Automation and optimization of contractor credit scoring
Meet PGE
The PGE Capital Group is the largest company in the Polish electric power sector in terms of revenue and generated profits. The Group is also one of the largest employers in Poland, providing employment to over 40,000 people across the country.
Challenges we took on 🚀
Manual processes
The solution for assessing the risk of cooperation with specific contractors required manual data entry from various sources.
Time-consuming credit scoring
Manual processes resulted in prolonged and error-prone credit score assessment.
We automated processes 💡
Scoring model optimization
The new model uses various behavioral, geographical and financial indicators alongside historical collaboration data.
Process automation
The entire process of data retrieval, company assessment, and outcome oversight has been automated using our Scoring.one platform.
Tangible business benefits ✅
A 20% time reduction in credit score acquisition
Automatic data retrieval and internal rating estimates have reduced manual labor (collecting and entering data)
Reduced operational risk
Potential errors which tend to occur during manual data entry have been eliminated.
Optimized credit scoring process
Contractors with weaker financial conditions are identified with higher precisio, thereby reducing associated credit risks for PGE.
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