POM AI wins SRCM Sustainable Credit Management Accent
Exactly four weeks ago, on Thursday, November 6, POM experienced a new highlight. During Credit Expo, we got the 'SRCM Sustainable Credit Management Accent'receive for our innovation: POM AI. A recognition that confirms the core of our mission: achieving Peace of Mind (POM) for both organizations and its customers.
The SRCM accent is intended for organizations that make a significant contribution to a sustainable solution to the debt problem in the Netherlands. This award proves that the combination of advanced technology and human attention is the most efficient and ethical strategy in credit management.
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Why sustainability requires change
Traditional credit management processes are often rigid and ineffective. Organizations still use one fixed pattern: day 1 an email, day 14 reminder email and day 30 a letter. This' one-size-fits-all 'process leads to three undesirable results:
- Higher operating costs: Many ineffective actions result in a low return per euro invested.
- Unnecessary escalations: Customers are confronted with collection processes at an early stage, which drives up the costs.
- Damage to customer value: A generic approach damages customer relationships and long-term value.
An approach that we call “shooting with hail” and hope that payment will be made. But hope is not a strategy. The social and financial challenges require a smarter, data-driven approach.
The benefits of statistical predictability
POM AI breaks this pattern. Our award-winning model has been trained on more than 500 million anonymized payment requests and combines two powerful elements: behavioral data and statistical AI. It continuously learns from payment behavior and converts those insights into a personalized and predictive strategy for each individual claim.
- Predictive steering: The system chooses the real-time optimal channel and it ideal moment to get in touch, based on the highest probability of payment.
- Behavioral analysis in action: For example, if a customer visits the payment page three times without paying, POM AI signals immediately intention combined with a possible liquidity problem. This triggers a rapid, human intervention with targeted help, such as a payment arrangement or referral to debt counseling.
Hard numbers prove efficiency
The implementation of POM AI resulted in immediate, measurable points, which also convinced the jury:
- 52% fewer royements: In an implementation at a leading financial service provider, we saw a decline of 52 percent in the number of forced collection proceedings/withdrawals. This is a direct reduction in operational risk and costs.
- 6 days faster payments: On average, payments arrive six days faster, which means outstanding days of sales (DSO) significantly improves.
- Lower operating costs: Fewer untargeted actions and manual follow-up translate directly to lower cost to collect.
This is proof that efficiency and ethics go hand in hand.
The indispensable role of the human being
A crucial element of POM AI is the 'human in the loop'-principle. AI makes the statistical prediction, but the employee tests, validates and fine-tunes decisions. Human assessment remains essential for assessing the context and safeguarding responsibility, essential for compliance.
We look back on this milestone with pride. The future of credit management is personal, measurable and adaptive. And that future started today thanks to POM AI.
Discover how this winning technology can also give your organization and its customers Peace of Mind.
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