Saskia van Gendt: Why AI is Key to Resilient Agriculture

2026-07-04 · Source: AI Magazine · Field: Agriculture & Food Systems — Agricultural Sustainability & Climate, Supply Chain & Distribution, Artificial Intelligence & Machine Learning · Depth: Fundamental Awareness, medium

Summary

Saskia van Gendt, Chief Sustainability Officer at Blue Yonder, highlights the critical role of AI and unified data in building resilient agricultural supply chains against extreme weather and viral social media trends. She notes that traditional logistics models struggle with sudden demand spikes and fluctuating crop yields, citing the Dubai chocolate trend which caused pistachio prices to surge from US\$7.65 to US\$10.30 per pound and Iran's exports to the UAE to rise 40% by March 2025. Van Gendt advocates for abandoning siloed legacy systems in favor of end-to-end visibility, unified data platforms, and agentic AI to enable rapid decision-making within minutes to hours. Blue Yonder's 2026 Supply Chain Compass Report indicates 51% of organizations have deployed unified data platforms, underscoring their importance for absorbing shocks and proactive risk management.

Key takeaway

For Directors of AI/ML or Operations Professionals managing agricultural supply chains, you must prioritize integrating unified data platforms and agentic AI to achieve end-to-end visibility. This shift enables your teams to react to market and climate shocks within minutes, preventing significant revenue loss and eroded customer trust. Accelerate your transition from siloed legacy systems to proactive, data-driven decision-making to ensure operational resilience and competitive advantage.

Key insights

Unified data, end-to-end visibility, and agentic AI are essential for agricultural supply chains to react to shocks within minutes.

Principles

• Siloed legacy systems hinder rapid response.
• Climate and social media are severe threat multipliers.
• Proactive risk management beats reactive approaches.

Method

Integrate planning, sourcing, and execution functions using unified data platforms and agentic AI to achieve end-to-end visibility and accelerate decision-making velocity.

In practice

• Implement unified data platforms for real-time insights.
• Adopt agentic AI for adaptive supply chain solutions.
• Optimize logistics to minimize food waste.

Topics

• Agricultural Supply Chains
• Agentic AI
• Unified Data Platforms
• Supply Chain Resilience
• Climate Change Impacts
• Social Media Trends

Best for: Executive, CTO, VP of Engineering/Data, Director of AI/ML, Operations Professional, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI Magazine.