Use cases > Customer service > Return merchandise authorization > MIE Trak Pro

Automate Return merchandise authorization Document Processing with MIE Trak Pro in 2 minutes!

Don’t transfer data from the Return merchandise authorization manually into MIE Trak Pro, let AI do it for you. Manual Return merchandise authorization data entry and traditional OCR solutions are slow, expensive and error-prone. Most importantly, they waste valuable employee talent.
Rossum’s unique computer vision technology reads the Return merchandise authorization in a way that ensures fast data capture and greater accuracy with repeated use. Reduce costs. Eliminate tiresome data entry. Turn your team into a driver of efficiency and growth with Rossum.

Many corporate entities use software such as MIE Trak Pro for accounting purposes. Manually entering data into these software programs is monotonous and time-consuming. It also wastes valuable staff resources that could be utilized elsewhere. Rossum's AI software contains computer vision technology that allows data to be automatically extracted and entered into business software programs. Implementing this technology can increase accuracy for data entry and enable your organization to deploy labor resources to other important tasks. This can streamline your operations while saving time and money.

Rossum is an AI document gateway that solves four key steps in document-based processes simultaneously: receiving documents across multiple channels, automated understanding, two-way communication for exception resolution, and acting on the data using in-depth integrations.

In typical real-world scenarios, Rossum’s proprietary AI engine outranks narrower data extraction solutions in accuracy. Meanwhile, Rossum’s platform automates document communication processes end-to-end. Rossum’s goal for every use case is at minimum a 90% document processing speed increase.

Rossum is ISO 27001 certified and HIPAA compliant, with enterprise-grade SLAs ranging up to a 99.9% uptime guarantee and 24/7 support.

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