Sökning: "Invoice handling"

Visar resultat 1 - 5 av 24 uppsatser innehållade orden Invoice handling.

1. 1. Artificiell Intelligens i redovisningsprocessen : En kvalitativ studie av svenska medelstora företag

   Kandidat-uppsats, Högskolan i Skövde/Institutionen för handel och företagande

   Författare :Johanna Lundgren; Emma Forsell; [2023]
   Nyckelord :Artificial intelligence; digitisation; medium-sized companies; accounting process; Artificiell Intelligens; digitalisering; medelstora företag; redovisningsprocessen;

   Sammanfattning : Bakgrund: Vi befinner oss i nya tider där mycket grundas på teknologisk innovation. Organisationer har sedan långt tillbaka siktat mot att tilldela fler uppgifter till maskiner för att minska kostnader och förbättra effektiviteten. LÄS MER

3. 2. Fallstudie om resurs- och kostnadseffektiviteten för logistiklösningen på byggprojektet Elisabeths port

   M1-uppsats, Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

   Författare :Simon Johansson; Samuel Johansson; [2023]
   Nyckelord :Bygglogistik. Resurseffektivitet. kostnadseffektivitet;

   Sammanfattning : The construction sector is an important industry that contributes to societal development by providing housing, public buildings, and infrastructure. To meet the high demand for construction while maintaining high quality and short project times,one needs to tackle one of the industry's major problems: waste. LÄS MER

4. 3. Classification of invoices using a 2D NLP approach : A comparison between methods for invoice information extraction for the purpose of classification

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Linnéa Fredriksson; [2023]
   Nyckelord :Key-field extraction; Invoices; 2D NLP; Document Intelligence; Visually Rich Documents; LayoutLMv3; Nyckelfältsextraktion; Fakturor; 2-dimensionell naturligtspråkbehandling; LayoutLMv3;

   Sammanfattning : Many companies are handling a large number of invoices every year. To manually categorize them takes a lot of time and resources. For a model to automatically categorize invoices, the documents need to be properly read and processed by the model. LÄS MER

5. 4. Machine Learning Algorithms to Predict Cost Account Codes in an ERP System : An Exploratory Case Study

   Kandidat-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Alexander Wirdemo; [2023]
   Nyckelord :Artificial Intelligence; Machine Learning; ERP; invoice automation; RPA; Random forest; Naïve Bayes; k-Nearest Neighbor; Artificiell Intelligens; maskinlärning; ERP; fakturaautomation; RPA; Random forest; Naïve Bayes; k-Nearest Neighbor;

   Sammanfattning : This study aimed to investigate how Machine Learning (ML) algorithms can be used to predict the cost account code to be used when handling invoices in an Enterprise Resource Planning (ERP) system commonly found in the Swedish public sector. This implied testing which one of the tested algorithms that performs the best and what criteria that need to be met in order to perform the best. LÄS MER

7. 5. Back and Forth ConversionBetween PEPPOL and Odo

   M1-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Björn Hayer; [2022]
   Nyckelord :PEPPOL; Odoo; Invoice; Data conversions; XSLT;

   Sammanfattning : The use of fully digital means of transmitting, receiving and handling financial messages between companies and public institutions are becoming increasingly common and is indeed already required by some public institution, particularly in the European Union. The standard used for the EU is the Pan-European Public Procurement Online (PEPPOL), which provides a framework for how invoices, orders and other financial messages, are not only to be transmitted but also encoded in a standardised way, so that they can be ’read’ by the receiving system, without the need for manual human intervention. LÄS MER