Improving AP Booking Productivity via AI-Powered Automation
20 Jun 2025
To combat inefficiencies in invoice processing, Neo Tangent deployed AI technology for a beauty and cosmetics company. By automating the accounts payable process, the company achieved a 99.99% accuracy rate, reduced manual effort by 18%, and significantly improved processing speed and efficiency.
Results at a Glance
99.99%Accuracy Rate
18%Manual Effort Reduced
50%Processing Speed Improvement
Our Solution in Action
Customer Background:
A beauty and cosmetics company processing thousands of invoices monthly, struggling with manual data entry errors and slow turnaround times in their accounts payable department.
Challenges:
- High volume of invoices requiring manual data entry and validation.
- Frequent booking errors leading to vendor disputes and delayed payments.
- Inconsistent invoice formats from hundreds of suppliers.
- Limited visibility into AP pipeline and processing bottlenecks.
Solution:
Neo Tangent deployed an AI-powered invoice processing solution that automated data extraction, validation, and booking. The system uses machine learning to handle diverse invoice formats and continuously improves accuracy through feedback loops.
Impact:
- Achieved 99.99% accuracy rate in invoice booking.
- Reduced manual effort by 18% across the AP team.
- 50% improvement in invoice processing speed.
- Eliminated vendor payment disputes caused by booking errors.