Set appointment limits by load type

The side-loading bay is occupied, and another flatbed is waiting. There is space at a van dock, but this load needs access from the side. A single count of free doors would miss the reason for the queue.

DataDocks creator and CEO Nick Rakovsky describes a facility receiving flatbeds, vans, and other trailer types through a first-come, first-served process. The manager wanted faster sign-in. Nick found that the arrival pattern and a shared access point needed attention too.

Watch Nick walk through the changes he proposed below (11:08), including appointment limits, clearer driver instructions, and paperwork prepared around the load.

Set limits around the work each load needs

In Nick’s example, different truck types needed different areas and took different amounts of time. One truck stopping to complete paperwork could block the route for everyone else. A total truck count concealed those constraints.

Before setting a booking limit, identify where each load can be handled, how long it normally occupies that area, and which people and equipment it needs. Two empty dock doors offer little help if the next load needs side-loading space that is already occupied.

Nick proposed limiting bookings by truck type and directing loads to the appropriate area. That gives the team a way to spread demand across the resources doing the work.

Show carriers the times their load can use

Suppose a facility uses one side-loading bay for flatbeds and two separate dock doors for vans. Each booking takes an hour, with crews and equipment available for those areas. Switch the requested truck type below to see which times can accept another booking.

At 09:00, both van doors are free, but the flatbed bay is occupied. At 10:00, the bay can take a flatbed while both van doors are booked. Offering the same availability to every carrier would miss that difference.

Check shared constraints as well. If those areas depend on the same operator or access lane, their combined bookings need to respect that limit. The illustration assumes separate capacity; your booking rules need to reflect how your facility actually works.

Knowing the load in advance also lets the team prepare its forms and tell the driver where to go. Nick stresses giving clear instructions about where drivers can wait or complete paperwork, so those tasks do not block the route.

The manager in Nick’s story ultimately decided the facility was not ready to change. Agreeing the process with the team is part of the work: who sets the limits, how carriers book, and how exceptions get handled.

How DataDocks helps

DataDocks lets teams configure capacity limits and scheduling rules around load requirements, dock restrictions, and booking windows. Automated notifications keep drivers and carriers informed about appointments and door assignments, helping the team put that plan into practice.

See how DataDocks could fit bookings around your facility’s capacity.