John Galt Solutions’ Vice President of Product and Industry Solutions, Matt Hoffman, talks about how advancements in cloud computing and AI have democratized access to advanced analytics.
Hoffman explains the role of expert systems in advanced supply chain planning software. Organizations no longer need large teams of data scientists to perform complex forecasting, as AI in supply chain planning can automate many processes. For example, the Atlas Planning Platform allows for more efficient and scalable forecasting methods, enabling businesses to adapt quickly to market changes.
Watch the webinar to learn more: Advice from the Experts - Rethinking Demand Planning Excellence
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This concept of democratization of these advanced analytics. And what that basically means is you no longer have to have multiple data scientists on staff.
And I remember the days where you'd see some statistical forecast teams where they'd have three, four, five people with their PhDs in there doing statistical forecasts because it took so much horsepower and work to go back and review those.
So now, in the Atlas platform, for instance, we do what we call our expert AI. And what this does is you don't need the data scientists anymore. We're going through and looking for some of the elements that cause issues with causal and regression if you're not watching them.
And the AI is going through and it's automating it. It's allowing you to do hundreds and hundreds and hundreds of thousands of combinations of items, locations, and customers to come up with a really strong forecast. And it's able to be computed through quickly enough that you're able to drive the plan. It's not something that's churning and causing a delay.
Now, these are elements that you could do every single day.