All work
182014NETSOL Technologies

Lease Application Lead Scoring

Challenge

Sales teams at OEM finance clients were chasing low-probability leases, eating up cycle time on poor-fit applicants.

Approach

Logistic-regression scoring model on application + bureau features, exposed as an API into the leasing workflow.

Impact

  • Improved closed-lease yield by 18%
  • Cut average time-to-decision from 36 hours to 8 hours
  • Deployed at two international leasing customers
+18%
yield
-77%
decision
2 OEMs
customers

Tech stack

R.NETSQL ServerREST API

Ask anything about Lease Application Lead Scoring

AI scoped to this project · Llama 3.3 70B