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A payment date prediction model for B2B Invoice Management
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Uses Machine Learning to predict the expected due date and the delay bucket for clients based on previous transactions
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The initial dataset contains fields for previous transactions of businesses and we use machine learning to predict the date of the payment clearance using Supervised Learning
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Python and its libraries are used to predict the model (pandas, numpy, seaborn, scikitlearn)
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Predicts the date as well as the supposed delay bucket as:
- 0-15 days
- 15-30 days
- 31-45 days
- 46-60 days
- greater than 60
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Prediction done using regression