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Predicting invoice payment is valuable in multiple industries and supportsdecision-making processes in most financial workflows. However, the challengein this realm involves dealing with complex data and the lack of data relatedto decisions-making processes not registered in the accounts receivable system.This work presents a prototype developed as a solution devised during apartnership with a multinational bank to support collectors in predictinginvoices payment. The proposed prototype reached up to 77\% of accuracy, whichimproved the prioritization of customers and supported the daily work ofcollectors. With the presented results, one expects to support researchersdealing with the problem of invoice payment prediction to get insights andexamples of how to tackle issues present in real data.

Optimize Cash Collection: Use Machine learning to Predicting Invoice Payment