Episode 364
Intelligent Automation: Modernizing Collection Activity with Deluxe
As payment methods diversify and customer expectations increase, the traditional collection and lockbox processing model must evolve. The growing complexity of incoming payments—especially non-conforming mail and unstructured transactions—coupled with the change in expectations, demand smarter, scalable solutions. This situation of complexity and expectations has ushered in a new era of modern collection processing, focused on eliminating manual inefficiencies and using intelligent automation tools to improve accuracy and data quality, driving faster payment processing and improved operational throughput and scalability.
Deluxe’s Dave Boyce sits down with Craig Jeffery on the Treasury Update Podcast to talk about the latest capabilities lockbox providers can use to improve their existing processes and meet the growing needs of corporations.
In this episode, we’ll discuss some key features of modern collection solution sets:
- Virtual batching
- Machine learning-driven recognition
- Historical learning
- Intelligent character recognition (ICR) technology
Host:
Craig Jeffery, Strategic Treasurer
Speaker:
Dave Boyce, Deluxe
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Related Resources
AP Automation Readiness Survey Report
This rapid research survey, sponsored by Deluxe, gathered information on the AP industry’s pain points, concerns, plans, and processes, focusing on automation.
More than 100 corporate treasury and finance professionals participated in this research by answering twenty survey questions.
Access the key findings from this research today!
Time to Value, Time to Revenue: How Partnerships Are Expediting Implementation with Deluxe
In today’s podcast, Craig Jeffery speaks with Rick Scholz from Deluxe to explore how strategic partnerships are being formed to overcome resource constraints. They discuss the role of embedded banking, the growing reliance on external parties for advisory support, and the increasing demand for faster implementation and revenue generation. Listen in to learn more.
