Route Optimization for LTL Freight
Customized route optimization for less-than-truckload freight — multi-trailer dispatch, hook-and-drop relay coordination, and linehaul + P&D that can be optimized independently or together.
LTL freight operations carry constraints most routing tools handle piecemeal: linehaul between service centers, pickup-and-delivery at customer docks, multi-trailer dispatch with pups and doubles, and hook-and-drop relay handoffs that need to align. BOSOPT handles linehaul optimization, P&D optimization, multi-trailer dispatch, and hook-and-drop relay scheduling — calibrated to your operation. When linehaul and P&D need to be planned as one connected problem, that's supported too.
What BOSOPT accounts for in LTL freight
LTL freight operations combine linehaul between service centers, pickup-and-delivery at customer docks, multi-trailer dispatch, and hook-and-drop relay handoffs. Trailers sit at drop yards waiting for the right P&D dispatch; service-center dock appointments slip when the route plan doesn't account for the trailer mix; driver hours have to be respected across long linehaul lanes. BOSOPT handles multi-trailer dispatch, hook-and-drop relay points, service-center dock scheduling, and driver-hours compliance — calibrated to your operation.
Typical constraints we model in LTL freight operations — your operation may have some or all of these:
- Multi-trailer dispatch
Pup trailers, doubles, and full 53-footers loaded and assigned to the right route — capacity and trailer-type constraints respected in the solve. - Hook-and-drop relay points
Drop-and-hook between linehaul and P&D at relay yards — schedules aligned so trailers leave with the right load, P&D dispatches start with the right freight. - Service-center dock appointments
Receiver dock windows, breakbulk consolidation timing, outbound linehaul departure schedules — coordinated across the network. - Pickup-and-delivery sequencing
Same-route pickups and deliveries with shipment ready times, customer dock hours, and weight constraints handled together. - Driver hours of service
HOS-aware routing — daily work-time limits and mandatory meal breaks built into the plan before dispatch, not flagged after. - Multi-depot / multi-service-center network
Routes from multiple service centers planned together, with cross-network freight assigned to the right origin for the connection.
What changes when you optimize LTL freight
- Linehaul and P&D — separately or together.
Linehaul optimization and P&D optimization are first-class capabilities on their own. When your operation needs them solved as one connected problem, that's supported too. - Multi-trailer load planning.
Pup trailers, doubles, and 53-footers loaded with the right freight — capacity and trailer-type constraints respected. Drop sets and pull sets sequenced for the route. - Hook-and-drop schedules aligned.
Drop yards staged with the right trailers for the right P&D dispatches. Relay handoffs that used to lose hours to mismatched timing now release in sequence. - Service-center dock appointments held.
Receiver windows and breakbulk consolidation timing are constraints in the solve. Late appointments surface before dispatch, not at the receiver dock. - Recorded service times learned and applied.
Historical pickup-and-delivery service times feed back into the next plan — accuracy improves as the system learns your dock realities, not from generic averages. - Driver hours of service respected.
HOS-aware routing — daily work-time limits and meal breaks built into the optimization. Routes that would push a driver past their daily budget get re-planned before dispatch. - Transparent capacity limits.
When freight volume exceeds the day's trailer and driver capacity, the system surfaces unassigned freight with locations and reasons — no silent rolls, no surprise customer calls.
How this looks in practice
LTL freight operations typically see 8–18% miles reduction, 20–35% fewer hook-and-drop misses at relay points, and improved driver hours utilization in pilot evaluations. Linehaul optimization, P&D optimization, and multi-trailer dispatch are first-class capabilities; when linehaul and P&D need to be planned as one connected problem, that's supported too. Every engagement starts with a baseline comparison on your data.
Typical improvement
| Metric | Range |
|---|---|
| Total miles | 10–25% reduction |
| Total route time | 8–15% reduction |
| Late deliveries | 30–50% reduction |
| Vehicle utilization | 5–15% improvement |
Ranges are based on comparisons against operational data from 80+ organizations. Every engagement starts with a baseline comparison on your data.
Common questions from LTL freight teams
We dispatch pup trailers, doubles, and 53-footers depending on the route. Can the optimizer handle that mix?
Yes — multi-trailer dispatch is a first-class part of the model. Trailer type, capacity, and assignment to specific routes are constraints in the solve. The optimizer matches the right trailer to the right freight, including drop sets and pull sets for the route.
We hook and drop trailers at relay yards between linehaul and local P&D. Does the optimizer schedule that?
Yes — hook-and-drop relay points are modeled directly. The drop yard receives the right trailer for the right P&D dispatch, with timing aligned to when the P&D driver arrives. No more trailers sitting because the dispatch schedule didn't match the inbound.
Can you plan linehaul and pickup-and-delivery together?
Yes — middle-mile (service-center to service-center, breakbulk consolidation) and local P&D are planned as one connected problem. The freight leaving outbound linehaul matches what was loaded by inbound P&D. Loads at drop yards match what P&D routes are dispatched for. Two systems become one optimization.
What happens if a driver decides to change their route order, or pick up an extra freight bill mid-day?
The optimizer produces the recommended sequence, but drivers retain operational autonomy. Sequence changes and ad-hoc pickups don't break anything — execution data feeds back into the next plan's optimization, and recurring deviations get investigated as signals the engine should learn from.
Our drivers have service-area preferences and trailer-type comfort. Does the optimizer respect those?
Yes — driver service areas, trailer-type preferences, and shift times are honored in the plan. The optimizer respects them rather than fighting them. Local service-area knowledge and route familiarity stay where they belong.
Continuous calibration
The optimizer plans the day; operations executes it. We capture how the day actually ran — sequences, stops, miles, times — and compare against the plan. When drivers consistently change a sequence or add stops without saving miles or time, there’s usually a real-world constraint the optimizer doesn’t see yet. The engine gets recalibrated to reflect what the data shows. Every change is reviewed and applied by our engineers — calibration with judgment, not autonomous drift. The longer the system runs in your operation, the sharper the plan.
See better routes on your data
Send us 5 to 10 days of your delivery data — stops, time windows, vehicle constraints. We’ll run it through BOSOPT and show you a side-by-side comparison against your current plans — and a realistic monthly savings estimate. No commitment.