Altana, a software company that helps brands like Wayfair map their global supply chains, has been barred by the Chinese Ministry of Commerce from doing business with individuals or companies in the country. The move came as part of China's response to US import bans, with Beijing targeting seven American firms, including Altana, in what appears to be a direct countermeasure.
A Geopolitical Tit-for-Tat
This development is a fairly striking example of how geopolitics continues to complicate global supply chains, even as technology advancements like AI offer genuinely promising new solutions for managing that complexity. The August 5 move followed the US banning imports from dozens of additional Chinese companies in late July 2026, over alleged human rights abuses.
Alongside Altana, the six other companies on China's countermeasures list include nonprofits Responsible Business Alliance and Verit Group, human-rights NGO Human Rights in China, natural-fiber lab-testing company Stratum Reservoir, and Applied DNA Sciences, which recently rebranded as BNB Plus Corp and pivoted from fiber tracking into blockchain services within the cryptocurrency space.
What Altana Actually Does
Altana sells its software to businesses so they can uncover forced labor risks and meet strict regulatory compliance requirements. To do this, the company collects and buys data points from businesses around the world, including in China itself — which makes its inclusion on this restrictions list particularly consequential. Being barred from operating with Chinese entities could make it significantly harder for Altana to provide certain data to clients like Wayfair going forward.
A Wayfair spokesperson told Business Insider, "While this is a new development, we remain committed to using technology to see deeper into and better understand our supply chain." Altana itself declined to comment specifically on how the ban would affect its software going forward, though the company had previously spoken about its broader supply chain mapping work.
The Problem Wayfair Was Trying to Solve
For a company like Wayfair, which sources 40 million products globally from 20,000 suppliers while trying to comply with US government prohibitions, maintaining continuous visibility and cross-checking across multiple supply chain tiers is a genuinely complex challenge. As Evan Friedler, Wayfair's director of regulatory and government affairs, put it in a July interview, "we can't manage what we don't see."
Previously, Wayfair relied on third-party contractors and internal systems to cross-check its supply chain against unauthorized parties. But according to Friedler, "getting to the first tier of the supply chain has historically been the easy part." Visibility often stopped there, leaving second- or third-tier suppliers — where questionable labor practices or prohibited entities might actually be operating — essentially a mystery. As Wayfair's scale grew and regulatory expectations rose, reaching those deeper tiers became increasingly important, and AI technology finally made that goal more achievable.
About two years ago, Wayfair began working with Altana specifically to look beyond that first supplier tier and reduce reliance on manual checks. "This solution helps us proactively manage risk rather than react to it," Friedler said.
How Altana's AI Actually Works
Altana cofounder and CEO Evan Smith described the platform as being like "Google Maps for the supply chain." The company draws from paid and free public-domain data, and secures rights to certain insights from client and user data sets as they're processed through its system, though it doesn't share confidential customer data such as pricing or bill-of-materials details.
Even so, Altana uses the data it does obtain to enrich its broader picture of the global supply chain graph. "It's a contributory network where everyone's hooking their data and their users into a platform that allows for that shared visibility," Smith explained.
At Wayfair specifically, Altana is used for labor compliance and denied-party screening. For example, the platform notifies Wayfair when suppliers potentially match a government-published list of forced labor or denied parties, allowing Wayfair's compliance team to investigate risks far sooner than before adopting the technology. Previously, the company relied on manual signals and self-reported supplier information for its supply chain diligence, a much slower and less reliable process.
Keeping AI Decisions Auditable
Altana also uses agentic AI workflows to ingest and store vast quantities of data, pulling in reference material such as the full body of US Customs rulings on product classification. Importantly, Wayfair employees can click into the underlying background information to see the AI's reasoning and documentation behind any potential issue flagged, giving them the evidence needed to substantiate or dispute any AI-issued determination.
Most of Wayfair's alerts ultimately turn out to be false positives. The compliance team investigates each one, which can mean confirming company names and spellings, double-checking a supplier's region, or calling suppliers directly for more information. Wayfair then updates the Altana alerts on the platform with this new information, insights they'd typically have struggled to uncover through purely manual processes, according to Friedler.
FAQs
Q1. Why did China bar Altana from doing business in the country?
China's Ministry of Commerce targeted Altana as one of seven American firms in response to the US banning imports from dozens of Chinese companies over alleged human rights abuses in late July 2026.
Q2. How does Wayfair use Altana's technology?
Wayfair uses Altana's AI-powered platform for labor compliance and denied-party screening, helping identify suppliers that may match government-published forced labor or denied party lists across multiple supply chain tiers.
Q3. How does Altana ensure its AI-generated alerts can be verified?
Altana provides underlying documentation and reasoning behind each alert, allowing Wayfair employees to review the evidence and substantiate or dispute AI-issued determinations before acting on them.