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Logistics Automation

Shipping Half-Empty Trucks? Optimizing Load Planning and Connecting It to TMS and WMS

Low truck load factors usually come from experience-based dispatching and weight-only calculations, not from a lack of volume. This post covers load planning constraints, calculation methods, the WMS-to-TMS data flow, and how to verify the savings.

POLYGLOTSOFT Tech Team2026-10-117 min read5
Load PlanningLoad OptimizationVehicle DispatchTMSWMS

Why Load Factors Are Really Low

Trucks leave half empty less often because of low volume than because of how the load was planned. A dispatcher judges from experience that "this looks like one 11-ton truck," orders get added or cancelled just before shipping, and an extra vehicle is called in as a buffer. Those accumulated safety margins are the empty space.

The second cause is planning by weight alone. An 11-ton wing-body truck holds roughly 16 to 18 T-11 pallets (1,100 × 1,100 mm) on the floor. Load 18 pallets of light goods at 300 kg each and the weight is 5.4 tons, which looks like a 49% load factor even though the floor is already full. Heavy goods at 1 ton per pallet hit the weight limit at 11 pallets, leaving about 40% of the floor unused. Unless weight and volume are read together, the load factor itself does not describe reality.

The Constraints Behind a Load Plan

Load planning is not about how much fits. It is about how much fits while every condition is respected.

Physical constraints of vehicle and cargo

  • Vehicle dimensions: internal length, width and height of the cargo area, plus maximum payload
  • Axle load: even when gross weight is within limits, heavy cargo concentrated at one end can exceed the per-axle limit (10 tons per axle on Korean roads)
  • Stackability: which items can be double-stacked, how much weight the bottom unit tolerates, and which items must stay upright
  • Operational constraints

  • Delivery sequence: on multi-stop routes the last drop must be loaded deepest, following last-in, first-out. Ignore it and the crew unloads and reloads cargo at every stop
  • Temperature zones: frozen, chilled and ambient goods cannot share a compartment
  • Co-loading bans: combinations such as food with chemicals, or items that absorb odors
  • Calculation Methods: From Rules to Optimization

    The simplest method is volume conversion. Divide total order volume by the vehicle's cubic capacity and assume only 80 to 85% is usable because of gaps. The answer is instant, but it ignores real dimensions and stacking rules, so cargo that fits on paper is sometimes left on the dock.

    3D load simulation places each box and pallet individually, taking into account actual dimensions, allowed rotations, stacking rules and unloading order. It also produces a loading diagram as a direct output.

    The engine should match the situation.

  • Heuristics: rule-based approaches such as placing the largest items first return a usable answer in seconds, which suits recalculation just before the shipping cutoff
  • Optimization solvers: they also decide how orders are split across vehicles and find better answers, but with several hundred orders they can take minutes to tens of minutes. They suit overnight planning after the daily cutoff
  • In practice, most teams set a time limit on the solver and use the best answer found within it.

    Connecting the Systems

    Load planning sits between the WMS and the TMS.

  • WMS: sends confirmed outbound orders with items, quantities, and dimensions and weight per packaging unit
  • Load planning: assigns orders to vehicles and calculates positions
  • TMS: dispatches the confirmed number and class of vehicles and finalizes routes
  • WMS: reorders picking and staging in reverse of the loading sequence
  • The most common blocker is master data. If item dimensions and weights are missing, or registered only per single unit, no algorithm can help.

    Instructions for the dock should stay simple. The loading sheet lists sequence, pallet ID and position, while the loading diagram is shown step by step on a tablet or handheld at the dock. If scanning a pallet label displays its position, the gap between experienced and new workers narrows.

    Measuring the Effect

  • Load factor per vehicle: measured separately by weight and by volume
  • Number of trips: for the same volume, raising the average load factor from 60% to 75% cuts 20 trucks a day to 16, a 20% reduction
  • Loading time: time from truck arrival to departure, and the number of reloads
  • Freight savings are hard to prove with a simple before-and-after comparison, because volume and delivery regions shift every month. A safer approach is to plan the same historical orders with both the old and the new method and compare the vehicles required, then track freight cost per box or per ton-kilometer once the system is live.

    How POLYGLOTSOFT Helps

    Load planning is not a feature that is finished in one release. Dimension data has to be cleaned up, the logic moves from volume conversion to 3D simulation and solvers, and constraints are refined with feedback from the dock. POLYGLOTSOFT builds the load planning module between your WMS and TMS through subscription-based development and improves it every month. You can start with integration rather than replacing existing systems, so if load factor is a concern, contact us for an assessment based on your current shipping data.

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