Edouard Beauvois
CEO
AiVidens
The startup offers a financial platform that utilizes AI to predict customer payment behavior and segment debt portfolios based on risk. By analyzing business data, it identifies potential payment issues and recommends targeted collection strategies, enhancing cash flow management for businesses.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Financial Technology
- Software Only
Updated 5 months ago
Funding
Raised to date
$3.2MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Many businesses struggle with inefficient receivables management, leading to delayed payments, increased bad debt, and inaccurate cash flow forecasting. Traditional methods often lack the ability to proactively identify and address potential payment issues, resulting in reactive and time-consuming collection efforts.
Solution
AiVidens offers an AI-powered receivables management platform that analyzes business data to predict customer payment behavior and segment debt portfolios based on risk. The platform enables businesses to anticipate payment issues before they impact cash flow by leveraging predictive analytics and custom KPIs. AiVidens automates and streamlines the collection process, allowing for proactive measures and structured workflows. By providing insights into customer payment behaviors, the solution helps businesses optimize their collection strategies, improve operational efficiency, and reduce the number of unpaid invoices. The platform integrates with existing ERP systems through a universal connector, ensuring seamless data flow and efficient implementation.
Target Audience
AiVidens primarily targets finance departments and credit managers in B2B and B2C companies with recurring customers who seek to optimize their order-to-cash cycle, reduce DSO (Days Sales Outstanding), and improve cash flow forecasting accuracy.
Features
- AI-driven predictive models to determine the probability and timing of customer payments
- Automated segmentation of receivables portfolios based on risk profiles and payment behaviors
- Predictive cash forecasts that incorporate customer behavior for improved accuracy
- Simulation tools to test and optimize collection strategies
- Case management features for handling disputes and payment promises
- Universal connector for seamless integration with various ERP systems (SAP, Netsuite, Unit4, Sage, etc.)
- Customizable dashboards for analyzing payment risk and portfolio performance
- Integration with external data sources such as CreditSafe