SAP and Syngenta Partner to Put AI at the Core of Global Operations
SAP SE (NYSE: SAP) and Syngenta announced a multiyear technology partnership to accelerate AI-assisted innovation across Syngenta's global operations. The goal is clear: create transparent, resilient, sustainable food supply chains and modernize how the enterprise plans, produces, and serves growers.
Agriculture faces climate variability, complex supply networks, and ongoing global uncertainty. Syngenta's enterprise-wide AI rollout is built to help feed a projected 10 billion people by 2050 while driving faster innovation and stronger operational resilience. See the United Nations population outlook for context here.
What This Means for Operations Leaders
The partnership embeds AI across Syngenta's value chain-manufacturing, supply, and grower-facing products and services-backed by a unified data foundation. It's about precision, speed, and control in everyday decisions.
- Unified data for real-time decisions: With SAP Business Data Cloud, Syngenta will centralize, govern, and scale data for analytics and AI-improving forecast accuracy, exception handling, and end-to-end visibility.
- Modernized core with SAP Cloud ERP Private: Standardize global processes, strengthen compliance, and enable agile re-planning. Expect tighter inventory management, faster period close, and cleaner MRP signals.
- AI decision support with SAP Business AI and the Joule copilot: Demand sensing, scenario planning, dynamic safety stocks, supplier risk insights, and quality analytics-delivered as guided, explainable recommendations.
- Traceability and sustainability at scale: Improve batch and lot traceability, compliance reporting, and product stewardship. Build more transparent, resilient supply chains without compromising grower data privacy.
- Operational resilience: Rapid re-plans across plants and regions, multi-echelon inventory optimization, and smarter logistics to reduce service risk and cost-to-serve.
How Syngenta Will Scale an AI-First Operating Model
Syngenta will start with SAP Cloud ERP Private to modernize core operations and enable agility, resilience, and scalability across the enterprise. The aim: speed up innovation, reinforce leadership in agriculture, and steady operations through volatility.
Through SAP Business Data Cloud, Syngenta will establish a secure, unified, and scalable data foundation that's ready for real-time insight and AI integration. Paired with SAP Business AI and AI-assisted tools like the Joule copilot, teams can make faster, smarter decisions that improve efficiency and accelerate product and service delivery for growers-while ensuring growers maintain control and privacy over their proprietary information.
Syngenta's Chief Information and Digital Officer, Feroz Sheikh, underscored that AI is now a core competitive edge and is changing how the company runs the enterprise. SAP's Chief Technology Officer, Philipp Herzig, noted the collaboration demonstrates how cloud and AI can drive sustainable growth and efficiency across one of the world's most critical industries-helping future-proof operations to feed the world responsibly.
First Steps for Your Ops Team
- Commit to a clean ERP core and standardize processes where possible; reduce custom code that blocks agility.
- Map your top 10 recurring decisions (plan, source, make, deliver) and define the data signals each needs.
- Close data gaps that slow down planning or quality; align master data ownership and stewardship.
- Pilot AI copilots in demand planning and procurement exceptions; measure impact on service levels and working capital.
- Set clear guardrails for privacy and model governance, especially for partner and grower data.
- Upskill teams on AI-assisted workflows and prompt discipline so recommendations turn into results.
If you're building AI skills across operations roles, explore practical learning paths by job function here.
Key Capabilities to Watch
- Real-time supply and demand sensing with scenario planning directly in planning cycles.
- Predictive maintenance and quality insights across seed production and crop protection plants.
- Supplier risk scoring tied to mitigation workflows and automated re-sourcing.
- Batch/lot traceability and product genealogy mapped to sustainability reporting.
- Multi-echelon inventory optimization linked to service-level targets and cost constraints.
Media Contacts
SAP
Lesa Plingen, +49 622 776 9000, lesa.plingen@sap.com, CET
SAP Press Room: press@sap.com
Syngenta
Syngenta Media Relations: media@syngentagroup.com
Top image courtesy of Syngenta
Forward-Looking Statements
This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in filings with the U.S. Securities and Exchange Commission, including but not limited to the risk factors section of SAP's 2024 Annual Report on Form 20-F.
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