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In this post, we explore how unpredictable markets are forcing finance teams to rethink credit and collections strategies. Static credit models and rigid rules are giving way to dynamic, real-time data-driven frameworks that can adapt to shifts in customer behaviour and external uncertainty. Intelligence, granularity, and automation are key—prioritizing accounts based on live signals, using personalized outreach, and embedding risk monitoring directly into the workflow. Ultimately, it’s about shifting collections from being reactive cost-centres to proactive value generators, improving cash flow, reducing bad debt, and safeguarding financial resilience.
https://blog.datamatics.com/redesigning-risk-dynamic-credit-and-collections-strategies-for-unpredictable-markets
By DatamaticsIn this post, we explore how unpredictable markets are forcing finance teams to rethink credit and collections strategies. Static credit models and rigid rules are giving way to dynamic, real-time data-driven frameworks that can adapt to shifts in customer behaviour and external uncertainty. Intelligence, granularity, and automation are key—prioritizing accounts based on live signals, using personalized outreach, and embedding risk monitoring directly into the workflow. Ultimately, it’s about shifting collections from being reactive cost-centres to proactive value generators, improving cash flow, reducing bad debt, and safeguarding financial resilience.
https://blog.datamatics.com/redesigning-risk-dynamic-credit-and-collections-strategies-for-unpredictable-markets