The Collections Management AR Execution App accelerates cash flow while minimizing costs by making every customer interaction more valuable.
Getting your customer to pay means working with the right customer, at the right time, armed with the right information. But most collections departments are forced to rely on gut feeling rather than data because of the complex and fragmented systems they work in.
Forecasting is inaccurate, customer outreach is entirely based on judgment, and almost everything is incredibly manual.
This is where Celonis comes in.
Get a precise, risk-based forecast by using Machine Learning to analyze the risk of non-payment for each single invoice
Benefit from a holistic view of your customer by pulling data from every system and prioritize based on likelihood-to-pay
Increase productivity by automating communications and source system updates, so your collectors can focus on customers
Maximize your execution capacity across these KPIs
Days Sales Outstanding
Collection Effectiveness Index
Operational Cost of Collections per Customer
Achieve maximum capacity in AR
Understand your Collections
Come to grips with how your AR really runs with process mining.
Focus on the right customers
Predict likelihood-to-pay with machine learning.
Reduce manual work
Take touchless action across your ERP, CRM, and email with automation.
The app leverages process mining technology to extract data in real-time from source systems and measure capacity. It identifies and visualizes execution gaps — like high value invoices at risk of non-payment — that limit your execution capacity.
The app knows the right course of action to close gaps. Based on machine learning and execution best-practices, it suggests the best steps — such as automatically requesting support from sales for high-risk customers— to eliminate the most impactful execution gaps and help maximize execution capacity.
The app takes action in a number of ways. It automates real-time actions across systems — such as automatically logging a customer escalation in your CRM — as well as deploys the right people to remove gaps — highlighting a pattern of broken promise-to-pay dates, for example.
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