Fit more.
Waste less.
Free packing, pallet, container and cutting optimizers built around deterministic math — not a generic calculator collection.
Start with the problem you need to solve.
PackMize launches with four focused optimization engines. Related calculators will be derived from the same tested math later.
Pallet Calculator
Find boxes per layer, layers, weight limits and the best tested pallet pattern.
Open calculator →Container Loading Calculator
Fit a single SKU geometrically into standard or custom containers, with payload limits.
Open calculator →Sheet Cutting Optimizer
Arrange rectangular pieces across sheets with rotation, kerf and edge trim.
Open optimizer →Linear Cutting Optimizer
Optimize bars, pipes, profiles and stock lengths while accounting for kerf.
Open optimizer →Input → optimize → inspect.
The core calculations are reproducible. PackMize tests valid layouts and reports the best result found under your constraints.
Enter dimensions
Choose a standard pallet or container, or enter custom material and product dimensions.
Run the engine
Deterministic heuristics test orientations, layouts, capacity and material constraints.
See the layout
Review fitted units, utilization, waste, limiting constraints and a visual plan.
Geometry, not just volume division.
A 33 m³ container does not automatically fit 33 m³ of cartons. Real rectangular geometry and allowed orientations matter.
Turn a cut list into a plan.
PackMize tests multiple ordering and placement heuristics to reduce the number of sheets or stock lengths used.
Professional workflows without limiting the free core.
Saved projects, mixed SKUs, CSV/Excel import, PDF exports, custom equipment, advanced optimization and future API access.
What PackMize is — and is not
PackMize is a mathematical planning tool for rectangular packing and cutting problems. It does not replace load engineering, carrier rules, machine-specific cutting instructions, packaging stability checks or professional safety review.
The V1 deliberately avoids AI in the calculation path. The same validated inputs produce the same optimization result, which makes the tools reproducible, auditable and suitable for long-term use.