Case Study: How SPACE Logistics Reduced Classification Errors by 90% with Camtom

The Challenge

SPACE Logistics, a mid-size customs brokerage processing 350 entries per month across Mexico's major ports, was struggling with classification accuracy. Their team of six analysts manually classified products using spreadsheets and tariff schedule PDFs. The error rate had climbed to 12%, leading to customs holds, client complaints, and an average of $4,500 per month in penalties and rework costs. Senior analysts were spending 70% of their time on routine classifications instead of complex cases and client advisory.

The Solution

SPACE Logistics implemented Camtom's TariffPro platform with full integration into their existing workflow. The migration took 3 weeks: week 1 for product catalog import and AI classification of their existing database, week 2 for team training and parallel testing, and week 3 for full production rollout. They maintained their manual workflow as a backup during the first month, then decommissioned it entirely after seeing consistent results.

Results After 6 Months

• Classification errors dropped from 12% to 1.2% — a 90% reduction.
• Entry throughput doubled to 700 entries per month with the same team of six analysts.
• Penalties and rework costs dropped from $4,500/month to under $400/month.
• Average classification time decreased from 28 minutes to 4 minutes per product.
• Client satisfaction scores increased by 35%, with zero clients lost during the transition.

“We went from dreading audit season to welcoming it. Every classification is documented, justified, and retrievable in seconds. Camtom did not just fix our accuracy problem — it transformed how we work.”

— Operations Director, SPACE Logistics