FinFloh is an accounts receivable automation platform that utilizes AI-driven credit scoring, predictive analytics, and workflow automation to enhance collections efficiency and reduce days sales outstanding (DSO). The platform addresses the challenges of slow cash flow and high aging balances by streamlining invoice verification, cash application, and dispute resolution processes for B2B finance teams.
Funding
Funding not disclosed
Founders
Product
Problem
Many B2B finance teams face challenges with slow cash flow and high aging balances due to inefficient accounts receivable processes. Manual invoice verification, cash application, and dispute resolution contribute to delays and errors. Traditional credit scoring methods also lack the dynamic insights needed for accurate risk assessment.
Solution
FinFloh offers an AI-powered accounts receivable automation platform designed to streamline the invoice-to-cash process. The platform uses machine learning for credit-risk scoring, predictive analytics for dispute intelligence, and workflow automation to enhance collections efficiency. By automating tasks such as invoice verification, cash application, and collections follow-ups, FinFloh helps businesses reduce days sales outstanding (DSO) and improve cash flow. The system integrates with existing ERP and CRM systems to provide a seamless and comprehensive solution for accounts receivable management.
Target Audience
FinFloh primarily targets CFOs and B2B finance teams seeking to automate and optimize their accounts receivable processes.
Features
- AI-driven credit scoring using market and historical data for dynamic credit risk assessment.
- Automated collections worklist prioritized by risk, amount, and priority.
- Predictive AI for advanced dispute intelligence and automated dispute resolution workflows.
- AI-driven remittance aggregation and capture with exception handling for cash application.
- Automated invoice fetching from ERP/CRM systems with native integration.
- Centralized communication channels for seamless buyer-seller interaction.
- Machine learning-based OCR engine for auto-extracting payment advices.
- Customizable dunning templates and multi-channel payment reminders.