Case Study: LAPP achieves 94.9% data field accuracy with Rossum AI order automation

A Rossum Case Study

LAPP achieves 94.9% data field accuracy with Rossum

LAPP, a global supplier of cable and connection technology, faced a challenge processing over 350,000 manual orders annually across EMEA. With a product catalog of 40,000 items, their manual entry process was time-consuming and prone to errors, limiting growth. To address this, they partnered with Rossum to automate their order management.

Rossum implemented its AI-powered document processing platform to automatically extract data from orders without templates. The solution achieved 94.9% data field accuracy, significantly reducing manual work and error rates. This allowed LAPP's teams to reclaim valuable time and focus on strategic growth, boosting both operational agility and customer satisfaction.


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