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Existing systems react to historical data rather than predicting risks, leading to financial losses from undetected disruptions. Supply chains face multifactorial risks (geopolitical, logistical, environmental) with cascading impacts on revenue and contractual obligations. Current tools fail to identify hidden patterns or provide actionable foresight for risk mitigation.
US-based startup specializing in AI-driven supply chain risk management solutions for proactive network risk analysis and optimization
Enable proactive risk mitigation reducing supply chain disruptions by 40-60%, transform reactive risk management into strategic advantage, accelerate decision-making through predictive insights, and create new revenue streams through AI-driven service offerings. The platform demonstrated potential to save millions in avoided penalties and optimized inventory costs during initial pilots.