Artificial intelligence is moving beyond software and becoming a bigger part of the physical side of business. In sectors such as food production, consumer goods, and logistics, companies are increasingly using data systems to support daily operational decisions, not only long-term planning.
This shift is clear in the latest strategy update from The Hershey Company. During its Investor Day, the company outlined plans to use AI across several areas of its operations, including sourcing analytics, plant automation, fulfillment, and worker connectivity.
The move shows how AI is becoming less of a standalone technology project and more of an operating layer inside large businesses.
Hershey’s AI Strategy for Supply Chain Operations
Hershey said it plans to apply AI to sourcing and fulfillment. This includes using data to guide how ingredients are purchased, how products are distributed, and how supply chain decisions are made.
According to the company’s Investor Day materials, Hershey aims to build a faster, smarter, and more resilient supply chain powered by automation and AI-enabled decision-making.
The strategy comes at a time when food and snack companies are dealing with constant pressure across their supply chains. Raw material costs can change quickly, consumer demand can shift by season or product category, and retailers still expect products to arrive on time and in the right mix.
For a company like Hershey, better planning and faster decisions can directly affect inventory levels, waste reduction, service quality, and speed to market.
From Data Reporting to AI-Enabled Decisions
One of the most important parts of Hershey’s update is its focus on “AI-enabled decision-making.”
Many companies already collect large amounts of operational data. The harder task is turning that data into decisions that improve how the business runs. Hershey’s strategy points to a more connected model, where data from different parts of the company can support faster and more coordinated execution.
The company said its digital planning tools are designed to connect different areas of the business, reduce waste, improve inventory management, and raise service levels.
This means AI is not only being used to understand what happened in the past. It is also being positioned to help teams decide what to do next across sourcing, production, and distribution.
AI in Manufacturing and Plant Automation
Hershey’s plans also extend into manufacturing. The company said it will increase plant automation to improve manufacturing efficiency and use AI across more parts of its operating model.
This marks an important shift in how AI is being applied. Instead of sitting outside production systems, AI is being integrated into the processes that guide planning and execution.
For food and snack companies, this can be especially valuable. Input costs and demand patterns often change quickly, while factories and retail supply chains need to keep moving. Even small improvements in timing, forecasting, or inventory allocation can have a meaningful impact.
Using AI to Manage Sourcing and Risk
Food companies often face volatility in key ingredients. Cocoa, sugar, and other raw materials can be affected by weather, trade conditions, supplier issues, and global market shifts.
Hershey’s plan to use sourcing analytics is one example of how AI can support decision-making in this environment. By analyzing supplier data, market trends, and operational signals, companies may be able to improve purchasing decisions and better manage risk.
The company also said it wants to improve worker connectivity across its operations. This suggests that the strategy is not only about automation, but also about coordination between teams, systems, and physical operations.
AI Across Every Stage of Operations
Hershey said it plans to incorporate AI into every stage of its operations, including sourcing analytics, worker connectivity, automated fulfillment, and plant automation.
This makes the company a useful case study for a broader change in enterprise AI. Businesses are moving away from narrow AI pilots and toward wider integration across core functions.
In this model, AI becomes part of the system that supports supply, production, and delivery. It helps connect information with action, allowing companies to respond more quickly when market conditions change.
What Hershey’s AI Plans Mean for Enterprise AI
Hershey’s strategy reflects a wider shift in how large companies are thinking about artificial intelligence. AI is no longer limited to chatbots, software tools, or back-office experiments. It is increasingly being used to support real-world operations where timing, inventory, production, and logistics matter.
CEO Kirk Tanner framed the company’s plan around growth and execution, saying that Hershey’s strategy is clear and that the company is entering its next chapter of growth and performance.
For the wider market, the message is clear: AI is becoming an operational tool, not just a digital one.
Where This Shift Could Lead
The use of AI in supply chain operations is likely to expand as more companies look for ways to connect data with daily business decisions.
Hershey’s strategy shows how artificial intelligence is starting to play a larger role in industries built around physical goods. Consumers may not always see the technology directly, but it can influence how products are sourced, manufactured, stocked, and delivered.
As supply chains remain under pressure and demand becomes harder to predict, companies will increasingly need systems that help them act faster and with fewer mistakes. In that environment, AI is likely to become a core part of business operations rather than a separate innovation project.
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