Supply chains have too many moving parts to watch by hand. Warehouses, trucks, routes, inventory. When something slips in one place, it spreads quietly through the rest. Equipment fails without warning. Bottlenecks build slowly. By the time a report flags it, the damage is done.
When your supply chain runs on live data instead of yesterday's report, results show up fast. Here is what most clients see.
Not every signal matters. The twin watches the ones that actually move delivery times, inventory health, fleet uptime, and operating cost. That focus is what makes prediction reliable.
InfraTwin AI uses autonomous drones to continuously monitor warehouses, yards, and supply chain sites. Drone footage and thermal data feed directly into the digital twin, surfacing inefficiencies and risks across the network before they cost you.
Drones fly your outdoor yards and distribution centers to count and locate every container, trailer, and vehicle on site. What used to take a team a full day can be done in a single flight, with the count fed straight into the twin.
Thermal cameras on the drone detect heat anomalies in refrigeration units, cold storage walls, and warehouse rooftops, surfacing insulation gaps and cooling failures before they spoil inventory or spike energy bills.
Accurate 3D models built from drone flights inform yard layout, warehouse expansion, and reorganization of busy zones, helping operators design for flow rather than guesswork.
The twin follows a clear, systematic process. We build the ideal flow model, capture the right data, reconstruct your network in 3D, run predictive AI on top, and give your team an XR workspace for real-time supply chain decisions.
Flow Performance Blueprint
We define how your supply chain should flow at its absolute best. Using network optimization, throughput modeling, and demand forecasting, we build a mathematical profile representing peak logistics performance.
AI-Driven Data Point Discovery
Supply chains produce massive amounts of tracking data. We use AI to isolate the specific variables—like localized weather, port congestion, or specific warehouse bottlenecks—that actually impact delivery times.
IoT & Telematics Integration
We integrate real-time data from warehouse management systems (WMS), vehicle telematics, RFID tags, and environmental sensors to create a continuous, live feed of your operations.
3D Network Reconstruction
We construct a spatial digital twin of your warehouses and global transit routes. Managers can visually inspect facility layouts, track moving assets, and identify congestion zones in real time.
Predictive Flow Modeling
By comparing real-time movement against the ideal flow blueprint, predictive AI anticipates delays, re-routes shipments dynamically, and optimizes warehouse staffing for incoming demand surges.
XR-Based Control Tower
Logistics planners and warehouse managers use a shared XR environment as a unified control tower to visualize the network, simulate layout changes, and coordinate crisis response across regions.
Interact with a live 3D representation of an interconnected distribution network. Monitor active fleet routes, warehouse capacities, and AI-predicted bottlenecks in real time.
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See how the logistics twin drives performance.
DHL implemented an IoT-driven digital twin for a Tetra Pak warehouse in Singapore. The system acts as a real-time control tower, monitoring physical conditions and simulating stock movement to optimize storage density and dispatch.
Faced with a 5,000+ SKU facility and highly variable demand in Louveira, Brazil, DHL built a "Crystal Ball" digital twin using Simul8 to forecast exact labor requirements for order picking, moving away from static Excel modeling.
Europe's largest seaport created an IoT-based digital twin of its entire infrastructure. By ingesting real-time hydro/meteo data, ship movements, and mooring sensor data, the twin optimizes the complex flow of maritime traffic.
Get in touch to learn how InfraTwin AI can help you achieve supply chain excellence and delivery success.
Email Us
hello@infratwin.ai