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Featured Articles

AI in Logistics and Production: When Does It Bring Measurable Value?

AI in Logistics and Production: When Does It Bring Measurable Value?

What decides whether AI truly adds value for a company? And why is it often easier to produce a working pilot than to immediately expand a solution across factories? A panel at Trends in Automotive Logistics 2026 shared real-world experience with the use of AI and explored its limitations and potential for global deployment. Learn what approaches to artificial intelligence proved effective for industry leaders.

Optimisation based on your goals? Your plant offers thousands of options. A solver finds the best.

Optimisation based on your goals? Your plant offers thousands of options. A solver finds the best.

Planning in manufacturing and logistics can run aground even in a well-managed company. And the fault might not lie in a lack of know-how or a weak system. Variability and constraints are growing in every factory today, while priorities are changing up to several times a day. In these circumstances, it’s simply beyond human capacity to find a solution that meets all the often conflicting requirements. These may involve increasing the number of orders picked, deciding how best to group them or minimising human movement in the warehouse.

Automation Starts with Processes, Not Robots

Automation Starts with Processes, Not Robots

An automation project’s success is built on more than just your choice of technologies. Above all, it’s built on good data, well-configured processes and a realistic plan. How can you integrate simulations, digitalisation and AI so that your investment weathers changeable operations? Jan Vavřík from Amazon, Rostislav Schwob from Aimtec, Roman Černohous from Logio and Libor Mihalka from LogTech shared their experience at June’s TAL 2026 conference.

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