From Illinois farms to advanced production lines: discover the secret behind Kraft Heinz’s success in employing artificial intelligence and food tech to craft the best pickles.
More than 150 years ago, farmer Claus F. Claussen started pickling cucumbers he couldn’t sell in Illinois, marking the beginning of the Claussen pickle brand. Today, Kraft Heinz produces nearly 60 million cucumbers annually to make about 42 million jars of Claussen pickles, the most popular refrigerated pickles in the United States. Although the pickling process seems simple at first glance, it involves challenges related to ensuring cucumber ripeness and matching size and shape to guarantee the same level of quality in every jar.
Artificial intelligence in supply chains
In recent years, Kraft Heinz has paid increasing attention to improving its supply chains in pursuit of higher efficiency and lower costs. To achieve this, the company has adopted artificial intelligence and food technologies across a number of production stages, ranging from raw material quality control to finished product inventory management. One of the most prominent areas benefiting the company involves monitoring cucumber size and characteristics before they arrive at the pickling plant in Illinois, allowing production lines to adjust according to different sizes, lengths, and curvatures.
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Pickle industry challenges
Kraft Heinz relies on the “vine-to-brine in 10 days” rule to make Claussen pickles. This means the window for any corrections or adjustments is very tight, so the plant needs accurate and immediate information about the shape and quality of incoming cucumbers. Even a slight change in cucumber length or diameter may require production line adjustments to achieve the desired final result.
Historically, verifying cucumber quality was done manually, with a specialized team measuring and visually inspecting samples to ensure suitability. However, with massive production volumes and increasing supply source diversity, this process became inefficient in terms of time and cost.
The role of AI in improving efficiency
Kraft Heinz created a system based on capturing images of cucumber samples and using machine learning algorithms to identify shape and size deviations or defects, as well as evaluating vegetable quality. Initially, the team trained these algorithms by providing thousands of images and correct evaluation criteria, enabling the machine to make decisions almost instantly.
According to Bill Durbin, the company’s head of logistics and planning, adopting this system resulted in a 12% increase in plant efficiency regarding pickle production, allowing the facility to produce more jars and better serve customers. It also helped reduce waste and strengthen communication with farmers to yield a harvest meeting required standards.
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Expanding AI-backed solutions
This benefit is not limited to the pickle industry alone; Kraft Heinz intends to apply the same approach to other products such as tomato sauce and potatoes destined for Ore-Ida fries. Controlling tomato size and ripeness can help optimize production processes and ensure final product quality. These trials pave the way for broader deployment of artificial intelligence in the food sector as an effective tool to ensure product safety and production efficiency.
What began as a simple idea in the mid-19th century has today become a symbol of modernization and innovation in the food world. The Claussen pickle story illustrates how artificial intelligence can add tangible value to traditional industries by streamlining operations and providing real-time data needed for quick and accurate decisions. As Kraft Heinz continues to explore new ways to employ artificial intelligence and food tech, consumers remain the primary beneficiaries of higher quality products with consistent flavor and texture.
