<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>HS Code on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/hs-code/</link><description>Recent content in HS Code on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 20 Dec 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/hs-code/index.xml" rel="self" type="application/rss+xml"/><item><title>Ingesting &amp;amp; Harmonizing HS Code and Tariff Data</title><link>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence-2/06-hs-code-tariff-ingestion/</link><pubDate>Sat, 20 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence-2/06-hs-code-tariff-ingestion/</guid><description>&lt;h2 id="chapter-6-ingesting--harmonizing-hs-code-and-tariff-data"&gt;Chapter 6: Ingesting &amp;amp; Harmonizing HS Code and Tariff Data&lt;/h2&gt;
&lt;h3 id="chapter-introduction"&gt;Chapter Introduction&lt;/h3&gt;
&lt;p&gt;In the intricate world of global supply chains, accurate and timely information on Harmonized System (HS) codes and associated tariffs is paramount. These codes classify traded goods, determining duties, taxes, and trade policies. In this chapter, we will build a robust data pipeline using Databricks Delta Live Tables (DLT) to ingest, cleanse, and harmonize raw HS Code and tariff data into our Customs Trade Data Lakehouse.&lt;/p&gt;</description></item><item><title>Ingesting &amp;amp; Harmonizing HS Code and Tariff Data</title><link>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence/06-hs-code-tariff-ingestion/</link><pubDate>Sat, 20 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence/06-hs-code-tariff-ingestion/</guid><description>&lt;h2 id="chapter-6-ingesting--harmonizing-hs-code-and-tariff-data"&gt;Chapter 6: Ingesting &amp;amp; Harmonizing HS Code and Tariff Data&lt;/h2&gt;
&lt;h3 id="chapter-introduction"&gt;Chapter Introduction&lt;/h3&gt;
&lt;p&gt;In the intricate world of global supply chains, accurate and timely information on Harmonized System (HS) codes and associated tariffs is paramount. These codes classify traded goods, determining duties, taxes, and trade policies. In this chapter, we will build a robust data pipeline using Databricks Delta Live Tables (DLT) to ingest, cleanse, and harmonize raw HS Code and tariff data into our Customs Trade Data Lakehouse.&lt;/p&gt;</description></item><item><title>HS Code-based Tariff Impact Analysis with DLT</title><link>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence-2/07-dlt-tariff-impact-analysis/</link><pubDate>Sat, 20 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence-2/07-dlt-tariff-impact-analysis/</guid><description>&lt;h2 id="chapter-7-hs-code-based-tariff-impact-analysis-with-dlt"&gt;Chapter 7: HS Code-based Tariff Impact Analysis with DLT&lt;/h2&gt;
&lt;h3 id="1-chapter-introduction"&gt;1. Chapter Introduction&lt;/h3&gt;
&lt;p&gt;In this chapter, we will build a robust, real-time data pipeline using Databricks Delta Live Tables (DLT) to perform HS Code-based tariff impact analysis. This pipeline will ingest raw trade data, enrich it with historical and current tariff rates, and then aggregate the estimated tariff costs to provide actionable insights into the financial impact of import/export duties.&lt;/p&gt;
&lt;p&gt;Understanding tariff impacts is crucial for modern supply chains. Tariffs can significantly influence procurement costs, pricing strategies, and overall profitability. By automating this analysis with DLT, businesses can gain near real-time visibility into these costs, enabling proactive decision-making to mitigate risks and optimize trade routes or sourcing strategies. This step is a cornerstone for building a resilient and cost-effective supply chain.&lt;/p&gt;</description></item><item><title>HS Code-based Tariff Impact Analysis with DLT</title><link>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence/07-dlt-tariff-impact-analysis/</link><pubDate>Sat, 20 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence/07-dlt-tariff-impact-analysis/</guid><description>&lt;h2 id="chapter-7-hs-code-based-tariff-impact-analysis-with-dlt"&gt;Chapter 7: HS Code-based Tariff Impact Analysis with DLT&lt;/h2&gt;
&lt;h3 id="1-chapter-introduction"&gt;1. Chapter Introduction&lt;/h3&gt;
&lt;p&gt;In this chapter, we will build a robust, real-time data pipeline using Databricks Delta Live Tables (DLT) to perform HS Code-based tariff impact analysis. This pipeline will ingest raw trade data, enrich it with historical and current tariff rates, and then aggregate the estimated tariff costs to provide actionable insights into the financial impact of import/export duties.&lt;/p&gt;
&lt;p&gt;Understanding tariff impacts is crucial for modern supply chains. Tariffs can significantly influence procurement costs, pricing strategies, and overall profitability. By automating this analysis with DLT, businesses can gain near real-time visibility into these costs, enabling proactive decision-making to mitigate risks and optimize trade routes or sourcing strategies. This step is a cornerstone for building a resilient and cost-effective supply chain.&lt;/p&gt;</description></item></channel></rss>