AT GROUND LEVEL
accurate . Process intelligence also offers an ‘ endto-end ’ view of business processes by analysing the event logs generated in systems from logistics to finance , breaking down barriers between siloed data and IT systems which don ’ t work well with each other . This allows business leaders and AI agents an unprecedented ‘ X-ray ’ view of how their end-to-end processes really work , which is the perfect jumping-off point for building a more resilient supply chain .
Traditional ERP systems are typically linear and are therefore not built to capture the complexity of a supply chain .
Why ERP systems have limits
Traditional ERP systems are typically linear and are therefore not built to capture the complexity of a supply chain , which combines a mindboggling number of processes across order management , production , logistics , procurement , warehouse management and fulfilment . Most of these processes also have finance processes attached to them in some way , and returns and reverse logistics add even more complexity . Traditional ERP systems can capture much of this data , however it is process intelligence that will provide the valuable insights .
What business leaders need is an understanding of not just how one process works , but how these processes are connected to each other . It ’ s hard to get these insights , because the ERP systems that store transactional data are not made for storing this data in a common language that both humans and other IT systems , such as systems for controlling quotes and contracts with customers , can understand . This means they are difficult to manage , requiring specialist training . Object-centric process intelligence ( OPCM ) lets business leaders consolidate data from different systems into the same data model , and ‘ see ’ how a sales order will also involve processes in order management , supply chain and production . This allows business leaders to create a ‘ digital twin ’ of multiple business processes at once , empowering them with the insights needed to make supply chain and inventory management more resilient .
Taming inventory management with AI
The first step in building the ability to adapt to disruptions and demand fluctuations is to be able to identify problems quickly , to maximise the time to respond : process intelligence delivers this . German manufacturer Freudenberg uses process intelligence to gain an instant overview of shortages , and what they will mean for customers , so they prioritise which challenge to deal with first . Artificial intelligence is the other key ingredient , helping to enable a rapid response , with Gartner suggesting that 50 % of supply chain organisations will be investing in AI in the current year .
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