Client Verification Simulator
Simulate how AI can assess a new client’s reliability using basic business information. This helps prevent risky deals and improves trade confidence.
What Is This Tool and How Does It Work?
The Client Verification Simulator shows how AI can help you assess the reliability of potential clients before doing business—especially useful in agri-trade, where delayed payments or untrustworthy buyers can result in significant losses.
Simulated Case Example:
A wholesaler is approached by a company named AgroNova, based in Barcelona, with 2 years of trading history. By inputting these details, the simulator estimates the client’s reliability as Moderate, helping the user make more informed decisions.
In real-world applications, an AI client verification engine could analyse company records, payment history, certifications, and public data to generate far more accurate and data-driven reliability scores—saving time and preventing costly mistakes.
How to Use It
Use Clear to test another scenario.
Enter the client’s name.
Provide their city or region.
Indicate how many years they’ve been in business.
Click “Simulate Verification” to see a mock reliability score.