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Cleaning logistics data is getting easier thanks to Machine Learning

Some of them are a bit obvious to a human, but they wouldn't be obvious to an ETL script. You'd need to manually select the field and map it to the corresponding field in the tool you want to use. https://www.adionatech.com/

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Cleaning logistics data is getting easier thanks to Machine Learning

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  1. Cleaning logistics data is getting easier thanks to Machine Learning

  2. Some of them are a bit obvious to a human, but they wouldn't be obvious to an ETL script. You'd need to manually select the field and map it to the corresponding field in the tool you want to use. For example, "Delv_Qty" here would be "Quantity" in Adiona's system. Then you'd also need to ensure the units of quantity match, for instance maybe the source field has two decimal points but the target field needs to be an integer.‍

  3. Also, some fields are NOT obvious even to a human! What is the difference between "Tkt_Location_Lat" and "Delv_Lat"? Which latitude value should I use to specify my delivery location in Adiona and then how do I get it back into the correct field of the ERP system? A human would need to investigate the context of the data to decide. And there are dozens of fields here that need to be mapped. For more info, please visit: Logistics Optimization

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