finance_ops · workflow
Shopify Capital uses quantile regression to predict merchant sales and determine cash advance eligibility
Shopify Capital needed to accurately predict future merchant sales to offer cash advances responsibly, but standard regression only fits the average of a distribution and fails to capture prediction uncertainty — a critical gap for risk-appropriate lending decisions.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Merchant capital request
Shopify Capital evaluates merchant eligibility for a cash advance.
Tools used
quantile regression
Outcome
Using quantile regression, Shopify Capital can offer advances to both new and established merchants while ensuring each advance has a high probability of repayment, and merchants who grow cycle back into the model for larger future offers.
Grounding & classification
Source type: technical build writeup
12 fields verified against source quotes.
forecastingpredictive analyticsnamed customerproduction runtime claimedtools describedworkflow describedsoftwareerror reductiontechnical build writeupfinance ops