FinFloh Credit AI utilizes AI-driven credit decisioning to empower businesses with accurate credit decisions across customer lifecycles. Here are some of its key features:

Core Functionalities

FinFloh Credit AI provides machine learning-driven dynamic credit decision-making, utilizing buyer payment history and behavior to generate accurate risk scores.

• Credit Risk Scoring: Uses market intelligence and buyer behavior to assess risk.
• Automated Decision-Making: Automates buyer onboarding and credit limit management.

Data Handling and Analytics

The software integrates seamlessly with CRM systems to provide data-backed credit assessments.

• Feedback Loops: Integrates scores into CRMs like Salesforce for credit/contract tracking.
• Cash Flow Forecasting: Uses data to predict cash flows and guide credit terms.

Automation Capabilities

FinFloh's AI engine enhances automation in the buyer management process.

• Dynamic Credit Terms: Automatically recommends optimized credit and contract terms.
• Payment Terms Negotiation: Helps structure renewals and foresee cash flows effectively.

Key Advantages Over Competitors

The solution offers distinctive benefits to enhance financial decision-making.

• CRM-ERP Connectivity: Ensures seamless data flow, reducing manual intervention and errors.
• Reduction of Overdue Balances: Minimizes late payments with precise credit terms.

Benefits to Users

FinFloh improves collaboration and reduces financial risks for businesses.

• Collaboration Enhancement: Promotes improved coordination between sales and finance teams.
• Reduced Bad Debt: Accurate assessments reduce exposure to financial losses.

Charts and tables depicting credit risk scores, cash flow impacts, and integration efficiencies could further illustrate these features.