ElectroNeek Studio Pro for LUMA Invoice Automation and Payment Processing
| dc.contributor.advisor | Duffany, Jeffrey | |
| dc.contributor.author | Carrasquillo Dávila, Emanuel | |
| dc.date.accessioned | 2025-07-17T17:10:05Z | |
| dc.date.issued | 2025-05 | |
| dc.description | Design Project Article for the Graduate Programs at Polytechnic University of Puerto Rico | |
| dc.description.abstract | The increasing complexity and volume of recurring financial transactions have driven organizations toward implementing Robotic Process Automation (RPA) to streamline their operations and minimize human error. ElectroNeek Studio Pro, a leading low-code RPA platform, enables businesses to automate such repetitive tasks with precision and resilience. This project leverages the platform to automate the end-to-end process of accessing the LUMA Energy web portal, securely logging in using credentials stored in ElectroNeek's Credential Vault, retrieving the latest monthly invoice, and executing payment through a predefined card input sequence. The system is designed with fault-tolerance in mind; built-in retry loops, decision branches, and fallback handlers ensure that the bot recovers from common interruptions—such as login failures or file download delays—without user intervention. Critical milestones, such as successful payment execution or task failure beyond threshold attempts, are accompanied by real-time email notifications that close the feedback loop. By using ElectroNeek’s orchestrated workflows, credential management, and browser automation capabilities, the system delivers a robust, scalable, and auditable automation solution that aligns with best practices in digital finance transformation [1] [2]. Keywords - ElectroNeek Studio Pro, Error Handling, Financial Automation, LUMA, RPA. | |
| dc.identifier.citation | Carrasquillo Dávila, E. (2025). ElectroNeek Studio Pro for LUMA Invoice Automation and Payment Processing [Unpublished manuscript]. Graduate School, Polytechnic University of Puerto Rico. | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12475/3063 | |
| dc.language.iso | en | |
| dc.publisher | Polytechnic University of Puerto Rico | |
| dc.relation.haspart | San Juan | |
| dc.relation.ispartof | Computer Engineering Program | |
| dc.relation.ispartofseries | Spring-2025 | |
| dc.rights.holder | Polytechnic University of Puerto Rico, Graduate School | |
| dc.rights.license | All rights reserved | |
| dc.subject.lcsh | Robotic process automation | |
| dc.subject.lcsh | Finance--Data processing | |
| dc.subject.lcsh | Electric utilities--Puerto Rico--Automation | |
| dc.subject.lcsh | Error detection and recovery (Computers) | |
| dc.subject.other | LUMA Energy | |
| dc.title | ElectroNeek Studio Pro for LUMA Invoice Automation and Payment Processing | |
| dc.type | Article | |
| dc.type | Poster |
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