TheLisboaLab @TheLisboaLab

SAP LGM. Ende der klassischen Logistikarchitektur? linkedin.com/pulse/sap-lgm-…

@spaceandtech_ Strong step in mobile robotics from Hyundai — especially combining AI, LiDAR & self-balancing mobility for real-world terrain. Next real challenge: seamless integration into industrial & logistics processes beyond standalone use cases. #Robotics #AI #Automation

@WevolverApp Strong use case for highly regulated industries like pharma. The real value of AMR/AGV solutions starts when autonomous transport is seamlessly connected with ERP, warehouse and production processes — creating true end-to-end logistics visibility and efficiency.

@andresvilarino Impressive evolution — especially the combination of dexterous manipulation and mobility for real warehouse environments. The real challenge now will be seamless integration into existing SAP-driven logistics processes, not just the hardware itself.

@JimHaynes1958 @CatoInstitute @KyleLHandley Tariffs are a blunt instrument for a complex economy. The real issue isn’t just policy direction - it’s the misunderstanding of how global supply chains and price signals actually work.

@AISitRep Just came across this: Open-source humanoid stack = hardware + control + AI + data. Feels like a “PC moment” for robotics. Question is: will innovation finally decentralize _ or will industry try to lock it back into closed systems again?

@andresvilarino @RTSG_News Dark factories represent the peak of Industry 4.0: maximum efficiency with minimal human involvement. But instead of a “progress vs. dystopia” debate, automation both displaces and creates jobs. The real question is how we adapt—but are we doing enough?

Inventory Myth Inventory carrying cost: ~15–30% annually (CSCMP range). Yet companies still use stock as “resilience.” It hides inefficiency instead of fixing it. 👉 Is safety stock strategy or just expensive delay?

@siliconcarnesf Already demonstrated with Flexus FlexGuide4 in SAP: mixed robot fleet control in one system. FlexGuide4 even won the SAP Innovation Award for exactly this approach. The hard part is execution stability, not coordination.

@VanishreeBhatt6 „No baggage“ mindset, but operating like an unstructured warehouse. At scale, the problem isn’t storage _ it’s missing process discipline.

@McKinsey 79% of companies use GenAI somewhere, but supply chain and manufacturing are still in the single digits. That gap matters: the hardest areas are often where the biggest gains are.

@XRoboHub Not about marathon time. It’s about humanoids moving from demos to deployable platforms. Shared stacks across universities = acceleration. For intralogistics: this is the shift from fixed automation to adaptable robotics.

@erickimberling It would be interesting to know whether the issue was more related to system integration, testing, or operational execution. In any case, situations like this show that digital transformation isn’t just an IT project, but a deep organizational change.

Lead Time Asia→Europe lead times: 30–60 days. Nearshoring: often <10 days. Yet many CEOs still treat logistics as procurement. 👉 If speed defines competitiveness, why is lead time not a board KPI?

Most CEOs optimize for cost. But disruptions can cost 5–10% of annual revenue (McKinsey). One crisis erases years of savings. Nearshoring shifts focus from cost to risk. 👉 Is cost still the right primary KPI?

3 reasons why nearshoring is winning right now: Speed > cost Flexibility is becoming critical Risk is being reassessed Anyone optimizing only for “cheap” will lose in the long run.

Nearshoring, simply put: Production closer to the home market instead of on the other side of the world. Why it’s taking off right now: – supply chain disruptions – geopolitical tensions – rising transportation costs Efficiency is beating cheap labor.

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