Automation and improved effectiveness of the creditworthiness assessment process for contractors
Industry: Energy
Work Automation
Reduction of manual work and decrease in operational risk
Accurate Scoring
Improved rating model quality (ROC 83%-95%)
Risk Optimization
Increased efficiency in the risk management process
CLIENT
Meet PGE
PGE Capital Group is the largest power company in Poland, providing energy to over 5 million customers and employing over 40,000 people.
CHALLENGE
Manual Risk Assessment Processes
PGE Group assesses the creditworthiness of contractors to minimize cooperation risk, but the previous rating model required manual data entry, which slowed down the process.
Find out how PGE automated and improved the effectiveness of its creditworthiness assessment process.
SOLUTION
Automation of Creditworthiness Assessment
Through collaboration with Algolytics, PGE Group automated the assessment of contractors’ creditworthiness, reducing analysis time and improving model performance (ROC 83%-95%, Gini 66%-90%).
RESULTS
Effective Financial Risk Management
Automating the creditworthiness assessment process at PGE Group significantly improved the current process, increased work efficiency, and enhanced financial risk management by:
- Reducing the time required to assess contractors' creditworthiness by approx. 20%
- Reducing operational risk
- Improving the effectiveness of the creditworthiness assessment process
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