Using a predictive database for AI-enabled RPA

  • Predictive project expenses
  • Sales recommendations
  • Job application management
  • Contract management
  • Predictive production planning
  • Classifying & managing e-mails

The process

256 invoices were exported from the financial program Netvisor and converted to JSON for upload to Aito. The robot opens the invoices one by one from Netvisor and reads the necessary fields: supplier, account number and purchase amount. After this, the robot asks Aito to predict these fields in the account assignment spreadsheet. Aito also predicts the accuracy rates and will only fill in the fields if the accuracy rate is high enough. If it is not, the user will be urged to fill it in the necessary fields manually. Aito will learn along the way so the accuracy will be improved all the time. An accuracy of 77% was reached with this small data set. The robot continues the process until all invoices are processed.

Phase 1: Prepare data, define results and train the algorithm.
Phase 1: Prepare data, define results and train the algorithm.

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Aito.ai decision automation in the cloud. #ML for #nocode and #rpa operators.

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aito.ai

aito.ai

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Aito.ai decision automation in the cloud. #ML for #nocode and #rpa operators.