CASE STUDY
Assistance system for an international insurance company
CHALLENGE
Many of our B2B clients faced difficulties in assessing the credibility of their business partners and the associated risks. Verification processes were time-consuming, requiring manual searches across multiple databases and in-depth information analysis. This led to delays and increased operational costs. There was a need to automate this process using modern AI and Machine Learning technologies.
SOLUTION
We developed an advanced AI-based system that automatically profiles companies and generates their risk scoring. The system integrates with various databases (including KRS, GUS, debtor registers) and analyzes financial data, online reviews, and business history to provide a comprehensive risk assessment.
SYSTEM FUNCTIONALITY
- Retrieving external data (KRS, GUS, BIG, debtor registers, online review sources)
- Analyzing financial indicators and debt levels
- Assessing reputation through sentiment analysis of online data
- Utilizing Machine Learning to predict business cooperation risks
- Generating credibility scoring (e.g., on a 0-100 scale)
- Automated reports for sales and accounting departments
TECHNOLOGIES
- Microsoft Azure (Azure AI, Azure Functions, Azure SQL Database)
- ML.NET
- C#/.NET
- API integrations (GUS, KRS, BIG, debtor registers)
- Sentiment analysis and NLP
RESULTS
- Reduction of contractor verification time from several hours to just a few minutes
- Increased transaction security and minimized risk
- Automation of decision-making in contract agreements
- Improved efficiency of sales and finance departments
- Better protection against insolvent business partners
SUMMARY