How a Medical Device Manufacturer Automated Invoice Processing & Reduced Manual Reviews with AI
InfoMiner helped finance and operations teams automate invoice and purchase order processing with AI-powered document intelligence—improving processing accuracy, reducing manual effort, and accelerating payment workflows.
95 %+
Invoice processing accuracy
<5 %
Documents requiring manual review
Manual rework
Reduced Significantly
Payment processing
Faster & More Accurate
Customer Profile
U.S.-based medical device manufacturer
Processing high volumes of invoices, purchase orders, and vendor documents across finance and supply chain operations. The organization relied on a legacy OCR solution that struggled to keep pace with growing document volumes.
Before InfoMiner
Invoice processing accuracy
Low
frequent OCR errors
Finance productivity
Limited
repetitive correction work
Manual review
High
most exceptions handled manually
due to data inaccuracies
Delayed
due to data inaccuracies
What was holding the business back
Problem 1
High OCR Error Rates
The legacy OCR solution frequently misread vendor names, invoice numbers, and line-item details, creating inaccurate financial records.
Problem 2
Excessive Manual Rework
Finance teams spent hours correcting OCR mistakes, validating invoice data, and following up with vendors before processing payments.
Problem 3
Limited Scalability
Growing invoice volumes increased processing time and operational costs, making it difficult to scale without adding headcount.
Problem 4
Delayed Payments & Reconciliation
Incorrect invoice data slowed approvals, delayed supplier payments, and complicated reconciliation processes.
How a Medical Device Manufacturer Modernized Invoice Processing with AI-Powered Document Intelligence
Result with InfoMiner
What changed operationally
- InfoMiner automatically captured and classified invoices, purchase orders, and vendor documents with AI-driven accuracy.
- Unlike traditional OCR, the platform understood document context, extracted key business information, and continuously improved through learning from corrections.
- Business rule validation proactively identified inconsistencies before processing, reducing downstream errors and manual intervention.
- Seamless ERP integration enabled finance teams to process documents faster while maintaining high data quality across operations.
- Institutional knowledge became searchable and accessible org-wide, eliminating reliance on any single individual.
What was holding the business back
Finance Team
95%+ processing accuracy
Invoices and purchase orders were processed with near-perfect accuracy, significantly reducing data-entry errors.
Accounts Payable
Faster payment processing
Accurate invoice data reduced approval delays and streamlined supplier payment cycles.
Operations Team
Less than 5% manual review
Only a small percentage of documents required human intervention, allowing teams to focus on higher-value work.
Business Operations
Improved scalability
AI-powered automation enabled the organization to handle increasing document volumes without proportional increases in manual effort.
Business Impact
What changed — for the business and for the team
For finance operations
Invoice processing became faster and more accurate, with 95%+ of documents processed automatically and less than 5% requiring manual review.
For operational efficiency
By eliminating repetitive manual corrections, finance and operations teams reduced administrative workload, improved productivity, and redirected resources toward higher-value activities.
For business performance
Accurate document processing reduced payment delays, simplified reconciliation, and provided a scalable foundation for future business growth without increasing staffing requirements.
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