AUTOMATION
When manual processes and bottlenecks characterize your supply chain, it quickly becomes visible in both storage binding, production flow and delivery capacity. You lose pace, increase the risk of errors and find it more difficult to optimize across purchasing, storage and production.
Automation is a direct lever to reduce waste, improve lead times and create more stable processes. With technologies such as RPA, low-code and intelligent workflows, you can target efforts to the areas where inefficiency affects your operations the most.
When automation is linked to your operational data and business goals, you get better control over flow, capacity and costs. This gives you a stronger decision-making basis and a more scalable operation with higher output and fewer interruptions.
Maximum system performance with minimal friction
Imagine a weekday where manual bottlenecks have been removed. Where data flows smoothly between systems and repetitive tasks are solved quickly and flawlessly without straining your teams. This means fewer errors, higher output and more robust operation.
Automation is not just about efficiency – it's about building a more resilient and flexible business. According to McKinsey (2023) companies with a high degree of process automation experience up to 30% fewer manual errors and an ROI of 200% already in the first year.
Automation trends
In a reality characterized by increased complexity, demands for delivery reliability and the need for robust processes, automation is no longer an area that you ’just try out’. The latest trends clearly show: Automation has become a crucial part of the digital operating strategy in companies that want to strengthen both resilience and performance.
Here you get an overview of the central movements that shape digital operation, and which at the same time points to areas where concrete and measurable gains can be made.
Automation as a new operating model
Companies that widely roll out automation experience an average of 40% higher efficiency. When automation is connected directly to existing systems – also older platforms – it becomes possible to improve core processes without major structural changes.
A robust response to labor shortages and economic pressures
Automation becomes an operational response to challenges such as recruitment difficulties and rising costs. 78% of managers plan investment in RPA to close gaps in staffing, while 85% see technology as a path to retaining specialized labor.
Increasing requirements for coherence in operations: RPA as a key tool
RPA supports the need for reliable, integrated workflows across functions. Technical management reports that automation now also plays a central role in areas such as real-time analysis and sustainability reporting with demands for high data precision and traceability.
Process mining and automated testing ensure quality and scalability
82% of decision makers consider that process mining is essential for success. The technology identifies bottlenecks that would otherwise go under the radar and enables precise prioritization before resources are put into play.
Low-code increases pace and availability
With the help of low-code, the business itself can take care of parts of the automation. It increases the share of automated processes by up to 29%, without burdening IT or requiring heavy development. It gives more control over the tempo – and makes it easier to react quickly.
AI and RPA in interaction: Data-heavy operation is automated
By linking RPA with AI solutions such as NLP and OCR, it becomes possible to automate even more processes, even where data comes in unstructured form. It provides higher speed, fewer errors and more stable data processing in complex workflows.
The operation of the future requires new skills and collaboration surfaces
When work tasks change character, employees must be dressed for tasks with a higher value. This requires a concerted effort across technology and organisation, where well-being, retention and effective training are crucial elements.
