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How to send us your data so we can train your machine learning model

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Written by Assistant
Updated over a week ago

To get you the most accurate and precise predictions possible, the team needs to train a machine learning model using historical data from your brokerage. This is how we make sure the rates you see are tailored to your particular brokerage's buying power.

What Data to Send

We'll need a .csv or .xls file with your historical data. The easiest way to send it is by emailing the file to The more historical loads you include, the better. Two years or more of load data is ideal. The minimum number of loads we need listed is 544, with at least 32 being from the last two weeks.

Your .csv or .xls file should have the following fields:

  • Pick up city*

  • Pick up state*

  • Pick up zip

  • Drop off city*

  • Drop off state*

  • Drop off zip

  • Mileage

  • Equipment type*

  • Actual buy rate (Linehaul + Fuel)*

  • Weight

  • Booked date + time*

  • Pickup date + time*

  • Covered date + time*

  • Commodity description

*- mandatory field

How to Send Data

You can send your historical data to Greenscreens in a number of different ways:

  • Send it using STFP file transfer

  • Through your API

  • Through your Customer Success Manager via manual upload

  • By custom integration

Data Flow

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