The use of robotic process automation (RPA) in the manufacturing industry does not increase very quickly, it is a fact. However, the number of experts (especially IT managers) who follow the developments in this field is increasing. You may consider these as pre-investment feasibility studies.
Meanwhile, the RPA world is experiencing new developments. Most importantly, in the decision-making process, machine learning, faster and more efficient processing of big data (Predictive Analytics), artificial intelligence such as the second generation systems are more involved. This will make the decision-making process faster and more effective in the workflow. In other words, business process management (BPM) understanding will be much more efficient. But how?
First, let’s look at what will change in practice; Traditional RPA has no artificial intelligence or machine learning. There is a rule-based work system for automating tasks and human intervention / control is required. In the new generation RPA, everything from the production process to the user experience and decision process will be based on more accurate information and will be processed faster and with less human intervention.
In advanced process management platforms such as Emakin BPM, you can select a module task by taking data from an external system instead of a human task at any step of the process. Meanwhile, data exchange from external systems is now very easy and secure with web service integration (Soap / Rest).
With the data received from the external system, you can make a wide range of edits such as a new process, sub processes, event listener in the relevant work step.
Do not forget! The future will offer the great opportunities for those who are ready. By placing business processes management at the backbone of your business, having a more efficient and less risky business model will give you a great competitive advantage.