Thames Water Reduces Bad Debt 14% Through Personalized Customer Communications
Thames Water cut bad debt 14% in seven months using tailored, multichannel outreach and customer segmentation in deregulated markets.
Thames Water cut bad debt 14% in seven months using tailored, multichannel outreach and customer segmentation in deregulated markets.
Northeast US bank modernized legacy collections amid 80% customer growth—improving efficiency, compliance and digital agility.
Southeast Asian fintech enabled $350M+ in loans, 80% user growth by scaling financial inclusion with secure, high-growth tech.
Phillips & Cohen scaled probate management globally across US, Canada, UK, Australia—using flexible, compassionate tech for international growth.
Maryland’s CCU modernised a 30 year old system, handling 2.7M accounts and boosting revenue 10% via digital, citizen-centric collections.
Trustmark unified siloed collections systems across five states—boosting agent access, visibility, efficiency, and scalability.
Relying on manual checks or static rules is no longer enough. As portfolios grow and delinquency rates fluctuate (especially during economic downturns) staying compliant while maximizing recoveries calls for smarter, more dynamic methods.
The combination of machine learning algorithms, natural language processing, and robotic process automation makes credit decisions quick and accurate.
Set your organization up for long-term collections success with a strategically aligned RFP.
While many institutions prioritize originations in the quest for financial inclusion, collections plays just as important a role.
With intelligent machine learning and live data integration, a decisioning solution provides your team with the ability to identify fraud and take action instantly.
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