LOGISTICS
Warehouse Vision Inspection
Computer-vision quality checks replacing manual inspection on the packing line.
Analytics Dashboard
Real-time Metrics+70% Recall
99.2%
Defect catch rate
0.2s
Inspection speed
ClientPack & Ship Logistics
Timeline12 Weeks
Team Size3 Engineers
CapabilityLOGISTICS
The Challenge
Manual Packers missing critical packaging defects, causing returns.
The Approach
1
Camera setup
Installed packers line video captures.
2
Model training
Trained custom YOLOV8 defect identifier.
Outcomes & Impact
Defect catch rate increased to 99.2% on active packing lines.
Key Lessons Learned
✓
Vector search alone is insufficient for structured freight and customs queries; hybrid search with RRF is mandatory.
✓
Document chunking must align with layout structures (headers and tables) rather than fixed character offsets.
✓
Reranking is the highest leverage, lowest cost way to improve recall in large document sets.
"The custom search engine built by Botmartz changed how our operations team works. They recover hours every day and container routing errors have dropped to near zero."
MV
Markus Vance
VP of Operations, Global Logistics Leader
Core Technologies
PyTorchOpenCVFastAPIReact
Development Team
KG
Karan Goel
AI Engineer
PB
Promit Basu
AI/ML Engineer
SS
Sanjay Singh
Lead Architect
Related Cases
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