Starting situation
Enormous amounts of data are generated daily in the supply chain of an internationally operating trading company. Much of this information was additionally exported into spreadsheets and documents for business processes, manually checked, and further processed.
However, as the data volume grew, so did the effort, susceptibility to errors, and process duration. Therefore, a solution was sought that would automate recurring document processes, relieve employees, and be quickly implementable at the same time.
Challenges
Process large volumes of documents efficiently
Numerous exported data sets and tables had to be managed daily.
Reduce manual process steps
Recurring testing and administrative tasks caused a high workload.
Minimize susceptibility to errors
Manual processing led to inconsistencies and potential sources of error.
Meet short development timelines
The solution should be deployable in a short period of time.
Create user-friendly processes
Automation had to be easy to use and simple to integrate.
Integrate AI into existing processes
The solution had to work reliably with existing Office and Windows processes.
Solution
What our expert says
Alexander Dolgopolsky
Head of Data & Artificial Intelligence
„AI tools today enable very rapid solution development that addresses tangible user pain points. Usability, reliability, a solid architecture, as well as security, compliance, and governance remain crucial.“
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