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The future of Intralogistics: Mobile Platforms with Cognitive Skills and Experience
Structural challenges in day-to-day business as an invisible cost driver
When you look at your intralogistic processes, you often see a recurring pattern. Employees spend a large part of their working time on internal transport. Materials are not always in the right place at the right time. Short-term changes in day-to-day business lead to additional coordination, detours and manual interventions. At the same time, the demands on efficiency, process reliability and speed are increasing, while qualified personnel are more difficult to obtain. Many intralogistic processes are not designed for this dynamic and are sensitive to any deviation from the plan.
This situation creates specific cost drivers. Manual travel times cause high, often not transparently indicated personnel costs. A lack of real-time overview leads to waiting times, duplication of work and inefficient use of resources. Existing automation solutions usually only work under stable framework conditions and quickly lose profitability in the event of disruptions. The result is a material flow that not only brakes operationally, but also leaves potential for permanent savings unused.
Cognitive systems that prioritize tasks and respond adaptively
Mobile platforms with cognitive abilities start at these points. These are autonomous mobile robots that actively perceive their environment, classify situations and adjust decisions independently. They recognize people, objects and obstacles, react to changes in real time and prioritize tasks dynamically. This significantly reduces travel times, empty journeys and manual interventions. Processes remain stable, even if requirements change in the short term.
An important economic lever lies in human-robot collaboration. Cognitive robots work safely in the same room as your employees. They adapt speed and behavior, communicate their status and seamlessly integrate into existing processes. Routine tasks are reliably automated while your employees remain available for value-adding tasks. This reduces operational costs sustainably and at the same time increases process quality.
The economic effects of these cognitive approaches are robustly proven. Bain shows that companies do not realize up to 50 percent of their productivity potential when adaptive and digital systems are missing in the internal material flow. Transport and delivery processes in particular are regarded as areas with particularly high untapped efficiency potential. EY adds that data-based decision logics in operational logistics processes enable significant cost reductions and performance improvements because decisions are made faster, more consistently and in line with the situation. Mobile platforms make this decision-making ability directly operationally effective and can be gradually integrated. You create transparency, reduce ongoing costs and make your intralogistics more robust and economical in the long term.
First steps towards measurable efficiency gains
Entry into this technology is neither complex nor associated with high risks. We support you in identifying the right solution for your requirements, evaluating realistic savings potential and implementing them step-by-step during operation. With our Robotics-as-a-Service operating model, we minimize technical and economic barriers to entry and create a reliable basis for decision-making.
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