Predicting when an invoice will actually clear is a deceptively hard problem — payment behavior varies wildly by client, region, and season.
We trained a gradient-boosted model on historical clearance data and exposed predictions through a Flask API, with a React dashboard for the finance team to explore confidence bands per client.
The unglamorous part — data cleaning and feature engineering — took far longer than the model itself. That is usually true.
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