Enabling the Greenscreens App
If you have a Greenscreens.ai account, you can connect it to your Chain account to sync the Greenscreens' Lane Rate Prediction data into Chain. This allows your team to see the Greenscreens predicted lane rates on all available posts inside of Chain.
To get started, in your Chain account:
Click your Avatar on the top right ,which will open a menu
Select
SettingsIn the Settings menu, select
AppsFind the Greenscreens app and click
Enable, and then again on the confirmation pop-upYou will be asked to add your Greenscreens
client idandclient secret. If you don't have this available, ask your Greenscreens account manager for this information.Click 'Enable' and that's it
Depending on your plan, your loads will start to sync inside of Chain.
Enabling Chain as "Capacity on Tap" in Greenscreens
To enable Chain as a Capacity on Tap option inside of Greenscreens, you will need to generate an API Key in Chain and provide it to your Greenscreens support rep. Once this is done, you will be able to see Chain as an option in the Capacity on Tap section of Greenscreens. Here are instructions on how to generate an API Key in Chain:
Click your Avatar on the top right, which will open a menu
Select
SettingsIn the Settings menu, select
DevelopersClick
Create keyMake sure to select
capacity:readpermissions underAPI PermissionsClick
Create keyCopy the key and provide it to your Greenscreens support rep
Greenscreens + Revenova
If you have both Greenscreens and the Revenova app enabled, you can utilize both of these apps together to sync Greenscreens' Lane Rate Prediction data into Revenova as well if you don't already have an active integration between Revenova and Greenscreens. When both of these apps are enabled, you will see the following fields in Revenova:
Note that the "total" fields are determined by the "per mile" rate multiplied by the distance from Revenova. i.e. gs_Target_Buy_Ratec = gs_Target_Buy_Per_Mile_Ratec * gs_Distance__c
Data | Description | Revenova API Field Name |
Target buy rate total | Total Target buy rate (fuel included). |
|
Start buy rate total | Total Suggested starting buy rate for negotiations with the carrier (fuel included) |
|
Low buy rate total | Total Low boundry of the buy rate (fuel included) |
|
High buy rate total | Total High boundry of the buy rate (fuel included) |
|
Fuel rate total | Total Fuel surcharge |
|
Target buy per mile rate | Target buy rate (per mile, fuel included). |
|
Start buy per mile rate | Suggested starting buy rate for negotiations with the carrier (per mile, fuel included) |
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Low buy per mile rate | Low boundry of the buy rate (per mile, fuel included) |
|
High buy per mile rate | High boundry of the buy rate (per mile, fuel included) |
|
Fuel per mile rate | Fuel surcharge (per mile) |
|
Confidence level | How confident the system is in the prediction it is making. From 0 (lowest) to 100 (highest) possible confidence |
|
Currency | The currency that the prediction values are in (ISO 4217 format) |
|
Distance | Total distance of the trip (in miles). |
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