Direct transports
One or a few shipments move with minimal handling directly between pickup and delivery. This becomes relevant for sensitive goods, tight delivery windows, or dense recurring relations.
Less-than-truckload operations demand strong dispatch, realistic capacity evaluation, and clean restriction logic. Our software helps consolidate shipments intelligently and plan pre-haul, linehaul, and post-haul as one system.
Why this structure is different
LTL combines consolidation, capacity logic, and service commitments in one model
Direct and network transport have to be evaluated against each other shipment by shipment
Operational restrictions drive profitability, not just the shortest route
LTL sits between classic groupage and full truckload. Shipments are often too large or too restrictive for parcel-like networks, but still do not fill a truck. That is exactly where consolidation, network structure, and loading logic become decisive.
LTL sits operationally between groupage and full truckload
Consolidation is only useful if restrictions, transit times, and service promises are respected
Pre-haul, linehaul, and post-haul often need to be planned as one connected transport structure
Capacity is not defined by weight alone, but also by load meters, slots, and dimensions
Time windows, cut-offs, and scheduled linehaul services directly influence dispatch
Routing, dispatch, and load planning must work together operationally
One or a few shipments move with minimal handling directly between pickup and delivery. This becomes relevant for sensitive goods, tight delivery windows, or dense recurring relations.
Shipments are collected in pre-haul, consolidated through hubs or cross-docks, moved in linehaul, and delivered in post-haul. This model is especially economical where recurring relations and stable volumes exist.
Many operations combine both approaches. Depending on shipment structure, service level, relation, and utilization, dispatch must decide whether a shipment should move directly or via the network.
Orders need to be combined so capacity is used well without violating transit times, restrictions, or service commitments. Free space alone does not guarantee an economical combination.
Weight or cube alone is not enough. Load meters, pallet slots, dimensions, stackability, overhang, and special sizes all contribute to real capacity usage in LTL.
Pickup, linehaul, delivery, and handling processes need to be considered together. Planning quality depends on whether those stages are optimized as one chain instead of separately.
Pickup times, delivery windows, hub cut-offs, scheduled departures, and customer-specific service requirements directly affect which dispatch option is feasible and economical.
Many systems treat LTL either like simplified FTL or as a groupage variant. Both approaches miss the specific mix of consolidation, capacity logic, and operational restrictions.
In practice, plans often fail because routing, dispatch, and load planning are treated separately. The result may look fine on paper but trigger heavy manual rework in operations.
Typical outcomes are incomplete capacity checks, poor vehicle matching, inefficient consolidations, avoidable empty mileage, and higher dispatch effort.
How our software makes LTL manageable
Our software helps companies plan LTL in a structured, scalable, and economical way. Operational complexity is not simplified away. It becomes part of a decision model that improves transparency, utilization, and service quality.
Our software helps combine compatible orders systematically so capacity is used better and economical tour combinations become visible.
Each shipment can be evaluated to determine whether direct execution or integration into a network model is more economical and service-compliant.
Pickup, delivery, and handling processes are modeled in one continuous planning logic instead of being optimized step by step in isolation.
Load meters, weight, pallet slots, dimensions, loadability, sequence, and equipment needs are all part of the optimization logic.
The outcome is not just mathematically efficient but practical to execute in day-to-day LTL dispatch.
Higher utilization
Less manual dispatch work
More planning security
Better economics
Higher service quality
More scalable processes