1. To start using the Greenscreens.ai Web application please use the following link - https://app.greenscreens.ai/
2. Input the credentials of the GS Broker user
3. Select equipment type, pick up and drop off zip code/city + state and click on the “Get rate” button
4. To get a more precise rate click on the “Show additional parameters” button and input Weight, Commodity, and Pick up date and time. Note that pick up date and time will default to the next day at 8:00 but can be updated.
5. In the right part of the screen the System shows the Greenscreens.ai predicted rate and market activity information. In this section the System will show:
Target buy rate, confidence level, and negotiations start rate powered by machine learning engine
Sell rate calculator
Ability to send and/or copy the Customer's quote
Ability to add and request a bid from the Carrier
Leave feedback for the rate
Greenscreens.ai indices - inbound and outbound load flow for both pickup and drop off
Route map for the selected lane
6. The left part of the screen includes several decision support tools related to historical information. Each section is referred to as a "widget". The following widgets are currently available.
Short term history widget. The upper part of this widget shows the most short term historical data for the last 7, 15 and 30 days. The large text in this section represents the AVERAGE rate for the lane in this time period. Users can use the "Mkt", "3d zip" and "5d zip" buttons to expand or contract the geographical region represented in the data. Note that a green dot beside the button indicates that there is data available at that geographical level. In the lower part of the widget the System shows graph with dots that represents actual loads - the bigger and bolder the dot, the more activity there has been. By hovering over the dot you will see a summary of load activity including date, average rate, and number of loads. You can click on each dot and view the details of the load activity.
Recent bids widget. Shows last 10 bids received from the Carriers through the Greenscreens.ai Carrier bid functionality. You can select the geography level for which you want to view the bids and also add a new bid by clicking to the "Add bid button" to manually add a new Carrier bid for the lane. For more information on Carrier bids, please review the articles
here
Recent quotes widget. Shows last 10 quotes sent to Customers through the Greenscreens.ai Customer quote functionality. You can select the geography level for which you want to view the quotes. For more information on Customer Quotes, please review the articles here
Top Carriers widget. Shows list of your Carriers who have previously moved a load for the selected lane in the last 3 months. The list of carriers here represent carriers that are in YOUR network who may be eligible to move a new load for you. This widget includes the Carrier Name, # of loads they have move, last shipment date, last rate, average rate, and the carrier’s minimum and maximum rate on the lane. You can select the geography level for which you want to view the top Carriers, request a bid from particular or all Carriers from the list. Perhaps you want to see carriers who may have had activity with you in the market but not specifically in the selected lane. You may also want to request a bid from particular or all Carriers from the list. Carriers for whom email information has been provided to Greenscreens.ai will have the green dollar sign icon available. For more information on the Carrier Bids feature, please review the articles here
Long term history. Graphically shows min, max and average rate and number of reports for the last 12 month for both market rates and your own historical data. You may also expand and contract the geographical area using the buttons in the upper right corner of the widget.
Negotiations coach. Shows useful advices that can be used for negotiating a price with a Carrier as well as other insights that may impact your ability to negotiate and price levels for the lane.
Lane analytics. Shows several KPIs for the selected lane based on your historical data - cover time, lead time, transit window, average margin
