Leading customs brokerage in Monterrey with 15+ years of experience
Manual tariff classification consumed an average of 20 minutes per line item. With 500 monthly operations, the team of 6 classifiers could not keep up. Classification errors led to costly amendments and clearance delays that strained relationships with automotive sector clients.
They deployed TariffPro for AI-assisted tariff classification and Camtom Docs for automated data extraction from invoices and transport documents. Classifiers shifted from searching codes from scratch to validating intelligent suggestions, focusing on truly complex cases.
This customs brokerage, headquartered in Monterrey with over 15 years in the industry, primarily serves automotive and electronics companies. Nearshoring growth increased their operation volume by 40% in a single year, but their classifier team could not grow at the same pace. Each line item required manual searches in the TIGIE, consultation of explanatory notes, and cross-validation with current regulations — a process that took between 15 and 25 minutes.
Classification errors represented a serious problem: each amendment cost an average of $8,000 MXN in fines, fees, and lost time. With a 12% error rate, amendments added up to over $50,000 MXN monthly in avoidable costs.
Instead of replacing their classifiers, the agency empowered them with technology. TariffPro was integrated as the first line of classification, analyzing product descriptions in natural language and suggesting tariff codes with confidence levels. Human classifiers validate suggestions in seconds instead of researching from scratch.
Camtom Docs eliminated manual data entry from commercial invoices, packing lists, and transport documents. Data is extracted automatically and fed into TariffPro, creating a continuous workflow that reduces human error points.
The agency first deployed TariffPro with a pilot team of 2 classifiers for 2 weeks. After seeing the results, they extended usage to the full team and added Docs in the second month.
Three months after implementation, the numbers speak for themselves. Average classification time dropped from 20 minutes to 3 minutes per line item. Accuracy rose from 88% to 95%, reducing amendments from 60 per month to fewer than 5. Monthly operational savings reached $180,000 MXN when factoring in reduced amendments, recovered time, and the ability to serve more clients without hiring additional staff.
The change was not only numerical. Classifiers report higher job satisfaction because they focus on complex cases that truly require their expertise, instead of spending hours on repetitive searches. The sales team now offers more competitive response times, which has attracted 3 new clients in the last quarter.
The agency plans to implement the KYB module to automate client file management and is evaluating MVE integration to comply with the new Electronic Value Declaration regulation before the June 2026 deadline.
“We used to spend 20 minutes per line item. With Camtom, our classifiers validate in 3 minutes what previously took an hour of research. The operational savings were evident from the first month.”
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