WheresMyConcrete, a cloud-based and telematics-connected dispatching, analytics and customer service tool, is now available for Mack ready-mix customers seeking asset visibility, dispatch efficiency and real-time data identifying exactly where a concrete load is in the delivery process.
“WheresMyConcrete helps Mack’s ready-mix customers better track vehicles, while also offering analytics to improve operational performance, enabling the more efficient management of their trucks,” said Tim Wrinkle, Mack construction product manager. “This tool gives managers information in real-time, helping eliminate the potential for unnecessary downtime on the job site.”
The tool, a new addition to Mack Fleet Management Services, provides real-time data for concrete mixer fleet dispatchers, improving transparency and service to customers, as well as providing critical analytics designed to help improve operations. Utilizing Mack’s factory-installed GuardDog Connect integrated telematics platform, WheresMyConcrete is available on Mack truck models equipped with a Mack engine, including the Mack Pinnacle, Granite, TerraPro and LR models. GuardDog Connect is standard on these Mack models.
WheresMyConcrete can be tailored to ready-mix customers’ needs, including those who need only GPS tracking of their trucks. Additional features can be bundled to enhance the service, including digital tickets, electronic billing, sales tracking and analytics, and driver payroll management. Ready-mix customers are able to access WheresMyConcrete’s up-to-the-minute information either online or through a free mobile app.
The system also allows contractors to download a free app to track deliveries with live traffic and up-to-the-minute ETAs, improving delivery precision. Contractors also can see current, upcoming and past orders, review digital tickets and signatures, and pay invoices online.
Ready-mix companies can also access powerful analytics offered by WheresMyConcrete for a detailed look at yards/man-hours, dead time, driver performance, and contribution margin analyses.