by the processor (201). Preferably, the memory (202) is configured to store one or more programs, routines, or scripts that are executed in coordination with the processor (201). Additionally, the memory (202) may include any computer-readable medium or computer program product known in the art including, for example, volatile memory, such as static random-access memory (SRAM) and dynamic random-access memory (DRAM), and/or non-volatile memory, such as read-only memory (ROM), erasable programmable ROM, a Hard Disk Drive (HDD), flash memories, Secure Digital (SD) card, Solid State Disks (SSD), optical disks, magnetic tapes, memory cards, virtual memory and distributed cloud storage. The memory (202) may be removable, non-removable, or a combination thereof. Further, the memory (202) may include routines, programs, objects, components, data structures, etc., which perform particular tasks or implement particular abstract data types. The memory (202) may include programs or coded instructions that supplement the applications and functions of the system (100). In one embodiment, the memory (202), amongst other things, serves as a repository for storing data processed, received, and generated by one or more of the programs or the coded instructions. In yet another embodiment, the memory (202) may be managed under a federated structure that enables the adaptability and responsiveness of the application server (101).
[0045] The transceiver (203) comprises suitable logic, circuitry, interfaces, and/or code that may be configured to receive, process or transmit information, data or signals, which are stored by the memory (202) and executed by the processor (201). The transceiver (203) is preferably configured to receive, process or transmit, one or more programs, routines, or scripts that are executed in coordination with the processor (201). The transceiver (203) is preferably communicatively coupled to the communication network (103) of the system (100) for communicating all the information, data, signals, programs, routines or scripts through the communication network (103).
[0046] The transceiver (203) may implement one or more known technologies to support wired or wireless communication with the communication network (103). In an embodiment, the transceiver (203) may include but is not limited to, an antenna, a radio frequency (RF) transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a Universal Serial Bus (USB) device, a coder-decoder (CODEC) chipset, a subscriber identity module (SIM) card, and/or a local buffer. Also, the transceiver (203) may communicate via wireless communication with networks, such as the Internet, an Intranet and/or a wireless network, such as a cellular telephone network, a wireless local area network (LAN) and/or a metropolitan area network (MAN). Accordingly, the wireless communication may use any of a plurality of communication standards, protocols and technologies, such as: Global System for Mobile Communications (GSM), Enhanced Data GSM Environment (EDGE), wideband code division multiple access (W-CDMA), code division multiple access (CDMA), time division multiple access (TDMA), Bluetooth, Wireless Fidelity (Wi-Fi) (e.g., IEEE 802.11a, IEEE 802.11b, IEEE 802.11g and/or IEEE 802.11n), voice over Internet Protocol (VoIP), Wi-MAX, a protocol for email, instant messaging, and/or Short Message Service (SMS).
[0047] The input/output (I/O) unit (204) comprises suitable logic, circuitry, interfaces, and/or code that may be configured to receive or present information. The input/output unit (204) comprises various input and output devices that are configured to communicate with the processor (201). Examples of the input devices include but are not limited to, a keyboard, a mouse, a joystick, a touch screen, a microphone, a camera, and/or a docking station. Examples of the output devices include, but are not limited to, a display screen and/or a speaker. The I/O unit (204) may include a variety of software and hardware interfaces, for example, a web interface, a graphical user interface, and the like. The I/O unit (204) may allow the system (100) to interact with the user directly or through the user computing devices (104). Further, the I/O unit (204) may enable the system (100) to communicate with other computing devices, such as web servers and external data servers (not shown). The I/O unit (204) can facilitate multiple communications within a wide variety of networks and protocol types, including wired networks, for example, LAN, cable, etc., and wireless networks, such as WLAN, cellular, or satellite. The I/O unit (204) may include one or more ports for connecting a number of devices to one another or to another server. In one embodiment, the I/O unit (204) allows the application server (101) to be logically coupled to other user computing devices (104), some of which may be built in. Illustrative components include tablets, mobile phones, wireless devices, etc.
[0048] Further, the input/output unit (204) may be configured to facilitate execution of one or more operations associated with the task management. In an embodiment, the input/output unit (204) may be configured to generate the one or more tasks in the task storage. In an embodiment, the one or more tasks may be generated during ongoing workflows such as device survey and deployment, in response to maintenance requests or customer complaints, or in accordance with new service requests. In an exemplary embodiment, the one or more tasks may correspond to field survey, feasibility analysis, device deployment planning, device installation, device relocation, device maintenance, telemetry unit installation, telemetry unit relocation, or telemetry unit maintenance. The generated one or more tasks may include the task parameters such as the task location, the task priority, the target date, the timeline duration, the type of task, the skills required, and the number of professionals required. The input/output unit (204) may also monitor in real-time the current inventory details of one or more items available with the one or more field professionals and may allocate the one or more tasks automatically based on the inventory availability. Additionally, the input/output unit (204) may generate a log of the inventory changes during the execution of the one or more tasks and may generate the report for each of the one or more tasks allocated, including the current location of the assigned professional.
[0049] In an exemplary embodiment, the input/output unit (204) may automatically generate the one or more tasks for the telemetry unit installation and the device maintenance in a multi-location deployment scenario. For example, when user complaints are logged through the external interface, the input/output unit (204) may identify associated meter types, such as hybrid meters or digital prepaid meters, and generate corresponding maintenance tasks tagged with the priority and the required skillsets. Further, the input/output unit (204) may then match the one or more tasks with the available field professionals based on real-time inventory data, such as availability of specific RF field devices or gateway units and proceed to allocate the one or more tasks accordingly to the one or more field professionals. During execution, the input/output unit (204) may track the consumption of spare parts, log the changes, and simultaneously generate the live reports, which may include the task status and the professional location data, accessible via the dashboard of the system (100).
[0050] Further, the user interface unit (205) may be configured to display the dashboard for illustrating the one or more reports generated in accordance. In an embodiment, the user interface unit (205) may present visual summaries of the one or more tasks allocated to the one or more field professionals, along with the task parameters. The dashboard may be accessible to the one or more stakeholders or to the professional, providing them with operational transparency and actionable insights. The dashboard may be interactive and allow filtering based on the task priority, location, or completion status, thereby facilitating informed decision-making and the real-time monitoring. Further, the report may indicate the pending and the completed one or more tasks. Further, the system (100) may keep track of the completion of the assigned tasks to the field professionals. The field professional may not be required to intervene with the admin upon completion of the one or more tasks. The system (100) may detect the online status of the IoT device being installed or serviced, and once it comes online, an indication may be displayed in the mobile application carried by the respective field professional, triggering automatic task completion within the system (100).
[0051] In an exemplary embodiment, the user interface unit (205) may present alerts about new task assignments and notifications regarding any changes in the task status. For example, the one or more field professional may receive an alert about the one or more tasks, complete with detailed instructions that include multimedia elements like instructional videos or images of required equipment. Further, this integration may facilitate faster comprehension and execution of the task, leading to improved efficiency and effectiveness in the field.
[0052] Further, the extraction unit (206) may be configured to extract the one or more tasks from the task storage. In an embodiment, the one or more tasks comprises the one or more task parameters. Additionally, the extraction unit (206) may extract the one or more field professional data from the professional storage. Further, the one or more field professional data may include a static professional data and the dynamic professional data. In an exemplary embodiment, the static professional data may correspond to the one or more parameters selected from at least one of name, address, age, certification, year of experience, skillset, expertise, other configured parameters, or a combination thereof. Further, the dynamic professional data may correspond to real-time data obtained from at least one of current location, leave details, attendance, rating, review feedback, regulatory details, assigned tasks, availability data, or a combination thereof.
[0053] Further, the arrangement unit (207) may be configured to arrange the one or more tasks based on the one or more task parameters. In an embodiment, the one or more task parameters may include the task priority, the target date, the task location, the type of task, the timeline duration, the skills required, and the number of professionals required. The arrangement unit (207) may systematically sort the one or more tasks in an order that reflects operational urgency and execution feasibility. In particular, the one or more tasks may be sorted primarily based on the task priority and the target date, thereby enabling time-sensitive and high-priority tasks to be addressed first. This arrangement enhances workflow efficiency and ensures timely fulfillment of critical service operations.
[0054] In an exemplary embodiment, the arrangement unit (207) may be utilized during the utility meter maintenance cycle involving multiple tasks such as the device replacement, the telemetry unit relocation, and the feasibility analysis. The arrangement unit (207) may prioritize the one or more tasks involving malfunctioning devices marked as “urgent” and with immediate the target dates, arranging them before routine tasks scheduled for later dates. This intelligent arrangement supports optimized field operations, ensuring that the field professionals attend to the most pressing issues first, thus improving customer satisfaction and the system responsiveness.
[0055] Further, the allocation unit (208) may be configured to allocate each of the one or more tasks to the professional from the one or more professionals automatically based on the one or more task parameters and the one or more field professional data. In an embodiment, the allocation unit (208) may identify the one or more available professionals based on availability data. Further, the allocation unit (208) may identify the one or more matching professionals whose skillset and expertise align with the skills required for the one or more tasks. The one or more tasks may then be assigned to the matching professional located nearest to the task location. Further, the allocation unit (208) may automatically consider the current inventory details available with each of the professionals. Further, the allocation unit (208) may allocate the one or more tasks involving the pickup of items from a nearby inventory storage facility. Additionally, the allocation unit (208) may optionally support the manual assignment of tasks in scenarios requiring urgent completion. The allocation unit (208) may also generate an optimized execution route plan indicating the sequential order of task execution for the one or more professional.
[0056] The allocation unit (208) may be configured to perform intelligent and automated task management. The process begins with extracting, via the extraction unit (207), the one or more tasks from the task storage. In an exemplary embodiment, the one or more tasks may include the one or more task parameters such as location, priority, skillset required, time duration, inventory needs, and tools availability. Simultaneously, the allocation unit (208) extracts the field professional data including live location, skillsets, availability status, and device telemetry—from a professional storage. Upon extraction, the allocation unit may arrange the tasks, via the arrangement unit (207), based on the defined parameters and field professional data. Subsequently, the tasks are allocated to the one or more professionals automatically by matching task requirements with professional capabilities and availability.
[0057] In an exemplary embodiment, the allocation unit (208) supports dynamic path planning by generating either a normal or optimized route for task execution based on current inventory details. For example, in routine scenarios such as in case, a normal path is assigned when all task requirements are met. In cases where constraints such as missing inventory or unavailable personnel exist, an optimized path is assigned based on resource availability and proximity. For cases such as urgent assignments requiring manual intervention, the optimized route is similarly determined using real-time data on field professional availability, skillset, duration, and inventory. In another case when multiple tasks are queued for the field professional, the system determines the most efficient route—normal or optimized—based on operational needs to ensure minimal delay and optimal workforce utilization.
[0058] In an exemplary embodiment, the allocation unit (208) may follow the step-by-step task allocation process begins by retrieving all incomplete tasks and storing them in a variable called the pending_tasks. Simultaneously, all available field professionals are fetched into a variable named the available_professionals, with each object containing relevant data such as expertise and skillset. The one or more tasks are then sorted based on their priority and the target date to ensure that high-priority tasks are addressed first. The allocation unit (208) enters a loop that continues as long as both the pending_tasks and the available_professionals are not empty. For each iteration, the one or more task is picked from the pending_tasks. If no professional in the available_professionals has matching expertise for the selected task, the task is removed from the list. Otherwise, the task is saved into a temporary variable task_to_allocate, and is assigned to the nearest professional in the available_professionals with the required skills. Subsequently, the system traverses the sorted pending_tasks list to identify and assign all nearby tasks within a predefined distance from the professional’s current location that match the skillset required. The one or more tasks are then removed from the pending_tasks list, and the assigned professional is removed from available_professionals to prevent further assignment during that cycle. This logic ensures that the optimized task allocation based on the priority, the proximity, and the skillset required.
[0059] In an exemplary embodiment, during a smart meter deployment campaign, the allocation unit (208) may retrieve all the pending tasks and list them in the pending_tasks variable. The allocation unit (208) may then fetch the available field professionals with their skillsets into the available_professionals variable. The one or more tasks may be sorted by the priority and the target date. Then, in a loop, the the allocation unit (208) may assign the highest priority task to the nearest available professional with the matching skillset. Subsequently, additional tasks within a defined geographical radius (e.g., 5 km) may be grouped and assigned to the same professional to optimize travel. This process continues until no further eligible professionals or tasks remain. The allocation thus maximizes efficiency, minimizes travel time, and ensures alignment with task urgency and professional capability.
[0060] Now referring to Figure 3, illustrates a flowchart describing a method (300) for the task management, in accordance with at least one embodiment of the present subject matter. The flowchart is described in conjunction with Figure 1 and Figure 2. The method (300) starts at step (301) and proceeds to step (304).
[0061] In operation, the method (300) may involve a variety of steps, executed by the processor (201), for the task management.
[0062] At step (301), the method involves extracting the one or more tasks from the task storage. In an embodiment, the one or more tasks may include the one or more task parameters.
[0063] At step (302), the method involves extracting the one or more field professional data from the professional storage.
[0064] At step (303), the method involves arranging the one or more tasks based on the one or more task parameters.
[0065] At step (304), the method involves allocating each of the one or more tasks to the professional from the one or more professionals automatically based on the one or more task parameters and the one or more field professional data.
[0066] By leveraging advanced technologies such as automation, artificial intelligence, and real-time data analytics, organizations aim to streamline task management processes and enhance operational transparency. Automated systems dynamically allocate tasks to qualified employees based on availability, proximity, and skillset, ensuring timely and efficient service delivery. Additionally, real-time tracking capabilities allow stakeholders to monitor task progress in a transparent and accountable manner, providing visibility into service request status and strengthening communication among dispatchers, employees, and requesters. Through the adoption of improved systems and methods, service industries strive to optimize resource utilization, reduce delays, and elevate overall service quality.
[0067] Let us delve into a detailed example of the present disclosure.
[0068] Imagine the dynamic task management system designed to streamline field operations related to utility device installations, surveys, and maintenance activities. This intelligent system extracts the one or more task and the field professional data, then automatically allocates the one or more tasks using advanced scheduling logic. For example, when a utility company receives a request for deploying smart water meters across various residential areas, the system accesses a centralized task storage to generate tasks based on the deployment plan. Each task contains critical parameters like the location, the required skillsets, the priority, and the timeline. Simultaneously, the system retrieves field professional data, including both the static attributes like certifications and the dynamic real-time data such as the location and the availability. Based on these inputs, the system ranks and assigns tasks to the most suitable professionals. Moreover, the system incorporates intelligent routing for each technician’s daily workflow, monitors inventory levels in real time, and dynamically updates task plans based on real-world execution status. It also allows supervisors to intervene for manual assignments in urgent cases and maintains a full audit log of inventory changes, task reallocations, and professional performance.
[0069] Working Example 1:
[0070] Consider a smart city initiative where a utility provider is rolling out advanced telemetry units (Data Concentrator Units or RF Field Devices) and digital meters in a large metropolitan area. The task management system—referred to here as “XYZ” is deployed to handle survey, installation, and maintenance workflows.
[0071] Suppose a new request is received from a residential complex requiring feasibility analysis and device installation. “XYZ” initiates the task generation by segmenting the work into sub-tasks: (a) field survey, (b) deployment planning, and (c) installation. Each sub-task is tagged with parameters such as the task type, the skill requirements, the estimated time, and the location coordinates.
[0072] “XYZ” then retrieves data on all available field professionals. This includes static parameters such as skillset, years of experience, and certifications in smart meter installations, as well as dynamic parameters such as current GPS location, real-time availability, and task load. It identifies professionals nearby who meet the skill and availability requirements and allocates tasks accordingly.
[0073] For example, Technician A with 5 years of experience in RF installations and currently located 2 km from the site is auto-assigned the survey task. The system plans an optimal route for the technician and updates their schedule. If Technician A reports a leave or falls ill, “XYZ” detects the change in dynamic data and reassigns the task to Technician B, who has similar credentials and is within operational range.
[0074] Meanwhile, “XYZ” checks Technician A’s inventory for required components such as telemetry units and brackets. If an item is missing, a pick-up task is automatically generated for the technician to collect the part from a nearby inventory hub before proceeding. Any inventory consumed during task execution is logged in real-time.
[0075] The dashboard available to the admin shows active assignments, task statuses, and field movement. Manual overrides allow the admin to assign the high-priority tasks directly. The system concludes by generating daily reports highlighting completed tasks, pending tasks, and inventory updates, which can be shared with stakeholders for operational insight.
[0076] Let us delve into another detailed example of the present disclosure.
[0077] Imagine an intelligent task orchestration system designed to enhance hospital operations by automating the allocation, monitoring, and execution of patient-related tasks. This system interfaces with electronic health record (EHR) systems, staff rosters, and medical device inventories to ensure real-time coordination among healthcare providers. For instance, when a new patient is admitted to the emergency department (ED), the system's processing unit evaluates the case severity, required tests, and staff workload to generate clinical tasks. These include patient triaging, diagnostic tests, and specialist consultations. The system assigns these tasks to available personnel such as nurses, radiologists, and physicians based on their shift schedules, clinical expertise, and location within the hospital. In emergencies, the system enables instant task escalation and manual reassignment via an intuitive command center interface. The platform also monitors task completion, equipment usage (e.g., portable ultrasound machines), and updates patient status dashboards for clinicians and the admin.
[0078] Working Example 2:
[0079] Consider a multi-specialty hospital using a system named “SHR” to manage emergency room workflows and patient care coordination.
[0080] Suppose a trauma patient is admitted at 2:00 AM. The hospital’s central EHR triggers a task generation event in “SHR,” which breaks down the required actions into structured tasks: (a) vitals assessment, (b) trauma imaging (CT scan), (c) bloodwork, and (d) orthopedic consultation. Each task is tagged with urgency level, execution window, and required specialization.
[0081] “SHR” queries its staff database to assess real-time availability and qualifications. A nurse on night shift within the trauma unit is assigned the vitals assessment. The system simultaneously allocates the imaging request to the on-call radiology technician and sends an alert to the laboratory for bloodwork processing. The orthopedic consultation task is queued for the on-duty orthopedic specialist, but if the specialist is attending another emergency, the system auto-detects the conflict and escalates the task to the backup consultant. Meanwhile, hospital devices (e.g., mobile X-ray units) are cross-checked for availability, and the nearest unit is reserved and dispatched to the ER bay. All tasks are timestamped and monitored. If the imaging task exceeds its expected duration, “SHR” sends a delay notification to the consulting physician to prevent cascading bottlenecks in care delivery. Supervisors can view task execution logs, reassign or reprioritize tasks manually, and generate compliance reports for regulatory tracking. Finally, “SHR” pushes a summarized update to the patient’s digital chart, including timestamps for each completed task, contributing personnel, and any detected anomalies—thus improving care transparency, traceability, and turnaround efficiency.
[0082] A person skilled in the art will understand that the scope of the disclosure is not limited to scenarios based on the aforementioned factors and using the aforementioned techniques and that the examples provided do not limit the scope of the disclosure.
[0083] Now referring to Figure 4, illustrates a block diagram (400) of an exemplary computer system (401) for implementing embodiments consistent with the present disclosure is illustrated. Variations of computer systems (401) may be used for the task management. The computer system (401) may comprise a central processing unit (“CPU” or “processor”) (402). The processor (402) may comprise at least one data processor for executing program components for executing user- or system-generated requests. A user may include a person, a person using a device such as those included in this disclosure, or such a device itself. Additionally, the processor (402) may include specialized processing units such as integrated system (bus) controllers, memory management control units, floating point units, graphics processing units, digital signal processing units, or the like. In various implementations the processor (402) may include a microprocessor, such as AMD Athlon, Duron or Opteron, ARM’s application, embedded or secure processors, IBM PowerPC, Intel’s Core, Itanium, Xeon, Celeron or other line of processors, for example. Accordingly, the processor (402) may be implemented using mainframe, distributed processor, multi-core, parallel, grid, or other architectures. Some embodiments may utilize embedded technologies like application-specific integrated circuits (ASICs), digital signal processors (DSPs), or Field Programmable Gate Arrays (FPGAs), for example.
[0084] Processor (402) may be disposed in communication with one or more input/output (I/O) devices via I/O interface (403). Accordingly, the I/O interface (403) may employ communication protocols/methods such as, without limitation, audio, analog, digital, monoaural, RCA, stereo, IEEE-1394, serial bus, universal serial bus (USB), infrared, PS/2, BNC, coaxial, component, composite, digital visual interface (DVI), high-definition multimedia interface (HDMI), RF antennas, S-Video, VGA, IEEE 802.n /b/g/n/x, Bluetooth, cellular (e.g., code-division multiple access (CDMA), high-speed packet access (HSPA+), global system for mobile communications (GSM), long-term evolution (LTE), WiMAX, or the like, for example.
[0085] Using the I/O interface (403), the computer system (401) may communicate with one or more I/O devices. For example, the input device (404) may be an antenna, keyboard, mouse, joystick, (infrared) remote control, camera, card reader, fax machine, dongle, biometric reader, microphone, touch screen, touchpad, trackball, sensor (e.g., accelerometer, light sensor, GPS, gyroscope, proximity sensor, or the like), stylus, scanner, storage device, transceiver, video device/source, or visors, for example. Likewise, an output device (405) may be a user’s smartphone, tablet, cell phone, laptop, printer, fax machine, video display (e.g., cathode ray tube (CRT), liquid crystal display (LCD), light- emitting diode (LED), plasma, or the like), or audio speaker, for example. In some embodiments, a transceiver (406) may be disposed in connection with the processor (402). The transceiver (406) may facilitate various types of wireless transmission or reception. For example, the transceiver (406) may include an antenna operatively connected to a transceiver chip (example devices include the Texas Instruments® WiLink WL1283, Broadcom® BCM4750IUB8, Infineon Technologies® X-Gold 618-PMB9800, or the like), providing IEEE 802.11a/b/g/n, Bluetooth, FM, global positioning system (GPS), and/or 2G/3G/5G/6G HSDPA/HSUPA communications, for example.
[0086] In some embodiments, the processor (402) may be disposed in communication with a communication network (408) via a network interface (407). The network interface (407) is adapted to communicate with the communication network (408). The network interface, coupled to the processor may be configured to facilitate communication between the system and one or more external devices or networks. The network interface (407) may employ connection protocols including, without limitation, direct connect, Ethernet (e.g., twisted pair 10/100/1000 Base T), transmission control protocol/internet protocol (TCP/IP), token ring, or IEEE 802.11a/b/g/n/x, for example. The communication network (408) may include, without limitation, a direct interconnection, local area network (LAN), wide area network (WAN), wireless network (e.g., using Wireless Application Protocol), or the Internet, for example. Using the network interface (407) and the communication network (408), the computer system (401) may communicate with devices such as shown as a laptop (409) or a mobile/cellular phone (410). Other exemplary devices may include, without limitation, personal computer(s), server(s), fax machines, printers, scanners, various mobile devices such as cellular telephones, smartphones (e.g., Apple iPhone, Blackberry, Android-based phones, etc.), tablet computers, eBook readers (Amazon Kindle, Nook, etc.), laptop computers, notebooks, gaming consoles (Microsoft Xbox, Nintendo DS, Sony PlayStation, etc.), or the like. In some embodiments, the computer system (401) may itself embody one or more of these devices.
[0087] In some embodiments, the processor (402) may be disposed in communication with one or more memory devices (e.g., RAM 413, ROM 414, etc.) via a storage interface (412). The storage interface (412) may connect to memory devices including, without limitation, memory drives, removable disc drives, etc., employing connection protocols such as serial advanced technology attachment (SATA), integrated drive electronics (IDE), IEEE-1394, universal serial bus (USB), fiber channel, small computer systems interface (SCSI), etc. The memory drives may further include a drum, magnetic disc drive, magneto-optical drive, optical drive, redundant array of independent discs (RAID), solid-state memory devices, or solid-state drives, for example.
[0088] The memory devices may store a collection of program or database components, including, without limitation, an operating system (416), user interface application (417), web browser (418), mail client/server (419), user/application data (420) (e.g., any data variables or data records discussed in this disclosure) for example. The operating system (416) may facilitate resource management and operation of the computer system (401). Examples of operating systems include, without limitation, Apple Macintosh OS X, UNIX, Unix-like system distributions (e.g., Berkeley Software Distribution (BSD), FreeBSD, NetBSD, OpenBSD, etc.), Linux distributions (e.g., Red Hat, Ubuntu, Kubuntu, etc.), IBM OS/2, Microsoft Windows (XP, Vista/7/8, etc.), Apple iOS, Google Android, Blackberry OS, or the like.
[0089] The user interface (417) is for facilitating the display, execution, interaction, manipulation, or operation of program components through textual or graphical facilities. For example, user interfaces may provide computer interaction interface elements on a display system operatively connected to the computer system (401), such as cursors, icons, check boxes, menus, scrollers, windows, or widgets, for example. Graphical user interfaces (GUIs) may be employed, including, without limitation, Apple Macintosh operating systems’ Aqua, IBM OS/2, Microsoft Windows (e.g., Aero, Metro, etc.), Unix X-Windows, or web interface libraries (e.g., ActiveX, Java, JavaScript, AJAX, HTML, Adobe Flash, etc.), for example.
[0090] In some embodiments, the computer system (401) may implement a web browser (418) stored program component. The web browser (418) may be a hypertext viewing application, such as Microsoft Internet Explorer, Google Chrome, Mozilla Firefox, Apple Safari, or Microsoft Edge, for example. Secure web browsing may be provided using HTTPS (secure hypertext transport protocol), secure sockets layer (SSL), Transport Layer Security (TLS), or the like. Web browsers may utilize facilities such as AJAX, DHTML, Adobe Flash, JavaScript, Java, or application programming interfaces (APIs), for example. In some embodiments the computer system (401) may implement a mail client/server (419) stored program component. The mail server (419) may be an Internet mail server such as Microsoft Exchange, or the like. The mail server may utilize facilities such as ASP, ActiveX, ANSI C++/C#, Microsoft .NET, CGI scripts, Java, JavaScript, PERL, PHP, Python, or WebObjects, for example. The mail server (419) may utilize communication protocols such as internet message access protocol (IMAP), messaging application programming interface (MAPI), Microsoft Exchange, post office protocol (POP), simple mail transfer protocol (SMTP), or the like. In some embodiments, the computer system (401) may implement a mail client (420) stored program component. The mail client (420) may be a mail viewing application, such as Apple Mail, Microsoft Entourage, Microsoft Outlook, or Mozilla Thunderbird.
[0091] In some embodiments, the computer system (401) may store user/application data (421), such as the data, variables, records, or the like as described in this disclosure. Such databases may be implemented as fault-tolerant, relational, scalable, secure databases such as Oracle or Sybase, for example. Alternatively, such databases may be implemented using standardized data structures, such as an array, hash, linked list, struct, structured text file (e.g., XML), table, or as object-oriented databases (e.g., using ObjectStore, Poet, Zope, etc.). Such databases may be consolidated or distributed, sometimes among the various computer systems discussed above in this disclosure. It is to be understood that the structure and operation of the any computer or database component may be combined, consolidated, or distributed in any working combination.
[0092] Furthermore, one or more computer-readable storage media may be utilized in implementing embodiments consistent with the present invention. A computer-readable storage medium refers to any type of physical memory on which information or data readable by a processor may be stored. Thus, a computer-readable storage medium may store instructions for execution by one or more processors, including instructions for causing the processor(s) to perform steps or stages consistent with the embodiments described herein. The term “computer- readable medium” should be understood to include tangible items and exclude carrier waves and transient signals, i.e., non-transitory. Examples include Random Access Memory (RAM), Read- Only Memory (ROM), volatile memory, non-volatile memory, hard drives, Compact Disc (CD) ROMs, Digital Video Disc (DVDs), flash drives, disks, and any other known physical storage media.
[0093] In light of the above-mentioned advantages and the technical advancements provided by the disclosed system and method, the claimed steps as discussed above are not routine, conventional, or well understood in the art, as the claimed steps enable the following solutions to the existing problems in conventional technologies. Further, the claimed steps clearly bring an improvement in the functioning of the device itself as the claimed steps provide a technical solution to a technical problem.
[0094] Various embodiments of the disclosure provide a non-transitory computer readable medium and/or storage medium, and/or a non-transitory machine-readable medium and/or storage medium having stored thereon, a machine code and/or a computer program having at least one code section executable by a machine and/or a computer for dynamic task planning and scheduling. The at least one code section in the application server (101) causes the machine and/or computer including one or more processors to perform the steps, which include the step of extracting (301) the one or more tasks from the task storage. In an embodiment, the one or more tasks may include the one or more task parameters. Further, the step may involve extracting (302) the one or more field professional data from the professional storage. Additionally, the step may involve arranging (303) the one or tasks based on the one or more task parameters. Moreover, the step may involve allocating (304) each of the one or more tasks to the professional from the one or more professionals automatically based on the one or more task parameters and the one or more field professional data.
[0095] Various embodiments of the disclosure encompass numerous advantages including systems and methods for the task management. The disclosed system and method have several technical advantages, but not limited to the following:
• Automated Task Extraction and Sorting: Automatically extracts and arranges tasks based on configurable parameters (e.g., location, priority, target date), reducing manual intervention and enabling systematic task management.
• Dynamic Professional Matching: Leverages both static (e.g., skillset, experience) and dynamic (e.g., real-time location, availability) data for intelligent and context-aware allocation of field professionals.
• Optimized Resource Allocation: Allocates tasks based on current location and inventory availability, reducing travel time and ensuring field professionals are equipped with necessary tools and components minimizing delays and task failures.
• Scalable and Configurable Scheduling: Enables bulk task generation and smart distribution based on configurable business rules, supporting operations across large field teams and geographies.
• Real-Time Monitoring and Inventory Integration: Tracks inventory dynamically and updates stock levels during task execution, ensuring availability and facilitating predictive inventory management.
• Manual Override and Urgency Handling: Supports manual task assignment for urgent or exception-based scenarios, maintaining flexibility in rapidly changing or critical operational environments.
• Execution Route Planning: Generates optimized task execution sequences based on professional location and task grouping, enhancing field operation efficiency.
• Reduced Supervisor Load: Automates routine decision-making in task allocation, allowing supervisors to focus on higher-order strategic, escalatory, or exception-based functions.
• Enhanced Operational Efficiency and Network Performance: Improves overall task throughput, reduces field delays, and ensures optimized usage of field resources—thereby enhancing operational efficiency, network performance, and task management specifically in utility and infrastructure sectors.

[0096] In summary, these technical advantages address the challenges of managing large-scale smart meter networks, such as inefficient resource allocation, task delays, and lack of real-time oversight. Traditional manual systems often result in operational inefficiencies, miscommunication, and extended downtimes, which negatively impact service quality and customer satisfaction. The disclosed system solves these issues by automating task scheduling and real-time tracking, considering factors like skillset, location, and resource availability. This enhances task assignment, provides real-time visibility, and allows for manual prioritization of urgent tasks. The system improves operational efficiency, reduces delays, and offers valuable insights for informed decision-making, ultimately enhancing service delivery and customer satisfaction.
[0097] The claimed invention of the system (100) and the method (300) for the task management involves tangible components, processes, and functionalities that interact to achieve specific technical outcomes. The system (100) automates the task generation, allocation, and reallocation based on the task parameters like the task location, the priority, the skills required, and the resource availability. The system (100) integrates elements such as the processors, memory, and real-time tracking mechanisms for the dynamic professional data to efficiently allocate the one or more tasks to the field professionals. The system (100) may also handle the real-time monitoring of the inventory data and allow the manual task allocation when the urgent task allocations are required, ensuring effective task completion and the real-time reporting for enhanced operational performance.
[0098] Furthermore, the invention involves a non-trivial combination of technologies and methodologies that provide a technical solution to the technical problem of efficiently managing and assigning tasks to field professionals. While individual components like the processors, the databases, the inventory systems, and the location tracking are well-known in the field of computer science, their integration into the comprehensive system (100) for the automated task assignment based on the skills, the availability, and the real-time data brings about an improvement and technical advancement in the field of the task management. This innovation provides a novel approach for dynamically managing the field operations with optimized efficiency.
[0099] In light of the above mentioned advantages and the technical advancements provided by the disclosed system and method, the claimed steps as discussed above are not routine, conventional, or well understood in the art, as the claimed steps enable the following solutions to the existing problems in conventional technologies. Further, the claimed steps clearly bring an improvement in the functioning of the device itself as the claimed steps provide a technical solution to a technical problem.
[0100] The present disclosure may be realized in hardware, or a combination of hardware and software. The present disclosure may be realized in a centralized fashion, in at least one computer system, or in a distributed fashion, where different elements may be spread across several interconnected computer systems. A computer system or other apparatus adapted for carrying out the methods described herein may be suited. A combination of hardware and software may be a general-purpose computer system with a computer program that, when loaded and executed, may control the computer system such that it carries out the methods described herein. The present disclosure may be realized in hardware that comprises a portion of an integrated circuit that also performs other functions.
[0101] A person with ordinary skills in the art will appreciate that the systems, modules, and sub-modules have been illustrated and explained to serve as examples and should not be considered limiting in any manner. It will be further appreciated that the variants of the above disclosed system elements, modules, and other features and functions, or alternatives thereof, may be combined to create other different systems or applications.
[0102] Those skilled in the art will appreciate that any of the aforementioned steps and/or system modules may be suitably replaced, reordered, or removed, and additional steps and/or system modules may be inserted, depending on the needs of a particular application. In addition, the systems of the aforementioned embodiments may be implemented using a wide variety of suitable processes and system modules, and are not limited to any particular computer hardware, software, middleware, firmware, microcode, and the like. The claims can encompass embodiments for hardware and software, or a combination thereof.
[0103] While the present disclosure has been described with reference to certain embodiments, it will be understood by those skilled in the art that various changes may be made, and equivalents may be substituted without departing from the scope of the present disclosure. In addition, many modifications may be made to adapt a particular situation or material to the teachings of the present disclosure without departing from its scope. Therefore, it is intended that the present disclosure is not limited to the particular embodiment disclosed, but that the present disclosure will include all embodiments falling within the scope of the appended claims.
,CLAIMS:WE CLAIM:
1. A method (300) for task management, wherein the method (300) comprises:
extracting (301), via a processor (201), one or more tasks from a task storage, wherein the one or more tasks comprise one or more task parameters;
extracting (302), via the processor (201), one or more field professional data from a professional storage;
arranging (303), via the processor (201), the one or more tasks based on the one or more task parameters; and
allocating (304), via the processor (201), each of the one or more tasks to a professional from one or more professionals automatically based on the one or more task parameters and the one or more field professional data.

2. The method (300) as claimed in claim 1, comprises
generating the one or more tasks in the task storage, wherein the one or more tasks are generated in at least one of in process of ongoing workflow of device survey and deployment, as a maintenance activity in response to a complaint raised by customers, a new request, or a combination thereof;
wherein the one or more tasks corresponds to one of field survey, feasibility analysis, device deployment planning, device installation, device relocation, device maintenance, telemetry unit installation, telemetry unit relocation, and telemetry unit maintenance;
wherein the one or more task parameters comprise at least one of task location, task priority, target date, timeline duration, type of task, skills required, number of professionals required;
wherein the device corresponds to at least one of a utility meter, electricity meter, gas meter, water meter, hybrid meters, digital meter, prepaid meter, postpaid meter, residential meter, commercial meter, industrial meter and a combination thereof;
wherein the telemetry unit comprises at least one of Data Concentrator Units (DCUs) or Gateways OR Radiofrequency (RF) Field Device or a combination thereof.

3. The method (300) as claimed in claim 2, wherein the one or more tasks are sorted based on task priority and the target date.

4. The method (300) as claimed in claim 1, wherein the one or more field professional data comprise static professional data and dynamic professional data, wherein the static professional data corresponds to one or more parameters from at least one of name, address, age, certification, year of experience, skillset, expertise, other configured parameters or a combination thereof; wherein the dynamic professional data corresponds to real-time data from at least one of current location, leave details, attendance, rating, review feedback, inventory details, assigned tasks, availability data, and a combination thereof.

5. The method (300) as claimed in claim 4, wherein assigning of each of the one or more tasks to the professional comprises:
identifying one or more available professionals from the one or more field professionals based on the availability data of the one or more field professionals;
identifying one or more matching professionals from the one or more available professionals based on matching skillset and expertise of the one or more available professionals with skills required for the one or more tasks; and
assigning each of the one or more tasks to the professional from the one or more matching professionals based on the current location of the one or more matching professionals.

6. The method (300) as claimed in claim 4, comprises the allocating one or more remaining tasks from the one or more tasks to the professional, wherein the one or more remaining tasks comprises task locations within a predefined distance of the current location of the professional.

7. The method (300) as claimed in claim 1, wherein the allocating each of the one or more tasks to the professional comprises an execution route plan to perform a sequence of the one or more tasks, for the professional.

8. The method (300) as claimed in claim 1, comprises manual assignment of the one or more tasks in case of requiring an urgent completion of the task.

9. The method (300) as claimed in claim 4, comprises:
monitoring in real-time, current inventory details of one or more items available with the one or more field professionals, required for execution of the one or more tasks,
allocating each of the one or more tasks to the professional from one or more professionals automatically based on the current inventory details of the one or more items available with the one or more field professionals;
generating a log of inventory changes while execution of the one or more tasks.

10. The method (300) as claimed in claim 9, wherein the allocating each of the one or more tasks to the professional comprises a task of picking one or more items, required for the execution of the one or more tasks, from nearby inventory storage facilities.

11. The method (300) as claimed in claim 4, comprises tracking in real-time, the dynamic professional data of the one or more field professionals;
allocating each of the one or more tasks to the professional from one or more professionals automatically based on the dynamic professional data of the one or more field professionals.

12. The method (300) as claimed in claim 1, comprises:
generating a report corresponding to the one or more task allocated to the professional along with current location of the professional
displaying a task dashboard for illustrating the report to one or more stakeholders or to the professional.

13. A system (100) for task management, wherein the system (100) comprises:
a processor (201);
a memory (202) communicatively coupled with the processor (201), wherein the memory (202) is configured to store one or more executable instructions that, when executed by the processor (201), cause the processor (201) to:
extract (301) one or more tasks from a task storage, wherein the one or more tasks comprise one or more task parameters;
extract (302) one or more field professional data from a professional storage;
arrange (303) the one or tasks based on the one or more task parameters; and
allocate (304) each of the one or more tasks to a professional from one or more professionals automatically based on the one or more task parameters and the one or more field professional data.

14. A non-transitory computer-readable storage medium having stored thereon, a set of computer-executable instructions that, when executed by a processor, cause the processor to perform steps comprising:
extracting (301), one or more tasks from a task storage, wherein the one or more tasks comprise one or more task parameters;
extracting (302), one or more field professional data from a professional storage;
arranging (303), the one or tasks based on the one or more task parameters; and
allocating (304), each of the one or more tasks to a professional from one or more professionals automatically based on the one or more task parameters and the one or more field professional data.