Invoice & Collections
Collections rarely fails for lack of intent. It fails because the AR clerk runs the aging report on Friday, sends a batch of reminders Monday, and the cycle resets before the next bucket gets touched. This playbook works the aging continuously, escalates by bucket, and applies cash against open invoices the day the bank feed clears.
The problem
DSO creeps the same way every quarter. A handful of large accounts sit in the 60-to-90 bucket because no one called. Mid-sized customers get the same reminder three times in a row because the template never escalated. Disputes surface only when a collector finally picks up the phone. The allowance for doubtful accounts absorbs the difference, and the CFO asks why DSO moved against plan.
How DataChi runs it
DataCHI reads the open AR ledger, segments by customer, aging bucket, and prior payment behaviour, and runs a graduated cadence across email, portal, and call task. Disputes are flagged to the account owner with the invoice, PO, and prior correspondence attached. Cash receipts from the bank feed are matched against open invoices and proposed for posting, with remittance advice parsed for short-pay reasons.
What's included
- AR aging segmentation by bucket, customer risk, and payment history
- Graduated reminder cadence per bucket with tone and channel escalation
- Customer-specific holds, payment plans, and promise-to-pay tracking
- Dispute capture with the invoice, PO, and prior thread attached
- Cash application from bank feed and remittance advice against open invoices
- DSO, CEI, and aging dashboards reconciled to the GL
Who it's for
Controllers, AR managers, and CFOs at B2B companies running invoice-based billing where DSO and bad debt expense move the working-capital line.
Outcomes
- DSO movement explainable by bucket, not by aggregate guess
- Fewer accounts aging past 90 without a documented dispute or PTP
- Cash applied same-day, short-pays flagged with remittance evidence
Ready to run Invoice & Collections with DataChi?
See the playbook in action with your data, your stack, and your team.
Book a 20-minute demo