21.01.2019 – 14:55
LogiMAT 2019 - First-hand auto-ID
Representatives of the auto ID sector are coming to the 17th annual LogiMAT with groundbreaking innovations for encoding, capturing, and integrating data - reinforcing their reputation as enablers of the digital revolution. Solutions ranging from security labels and RFID tags to transport monitoring and automated volume optimization provide customers with a wide range of benefits.
The auto ID sector can expect further growth in 2019. Automatic identification and data capture technologies - known simply as "auto ID" - deliver reliability and traceability and pave the way for digital innovation and next-gen industry and logistics. Recent studies show that German businesses are lagging behind their international competitors in digital technology. That underscores the need to gain ground in the smart encoding, capture, and integration of production and logistics data. Auto ID technology providers from around the world can be found in Halls 4 and 6 on the southern flank of the Messe Stuttgart convention center for the 17th edition of LogiMAT, offering a one-of-a-kind overview of how their solutions can help businesses innovate digitally. In the words of AIM Managing Director for Germany Peter Altes: "The digital supply chain, the smart factory, and an internet of things worthy of the name - these things are no longer a pie in the sky. LogiMAT 2019 is a good place to discover how much of this has already come down to earth."
You can find an excerpt from the supporting programme with expert forums translated into English here:
You can get online press-accredition until 05.02.2019 using the following link:
Kind regards Xenia Kleinert Leitung Marketing EUROEXPO Messe- und Kongress-GmbH Joseph-Dollinger-Bogen 7 80807 München Tel.: +49 (0)89 32391-249 Fax: +49 (0)89 32391-246 E-Mail: email@example.com www.logimat-messe.de | www.tradeworld.de |www.logimat.cn |www.exchainge.de Sitz München, Registergericht München HRB 114550 USt.-Ident.-Nr.: DE 812104196 GF: Christoph Huss, Peter Kazander, Dr. Petra Seebauer
Further material to download document: LogiMAT_PM-Ident-01-19_EN.docx