What are the most common data points included when configuring Retail Loan Auto-Decisioning?

In the context of configuring Retail Loan Auto-Decisioning, the inclusion of the loan amount is particularly crucial because it serves as a fundamental determinant in the decision-making process for lending. Loan amount directly influences both the risk assessment and the eligibility criteria for borrowers. Lenders typically have specific thresholds that categorize loans into different risk profiles based on the amount requested. This categorization can dictate the approval process, interest rates, and terms offered to the borrower.

Loan amounts are a primary input for many automated decisioning systems, as they help assess the borrower's needs in relation to their financial profile. By incorporating loan amount as a data point, the system can streamline approvals, ensuring that applicants are matched with products that align with their financial situations.

Other factors, although relevant in the broader decision-making context, do not have the same foundational impact on auto-decisioning as loan amount does. Thus, focusing on the loan amount ensures a more efficient and accurate decision process within the auto-decisioning framework.