TechValidate Research on Loftware

Loftware Case Study

Siemens AG Uses Loftware to Address Complex Customer and Regulatory Requirements


This case study of Siemens AG is based on an April 2017 survey of Loftware customers by TechValidate, a 3rd-party research service.

“Loftware is a reliable partner, providing leading edge labeling solutions along with outstanding services and support.”


Siemens implemented a Loftware Enterprise Labeling Solution to address complex customer labeling requirements and to ensure compliance with evolving regulations. They also needed a solution that would help them eliminate the costly delays and downtime they were experiencing with their existing labeling solution.

Use Case

Siemens was able to simplify their label design and empower business users to update labels. This saved a great deal of time and money, increasing customer responsiveness and eliminating costly mistakes.


After standardizing on a Loftware solution, Siemens was able to reduce the time and costs involved in managing and maintaining multiple label systems. Now they were better equipped to address both evolving regulatory and customer requirements. This also meant being able to improve label accuracy and reduce the risk of costly errors and regulatory fines.

By integrating Loftware with existing business applications, Siemens was able to eliminate manual labeling efforts, make label changes quickly, and remove the risks associated with maintaining label data outside of enterprise applications. This also enabled the company to avoid mislabeling errors and scale labeling to meet their business growth while supporting expansion into new markets.

Using Loftware, Siemens was better equipped to improve the handling of requirements such as content, barcodes, images/branding, formatting and language and enable better responsiveness to customer labeling changes.

About This Data

This data was sourced directly from verified users of Loftware by TechValidate.

TechValidate verifies the identity and organizational affiliation of all participants that contribute to published research data. When research participants so desire, we also guarantee their anonymity so that they may share information honestly and freely.

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