Interos.ai has unveiled its second-generation platform, iQ, at a time when global economic uncertainty continues to challenge enterprises and government agencies. The company designed the platform to move beyond traditional supply chain visibility by introducing predictive analytics that help organizations anticipate, quantify, and mitigate risk across complex supplier networks.

Notably, iQ is positioned as the industry’s first fully productized predictive analytics platform. It enables F1000 companies and government agencies to leverage artificial intelligence not only for sub-tier supplier risk detection but also for quantifying financial exposure and identifying new risk mitigation opportunities. In addition, the platform integrates ERP systems with Interos.ai’s Resilience platform insights, allowing organizations to receive AI-driven recommendations for supply chain risk management (SCRM).

Furthermore, iQ enhances supply chain intelligence by linking ERP identifiers with Interos.ai’s knowledge graph. As a result, organizations gain deeper visibility into sub-tier risks while also understanding the broader financial impact of disruptions. This includes dollar-based exposure estimates and AI-suggested alternative suppliers. Consequently, businesses can respond more effectively to geopolitical volatility, shifting tariffs, and global macroeconomic instability.

“iQ will surface the best suggestions and for the first time, allow for seamless integrated ERP workflow and end-to-end execution,” said Yardley Pohl, Chief Product and Technology Officer at interos.ai. “iQ helps prioritize the suppliers and locations that matter most, assign owners, and start mitigation in the tools they already use. By bringing your specific materiality into interos.ai, organizations can quantify exposure in dollars and communicate risk in the language CFOs use every day.”

In its initial limited release for select customers, iQ introduces three key modules designed to address today’s evolving macroeconomic challenges. First, the itariffs module maps both current and anticipated tariffs across the supply chain while estimating dollar-level financial impact based on enterprise spend data. Second, the itracing module provides product-level visibility across multi-tier supplier networks and connects insights to bills of materials, enabling more targeted and precise mitigation strategies. Third, the ireputation module identifies reputational risks across supply chains, including adverse corporate actions, negative financial news, and foreign influence concerns.

Moreover, early adopters have already highlighted the value of enhanced visibility. “Working in the data center industry today requires a high level of agility,” said MaryAnn Hylton, TPRM, Vantage Data Centers. “To be agile, we need to have visibility into potential third-party risks. interos.ai has provided us with additional insight into potential risk domains.”

Overall, iQ reflects a shift toward predictive, financially grounded supply chain intelligence. By combining AI-driven analytics with ERP integration, Interos.ai aims to help organizations move from reactive risk management to proactive decision-making. Ultimately, this approach empowers enterprises to better navigate uncertainty while strengthening resilience across global supply chains.

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