Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

Everstream Analytics Expands ESG Visibility with UFLPA Supplier Risk Assessment and Proactive Network Monitoring Solution

New Insights on the Everstream Platform Give Customers Ability to Identify Forced-Labor Risk Within Multi-Tier Supply Chains

The Uyghur Forced Labor Prevention Act (UFLPA) went into effect in the United States on June 21, 2022, to ensure that goods made with forced labor in the Xinjiang Uyghur Autonomous Region of the People’s Republic of China do not enter the United States market. Everstream Analytics, the global supply chain insights and risk analytics company, announced the new Discover UFLPA Risk Solution, giving risk and compliance leaders the ability to identify potential UFLPA high-risk supplier relationships in their network and create action plans based on UFLPA supplier risk scores to stay compliant with current guidelines and governance.

Latest Aithority Insights : NVIDIA Raises the Standard of Low Code DevOps with the NVIDIA AI Enterprise 2.1

“By leveraging our global intelligence sources, combined with big data and AI-powered multi-tier mapping, we’re able to give businesses deep insights into their entire supply chain network, helping to avoid lengthy delays and fines but more importantly, creating a more sustainable and ethical supply chain.”

Everstream’s UFLPA Risk Solution combines sub-tier discovery, supplier scorecards, and ongoing monitoring with real-time updates from Everstream’s EA UFLPA Watch List. The Watch List is expanded from the US Department of Security Watch List to include known aliases, subsidiaries or corporate connections, customers, and their customers. The result is unprecedented insight, compliance, and peace of mind for any companies doing business within forced-labor regions of China.

Read More About AI News : Role of AI in Helping B2B companies that are Missing Out on Buyer Intent Data

The UFLPA Risk Solution gives companies a unique level of insights through:

  • Multi-tier network discovery to uncover unknown supplier relationships
  • ULFPA-specific supplier risk assessments, scoring, and incident monitoring
  • Ongoing risk analysis and expanded watch list monitoring
  • Flexible and scalable responsible supplier matching

An expansion of Everstream’s ESG layer, UFLPA risk insights and sub-tier discovery provide a way for companies exporting goods from specific areas of China to ensure all exports are screened against the risk of forced labor, in all its forms. Everstream’s comprehensive and scalable risk-based approach leverages the company’s ability to combine sub-tier discovery with its risk assessment platform, giving clients leverage when navigating UFLPA requirements.

“This past June we announced the ESG Layer of the Everstream platform, giving our customers deep visibility into the environmental, human, and governance risks in supply chains. The UFLPA has created an urgent need for a comprehensive risk assessment solution in the U.S., but it also speaks to a broader level of sustainability commitment from businesses around the world,” said Julie Gerdeman, CEO, Everstream Analytics. “By leveraging our global intelligence sources, combined with big data and AI-powered multi-tier mapping, we’re able to give businesses deep insights into their entire supply chain network, helping to avoid lengthy delays and fines but more importantly, creating a more sustainable and ethical supply chain.”

Future of AI-driven Customer Relationship:  Microsoft’s Viva Sales and the Future of AI-driven Customer Relationship and Experience Management

[To share your insights with us, please write to sghosh@martechseries.com] 

Comments are closed.