Textbook labels rarely match the live floor
Digital twin is a broad umbrella term. Architects treat it as a detailed BIM model created before a building exists. Process-simulation teams mean a virtual physics engine that tests layouts and equipment before purchase. Scanning specialists call a high-precision point cloud a digital twin for passportization. Cloud vendors and photorealistic visualization pitches claim the same label. Plants need something narrower: a live view of what is happening right now with the assets already moving.
Operational twins stick to current positions and existing systems
Twinzo is built as a connected operational digital twin. It ingests data from RTLS, MES, ERP, WMS and SCADA, then overlays those streams on a 3D model so forklifts, people and materials appear in spatial context. Replay, spaghetti diagrams and shift analytics sit on top of that layer. The platform does not replace ERP, MES or WMS and does not calculate OEE; an external engine remains the system of record while Twinzo supplies visualization and spatial context only.
Accuracy and deployment stay inside practical limits
RTLS accuracy depends on the chosen technology. UWB can offer sub-meter performance under 30 cm; BLE typically stays in the 1-3 meter band. Deployment usually runs one to three months. On-premises installs are available for sites with strict security or latency needs, running Ubuntu 24.04 LTS plus Docker. Historical location data can be replayed up to one year back for heat maps and route analysis. None of this requires a physics-based replica or behaviour simulation of the assets.
Logistics numbers come from live positioning, not ideal models
In one 30 000 sqm automotive Tier-2 plant the RTLS module lifted forklift productivity from 63 % to 75 %, cut the fleet from 15 to 13 units and saved four FTEs after an €81 000 investment, returning €179 000 lower OPEX in year one. A second plant of the same size reduced the fleet from 36 to 20 forklifts and drivers from 108 to 60 after investing €120 000, saving €960 000 in first-year OPEX. Both results rest on live 3D positions and data-driven routing rather than simulated what-if scenarios.
Closed-loop visions stay ahead of what ships today
Presentations describe a closed loop in which a simulation twin sets an optimal target and the operational twin flags live discrepancies. Advanced AI correlation, causality analytics and predictive models appear as the direction of travel. Current product truth keeps discrete-event simulation inside a separate Visual Components engine and treats those AI features as roadmap items. Plants therefore begin with the operational layer that already works: live positions, push-to-pull dispatch workflows and spatial overlays of data the site already owns.