On 25 december last year, at around 9 p. M., sun jian, the high-pressure customer manager of the national network-free tin power company, opened the computer to process a billing abnormal worksheet that was automatically determined by the marketing system 2. 0 to be “aberrant in customer file data”. After two minutes, the system automatically completed the run-off and cost recalculations, and the entire abnormal worksheet process took less than 20 minutes. This has benefited from the autonomous development of the e-accounting anomalous flows and the online application of the process-wide control module at the network centre for marketing。
In the past, unusual electricity-cost accounting operations had relied mainly on manual manual worksheets, sent back-to-back with the inspector-general, and eventually re-calculated manually, with the entire process taking at least half a day and subject to leakage and double-counting。
Since august 2023, the national networking marketing service centre has performed a causal analysis based on historical worksheets for the accounting of electricity costs. The classification rules for 150 types of abnormal worksheets have been refined, and at the end of november of that year, the electrical expenses accounting abnormal directs and process whole process control modules were placed on the marketing system 2. 0. The module can use the classification rule to make an intelligent distinction between abnormal types of electricity costs and send them directly in the form of work orders to the corresponding back-to-mouth professions. The system automatically recalculates the volume fee upon completion of the professional processing. At the same time, electric billing managers can keep real-time track of the abnormal worksheet processing through the accounting desk and provide on-line supervision of the various components to ensure timely processing during the accounting period。
In addition, the centre has organized the development of a manual for handling anomalies, which provides a causal analysis and summary of treatment methods for 28 typical categories of common accounting anomalies, and helps grass-roots staff to upgrade their processing capabilities。
According to statistics, nearly 75 per cent of monthly accounting for abnormalities caused by client file data can be automatically determined and work orders issued automatically, with the average processing time being reduced from half a day to half an hour, resulting in a significant increase in efficiency in electricity accounting。
