There are a wide range of terms to describe artificial intelligence and machine learning. CrewBuilder uses these two technologies to assist you with managing your projects. A.I. provides simple functions so you don’t have to, such as making sure the resources you are scheduling have the right skills, capabilities, and credentials. We use machine learning to optimize schedules based on which resources you need, when, and where. In short, machine learning is the math that “runs the numbers” to find an optimal solution. In our case, it’s scheduling out resources for labor, equipment, materials, and subs. A thinking schedule is a tool to help make sure things don’t fall through the gap with automated processes, such as critical path analysis to warn you of potential scheduling issues—like how bad weather might delay a project.
There are a lot of things to do when managing a construction project, it’s often described as managing chaos. Thinking schedules provide a layer of assistance that recommends draft scheduling for LEMS, one that continually makes sure project requirements are taken care of—so things don’t fall through the cracks. For example, managing union crews can be challenging to make sure all construction site requirements are met. These may include badged credentials, OSHA cards, CPR cards, skill level and tracking among others. It’s easy to forget who has what skills and credentials. Assigning over skilled or under skilled carries a price in quality or cost.