Robotlar

Cargo Package Drop/Crush Damage Analysis.

Return costs, brand reputation loss, and customer satisfaction decline from damaged packages reaching customers.

SCENARIO: LOG-10
Logistics & Supply Chain

Operational
Mechanism.

Technical details of field integration, data flow, and autonomous decision algorithms.

Edge Hardware

HD RGB Camera
3D Depth Camera
NVIDIA Jetson Orin NX
Barcode/QR Reader

Artificial Intelligence

Navigation (SLAM)

Dynamic SLAM navigation at conveyor belt exit and sortation area

Perception & Analysis

Package Surface Deformation and Crush Classification (ResNet + 3D Mesh Comparison)

Autonomous Workflow

The robot patrols autonomously at conveyor belt exit and sortation area; instantly detects packages that fall off the belt or are incorrectly transferred.

Classifies crushing, tearing, and deformation on package surfaces with HD camera; identifies product with barcode reader.

Damaged packages automatically directed to quarantine zone; customer order updated with 'damage' status in OMS.

Damage pattern and location analysis identifies recurring breakage points; operations improvement report generated.

Operational ROI.
Strategic Decision.

EXPECTED BALANCE IMPACT

Annual $42,000 return and brand reputation savings. ROI: 2.1x

Reduces customer return rate by 68%; eliminates average 3-day return-exchange process.

Example modelling — not realised customer data. Calculated assuming roughly $20,000 total investment (robot, integration and commissioning); actual results vary by facility, shift count and configuration. Request a quote for a calculation specific to your organisation.

Review Your Custom
Autonomous Operation
Plan On-Site.

Our engineers are ready to present this robotic integration plan, specially simulated for your facility, to your team. Let's confidently launch your business's digital transformation.