What Is a “Digital Twin” and How It Saves Money

A digital twin is a virtual replica of a physical object, system, or process that is continuously updated in real time based on sensor data. It’s more than just a 3D model — it’s a tool for decision-making, prediction, and optimization.

How does it work?

Physical equipment is fitted with sensors that transmit data like temperature, load, vibration, or component wear. This information is mirrored in a digital environment, where different scenarios can be simulated and analyzed.

Where is it used?

• Manufacturing — for maintenance planning and failure diagnostics.
• Logistics — for monitoring vehicles and warehouses.
• Construction — for managing engineering systems.
• Urban infrastructure — for smart city applications.

Cost savings in numbers

According to McKinsey, digital twins can reduce maintenance costs by up to 25%, lower downtime by 20–30%, and accelerate decision-making.

How AZIOT enables digital twins

AZIOT's platform allows you to build digital twins based on real-time data from field devices. You get not just visualization, but analytics tools: parameter history, automatic anomaly detection, behavior simulations — all without complex integration.