Optimizing payments with machine learning
Describes a classic payment workflow, then how machine learning can replace hard-coded business rules and fine-tune the payment failures/retries loop to increase the success rates of charges.
- from
- Billing
- added
- 2026-10-10
- likes
- 0
similar
-
Reproducible Machine Learning for Credit Card Fraud detection fraud-detection-handbook.github.io
A practical handbook on how to identify patterns in transactions.
-
Training an ML model to score chargebacks threadreaderapp.com
An example of a platform's network effect, which allows to predict the likelihood of winning a dispute.
-
Machine learning predictivity applied to consumer creditworthiness fbj.springeropen.com
Analyzes the adequacy of borrower’s classification models using a Brazilian bank’s loan database, exploring machine learning techniques, and comparing their predictive accuracy with a benchmark based on a Logistic Regression model. Comparisons are based on usual classification…
-
Moonpig: a billing system that doesn't suck blog.plover.com
Design decisions behind a billing and accounting system. Key takeaway: some companies still pays by checks; do not use floats; complex customer workflows; date and time issues; mutable data.
-
Handling system failures during payment communication blogs.dropbox.com
Dropbox's experience trying to account for an unreliable payment provider.
-
Best Practices for Machine Learning Applications pdfs.semanticscholar.org
Billing › Payments > Online Payments: “Describes a classic payment workflow, then how machine learning can replace hard-coded business rules and fine-tune the payment failures/retries loop to increase the success rates of charges.”