As part Coretex’s Electronic Logging Device (ELD) solution ready-mix fleet managers can deploy a custom ELD ruleset that uses special ‘Waiting’ status for Ready-Mix drivers. This attributes time towards the 30 minute break requirement but for it remains as off Duty for FMCSA views.

The Coretex DVIR solution offers fully customizable pre- and post-trip checklists for tractors and trailers and the ability for drivers to add and remove vehicles and trailers throughout the day.

Cut fuel costs and vehicle wear. Identify poor driving with remote monitoring of fuel consumption, basic fault codes and odometer. A richer set of data, including  time on brakes, distance on brakes, speed vs RPM and emissions is available via Advanced Engine Monitoring.

The Coretex in-cab driver feedback feature harnesses a three-axis accelerometer plus GPS and EMS data to give drivers precise, instantaneous in-cab feedback on speed, cornering, idling, braking, acceleration and a wide range of other events. It also puts control in your hands with preset or programmable range tolerances for auditory ‘buzzer’ and visual alarms.

Integrated statusing captures highly accurate job information for billing and dispatching without driver input. It takes information from multiple inputs and accurately updates job status. It functions even without drum rotation sensors and accommodates manual status changes.

Full two-way integration with Marcotte, Command Alkon, Jonel, and WheresMyConcrete for jobs, auto statusing, water add and location tracking. Sends real-time job information between dispatch systems and drivers and automatically creates jobs incorporating predefined workflow steps. Status changes and other information are  sent back to the dispatch system in real time.

Combining Power BI tools with our high definition device data, Coretex dashboards give you insight like never before. With reports and dashboards specialized to the construction industry, you can easily see your utilization, total ticketed and more – enabling you to make informed business decisions.

Data includes:

• Job count
• Cubic yards ticketed
• Lead distance
• Waiting time
• Trip time
• Driver behavior
• KPI Violations based on vehicles over accepted waiting time