Blog
schedule
23 May 2024
person
Robin Vermeij

The impact of process optimization

Process optimization is the adjustment of existing business processes so that they run more efficiently and cost less. The ways in which this can be done are very diverse. In fact, process optimization is the last step of Business Process Management (BPM). In order for process optimization to succeed, it is important that the steps of BPM are first carried out. These steps are process identification, description and analysis.

Process Identification

In 2024, it will remain essential to determine which process you want to improve or adjust. Focus on processes that are crucial to the organization and contribute significantly to profitability, especially in light of current economic challenges and technological advances.

Process Description

Before you can find improvements in processes, it is important to have a clear overview of the specific process. Nowadays, in addition to Value Stream Maps, you can also use advanced software solutions such as the latest version of INBISCO’s Process Manager. These modern tools provide real-time insights and AI-supported analysis to accurately map processes.

Process analysis

In this phase, you prepare for the actual process optimization. With current technologies, you can use big data and machine learning to determine where potential savings or improvement opportunities lie. This data-driven approach makes it easier to make informed decisions about process improvements.

Process optimization

Nowadays, even more methods are available for process optimization. In addition to the classic approach of the seven wastes, you can now also use automation, robotization and the Internet of Things (IoT) to eliminate inefficiencies. This means that you not only look at which steps add value, but also how technology can help to make processes smoother and more efficient.

The impact of process optimization

Process optimization does not always mean a complete change of all processes. Modern workflow software makes it possible to easily implement optimizations. By using AI and automation, you can ensure that standardized steps are followed accurately, resulting in fewer errors and skips in the process.

Process optimization in brief

In short, you take the following steps in process optimization:

  1. Identify an inefficient process;
  2. Map this using advanced software;
  3. Analyze the process with data-driven insights and machine learning;
  4. Optimize, using modern technologies such as AI, automation and IoT.

Curious about the Process Manager from INBISCO? We would be happy to show you in a no-obligation demo.