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