Complex customer landscapes, fragmented data systems and manual processes challenge your Accounts Receivable department and strain your working capital. Improve free cash flow while reducing operating costs by centralizing data across source systems, intelligently prioritizing collector actions and streamlining process execution.
Accelerate collections through intelligent collector prioritization
Most AR organizations are still forced to rely on basics like balance age and size – and their own gut feelings– when it comes to customer outreach. Which means that despite your team’s best efforts, it’s an uphill battle to meaningfully reduce past dues.
Leverage unique insights derived from process mining to drive intelligent, data-driven prioritization of balances and customers. Make more informed decisions and engage customers more proactively and effectively.
Eliminate unnecessarily manual steps
Much of your team’s work is still manual: reporting in Excel, gathering data on sales changes, shipment errors, and billing delays across too many systems and documents, managing team tasks via email, and offline tracking of key developments.
Streamline and automate common manual steps such as dunning outreach, dispute coding or credit approvals to free up valuable time for your teams and improve Accounts Receivable processes.
Ensure payment term compliance
Securing favorable payment terms with your customers is a hard-won battle. But all too often, that good work goes to waste when invoices go out with incorrect – and less advantageous terms.
Ensure that every invoice adheres to the latest terms and conditions by proactively correcting master data, flagging instances where sales teams change the terms, and monitoring deviations from protocol.
Prevent underpayments by monitoring outstanding balances
A complex and constantly evolving landscape of customers and balances makes customer payment accuracy difficult and time consuming to track.
Manage outstanding customer balances centrally and efficiently, while taking proactive action against instances of problematic payments - for example, cases where customers take cash discounts despite paying later than terms dictate.
Monitor credit behavior and address evolving risks
Credit utilization and risk tracking is cumbersome due to decentralized data systems, while rigid approval processes delay the commercial cycle and push out customer deliveries.
Drive faster credit decisions by leveraging intelligent credit limit suggestions, and use automation and system orchestration to simplify and accelerate the approval process.
Kickstart a focused value journey with ease
The Celonis EMS opens up a near-infinite number of use cases for process improvement.
Prioritize the most powerful Accounts Receivable use cases for your organization based on the highest potential value and take advantage of guided flows to drive solutioning. Built on our repository of aggregated process knowledge, The Starter Kit helps you connect to your systems, assess improvement opportunities, and get to value that much faster.
Leverage process insights to power your collections efforts
Data complexity, reactive prioritization and manual work leave your collectors fighting fires rather than preventing new ones.
Empower your teams with a single application to intelligently prioritize collections efforts, efficiently engage customers, and seamlessly capture developments such as disputes or promises to pay.
Diagnose and resolve customer disputes precisely and efficiently
Reactive, one-off customer dispute handling has your teams constantly playing catch-up.
Track the root causes and impact of disputes, leverage automated reason coding and email templates, and accelerate both diagnostics and dispute resolution at scale.
Achieve operational excellence in your credit processes
High-touch credit risk evaluations and slow credit approvals create friction both internally and with the customer.
Combine data-driven risk assessment with centralized customer information to streamline credit approval processes while systematically minimizing risk.
Integrates real-time and streaming data across systems, desktops, and documents.
X-Rays processes for inefficiencies and recommends improvements.
Fixes inefficiencies automatically and orchestrates your existing technologies.
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