Add data science to your cold food and beverage supply chain arsenal.
What can data science help optimize in a commodity deconstruction business like meat or dairy? Data science can forecast the impact of commodity supply variability
Download our latest white paper: Applying Data Science to the Integrated Retail Meat Supply Chain
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Supply chain planning and optimization impacts business incentives and often requires change management simultaneously to implementation. Find out more in this post
varying BOMs and multiple alternative BOMs are important to commodity agricultural disassembly supply chains. Because they support recipes that vary over time, they are complex (and they also add complexity to your optimization program).
In the first episode of our newest short video series, Meat Matters, Chief Industry Officer Dave Brown and CEO Simon Drake take on the beast: Excel spreadsheets. They talk about why you should stop using Excel to run your meat business.
One way dairy producers deal with changing inputs in their dairy supply chain is through protein standardization. By taking an input and making it a standard consistency dairy producers can achieve output specification, so as the input varies the output stays constant.
During times of upheaval, the most important thing you can have for supply chain resilience is extreme visibility.
Learn about the intricacies of disassembly vs assembly dairy supply chains and how they differ from standard production lines.
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