Bottleneck clarity
Measured queues, utilisations and takt times rather than competing opinions.
Test the change before you commit to it. We build digital twins that visualise flows, quantify bottlenecks and let you compare scenarios without risking the live operation.
Use it to size buffers, plan shifts, choose technology and demonstrate that your timeline and KPIs are actually achievable.
Measured queues, utilisations and takt times rather than competing opinions.
Failure and recovery scenarios tested in the model instead of discovered on the floor.
Far fewer surprises during commissioning and ramp-up.
A visual model that aligns operations, finance and IT around one version of what will happen.
Decide with a model rather than a guess — while changing your mind is still free.
Talk to an expert →We prepare, clean and validate the demand data, process times and constraints that feed the model, so what it predicts reflects your operation rather than an idealised version of it.
Where demand and stock behaviour drive the outcome, VERITICO supplies scenario inputs, making the test materially more realistic than a static volume assumption.
Secured the on-time launch of a new automotive interior line — crisis management, material flow and dynamic simulation.
On-time launch · Validated logistics concept Show full case study →
Up to 1,330 m² of production and warehouse space freed up. 10–20% reduction in internal handling routes.
1,330 m² freed · −10–20% handling routes Show full case study →
Feasibility study validated AutoStore for the CEE DC and quantified a capacity uplift up to 300%.
+300% capacity uplift quantified Show full case study →
Efficient distribution strategy for donating ready meals from canteens — reusable scenario model for food donation guidance.
Hundreds of thousands of CZK saved monthly Show full case study →
Production and logistics analysis across one of Volkswagen Group's strategic plants.
Production · Logistics Show full case study →Describe the change you are considering. We will tell you whether simulation would de-risk it meaningfully — and we will say so if it would not.