Reducing stock levels with OCPM
Expanding Celonis to Inventory Management was a strategic initiative, driven by the C-suite, to reduce spare parts stock levels and maximize working capital.
Until this point, Smurfit Westrock had used traditional case-centric process mining to give a real-time view of single business processes. But for this Inventory Management use case, the CoE used more advanced object-centric process mining(OCPM) capabilities. This allowed multiple processes and systems to be linked together, creating a digital twin powered by the Process Intelligence Graph.
In the past, different teams from different countries would come together with different inventory information and nobody could agree on numbers. With the Process Intelligence Graph, enabled by OCPM, the team brought together data from Maintenance, Production, Finance, and Procurement to deliver one single source of truth. Clarity and transparency into how these processes interact and influence each other, enabled better decisions around selling, transferring and disposing of excess stock.
“Celonis takes opinions off the table. It's black and white, the data's there. So for me, it's not only a common language, but it takes the guesswork out of the job you're doing. It really makes people's jobs easier.”
Next, the CoE put preventative controls in place to make sure spare parts stocks didn’t build up again. Linking purchases to warehouse stocks in the Process Intelligence Graph, the team set up Action Flows to automatically inform users if they try to purchase something that's already in stock.
“What I love about OCPM is it's so easy. If somebody asks for an additional piece of data or an additional deviation of the process they want to look at, it's so easy to bring that data in and to serve the business. It’s just the flexibility, the transparency, and the clarity you get to really deliver dynamic solutions and deliver quickly.”