Morton Salt saves up to 95% on its time spent per document


  • 95%

    time saved per document

  • 71%

    STP (automation) rate

  • 10

    seconds average time per document

The Chicago-based Morton Salt is North America’s leading producer and marketer of salt for both food and chemical purposes. In 2021, Morton Salt became part of Stone Canyon Industries Holdings, Inc. and operates more than 20 production facilities across North America.

The Challenge

As a major industrial supplier, the company’s data entry team had seven specialists focusing on the steady stream of purchase orders from a variety of trading and manufacturing customers. Each document set had its own unique format by the particular business partner. The materials POs typically feature long and complex line item tables that were insurmountable for traditional template OCR – the original process meant mostly manual data entry with light support from a templating solution.

The Solution

Rossum provided a highly accurate dedicated AI engine trained specifically on Morton Salt’s purchase orders, built and continuously adapting purely by human data validation.

 

“We’ve done a good job of getting a very high percent of our documents through the solution quite quickly. It remembers everything, that’s fantastic!”

Amy Rybicki, Business Processes Improvements Manager

 

Rossum is integrated with Morton Salt’s ERP via the Invoke Inc. business automation consultancy using the BluePrism RPA platform. Rossum entered production usage one month after the solution purchase. The integration proved to be an extensive project due to various specific concerns, but Rossum’s agile onboarding approach allowed Morton Salt to quickly take advantage of Rossum for the majority of documents in its production process.

The Impact

Morton Salt’s customer service representatives loved Rossum’s easy, fast user interface and were able to use it immediately without any special training. The initial AI training took just a few hundred of purchase orders, and the team now achieved 95% faster processing times on the same document volume.

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