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Intelligent Analysis of Payment Experiences with AI

Automate your risk management with AI-based analyses and forecasts of internal payment experiences.

ALEVA Zahlungserfahrungen

Improve Risk Assessment with AI-based Payment Experiences

Risk managers face the daily challenge of minimizing risk in the processing of transactions. After all, bad debt losses can only be minimized if the risk of default is analyzed regularly and identified at an early stage.

With the help of ALEVA Payment Experiences, your internal payment experiences are analyzed and evaluated by our models. The analyzes can be used to determine default probabilities and create risk forecasts that can be used as a basis for decision-making.

Our intelligent and dynamic evaluation of internal payment experiences allows you to improve and relieve your credit risk management.

Overview of Functions

Current AI models

ALEVA: What AI-based Payment Experiences offer

  • Design of efficient risk management processes
  • Reduction of DSO (Days Sales Outstanding)
  • Support for your decisions
  • Early warning system for impending bad debts
  • Complete integration into your systems
Product Information

AI-based Analyses of Payment Experiences

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AI-based Payment Experiences

Automate your risk management with AI-based analyzes and forecasts of internal payment experiences.

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Benefits of AI-based Analyzes

Customized Solution

Reduction of costs and resources through customized process automation

Best-Practice

Automated evaluation and adaptation of AI during operation

Data Process Optimization

Minimization of manual effort through targeted evaluation of customer data

Increased Efficiency

Optimization through data-oriented decision-making processes that map a variety of factors

New Business Models

Development of new business models by identifying potentials

Do You Have Further Questions About Our Products & Services?

Then simply get in touch with us.

Your Contact Person
Julius Pfahl

As a Business Development Manager in the Financial Services unit, Julius Pfahl has extensive knowledge of factoring and the development of AI-based systems to optimise credit risk management. He supports companies in the development of concepts for the automation of credit risk management and their successful implementation.

Business Development Manager, SCHUMANN

Pfahl Julius