Artificial intelligence optimization strategies for invoice management : a preliminary study

It is very common for companies to receive invoices (and other semistructured 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) an...

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Detalhes bibliográficos
Autor principal: Lima, Rui (author)
Outros Autores: Paiva, Sara (author), Ribeiro, Jorge (author)
Formato: conferenceObject
Idioma:eng
Publicado em: 2022
Assuntos:
Texto completo:http://hdl.handle.net/20.500.11960/2907
País:Portugal
Oai:oai:repositorio.ipvc.pt:20.500.11960/2907
Descrição
Resumo:It is very common for companies to receive invoices (and other semistructured 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.