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CASE STUDY

Intelligent accounts receivable matching

Accenture adopts SAP® Cash Application enabling intelligent receivable matching automation through embedded machine learning.

Call for Change

When tech meets human ingenuity

"We are setting a new standard for Accenture by moving from a rules-based system to a deep learning model with SAP Cash Application."

— JOSEFINA YACONIS, Senior Manager – Global IT, Finance Applications, Accenture

Contributing to a better application

Progressive deployments

"The collaboration of our Global IT organization and SAP on the development of the technical solution combined with our cash application team’s process knowledge is what led to the right result for the business."

— RONALD STEVENS, Managing Director – Controllership Capability, Accenture

A valuable difference

Greater accuracy in applying cash daily

Faster application of payments that in turn reduces open accounts receivable balances

Lower unapplied cash balances

Prevention of capital charges

Reduction in peak time processing—month end, quarter end and year end

Increased speed on collection process

''The shift to machine learning is transformational and will help prepare for Accenture’s projected growth in invoice and payment volume. It has also given us the confidence to consider machine learning and AI for other processes.''

— CARSTEN POULSEN, Managing Director – Finance, Transformation Technology, Accenture

Meet the team

Ronald Stevens

Managing Director – Finance Operations Controllership Lead

Eli Lambert

Managing Director – Global IT, Finance Platforms

Carsten Poulsen

Managing Director – Finance, Transformation Technology

Valeria Giarizzo

Senior Manager – Finance, Finance Process

Michalene Schechter

Director – Global IT, SAP Platform Architecture

Josefina Yaconis

SAP Digital Enterprise & OTC Capability Lead
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