Logibot.Simulate

Validate automation performance before you commit

Before buying a single robot, run your warehouse in a physics-accurate digital twin, online, without touching your live operations. Logibot.Simulate tests how robots perform in your actual space, across your actual tasks, and tells you what the payback period looks like, by hardware and by workflow.

Discuss your use case
How simulation fits into the Logibot platform

Why simulation matters

Most automation projects hit their first real obstacle after the hardware arrives. Throughput targets miss because narrow aisles slow robots down. ROI weakens because peak-hour congestion was never modeled. A one-week pilot passes, then production shift three fails.

Logibot.Simulate runs those scenarios before you sign anything.

What Logibot.Simulate delivers

A 30-day online engagement, run entirely before any hardware decision or capital commitment. We build a digital twin of your facility, deploy virtual robots against your actual task load, and deliver four concrete outputs: a side-by-side comparison of robot platforms, a cost-per-task model with CAPEX amortization curve, a throughput analysis by shift, and a traffic-light verdict for each workflow: Green = deploy, Yellow = adapt, Red = not viable.

You know what to buy, and why, before procurement opens.

How Logibot.Simulate works

Start from operational data

Simulation begins with your actual task models, not a generic warehouse:

  • Your volumes, peaks, and shift patterns
  • Your floor layout and picking routes
  • Your operational constraints and KPIs

Model task execution

Each task runs with full physics constraints:

  • Travel time and aisle congestion
  • Grasp success rates and retries
  • Robot-human interactions in shared zones

Compare scenarios

Two or three hardware candidates are tested against your constraints:

  • Cycle time and throughput per shift
  • Charging infrastructure requirements
  • Safety margins in shared zones

Next steps

Discuss your intralogistics challenge
See how Logibot.Train builds on simulation →