Nohena Insights: Engineering

Notes from inside the clearance chain: valuation, classification, policy, and the parts of Nigerian import clearance nobody documents. From the team building Nohena's pre-lodgement compliance engine.

All insights

What is RAG classification in trade compliance
Retrieval Augmented Generation (RAG) classification is a method that combines a search system with a generative AI model to interpret and structure complex trade documents for customs compliance.
Engineering · 29 October 2026
How retrieval reranking optimizes customs data
Retrieval and reranking are computational processes that find and prioritize relevant customs information, moving beyond simple search to deliver ranked insights based on authority, recency, and context.
Engineering · 23 October 2026
A framework for reconciling customs documents
A systematic framework for reconciling the commercial invoice, packing list, and bill of lading helps identify costly discrepancies before preparing a declaration.
Engineering · 22 October 2026
How RAG classification assigns an accurate HS code
Retrieval-augmented generation (RAG) is an AI method that assigns an HS code by finding relevant rules from a specific knowledge base, like the customs tariff, and then reasoning over those rules to propose a defensible classification.
Engineering · 14 October 2026
How a customs risk assessment AI evaluation gate works
An evaluation gate is a final, automated checkpoint within a compliance system that validates a customs declaration against a comprehensive set of rules before it is considered ready for lodgement.
Engineering · 12 October 2026
How AI document extraction improves customs declarations
AI document extraction improves customs declarations by reducing manual data entry errors and creating a verifiable link between source documents and the final declaration data, increasing accuracy and reducing compliance risk.
Engineering · 12 October 2026
Why an evaluation gate matters for AI customs compliance
An evaluation gate is a critical checkpoint where AI-generated customs data is systematically reviewed and validated against known rules and expert knowledge before it is used to prepare a declaration.
Engineering · 10 October 2026
How to build a defensible audit trail for customs AI
A robust audit trail for AI decisions is essential for demonstrating compliance, managing risk, and providing defensible evidence during Nigerian customs audits and regulatory inquiries.
Engineering · 4 October 2026
AI evaluation trade compliance accuracy and fairness
A rigorous evaluation gate is essential for ensuring AI systems in trade compliance are accurate, fair, and aligned with regulations. This protects against financial penalties and operational delays.
Engineering · 23 September 2026
RAG classification enhances customs risk assessment
Retrieval-augmented generation (RAG) classification is an AI technique that enhances customs risk assessment by grounding analysis in verifiable customs law, regulations, and data for more accurate pre-lodgement checks.
Engineering · 22 September 2026
Customs data quality through an evaluation gate
An evaluation gate is a critical pre-lodgement checkpoint that uses a structured, rules-based process to validate declaration data before it is prepared for submission to customs authorities.
Engineering · 20 September 2026
Document extraction automates trade compliance data
AI-driven document extraction transforms trade compliance by accurately pulling data from diverse documents, a critical process for preparing error-free Nigerian customs declarations.
Engineering · 20 September 2026
AI audit trail builds trust in automated compliance
An AI audit trail builds trust and transparency by creating a verifiable, step-by-step record of how a system arrived at a recommendation, which is essential for regulatory accountability.
Engineering · 20 September 2026
How evaluation gates protect customs AI audit trails
An evaluation gate in customs AI is a control point that verifies declaration data integrity before processing, creating a verifiable audit trail essential for trust and accuracy in automated trade.
Engineering · 18 September 2026
RAG classification AI enhances HS code accuracy
RAG classification AI enhances HS code accuracy by combining large language models with a verifiable knowledge base of customs regulations, tariffs, and rulings, providing a more defensible classification.
Engineering · 17 September 2026
RAG classification customs improves import declarations
Retrieval-Augmented Generation (RAG) classification enhances import declaration accuracy by grounding AI recommendations in a verifiable knowledge base of customs regulations, tariffs, and rulings.
Engineering · 15 September 2026
AI audit trail trade compliance ensures transparency
Robust audit trails in AI trade compliance solutions ensure transparency by creating an immutable, time-stamped record of every data point, user action, and system recommendation used to prepare a declaration.
Engineering · 14 September 2026
AI document extraction revolutionises trade compliance
AI-powered document extraction goes beyond simple OCR by understanding the context of trade documents, enabling more accurate and automated data capture for compliance.
Engineering · 11 September 2026
AI document extraction customs clearance streamlined
Learn how AI document extraction automates reading import documents to populate customs declarations, reducing manual errors and accelerating the pre-lodgement process for Nigerian clearing agents.
Engineering · 10 September 2026