The algorithms that make every inch count
Three specialized mathematical engines — 3D bin-packing, simultaneous routing, and mixed palletization — turn your operation's real-world constraints into executable load plans.
Real optimization, not rules of thumb
Cargo planning is a combinatorial problem: millions of possible arrangements, dozens of physical and commercial constraints. JettaCargo explores that solution space in seconds, without relying on the intuition of an experienced operator — and with auditable results.
ENGINE 01 — 3D Bin-Packing
The ideal arrangement of every item inside the vehicle.
Positions each item in three dimensions considering geometry, weight, and stacking rules, testing thousands of combinations to maximize occupancy without violating a single constraint.
What it solves
- Vehicles traveling with idle space nobody can see
- Loads assembled by trial and error at the dock
- Damage from incorrect stacking or instability
Constraints considered
- Total and per-axle vehicle weight limits
- Stacking strength and fragility of each item
- Allowed orientations (this side up, no tipping)
- Product compatibility (chemicals, food, temperature)
- Center of gravity and load stability
ENGINE 02 — Simultaneous Routing
Route and load optimized together, not in separate steps.
Calculates the stop sequence at the same time it builds the load, ensuring last-in is first-out — eliminating the classic conflict between a good route and a good load.
What it solves
- Unloading half a truck to reach the current delivery
- Routes that look good on the map but don't work with the actual load
- Extra kilometers and stops from poor consolidation
Constraints considered
- Delivery sequence and unloading order (LIFO)
- Service windows per customer or region
- Vehicle capacity along the route
- Traffic restrictions and road profile
- Grouping by region and order compatibility
ENGINE 03 — Mixed Palletization
Stable multi-SKU pallets, ready for picking.
Builds pallets with different products by calculating stability layer by layer, respecting each customer's specific rules and the warehouse picking sequence.
What it solves
- Unstable pallets that arrive damaged at the destination
- Re-palletization rework at the customer's receiving dock
- Low occupancy on pallets for fractional orders
Constraints considered
- Compression strength of each layer
- Palletization rules required per customer
- Picking sequence and grouping by order
- Maximum height and overweight per pallet
- Alignment and interlocking between layers
Built for industrial scale
The same engines serve operations with dozens or thousands of loads per day.
Answers in seconds
Complete scenarios with hundreds of items and constraints solved in seconds, not hours of spreadsheets.
350+ parameters
Each operation configures its own stacking, compatibility, weight, and sequencing rules — no code required.
Multi-objective
Cost, occupancy, mileage, and axle-weight compliance optimized together, with adjustable weights.
Auditable results
Every algorithm decision is traceable: why this item here, why this route, why this vehicle.