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Case Study · Finance

Credit risks steered across the entire customer lifecycle

A company with a high volume of receivables combines creditworthiness analysis, credit limits and early warning into a continuous risk process.

Industry
Technology trading
Client
Company with a high volume of receivables

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The situation

External creditworthiness data, internal payment experience and supplier risks were not joined up throughout into consistent credit decisions. Manual checks created effort; changes in the risk profile could be recognised too late.

Our approach

We developed credit policies, risk classes and individual limits. External credit-information data, internal payment information and industry benchmarks feed into scoring, monitoring and early-warning indicators. Credit insurance, dunning and factoring were connected; specialists decide on limits and countermeasures.

The result

Well-founded decisions

Uniform data and rules improve credit assessment.

Early response

Anomalies trigger proactive safeguarding measures.

More predictable liquidity

Dynamic limits and lower default risks stabilise cash flow.

How we implemented the case

  1. 01

    Analyse the portfolio

    Assess customers, suppliers and existing credit processes.

  2. 02

    Define the policies

    Set scoring, risk classes, limits and roles.

  3. 03

    Introduce monitoring

    Bring the data together and automate early-warning indicators.

  4. 04

    Steer the risks

    Adjust limits, collateral and escalations on an ongoing basis.

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Your personal contact

Matthias Schulz

Matthias Schulz

Director Sales

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