AI Empowers Faster Electricity Bill Reconciliation

“Tasks that used to take hours of manual verification can now be completed in just a few minutes, with significantly improved reliability.” On May 20th, the State Grid Kuitun Power Supply Company successfully developed an automatic electricity bill reconciliation tool with the support of the Bright Power Model technology, achieving an intelligent upgrade in electricity bill account verification.

Traditional electricity billing reconciliation work faces numerous challenges. The financial reconciliation at the beginning of each month can only commence after all companies across the region have completed their actual revenue closing, resulting in tight schedules and heavy workloads. Manual reconciliation methods are not only time-consuming and labor-intensive, often taking several hours to complete, but also prone to errors, placing immense pressure on grassroots staff and directly impacting the efficiency and quality of electricity billing generation.

To address this pain point, the State Grid Kuitun Power Supply Company has fully leveraged the technical advantages of the Bright Power Model. Relying on the powerful semantic understanding and data analysis capabilities of the Bright Power Model and the DeepSeek-V3 model, they quickly developed efficient VBA programming code and achieved automatic optimization of functional modules. This intelligent tool features three main functions: automatically reading and organizing financial data, executing precise logical comparisons, and generating discrepancy lists while displaying abnormal information through visual charts. Through the collaborative operation of these functions, it has achieved automatic matching of electricity bill reports and voucher data, discrepancy screening, and anomaly alerts, effectively reducing the complexity and repetitive labor of manual verification.

Practical application results show that this tool compresses the manual verification process, which previously took several hours, to just a few minutes. It not only significantly improves the efficiency and accuracy of reconciliation but also helps grassroots staff quickly locate and efficiently handle issues through automatically generated discrepancy analysis reports, greatly reducing operational risks and ensuring the precision and reliability of electricity billing.

The application of this tool has also lowered the technical threshold for grassroots employees. For frontline staff who are proficient in business but lack programming experience, the natural language prompts, example code, and logical suggestions provided by the Bright Power Model enable them to quickly master the key skills of automated tool development. It has truly achieved the dual goals of reducing the burden on the grassroots and improving quality and efficiency.

Next, the company plans to further expand the application scenarios of the Bright Power Model, continuously optimize existing intelligent tools, enhance the recognition capabilities of various types of accounting data, and explore applications in new areas such as electricity fee recovery monitoring and user electricity behavior analysis. By continuously deepening the integration of artificial intelligence with frontline business, the company will comprehensively advance its digital transformation, providing users with more intelligent, efficient, and convenient power supply services. (By Wang Xuan)