As the global population continues to grow, meeting the world’s demand for animal protein in a sustainable way is becoming increasingly challenging. Data science offers
Did you know that nearly 1/3 of all food produced is wasted or lost?
This food waste has far-reaching economic, social, and environmental consequences, including increased greenhouse gas emissions and squandered resources such as water, energy, and land. By leveraging data science as a platform, we can make significant strides in reducing food waste and tackling the challenges outlined in this McKinsey report. Data science provides valuable insights into the causes and potential solutions to food waste, enabling us to create a more efficient and sustainable food supply chain.
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
We’ve all seen empty supermarkets shelves recently, waited much longer than usual for an online delivery, or experienced port and shipping problems. It’s fair to
We talked about the role of supply side factors in dairy supply chain volatility last week. Find out more about the long term demand outlook trends for dairy producers
We agree with Gary Marcus that deep learning alone is not the answer to your supply chain problems. That’s one reason we make sure our
Recently, I was doing a deep dive on Gartner’s framework for software applications in PACE Layered Architecture. It breaks down software applications in use at
As a manager you can break up your planning horizons into time frames as broad or narrow as you see fit. Often, these horizons are
How do you improve, optimize, and stabilize your dairy supply chain in a time of increasing volatility? With data science. Our industry experts and data
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