Dynamic simulation
Make change decisions with confidence.
Logio builds a 3D, dynamic “digital twin” of your operation to test scenarios before you commit budget or disrupt production.
We identify bottlenecks, verify capacities, size resources, and compare design options for factories, warehouses, and internal logistics—so you choose the optimal path with lower risk and higher ROI.
Your challenges
What’s holding you back right now?
Investments are based on vendor promises, not hard data
Unknown bottlenecks and true throughput limits
Automation ROI is unclear and risky to estimate
Process changes break upstream or downstream flows
Critical scenarios aren’t stress‑tested before go‑live
When it matters
You’ll benefit when you are…
Designing a new line or warehouse
Preparing an automation feasibility study
lanning peak season or product expansions
Consolidating sites or relocating capacity
Re‑balancing labor, shifts, and equipment
Validating WMS/controls changes at scale
Stress‑testing critical “what‑ifs” and failure modes
Designing internal material flows and layouts
Outcomes
What we deliver
Bottleneck visibility
Find and remove true constraints across production and intralogistics.
Right‑sized design
Compare variants, choose the optimal layout, tech level, and staffing.
De‑risked investments
Validate capacity, SLAs, and safety stocks before you spend CAPEX.
Faster implementation
Use a verified model to align vendors, IT, and construction.
Scenario confidence
Test peak seasons, disruptions, and growth paths in a digital twin.
Clear business case
Quantified impacts and a route‑map you can execute.
What makes us different
Logio experts at your service
Vendor‑independent, objective design and evaluation.
Hybrid team: consultants, system architects, data scientists.
Feasibility to go‑live: we design, verify, and manage delivery.
Data‑driven approach combining math, simulation, and operations know‑how.
Proven in manufacturing, warehousing, and distribution across 1,000+ projects.
Data and AI‑first company
Logio uses AI where it adds real value, combining it with mathematics, data, and real‑world expertise. That means faster, more accurate decisions and fewer blind spots when you are sizing capacities, sequencing flows, or testing variant designs. AI is a tool, not a buzzword.
Our proprietary software platform, Veritico, is built on 20 years of development, trusted by 80+ customers, and listed in Microsoft Azure Marketplace. It uses machine learning for demand forecasting, price and promo decisions, and intelligent ordering—capabilities that provide high‑quality inputs to your simulation experiments and transformation roadmap.
How Veritico supports this solution
Veritico delivers accurate forecasts, inventory targets, and replenishment plans that feed simulation scenarios with realistic demand and policy settings, so your digital twin reflects how the business will actually run. This shortens iterations and improves decision quality.
Case studies
We tackled many supply chain challenges
SOP logistics concept for Megatech, Pilsen
End‑to‑end internal logistics concept, validated in a “digital sandbox”, set the plant up for a smooth SOP with sufficient capacity and resources.
Dynamic simulation and AGV concept for a new production hall
We built a digital model of the future operation, compared layout and technology variants, and validated the winning AGV or AMR concept to reduce implementation risk and prepare for scalable growth.
Production ramp‑up and dynamic simulation for Continental
Dynamic simulation accelerated Continental’s production ramp‑up in the Czech Republic. The optimal setup met the plan, reduced fixed and operating costs, and stabilized day‑to‑day operations.
Prove the best path before you build
Model your factory or warehouse, compare variants, and launch with confidence.