Circle K achieves a more accurate forecast to better predict the right stock levels.
Magnus Tagtstrom, Senior Director of Supply Chain Optimization, discusses Circle K’s journey to connect their end-to-end supply chain. Now with Anaplan, when Circle K updates their allocation, it automatically has an impact on the people doing the shipping plans.
The approach that we’ve taken to the entire implementation is: I would like a solution that we can maintain in-house. We’ve trained model builders in my team to develop this in the future. But we were not used to Anaplan, and we were not used to quick development—and we were not really used to what you could do with it. So therefore we chose Executit, which is a local partner here in the Nordics. They’re quick in the development, and they can challenge me. So the solution that we built is replicating a lot of Excel’s, replicating a lot of ERP functionalities. But the nice thing is that we created a connector to the ERP systems, so we get daily updates on volumes and daily updates on sales across the entire field supply chain automatically integrated to the model.
Biodiesel is a big thing in the Nordics. We would like to sell as much as we can, but we have a shortage of it, so we need to allocate it to where our customers need it the most. So taking the Anaplan solution that we have now, it actually automatically had an impact; e.g., what products do we need to supply into our terminals? So I think, for me, that was the kind of, “Okay, when you put the plans in the same place, when you put the known things and when you do allocations, it automatically has an impact on the people doing the shipping plans.”
Some of the clear benefits that I see is the forecast accuracy—being specific in forecasting and then also having the BU inputs to plans into that—I think that will help us to have the right stock level throughout all our sites. That’s money that we have as a buffer in the supply chain now.
So when let’s say [we buy a] product that we got from the Anaplan solution, we have full visibility of our inventory levels and the inventory levels, as well as forward-looking inventory levels, because we know how much we will sell from our demand plans and we know when we can distribute it to sites. This makes us much more specific in being able to drive down both distribution costs and working capital. So what we utilized is taking analytics, in our case power BI on top of Anaplan, to be able to create a much better report to get the insights. With Anaplan, I think we have taken this low-tech industry into something more high tech, and we’re ready for the future.
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