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Tuesday, June 25 • 11:00 - 11:20
Invoice Payment to Optimize Cash Collection

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Predicting invoice payment is valuable in multiple industries and supports decision-making processes in most financial workflows. This work presents a prototype developed as a solution devised during a partnership with a multinational bank to support collectors in predicting invoices payment. The proposed prototype reached up to 83.5% of accuracy, which improved the prioritization of customers and supported the daily work of collectors and we expect to support researchers dealing with the problem of invoice payment prediction to get insights and examples of how to tackle issues present in real data

avatar for Ana Paula Appel

Ana Paula Appel

Researcher and Data Scientist, IBM Research
Ana Paula is a Research Staff Member in IBM Research - Brazil, currently work with large amount of data to do Science WITH Data and Science OF Data at IBM Research Brazil. My technical interesting are in data mining and machine learning area specially in graph mining techniques for... Read More →

Tuesday June 25, 2019 11:00 - 11:20 GMT-03
Room 8 Av. Rebouças, 3970 - Pinheiros, São Paulo - SP, 05402-600, Brazil