Consumer Lending Hub | Decisimo

Published on: 2024-08-10 18:37:05

In consumer lending, decision-making centers on several areas: anti-fraud, loan underwriting, credit limit setting, cross-/up selling, portfolio management, and debt recovery. A data-driven company can automate each area with the help of a decision engine.

If you are new to consumer lending and plan to set up a consumer lending business, you can learn more from our overview.

This hub covers topics related to decision-making across key areas of consumer lending.

Anti fraud

Loan underwriting

Portfolio management

Data Analytics

Decisimo decision engine

Try our decision engine.

Related Articles

  • Why BNPL Changes the Economics of Consumer Finance

    Consumer finance has always depended on a simple idea: lend against something that creates value or preserves access to value. Buy now, pay later changes that model. It combines parts of installment lending, revolving credit, and merchant finance, but it also changes the risk profile, the economics, and the operating model.

    This article looks at consumer finance through the lens of business model design, credit risk, fraud risk, portfolio risk, operational risk, and return on capital.

  • How Rule Engines Improve Insurance Operations

    Rule engines use explicit decision logic to automate underwriting, pricing, claims, and risk workflows. This article explains how automation improves consistency, reduces processing time, and strengthens risk controls across insurers.

  • Key Metrics and Steps to Improve Collection Efficiency

    Collections protects cash flow by turning past-due invoices into cash and reducing bad debt. This article covers the key KPIs, including recovery rate, average days to collect, and cost of collections, and outlines practical steps to measure, monitor, and improve collection efficiency.

  • Anti-fraud decision logic for consumer lending / BNPL

    After eligibility checks, add anti-fraud rules to the same decision flow. For consumer lending and BNPL, combine KYC verification with velocity, volatility, and concentration/networking controls to stop fraud early. This article explains four rule types (veracity, volatility, velocity, concentration/networking), which signals and data points to cross-check, and practical steps to add these checks to your decision flow to detect synthetic identities and suspicious application patterns.

  • From Contract to Collection: Selling Debts in Consumer Finance

    Consumer debt collection works best when the process is structured, measurable, and consistent. This article covers Promise to Pay tracking, collection call scripts, the risks of freestyling, and how teams should handle broken commitments and restructurings.