Mexican Customs Agencies Boost Efficiency by Up to 75% Using PaperEntry AI
The Results
75%
EFFICIENCY IMPROVEMENT
1000+
DOC PER MONTH PER ORGANIZATION
PROCESSING TIME
from Hours
PAST (MANUAL SYSYTEM)
- Slow turnaround
- Heavy manual effort
PROCESSING TIME
to Minutes
NOW (WITH DEEP COGNITION)
- Fast turnaround
- Efficient and scalable
Processing Speed: Up to 75% Efficiency Improvement
With the implementation of PaperEntry AI, agencies achieved significant reductions in operational processing times.
- Processes that previously took hours can now be completed in minutes
- Each organization processes more than 1,000 documents per month through the platform
- Review times have been significantly reduced thanks to structured data available from the beginning of the process
- Internal workflows have been simplified through the elimination of redundant tools and manual steps
Business Impact:
Strategic talent reassignment
Operational teams can now focus on higher-value activities such as tariff classification, compliance analysis, and customer service instead of repetitive data entry.
Scalable growth without proportional hiring
As document volumes increase, agencies no longer need to expand data entry teams at the same rate, enabling more sustainable growth.
Operational standardization
Consistent, structured information from the start of the process improves accuracy, reduces errors, and minimizes rework during inspections and audits.
Future-ready operations
By transitioning from a manual workflow to an AI-assisted model, agencies have established a strong foundation for future automation initiatives and continuous process improvements.
“By implementing PaperEntry in our branches, we managed to make the process of loading invoices and packing lists a natural part of the day-to-day. Tools we used to supplement information are no longer necessary. The operation is more agile, more standardized and the glossy process accelerated considerably.“
Director of Operations
CUSTOMS AGENCY IN MEXICO
Overview
Industry:
Customs Brokerage and Freight Forwarding in Mexico
Challenge:
Customs agencies relied on manual data entry to process commercial invoices, packing lists, and shipping documents received in multiple formats. This created operational bottlenecks, increased the risk of errors and audit rework, and limited the ability to scale operations without adding more staff.
Solution:
Implementation of PaperEntry AI, an intelligent automation platform powered by generative AI that can process unstructured logistics documents without requiring predefined templates.
The Challenge
Each organization processed more than 1,000 documents per month, reduced processing times from hours to minutes per operation, and significantly accelerated the claims review process.
Mexican customs agencies faced a critical operational constraint: manually capturing information from commercial invoices and packing lists could take up to 60 minutes per operation, depending on the complexity of the shipment.
Operational teams spent hours extracting, validating, and entering data into their customs systems instead of focusing on higher-value activities such as tariff classification, strategic review, and customer service.
This process resulted in:
- A high dependence on experienced operators
- The use of external tools to supplement missing or unclear information
- Frequent rework during the inspection process
- Linear staff growth as document volume increased
Traditional template-based OCR systems were unable to adapt to the wide variety of invoice formats used by domestic and international suppliers. Each new layout required manual adjustments or created exceptions, making automation inconsistent and unreliable.
The operating model was clear: higher volume required more data entry personnel, a strategy that was difficult to sustain over the long term.
Why PaperEntry AI
Customs agencies needed a solution capable of interpreting logistics documents intelligently without relying on rigid templates or format-specific configurations.
PaperEntry AI stood out as the right fit because it addressed the operational realities of customs processing while supporting long-term scalability.
Key Decision Factors:
Universal document compatibility
PaperEntry AI could process commercial invoices and packing lists across a wide range of formats, from simple one-page documents to complex shipments containing more than 100 line items.
Scalability without proportional headcount growth
The platform enabled agencies to increase processing volume without expanding operational teams at the same rate, helping break the traditional link between growth and staffing requirements.
The advantage of generative AI
Unlike template-based systems, PaperEntry AI could automatically adapt to new document layouts without requiring manual template creation or system reconfiguration for each new supplier.
Multi-user operational readiness
The platform supported collaborative, high-volume environments, with an average of 20 active users per organization working simultaneously.
How it Works
PaperEntry AI automates the end-to-end document processing workflow, helping customs agencies move from manual data capture to a faster, more scalable operating model.
1. Automated Capture
Documents are identified and ingested rapidly from email or direct upload, with processing times measured in seconds.
2. Intelligent Document Classification and Page Separation
The platform accurately classifies document types and separates invoices, packing lists, and supporting attachments to ensure a clean and organized workflow from the start.
3. Intelligent Data Extraction
PaperEntry AI extracts structured information from unstructured logistics documents in minutes rather than hours, significantly reducing manual data entry and accelerating operational throughput.
4. Business Rules Validation
Automated quality checks including mandatory field validation, sum of line total validation with invoice total check, and data consistency cross-validation
5. Customs System Integration
Extracted information is prepared for upload or publication into customs systems, minimizing manual intervention, reducing rework, and improving downstream process efficiency.