LatePay — know which invoices will ghost you, before they do 💸
说明与用途
LatePay 帮助自由职业者预测发票延迟付款,并为每个风险等级提供具体行动建议。
问题
Freelancers struggle with delayed payments, risking cash flow when a single late payer stalls revenue for a month.
结果
LatePay provides a risk‑based prioritization of invoices, reducing the likelihood of cash‑flow disruptions by guiding freelancers on when to chase, request upfront payment, or send polite nudges.
工作流
- 1. Enter invoice details (amount, client tenure, prior late rate, etc.) into the form.
- 2. TabPFNClassifier performs in‑context inference on a 1,000‑row simulated dataset to predict P(paid >30 days).
- 3. The system outputs a risk band and a clear action (e.g., chase now, request upfront, send nudge, or normal terms).
- 4. For batch scoring, upload a CSV of invoices; the tool returns a scored risk report with recommendations per row.
- 5. Users can review the static demo with precomputed predictions or import real invoice history for personalized context.
证据
LatePay — a late-payment risk predictor that scores every outstanding invoice with TabPFN, the open-source tabular foundation model, and tells you what to do about it: chase now, ask for partial upfront, send a reminder, or relax.
TabPFN returns P(paid > 30 days past terms) as a risk band: HIGH / MEDIUM / ELEVATED / LOW.
The model learned real, sensible patterns — a clean client scores 5.0% late risk, a serial late-payer 63.4% — but it has never seen a real invoice.
- 记录日期: 2026-10-19T03:56:05.013Z