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
Baixe nosso último white paper: Aplicando ciência de dados à cadeia de fornecimento integrada de carne bovina para varejo
Sign up for the next webinar: No Longer Unprecedented: How to be a Thriving Dairy Business in the New Normal
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.
Learn about Capital Investment and Supply and Demand Balance for Dairy
In a cooperative dairy business model, the various suppliers are also owners of the company. This enables smaller dairy producers to band together to have more leverage and reach for their products, as well as more control over both their processes and their products.
During times of upheaval, the most important thing you can have for supply chain resilience is extreme visibility.
There is a concept that applying data science to your business will automate processes, consolidate information faster, make employees lives easier, and allow them to go home earlier. All of that is true! It does leave an important part out, however. What often doesn’t get mentioned is that data science comprehensively considers so many nuances of your business, all at once, that understanding its optimized scenarios will require significant hours of training, as well as a mindset change within your planning team.
data to work: it’s hard to know which to choose first: an ERP system or a planning system.
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