The Future of Supply Chains: Lessons from Hershey's AI Strategy

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The Future of Supply Chains: Lessons from Hershey's AI Strategy

Managing a supply chain in the food and beverage industry has never been easy. Companies must constantly navigate fluctuating raw material costs, economic uncertainty, and rapidly changing consumer demand.

At its recent Investor Day, Hershey reveals how it is leveraging AI and automation across every stage of its supply chain to make planning, decision-making, and day-to-day operations more accurate, agile, and efficient.

What's particularly notable is that Hershey is no longer using data solely to analyze past performance. Instead, AI is becoming an active decision-making partner across procurement, manufacturing, inventory management, and distribution helping the business predict future conditions, plan proactively, and respond to changes in real time.

Four Ways AI Is Transforming Hershey's Supply Chain

1. Sourcing Analytics

Hershey uses AI to analyze data from multiple sources, including commodity price trends and supplier information, to assess procurement risks and anticipate market fluctuations. With better visibility into changing market conditions, procurement teams can make more informed purchasing decisions and optimize the timing of raw material sourcing.

2. Plant Automation

AI helps optimize production planning by dynamically adjusting manufacturing schedules as market demand changes. This enables Hershey to reduce equipment downtime, improve production efficiency, maximize factory utilization, and increase operational flexibility.

3. Fulfillment & Inventory

AI supports inventory management and distribution by aligning stock levels with regional demand. This helps minimize both stock shortages and excess inventory while reducing storage costs, preventing product waste, and improving overall fulfillment efficiency.

4. Worker Connectivity

AI connects procurement, manufacturing, warehousing, and logistics teams through shared, real-time data. By ensuring every department works from the same information, Hershey reduces communication errors, improves cross-functional collaboration, and enables faster, more informed decision-making.

Why AI Has Become Important to Modern Supply Chains

Hershey's investment in AI is about far more than cost reduction. The food industry is facing multiple challenges simultaneously, from rising ingredient costs and economic uncertainty to increasingly unpredictable consumer behavior.

In this environment, relying solely on historical data is no longer enough. Organizations need the ability to anticipate change, adjust plans quickly, and make better decisions in real time. Hershey's strategy reflects this broader shift from reactive supply chain management to predictive, AI-driven operations.

The Rise of Physical AI

Hershey's transformation also highlights a growing trend: Physical AI. Rather than simply analyzing dashboards or generating reports, AI is increasingly orchestrating real-world operations across factories, warehouses, logistics networks, and frontline teams.

As AI becomes more deeply integrated into physical operations, it is evolving from a decision-support tool into an operational intelligence layer that coordinates people, machines, and processes across the supply chain.

For manufacturers, this is quickly becoming the new standard for operational excellence.

Building a Supply Chain That Is Fast, Smart, and Agile

According to Kirk Tanner, CEO of Hershey, AI and automation are foundational to the company's next phase of growth. The objective extends beyond reducing costs or improving operational efficiency. Hershey is building a supply chain that is fast, smart, and agile, one that can adapt quickly to uncertainty while maintaining resilience and competitiveness.

The company's approach demonstrates that AI in supply chain management is no longer a future aspiration. It is becoming a strategic capability for leading organizations worldwide, enabling everything from demand forecasting and production planning to inventory optimization and cross-functional decision-making.

Transform Your Supply Chain with AI Solutions from Sertis

Organizations looking to modernize their manufacturing and supply chain operations can leverage AI to improve forecasting, optimize inventory, and make more informed operational decisions. At Sertis, we develop Manufacturing and Supply Chain AI solutions tailored to each organization's unique business needs, including:

• Demand Forecasting: Predict future customer demand to improve production planning, supply chain management, and strategic decision-making.

• Inventory Forecasting: Determine optimal inventory levels to balance product availability while minimizing excess stock.

• Product Demand Planning: Convert demand forecasts into production plans while enabling scenario simulations to evaluate different planning strategies.

• Production Optimization: Develop optimization algorithms that improve production scheduling, reduce downtime, and maximize manufacturing efficiency.

• Ordering Optimization: Calculate the optimal purchasing quantities and timing to reduce procurement costs and improve inventory performance.

• Inventory Optimization: Maintain ideal inventory levels while minimizing both stockouts and overstock situations.

Whether your organization is beginning its AI journey or looking to scale existing capabilities, Sertis helps businesses design, develop, and deploy AI solutions that create smarter, more resilient, and more efficient supply chains.