Case Study // Enabling Proactive Supply Chains Powered by Predictive AI
The session will explore how predictive AI is shifting agri‑food supply chains from reactive decision‑making to proactive risk management, with a deep focus on the Libby’s mandarin sourcing case study that demonstrates this shift in action. After outlining today’s baseline of climate, price, and supply volatility—and the persistent gap between abundant data and limited foresight—the presentation will show how Helios AI integrates these signals into a single decision engine for procurement and sourcing teams. The Libby’s example will anchor the discussion, illustrating how early detection of climate and price risk enabled smarter purchasing and delivered a 15% cost reduction. The session will close by looking ahead to how AI is moving from experimentation to execution, and how platforms like Helios Horizon are enabling agri‑food leaders to anticipate disruption and act before it hits.
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