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- W3174654911 abstract "It is very common for companies to receive invoices (and other semi-structured documents) in paper and PDF files and someone has to manually enter that data into a digital structure like a database or comma-separated values (CSV) file. This type of work is very time-consuming (making it expensive) and exhaustive (making it prone to errors). Data entry activities also force high-paying specialized workers to do repetitive tasks or to outsource that work, making it hard to manage the data workflow. There is a need to automate this type of process. In this context, the following paper presents a preliminary study and review of technologies, tools and recent research strategies for invoice management mainly in the scope of robotic process automation tools." @default.
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- W3174654911 date "2021-01-01" @default.
- W3174654911 modified "2023-10-16" @default.
- W3174654911 title "Artificial Intelligence Optimization Strategies for Invoice Management: A Preliminary Study" @default.
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- W3174654911 doi "https://doi.org/10.1007/978-981-16-1089-9_19" @default.
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