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October’s updates at Pave focus on one theme: using deeper data to drive smarter, faster, and fairer credit decisions. From improved integrations to sharper models, we’ve expanded how you can understand your customers and act on those insights with confidence.
Customizing the Cash Advance Score
Clients can now validate and fine-tune their Cash Advance Score by:
- benchmarking score performance against their own outcomes and available third‑party baselines,
- setting amount‑specific thresholds to separate safer from riskier users,
- pairing underwriting with income‑aligned collections timing,
- and using predicted next‑pay dates to improve repayment.
Customizing Pave’s Cash Advance Score enhances its accuracy and effectiveness compared to the standard off-the-shelf version. This allows clients to make quicker and more informed credit decisions, resulting in more approvals and better repayment rates.
Introducing Self-Reported Data
Discrepancies between self-reported and actual income are now treated as a powerful risk signal. By combining loan application data (such as self-reported income, rent, and employment status) with verified cashflow data, customers can generate richer attributes and more accurate predictive risk scores. This integration enables deeper insights into applicant reliability and enhances overall risk assessment accuracy.
Smarter Transaction Location Detection
Our new named entity recognition (NER) model for location now delivers more than double the accuracy in identifying where transactions occur, down to the city and state level. For clients with personal financial management tools, clearer transaction data helps end-users recognize their purchases faster, reducing disputes and enhancing their personal finance experience.
Deeper FIS & Fiserv Integrations
We’ve deepened our integrations with FIS and Fiserv, enhancing how we identify merchants and capture key transaction types like transfers and overdraft protection. With richer, more complete data, clients gain earlier behavioral insights and a stronger foundation for confident credit and risk decisions.
Plaid Update: Multi-Item Integration
We now support easier integration of multiple Plaid items, allowing customers to aggregate and analyze accounts across multiple institutions. This provides a more complete view of consumer finances, improving data quality and enabling cleaner analytics for more accurate scoring and portfolio insights.
New Attributes:
We’ve added four new attributes to help predict the days and values of future income, supporting cashflow forecasts:
- number_of_days_until_next_income
- number_of_days_until_next_stable_income
- income_next_date_day_of_week
- stable_income_next_date_day_of_week
