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Tariff Chaos: AI's Test in Supply Chain Volatility

Summary

  • Tariff changes require companies to adapt within 48 hours.
  • Process intelligence connects siloed data for faster decision-making.
  • AI agents need accurate data to avoid costly errors in volatile markets.
Tariff Chaos: AI's Test in Supply Chain Volatility

The unpredictable nature of tariff rate changes presents a significant challenge for businesses, requiring them to adapt strategies within a mere 48 hours. This rapid shift exposes limitations in traditional ERP systems, which often leave critical operational data fragmented and inaccessible. The gap in real-time visibility costs companies millions and hinders their ability to respond effectively to market volatility.

Process intelligence offers a solution by creating a digital twin of supply chains, linking data across finance, procurement, and logistics systems. This enables continuous 'what-if' scenario modeling, allowing companies to react to tariff changes in hours rather than days. Without this foundational intelligence, AI agents risk making costly errors based on incomplete or outdated information.

By integrating data across systems and connecting desktop activity, process intelligence provides the necessary context for AI to operate effectively. This approach empowers companies to transform operations, adapt to volatile markets, and turn tariff-driven chaos into a tangible competitive advantage, all while existing systems remain operational.

Disclaimer: This story has been auto-aggregated and auto-summarised by a computer program. This story has not been edited or created by the Feedzop team.
Process intelligence connects fragmented data across ERP, finance, and logistics systems to provide real-time operational context, enabling faster decision-making and AI integration.
Vinmar International utilized AI and a digital twin of its supply chain to cut default expedites by over 20% and enhance global delivery agility.
Tariffs test AI by revealing if companies understand their supply chains and if their AI can be trusted to act on accurate, real-time data during rapid market shifts.

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