Digital Twin & Intralogistics Software Development
A virtual model of your production line or warehouse that answers expensive questions before you spend the money.
Should the new hall have four aisles or five? Will one more press remove the bottleneck or just move it? Can the current forklift fleet handle the seasonal peak? Today these questions get answered by gut feel and vendor brochures. We build a model of your real operation, fed with your real order data, so you can test the change on screen before you test it with concrete and steel.
Is This Your Situation?
Hardware decisions run on gut feel.
A new line, racking system or AGV fleet costs millions, and the business case comes from the equipment vendor's own slides.
Layout changes are tested live.
The only way to try a new material flow is to rearrange the hall and hope. If it fails, production pays for the experiment.
Nobody sees the whole flow.
Stock levels sit in the WMS, orders in the ERP, throughput in a report from last month. There is no live picture of how material actually moves.
Intralogistics lives in heads and spreadsheets.
Shift plans, buffer sizes and routes are set by experience. The experience is real, but it retires with the person.
Peaks hurt every year.
The seasonal wave is known in advance, yet every year it produces the same firefighting, overtime and delayed orders.
What We Build
Warehouse and intralogistics simulation.
A model of your halls, racks, routes and fleet that replays your real order history and shows throughput, congestion and idle time under any scenario you want to test: new layout, different slotting, one more picker, an automated line.
Production line twins.
A model of the line that shows where the bottleneck really is, what a new machine changes, and how shift plans affect output. Built from your production data, validated against the real numbers before anyone trusts it.
Live operations dashboards.
Once the model exists, it can run against live data: a real-time picture of stock, flow and exceptions for the people running the floor. This connects to our work on supply chain and warehouse dashboards and warehouse management software.
Sensor and machine integration.
Where live machine data adds value, we connect it through standard IoT development. Many useful twins start with no sensors at all, running on the order and stock data you already have.
A Model You Can Check, Step by Step
A digital twin sounds abstract. Ours are plain calculation on your real data, and every result can be traced back to its inputs.
We walk the floor first.
Before any model, we map how material actually moves: receiving, putaway, picking, dispatch, the exceptions people handle by habit. The mapped process is the model's foundation.
We build the model on your history.
Real orders, real stock movements, real times. The model has to reproduce a week your team remembers before it earns the right to predict anything.
You test scenarios, cheaply.
New layout, new machine, extra shift, doubled volume. Each run shows the effect on throughput, congestion and cost drivers, with the calculation open to inspection.
Then you decide the investment.
The expensive step comes last, backed by numbers your own people have verified. If the model shows the new hardware will not pay off, that is the answer you needed.
Where Simulation Pays Off, and Where It Doesn't
Worth simulating
- A hardware or layout investment is on the table and the price of being wrong is high.
- Seasonal peaks or planned growth will change volumes beyond what experience covers.
- Several options exist (layouts, fleets, shift plans) and the honest answer is that nobody knows which wins.
- The same firefighting repeats every year and nobody can point to the real bottleneck.
Skip the twin
- The operation is small and one flow dominates; a mapped process and a spreadsheet answer the question.
- The decision is already made and simulation would only decorate it.
- The data to feed a model does not exist yet; start with the dashboards and clean data first.
We tell you which side of this table you are on before any project starts. You pay for answers to real decisions, and you see how every number was calculated.
Why Our Clients Trust Us
Business first.
01The model exists to support an investment decision. We start from the decision, and we build only what that decision needs.
Direct access to engineers.
02The people who build your model are on your calls. Questions get answered by the person who wrote the calculation.
Honest recommendations.
03If a spreadsheet answers your question, we say so. We have told clients to skip technology they were ready to pay for.
Enterprise-proven, SME-sized.
04We have delivered for Nokia Bell Labs, JLL and Saint-Gobain, and we work in the step-by-step way a mid-sized manufacturer needs. For a live 3D model of a production line, see our work for FINIDR, one of the largest book printers in Central Europe.
Common Questions About Digital Twins and Intralogistics
Jakub Bílý
Head of Business Development