What is Load Planning and Load Optimization? Definition, Key Metrics & How It Works
Load planning optimizes truck fill rates from 70% to 85%+. Weight-volume balancing for steel, cement, and chemical shipments.
Definition
Load planning (or load optimization) is the process of determining how to fill vehicles most efficiently for freight transport. It involves matching pending orders to available vehicle capacity, considering weight limits, volume constraints, delivery windows, route compatibility, and regulatory requirements. Effective load planning maximizes truck utilization while meeting delivery commitments.
Why It Matters for Manufacturing
Average truck utilization in Indian manufacturing logistics: 65-75%. That means every truck leaving your plant carries 25-35% less than it could. The economics are simple. A truck at 85% fill costs the same to operate as one at 70%, but carries 20% more freight.
For steel manufacturers, load planning involves optimizing heavy, irregularly shaped loads (coils, bars, pipes) within weight limits. For cement, it’s about consolidating orders to nearby dealers onto single trucks. For chemicals, it’s compliance-constrained - certain products can’t share a truck.
At 200 trucks/day, improving fill from 70% to 85% can save Rs 4-8 Cr annually on a Rs 100 Cr freight spend.
How It Works in Practice
Manual load planning: Dispatcher assigns one order to one truck based on vehicle type and destination. No consolidation. No weight-volume optimization. First-come-first-served allocation.
AI-led load planning: Agent evaluates ALL pending orders simultaneously. Groups orders by route proximity, weight compatibility, and delivery window. Calculates optimal vehicle assignments considering weight limits (legal axle load), volume capacity, delivery sequence, and route efficiency. Plans are ready in minutes, not hours.
Key Metrics
- Average truck fill rate: 65-75% (manual) vs 85-90% (optimized)
- Per-unit freight cost reduction from optimization: 15-20%
- Orders consolidated per trip: 1.0 (manual) vs 1.5-2.5 (optimized)
- Daily load planning time: 2-3 hours (manual) vs 15-20 minutes (AI-assisted)