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Case study

Norway’s leading supplier of steel and metals explores how to improve operational processes RPA and AI

Read the interesting case study of Norsk Stål

RPA and AI case study of Norsk Stål:

Norsk Stål AS is Norway’s leading supplier of steel and metals. The company has an annual turnover of around NOK 2 billion. It employs some 280 employees across 13 locations nationwide and works within several market segments, including offshore, shipbuilding, construction, and engineering.

In this RPA and AI case study, Norsk Stål explores how to improve operational processes through ongoing development. Intelligent digital workers are applied to bring hours back to business, speed up transaction times, and improve the quality and efficiency of inventory management.

Digital Workforce provides its Norwegian client with intelligent digital workers as a cloud service. Our Robot as a Service industrial automation platform allows for building and connecting with automation capabilities in the same solution. The solution built for Norsk Stål combines Blue Prism Robotic Process Automation (RPA) technology with Machine Learning and is delivered from Microsoft Azure.

This case study answers questions like:

  • How can Machine Learning be used to extend the capabilities of RPA?
  • How can AI be used to optimise processes?
  • In what ways can a company strategy be supported by Intelligent Automation?
  • Why is a cloud service model an efficient way to implement robotics?
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