Proven results
Autonomous AR is not a concept, it’s measurable performance
Chargezoom delivers consistent, quantifiable improvements across cash flow, collections, and operational efficiency.
This is what happens when accounts receivable runs as a system, not a workflow.
What Customers Achieve
Measured Financial Outcomes
20–35% reduction in DSO
10–25 days faster time to cash
60–75% reduction in AR workload
65–80% of invoices resolved autonomously
50–70% recovery rate on failed payments
These are not incremental gains. They are structural improvements in how cash moves.
Case Study
Automotive Services Company
Cut late payment time in half. Unlocked $600K in working capital.
The Situation
A large automotive services organization was managing thousands of invoices across a distributed customer base.
Overdue receivables had become a systemic issue:
Long delays on late invoices
Manual, inconsistent follow-up
Significant staff time spent on collections
Limited visibility into what actually worked
Cash flow was strong on paper, but constrained in reality.
The Approach
Chargezoom was deployed specifically for late and delinquent invoices, automating:
Timed dunning
communications
Behavior-based payment reminders
Consistent follow-up across all accounts
Embedded payment options to reduce friction
The Results
First 85 days
Faster Communications
- Late invoices paid in 21.5 days (down from 40.5 days).
- 46.9% faster collection on overdue accounts
Accelerated Cash Flow
- $2.7M collected in 85 days
- $11.6M annually collected 19 days earlier
- ~$604K in working capital unlocked
Behavioral
Impact
- Payments within 1 week of first outreach: 51%
- Median response time: 7 days
- Monday payment rate nearly doubled (21% → 41%)
Operational Efficiency
1,342 invoices processed autonomously
111.8 hours of manual work eliminated
Equivalent to 14 full business days saved
Finance teams shifted from chasing payments, to managing outcomes.
Takeaway
This impact came from delinquent invoices alone.
When AR is automated at the system level:
Cash accelerates
Workload drops
Outcomes become predictable
Chargezoom vs traditional ar ai
Performance is driven by data, not messaging.
Most “AI-powered” AR platforms operate on a single dataset. Chargezoom operates on a network.
The structural difference.
Single Merchant Data
Invoice history + reminders
Limited visibility into payment behavior
Cross-merchant payment intelligence
Processor-level telemetry
Real payment behavior across networks
Outcome Comparison
Observed performance differences.
DSO Reduction
Traditional AR AI
Chargezoom
DSO Reduction
5 - 12%
20 - 35%
Time to Cash Improvement
3 - 7 Days
10 - 25 days
Autonomous Resolution Rate
30 - 45%
65 - 80%
AR Workload Reduction
25 - 40%
60 - 75%
Failed Payment Recovery
15 - 30%
50 - 70%
Why the gap exists
This is not better automation, it’s a different system.
Traditional platforms optimize communication. Chargezoom optimizes execution. By operating at the payment layer and leveraging Payment Graph:
Timing
Timing is optimized based on real behavior
Payment
Payment methods are dynamically selected
Strategies
Retry strategies adapt automatically
Failures
Failures are resolved without escalation
The result is not just efficiency, it is financial performance.
The compounding effect
Performance improves over time.
Because Chargezoom learns from a network, not a single dataset:
Predictions become more accurate
Recovery rates increase
Automation expands
Outcomes compound
Every transaction strengthens the system.
Run your AR as a system
See what Autonomous AR can do for your business
