Turn a hard problem into a first build.

Small, tangible prototypes that help test an idea before committing to a larger project.

One late dock.
A hundred moving parts.

A distributor needs to clear its order wave before the 45-minute shipping cutoff. Close an aisle, delay a dock, then rebalance the team—and see the consequences across the floor.

Interactive company scenario · synthetic orders
A transparent scheduling model, not a client result.

01 Inventory racks02 Picking aisles03 Packing04 Dispatch docks

Loading the 3D floor… Automatic motion is off.

Calculating the first order wave…

What the model assumes

All orders are available at minute zero; each visits one synthetic shelf location. Shortest grid paths use 1.5 m cells at 38 m/min, plus 1.1 minutes to pick. Packing takes 0.8–1.16 minutes per order; dispatch adds 0.4 minutes transfer and 0.65 minutes dock service. Workers are pooled within picking and packing. Walking distance is one-way; return walks, congestion, stockouts, shift breaks, SKU complexity, and vehicle loading capacity are excluded. Rebalancing searches worker splits; it does not solve a full warehouse optimization problem. Moving parcels illustrate routes, not a real-time event replay.

Explore the complete case ↗

Define the constraint, test the uncertain part, and refine what works.

Name the uncertainty

Choose the question a prototype should answer: whether a workflow is useful, an interface is understandable, or a model handles the important inputs.

Build the smallest useful test

Use representative inputs and a real interaction. Make assumptions visible and keep the scope narrow enough to learn from the result.

Decide what earns the next build

Compare the outcome against the original goal. Document limitations, identify what needs hardening, and choose the next step from evidence.