
October 30, 2025

Choosing a credit scoring model is not a minor technicality; it is a strategic growth lever that directly influences profitability, portfolio performance, and client relationships.
While Off-the-Shelf (Generic) models offer speed, simplicity, and baseline accuracy, Custom (Tailored) models go further. They embed your internal policies, market dynamics, and specific risk appetite into the decision-making process, producing results that closely align with your business objectives. Standard models optimize for broad coverage, often missing signals unique to your portfolio, data, and underwriting processes, which can negatively impact both conversion and portfolio performance.
The real question is not which option is "better," but which aligns with your current situation: your growth stage, data maturity, and strategic horizon. In practice, this means balancing short-term convenience against long-term precision.
Equipment Finance has distinct complexities that demand precision in risk assessment: diverse collateral types, vendor-driven programs, asset-backed structures, variable cash flows, and specialized underwriting policies.
Scoring models that capture these nuances don't just influence approval rates; they define pricing strategy, time-to-decision, negative outcomes management, and even collections strategy. A well-matched model compounds its impact across every origination, risk assessment, and client interaction.
Off-the-Shelf models are prebuilt scorecards, trained on broad commercial or consumer datasets, and delivered by bureaus or vendors (e.g., Equifax’s PayNet MasterScore for commercial information, or FICO Score for consumer).
Value with Scarce Data: Valuable when internal historical data is limited or unreliable.
Off-the-Shelf models are well-suited for scenarios where speed is critical: launching a pilot program, entering a new segment with little internal data, or underwriting small-ticket leases or lower-risk transactions where extreme precision is less essential. They deliver fast Time-to-Value and create a consistent foundation while your business scales toward more advanced approaches.
Custom models are built using your own historical applications, portfolio performance, outcomes, and internal policies. They are often enriched with external sources (bureaus, banks, alternative data). Their objective is to translate your credit philosophy and risk appetite directly into a model clearly aligned with the business.
Full Transparency: Provides explainable and transparent results, which is essential for trust among analysts, underwriters, auditors, and stakeholders.
Customization pays off when portfolio performance relies on details that generic models cannot capture (e.g., regional patterns, risk factors for specialized equipment, or high-volume vendor programs). Developing segment-specific models maximizes accuracy, and regular monitoring ensures resilience as economic conditions and the business shift.
Off-the-Shelf models are the gateway: efficient, practical, and cost-effective for initial needs. Custom models are the engine that drives long-term success: precise, adaptable, and strategically aligned.
Leading lenders in the leasing sector do not view this as an either/or decision; they start with standard models to accelerate initial results, then transition or complement with custom models to unlock sustained competitive advantage.
At Kin Analytics, we develop custom credit scoring models designed to evolve with your business. Our solutions embed your policies, data, and strategy into every decision, enabling smarter underwriting, stronger portfolios, and sustainable growth.
Whether you are rolling out a new program, refining your underwriting process, or scaling your existing operations, our team partners with you to design models that deliver immediate value and lasting advantage.
Ready for the growth engine? Speak with our experts to design your Tailored Credit Scoring Model that truly reflects your business and risk profile.