CrimsonLogic launched its AI-powered Automated Broker Interface (ABI) solution with Intelligent HS Classification, a next-generation digital solution purpose-built to optimize high-volume customs filing operations into the United States.
Designed for users managing thousands of import shipment entries daily, the new CrimsonLogic ABI solution transforms the way customs brokers and self-filing importers classify, validate, and transmit declarations to U.S. Customs and Border Protection via the Automated Commercial Environment.
“As customs brokers and importers contend with rising shipment volumes, higher customer expectations and tighter timelines, CrimsonLogic’s new ABI solution reflects our commitment to delivering intelligent innovations that address real operational pain points, reduce friction, strengthen compliance and enable scalable growth,” says Varun Sahai, head of trade business products at CrimsonLogic. “By embedding AI into the classification process, we transform what was once manual and error-prone into an intuitive, proactive and high-precision operation.”
Key takeaways:
· The solution integrates CrimsonLogic Customs Intelligence, an AI-driven HS classification engine, directly into the ABI workflow, eliminating the need to toggle between multiple systems or external tariff databases.
· Designed to operate seamlessly across multiple languages and jurisdictions, the embedded AI understands local terminologies and regulatory context, automatically suggesting and validating HS codes during the declaration process. This delivers seamless transmission, intelligent decision guidance, and built-in compliance intelligence checks within a single unified workspace.
· By simplifying traditionally time-consuming customs filing, the solution helps both new and experienced users to reduce the risk of misclassification, audit discrepancies, and post-entry corrections.
· Built for high volume and high performance, the new solution is engineered to scale while maintaining speed, accuracy, and reliability.
· Smart prompts and exception alerts guide users to correct classifications before submission, reducing errors and minimizing regulatory risk.
· Consistent, system-driven classification logic eliminates subjective interpretation across teams, ensuring uniformity, repeatability and accuracy at scale.
