Latest from MotionMiners.

A logistics laboratory with a real warehouse, a production line for toy trucks and students who independently manage full scale industry projects. In Elsfleth, practice based teaching is not a promise, it is part of everyday reality.

“On time.” That is what the system shows. The delivery has been booked, the order has been completed, and replenishment has been scheduled. Yet the product is still missing from the shelf. For many retail organizations, this is not an exception but an everyday reality that exposes a system gap which cannot be closed through better planning alone. The root cause of the issue lies not in planning, but in execution.

How Prof. Dr. Stefan Geraedts leveraged 18 years of industry experience to shape a new approach to academic teaching and why his students manage real logistics projects before they even graduate.

The Institute of Logistics Engineering at TU Graz has integrated Motion‑Mining® into its teaching. While the Technical University of Graz is still at an early stage of adoption, the roadmap is clearly defined. In this article, we outline why the technology is being implemented now and where TU Graz is heading next.

How a Motion-Mining® efficiency analysis uncovered 26% savings potential in order picking process optimization at Sulky

Agentic readiness goes beyond AI technology. Autonomous AI agents in retail require accurate, real‑world process data from stores and warehouses. Without transparency into manual work, an action gap emerges between digital planning and physical execution. Physical Intelligence closes this gap.

Operational data matching shows: Grid boxes extend picking time by 30% and increase ergonomic load by 20%. The combination of WMS data and Motion-Mining® creates new transparency for logistics teams.

Manual processes in warehouses often remain invisible. However, Motion-Mining® makes movements, paths and ergonomic loads transparent and provides objective data for efficient, data-based decisions.

Fleet analysis using Motion‑Mining® showed that just over 25% of the real forklift capacity was being used. The automatically recorded vehicle movements make it clear that real peak loads rarely occur, many “peaks” can be avoided from an organizational point of view and that at least three out of ten truck-lift trucks can be saved without risk.

Motion‑Mining® shows that even in well‑structured order‑picking environments, up to 90 minutes of waiting time per shift can occur. Sensor‑based data uncovers where bottlenecks emerge, where idle time accumulates, and which constraints have the greatest impact on productivity.

Continuation of part 1: Motion-Mining® marks a paradigm shift in process analysis: While classic methods are based on manual observation or model assumptions, Motion-Mining® automatically collects process data in a real working environment.

Motion Mining®, REFA or MTM? For decision makers in intralogistics, production/manufacturing and retail logistics, the choice of method is therefore a strategic question. The wrong analysis method can tie up significant resources without providing the insights you're hoping for. Conversely, the right method at the right location enables measurable improvements in throughput times, workload and process quality.

How can logistics processes be designed efficiently before they are implemented? And what role does work design play in an increasingly digitalized world? In the latest episode of our podcast “Logistik Solutions – 5 Questions, 5 Answers”, we talk with Peter Kuhlang, CEO of the MTM Association e.V., about the significance of MTM. MTM is one of the core methods in industrial engineering and continues to set standards in efficiency, ergonomics, and process planning.

How are SAP solutions transforming logistics? And why is a holistic approach the key to successful digitalization projects today? In the latest episode of our podcast “Logistik Solutions – 5 Questions, 5 Answers”, we talk with Fin Geldmacher, Managing Partner at prismat GmbH, about the role of SAP technologies, automation, and data integration in modern supply chain processes.

Four years of research, four use cases: As part of the “Datenfabrik.NRW” project, industry and research partners jointly developed data-driven solutions for production and logistics. Using technologies such as Motion-Mining®, previously hidden “blackbox” processes were made transparent, enabling AI-powered optimizations in manufacturing and order picking.

BLG LOGISTICS uses MotionMiners' automated and anonymized process analysis for automotive and contract logistics. At the Hamburg location, the seaport and logistics service provider will save an entire hall on the basis of well-founded data. The key figures are also incorporated into process planning for the new building being built there.

In this article, we show how Motion-Mining® is used in a targeted manner in order picking and what optimization potential results from this.

Read our blog to learn why productivity is essential for economic growth and prosperity. We highlight the challenges in Germany and show how companies can increase efficiency and remain competitive through automation, digitization and flexible structures.

This blog shows how the transparent warehouse increases warehouse transparency and revolutionizes efficiency and customer satisfaction in logistics through modern technologies such as IoT, AI and WMS.

The use of humanoid robots not only promises changes in the industrial environment, but could also lead to a restructuring of the workplace by taking on routine tasks and relieving human labor.

This article shows how the combination of classic methods such as MTM with new technologies such as Motion-Mining® is revolutionizing process optimization and making it future-proof.

The role of artificial intelligence in modern logistics

In this article, you will learn what characterizes the workplace on the industrial shop floor today and how it will change in the future.

Ergonomics are essential in the modern working world to promote health and productivity. Through optimal workplace design and the use of innovative technologies, health risks can be minimized and efficiency increased.

In a rapidly changing trade environment, in which technological innovations and changing consumer expectations set the tone, retail logistics is becoming a decisive key function. How can companies meet the challenges of a globalized economy and revolutionize their logistics strategies in order to remain competitive?

In the world of process optimization, two methods are particularly prominent: REFA and MTM. But how do they differ?

The logistics sector, an essential part of the global economy, is facing an unprecedented challenge: the lack of skilled workers.

In recent years, Italian warehouse logistics has seen a wave of technological innovations that have revolutionized traditional processes. Automation, one of the most important driving forces, has transformed warehouses into intelligent and efficient spaces.

Imagine you work in the logistics industry, where packages of considerable weight have to be moved every day. This repetitive physical effort can lead to serious back problems in the long run.

ProGlove is no stranger to creating smart wearables. Their innovative wearable scanners are known for improving productivity and precision in industrial environments.

In mid-November 2022, students from two universities met in a lecture hall to silently push chairs with small slips of paper. Sounds bizarre? But on closer inspection, this experiment turns out to be an exciting logistics experiment.

Motion-Mining® and Six Sigma, two methods to improve the efficiency and effectiveness of a company.

Starting with the first idea, through the most important milestones and successes, to our products.

Impressive Motion-Mining® at Blumenbecker convinces works council members and employees.

In winter 2017, HUGO BOSS AG joined forces with MotionMiners GmbH to test our Motion-Mining® technology for analyzing manual work processes.