Tag: predictive analytics

Electronic Logging Devices
More hopes and hazards: ELD data aggregation for advocacy, predictive maintenance, other uses
Some research organizations and even ELD providers are using aggregate ELD data to advocate for regulatory change or other industry purposes. Other providers are building potentially powerful predictive tools around maintenance, both of users’ trucks and the roads they operate on.
June 26, 2019
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Business
Rate forecast functionality coming to Truckstop.com’s Rate Analysis tool in Q1 2017
The Rate Forecasting tool will allow users to “predict the future” in a sense, offering the ability for carriers and brokers to see with some confidence just “where you’re going with rates,” company reps said.
November 4, 2016
This slide illulstrates part of the wealth of data on which the Rate Forecasting tool is based. Forecasts within it are expected to be customizable by lane and trailer-type (segment).
Business
Carriers’ crystal ball extending to recruiting
Your next lease or employment application could well hinge in part on whether predictive, data-based recruiting models suggest you’re a good fit for whatever fleet you hope to join forces with — or not.
February 12, 2015
Jonah Hill plays the character in “Moneyball” who convinces the manager played by Brad Pitt that he should recruit players based on a close examination of their personal data.
Business
Carriers’ crystal ball: Load One keeps drivers with help of Stay Metrics
The Stay Metrics program uses driver feedback to improve retention. It does this by tracking engagement in a rewards program and evaluating results of periodic satisfaction surveys and exit interviews.
July 2, 2014
Load one uses Stay Metrics, whose program uses driver feedback to improve retention. It does this by tracking engagement in a rewards program and evaluating results of periodic satisfaction surveys and exit interviews. It targets fleets of 100 to 1,000 trucks and has clients such as Maverick Express, ProFleet and P&S Transportation.
Business
Carriers’ crystal ball: John Christner Trucking gains from ‘big data’
Christner uses Athena, a new product from Vigillo, the industry’s leader in CSA data analysis. Athena uses a broad range of data, from driver-generated and CSA-related to information from areas such as weather reports and population density stats.
July 1, 2014
John Christner Trucking uses Athena, a new product from Vigillo, the industry’s leader in CSA data analysis. Athena uses a broad range of data, from driver-generated and CSA-related to information from areas such as weather reports and population density stats. It emphasizes improving safety, efficiency and profitability. It targets fleets of 50-plus trucks.
Business
Carriers’ crystal ball: Averitt Express boosts safety with FleetRisk Advisors
FleetRisk uses extensive trucking data, such as drivers’ starting times or change in empty miles relative to fleet average, to help fleets with safety, retention and workers comp.
June 30, 2014
Averitt Express uses FleetRisk Advisors, whose clients are mostly 500-plus truck fleets such as Maverick Transportation, Roehl Transport and Covenant Transport. It uses extensive trucking data, such as drivers’ starting times or change in empty miles relative to fleet average, to help fleets with safety, retention and workers comp.
Overdrive Radio
Carriers’ crystal ball: Fleets using driver performance data more than ever
Fleets have long used performance data in driver scorecards to help identify and address problems. Now, with the help of companies that specialize in predictive analytics, fleets are trying to head problems off before they happen.
June 27, 2014
jonahhill
Overdrive Extra
The pros and cons of bringing ‘Moneyball’ to trucking
Have any of the industry’s good intentions (longer retention, improved safety) with predictive analytics had effects that drivers would consider not so good?
February 16, 2014
Jonah Hill plays the character in “Moneyball” who convinces the manager played by Brad Pitt that he should recruit players based on a close examination of their personal statistical data.
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