How contractors & farmers increase productivity & accuracy with Geodirect’s Machine Control solutions

As a contractor, you want machines that perform consistently and efficiently every day. Less staking, higher precision, and a direct data flow between design and execution. However, in many projects, traditional staking and measurement processes slow this down: they take time, cause downtime, and regularly lead to deviations during the work.

Consequently, your operators need greater execution accuracy, less dependence on staking crews, and real-time visibility of depth, position, and design models. At the same time, the process must become more predictable to reduce rework costs and keep the schedule tight.

Geodirect provides a complete machine control configuration for this purpose, making execution fully model-driven. Instead of manual staking and waiting for surveyors, the workflow runs on a single continuous data stream with an RTK connection. Machines excavate, profile, and level directly according to your models, while operators in the cab see real-time height, position, and design information. Waiting times disappear, errors decrease, and the production line keeps moving.

With machine control, the fleet becomes part of a closed loop. Excavators, dozers, and graders work with centimeter-accurate positioning and always up-to-date models. Operators perform tasks autonomously and predictably: without extra staking work and with significantly less downtime.

The configuration is always precisely tailored to your fleet, model delivery, and the company’s execution process. This includes sensor calibration, data links, model validation, and integration with office software. During implementation and practical training, teams learn to work accurately, independently, and repeatably right away. Lead times decrease, deviations become visible early on, and projects are easier to plan and scale.

This approach delivers measurable results: higher accuracy in earthmoving and profiling, fewer staking rounds and more efficient use of surveyors, faster work during repetitive excavation and shaping tasks, lower rework costs through direct model-driven execution, and a more predictable schedule through real-time machine insight.