New Whitepaper: Readi Integrates with All Major ELDs to Predict Driver Fatigue
We are thrilled to announce the release of our latest whitepaper: Readi Integrates with All Major ELDs for Personalized Driver Fatigue Prediction.
This in-depth report explores how Fatigue Science’s Readi platform integrates with Electronic Logging Devices (ELDs) to provide personalized fatigue predictions for each driver, generated in advance of every shift.
As a state-of-the-art fatigue prediction solution designed to enhance safety and operational continuity in the trucking industry, Readi is able to support API integration with a wide range of ELD providers, including all of the most popular systems. Unique in the fatigue management industry, Readi uses Machine Learning to interpret ELD data in tandem with a variety of personal and confidential data factors, and a massive proprietary training dataset based on wearables deployed in the field, to ensure fatigue predictions are unique, personalized, and reliable to each operator.
The whitepaper also explores how Readi’s personalized fatigue predictions are used operationally, specifically by fleet dispatchers, to make smarter dispatch decisions that avert catastrophic risks on the road.
To learn more about the benefits of Readi’s integration with ELDs and how it can help your organization enhance safety and operational continuity, click on the link below to download the whitepaper now.