NiceLabel recognized by the worldwide association for the automatic identification industry

4. Oct. 2018

NiceLabel was selected by AIM, the trusted worldwide association for the automatic identification industry, providing unbiased information, educational resources and standards, as winner of the 2018 AIDC Case Study Competition.

Presented annually by AIM, the Case Study Competition recognizes those who have developed and delivered compelling solutions that contribute to the growth and advancement of automatic identification and data capture (AIDC). These innovative technology solutions provide benefits that decrease risk and accelerate the advancement and adoption of automatic identification around the world. The competition was open to both AIM members and non-members around the world to help promote collaboration and knowledge sharing within the industry.

“NiceLabel is focused on helping its customers digitally transform their labeling processes to reduce costs and grow their business,” said Ken Moir, Vice President of Marketing at NiceLabel. “We are honored to be selected by AIM for an award that underlines the collaborative effort of our global team, partners and customers. This recognition is especially meaningful because it is based on the customer case study, showing the superior value that NiceLabel brings to their business.”

L'entrée de NiceLabel présente un projet pour la centrale globale de Siemens. Le projet d'étiquetage centralisé fournit des étiquettes de codes à barres multilingues en temps réel à des sites de fabrication et de logistique hautement automatisés. En déployant le LMS (système de gestion de l'étiquetage) de NiceLabel sur un Cloud privé de Siemens, NiceLabel a pu atteindre le niveau de normalisation et de flexibilité dont Siemens avait besoin. Siemens a installé la solution NiceLabel pour en faire sa plateforme globale centralisée pour la production et l'impression d'étiquettes, pouvant être déployée sur plus de 20 sites à l'international. De plus, le LMS s'intègre en toute transparence aux systèmes PLM, MES et ERP de Siemens. Ce projet a non seulement généré un retour sur investissement en 4 mois, mais a aussi réduit le temps d'impression des étiquettes de 266 %.

L'étude de cas récompensée est disponible ici.

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