We explore three ways data science optimization can help agriculture-based businesses enhance packaging, logistics, and product waste management to achieve sustainable outcomes and reach ESG goals.
In this post we’ll examine the concept of integrated business optimization. It’s not uncommon for a CEO or business unit leader to think they have
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
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.
This week on Udderly Understandable, Hamish and Robbie explain how the burgeoning conflict in Ukraine may impact the dairy industry and commodity ag.
Learn about the intricacies of disassembly vs assembly dairy supply chains and how they differ from standard production lines.
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