Blueprint
Automated Warehouse Logistics
Streamlines storage and fulfilment through automation.
Automated Warehouse Logistics Description
LogisticsIoT
Last updated: 2026-02-04
An end-to-end accelerator for automated warehouse operations — combining computer vision, IoT telemetry and RPA to streamline put-away, picking and dispatch.
Blueprint Category
Logistics
Complexity
Medium
Scene Preview
Use Cases
Goods-in inspection
Slotting optimisation
Pick path planning
Dispatch consolidation
Key Capabilities
Vision-guided picking
Identify SKUs and verify quantities on the line.
Slotting analytics
Rebalance bins for velocity and ergonomics.
Live yard view
Track inbound and outbound dock activity.
RPA workflows
Automate WMS / ERP back-office tasks.
Technical Requirements
Hardware Requirements
- Edge GPU node ×2
- IoT gateway ×4
- Barcode scanners
Software Dependencies
- Kafka 3.7
- Postgres 16
- OpenCV
- FastAPI
AI Models used in Automated Warehouse Logistics
SKU Recogniser
Identifies SKUs from carton imagery.
Vision
Damage Detector
Flags damaged packaging on the conveyor.
Vision
Connected Assets
Conveyor Cameras
Camera
Bin Sensors
Sensor
