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US 10,324,457 B2Granted
Robotic process automation for supply chain management operations
AssigneeGlobal eProcure
InventorsSubramaniyan Neelakandan, Ankit Tyagi, Dhananjay Nagalkar
Life of this patent
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Abstract
The present invention discloses robotic process automation (RPA) of supply chain management (SCM) operations. In example embodiments the invention discloses RPA method and systems for supply chain management. The RPA systems include IOT devices and server as part of a sub network for secured communication relating to SCM operations like procurement operations. The system and method of the present invention utilizes AI based processing logic using a bot for automation of SCM operations thereby reducing the processing times and increasing efficiency.
Claims25
A robotic process automation (RPA) system for supply chain management (SCM) operations, the system comprising:
- an electronic user interface configured to perform a plurality of SCM operations;
- at least one processor configured to automatically generate code for at least one SCM scenario, wherein the at least one SCM scenario is selected from the plurality of SCM operations by a user;
- a controller encoded with instructions enabling the controller to function as a bot configured to generate a plurality of fixtures created for performing the plurality of SCM operations by utilizing a library of functions stored on a functional database, wherein the plurality of fixtures are backend scripts created by bot based on the at least one SCM scenario, data objects/dome and AI processing for enabling automation of the SCM operations;
- a sub network having at least one server configured to process the plurality of fixtures to identify relevant fixture for the at least one SCM scenario, and a control unit configured to process the at least one SCM scenario based on the identified relevant fixture for automating the SCM operations, wherein the control unit selects an Artificial Intelligence based dynamic processing logic using the bot to reduce the processing time of the SCM operations.
1 more element
A robotic process automation (RPA) system for supply chain management (SCM) operations, the system comprising:
- an electronic user interface configured to perform a plurality of SCM operations;
- at least one processor configured to automatically generate code for at least one SCM scenario, wherein the at least one SCM scenario is selected from the plurality of SCM operations by a user;
- a controller encoded with instructions enabling the controller to function as a bot configured to generate a plurality of fixtures created for performing the plurality of SCM operations by utilizing a library of functions stored on a functional database;
- a sub network having at least one server configured to process the plurality of fixtures to identify relevant fixture for the at least one SCM scenario, and a control unit configured to process the at least one SCM scenario based on the identified relevant fixture for automating the SCM operations, wherein the control unit selects an Artificial Intelligence based dynamic processing logic using the bot to reduce the processing time of the SCM operations;
- at least one IOT device configured to capture, store and transmit a SCM specific data relevant to the at least one SCM scenario, wherein the SCM operations include at least one of supplier management operations, procurement operations, inventory management operations, account payable operations, transportation management operations, and material management operations, and wherein an inventory management operation of the plurality of SCM operations at a warehouse includes scanning of a set of received goods by the at least one TOT device and transmitting the SCM scenario specific warehousing data related to the scanned goods to the at least one server for creating receipts, labels and notifications using the bot.
2 more elements
A robotic process automation (RPA) s stem for supply chain management (SCM) operations, the s stem comprising:
- an electronic user interface configured to perform a plurality of SCM operations;
- at least one processor configured to automatically generate code for at least one SCM scenario, wherein the at least one SCM scenario is selected from the plurality of SCM operations by a user;
- a controller encoded with instructions enabling the controller to function as a bot configured to generate a plurality of fixtures created for performing the plurality of SCM operations by utilizing a library of functions stored on a functional database;
- a sub network having at least one server configured to process the plurality of fixtures to identify relevant fixture for the at least one SCM scenario, and
- a control unit configured to process the at least one SCM scenario based on the identified relevant fixture for automating the SCM operations, wherein the control unit selects an Artificial Intelligence based dynamic processing logic using the bot to reduce the processing time of the SCM operations, wherein the at least one server includes a front end web server communicatively coupled to at least one SQL server, wherein the front end web server is configured to reprocess the at least one SCM scenario based on the plurality of fixtures by receiving the at least one SCM scenario processed by the SQL server and applying the AI based dynamic processing logic to the SCM scenario to automate the SCM operations.
2 more elements
A robotic process automation (RPA) method for supply chain management (SCM) operations, the method comprising:
- receiving at least one SCM scenario from a user through an electronic user interface;
- storing the at least one SCM scenario in a SCM scenario database;
- creating a sub network having at least one server based on the at least one SCM scenario;
- identifying at least one relevant fixture based on the at least one SCM scenario;
- embedding the SCM scenario specific data on the identified fixture to generate xml file;
- sending the xml file to an execution engine for executing the scenario on an application;
- identifying by the execution engine, an appropriate data object/dome in the application for processing the received SCM scenario;
- and
- communicating to a control unit a result from the execution engine to enable the control unit to identify and select an artificial intelligence based dynamic processing logic using a bot to process the SCM operations, wherein the fixture is a backend script created by the bot based on the SCM scenario, the data objects/dome and AI processing for enabling of the SCM operations.
6 more elements
A robotic process automation (RPA) method for supply chain management (SCM) operations, the method comprising:
- receiving at least one SCM scenario from a user through an electronic user interface;
- storing the at least one SCM scenario in a SCM scenario database;
- creating a sub network having at least one server based on the received scenario;
- identifying at least one relevant fixture based on the received scenario;
- embedding the SCM scenario specific data on the identified fixture to generate xml file;
- sending the xml file to an execution engine for executing the scenario on an application;
- identifying by the execution engine, an appropriate data object/dome in the application for processing the received SCM scenario;
- and
- communicating to the control unit a result from the execution engine to enable the control unit to identify and select an artificial intelligence (AI) based dynamic processing logic using a hot to process the SCM operations, wherein the AI based processing logic integrates deep learning, predictive analysis, information extraction, planning, scheduling, optimization and robotics for processing the SCM operations by the control unit.
6 more elements
A computer program product for robotic process automation on an application of a computing device with memory, the product comprising:
- a computer readable storage medium readable by a processor and storing instructions for execution by the processor for performing a method, the method comprising:
- receiving at least one SCM scenario from a user through an electronic user interface;
- storing the at least one SCM scenario in a SCM scenario database;
- creating a sub network having at least one server based on the at least one SCM scenario;
- identifying at least one relevant fixture based on the received scenario;
- embedding the SCM scenario specific data on the identified fixture to generate xml file;
- sending the xml file to an execution engine for executing the scenario on an application;
- identifying by the execution engine, an appropriate data object/dome in the application for processing the received SCM scenario;
- and
- communicating to a control unit a result from the execution engine to enable the control unit to identify and select an artificial intelligence based dynamic processing logic using a bot to process the SCM operations, wherein the fixture is a backend script created by the bot based on the SCM scenario, the data objects/dome and AI processing for enabling automation of the SCM operations.
7 more elements
Dependencies are inferred from the claim text.