A live 3D digital twin tracks pallets, AGVs, forklifts, and work-in-progress across the factory floor, exposing bottlenecks, waiting times, and inefficient material routes.
Smart Factory Logistics Control collects location, movement, and asset-status signals across factories and production lines and sends the readings to a secure cloud application. Dashboards and configurable rules show current location, movement history, and status, retaining history by site, zone, or asset. This gives operations, maintenance, and reliability teams the context to recover, dispatch, or rebalance assets, helping them reduce search time and improve asset use and document the response.
Smart Factory Logistics Control is a asset tracking solution by Twinzo, delivered as Public SaaS, serving Industrial & Manufacturing.
IoT sensors and location tags are deployed on pallets, containers, vehicles and key production assets to track movement and status in real time. This data is streamed to the Twinzo cloud platform, where it is visualized in a live 3D digital twin of the factory. The system analyzes flow patterns, cycle times and resource utilization, highlighting congestion, idle zones and deviations from plan. Users can run what if simulations, test new layouts or routing rules and immediately see the impact. Dashboards and alerts support continuous monitoring and improvement of internal logistics performance.
Vendor documentation: vendor website
Evidence level: L1 · Vendor-stated: how evidence levels work
Real-Time Visibility: Live view of material flow and asset movement across the entire plant
Bottleneck Detection: Identifies congestion and delays that reduce production throughput
Process Optimization: Simulate changes on the digital twin before applying data-driven layout and routing improvements on the shop floor
Higher Productivity & Safety: Reduces waiting times, improves logistics efficiency, and increases traffic awareness for vehicles and workers
Real-time 3D view of factory layout and moving assets for intuitive monitoring and analysis
Tracks pallets, vehicles, and work in progress with high accuracy inside production halls
Analyzes routes, cycle times, and congestion, automatically highlighting areas causing queues and reduced throughput
Tests layout, routing, and capacity changes virtually before physical implementation
Visibility of vehicle utilization, paths, and interactions on the shop floor
Configurable views for logistics, production, and management, scaling from single lines to multi-building sites
Ask the AI Solution Architect: compare this solution against alternatives, check connectivity for your region, and get integration guidance. Included with IoT Apps Enterprise.
Fit, availability or a detail on this page. Goes straight to Twinzo, no RFP needed.
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