RPA is allergic to uncertainty. If the input data has missing values, the robot doesn’t know what to do and calls for human intervention. So either you have to spend a lot of effort continuously cleaning up data or endure low automation rates... Unless you incorporate intelligence in the process to predict the most probable value for the missing data. This turns RPA into IPA (Intelligent Process Automation).
Aito provides the component of intelligence to get this done.
If you want to learn more about this use case, read our related blog post.
Aito is a predictive database that works through a REST API.
The Aito workflow constitutes from 2 steps:
In this example case we have already uploaded the data into Aito and only go through what kind of data we have and what kind of example queries you could do using the data.
The Aito console can be used to drag'n'drop CSV files to Aito.
The dataset contains +5000 rows of typical invoice information such as descriptions, vendor codes, invoiced amounts and so forth. The data is originally from Kaggle.
|15001||VENDOR-1676||GL-6100410||83.24||Artworking/Typesetting Production Jun 2009 Cha...||CLASS-1963|
|15002||VENDOR-1883||GL-2182000||51.18||Auto Leasing Corporate Services Corning Inc /N...||CLASS-1250|
|15004||VENDOR-1999||GL-6050100||79.02||Store Management Lease/Rent Deltona Corp Real ...||CLASS-1274|
|15005||VENDOR-1771||GL-6101400||48.5||Store Construction General Requirements Coloni...||CLASS-1522|
When your data is in Aito Predictive Database, you are ready to make predictions. Here are a few examples queries of what you can do.
You can send the queries using cURL or your favorite REST client and change the values to make different predictions.
You can try this case study yourself by following these steps:
Request your instance in the Aito console and drag'n'drop your CSV file on the instance page. Then you're all set to make your predictions!
We're happy to help you get started turning your own RPA into IPA!Back to showcases
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