Show HN: GPT Packer conversational container packing with 3D load plans(gptpacker.com)
gptpacker.com
Show HN: GPT Packer conversational container packing with 3D load plans
https://gptpacker.com/
4 comments
Create a highly realistic 3D isometric cutaway view of a 40-ft High Cube shipping container used for industrial crane component transportation.
The container doors are open, showing the interior loading arrangement clearly.
Loading details: • At the front (nose) of the container, place two heavy non-stackable industrial components on wooden skids: – One component sized 3300 × 1700 × 700 mm, 1800 kg – One component sized 1900 × 1700 × 800 mm, 1500 kg These items are on the floor only, with nothing stacked on top.
• In the center of the container, place large square wooden crates (1600 × 1600 × 700 mm) arranged in a grid, stacked 3 layers high, showing clear vertical stacking.
• Along both side walls, place long narrow steel components aligned lengthwise: – Items sized 5600 × 400 mm – Items sized 3300 × 300 mm and 3100 × 300 mm These are floor-mounted and neatly secured.
• Near the door end and upper layers, place smaller boxed items (1900 × 200 × 300 mm) stacked 2 layers high on pallets.
Visual style: • Professional industrial logistics visualization • Clean wooden floor, steel container walls • Neutral lighting, realistic shadows • Clear spacing between items • No people • No clutter • Engineering-accurate proportions
Optional text labels: Add subtle labels showing item dimensions and weights for clarity.
Render quality: high-resolution, sharp, realistic, technical illustration suitable for operations planning and dispatch reference.
The container doors are open, showing the interior loading arrangement clearly.
Loading details: • At the front (nose) of the container, place two heavy non-stackable industrial components on wooden skids: – One component sized 3300 × 1700 × 700 mm, 1800 kg – One component sized 1900 × 1700 × 800 mm, 1500 kg These items are on the floor only, with nothing stacked on top.
• In the center of the container, place large square wooden crates (1600 × 1600 × 700 mm) arranged in a grid, stacked 3 layers high, showing clear vertical stacking.
• Along both side walls, place long narrow steel components aligned lengthwise: – Items sized 5600 × 400 mm – Items sized 3300 × 300 mm and 3100 × 300 mm These are floor-mounted and neatly secured.
• Near the door end and upper layers, place smaller boxed items (1900 × 200 × 300 mm) stacked 2 layers high on pallets.
Visual style: • Professional industrial logistics visualization • Clean wooden floor, steel container walls • Neutral lighting, realistic shadows • Clear spacing between items • No people • No clutter • Engineering-accurate proportions
Optional text labels: Add subtle labels showing item dimensions and weights for clarity.
Render quality: high-resolution, sharp, realistic, technical illustration suitable for operations planning and dispatch reference.
30 Zylinder, durchmesser 1,25m, Höhe 1m und 50 Zylinder durchmesser 1,25m Höhe 0,8 m, zylinder können gestaplet werden und können evrsetzt geladen werden sie sollen auf so wenig wie möglich 40'HC bestmöglich verteilt werden
30 cylinders, diameter 1.25 m, height 1 m, and 50 cylinders, diameter 1.25 m, height 0.8 m. The cylinders can be stacked and loaded side by side. They should be distributed as evenly as possible across as few 40' HC containers as possible.
30 cylinders, diameter 1.25 m, height 1 m, and 50 cylinders, diameter 1.25 m, height 0.8 m. The cylinders can be stacked and loaded side by side. They should be distributed as evenly as possible across as few 40' HC containers as possible.
In real logistics scenarios, users often start with incomplete information (for example, pallet footprint is known but height isn’t). Most tools either fail or force full data entry before producing anything.
This tool detects missing variables, suggests common industry defaults when appropriate, and then generates a full 3D load plan with utilization feedback.
It’s designed for incremental, constraint-driven packing rather than one-shot “perfect input” optimization.