The sector's friction
In logistics, much of the operational delay doesn't come from transport itself, but from the processes around it: counting parcels, verifying an order shipped complete, classifying mislabeled goods. These are low-judgment, high-volume tasks — exactly the profile that benefits most from AI automation.
How we apply our technology
We use computer vision for counting and visual verification in the warehouse (parcels, pallets, packaging condition), and AI process automation to classify shipping documentation, detect incidents and generate reporting without constant manual work.
Expected result
Automated counting and verification processes typically reduce operational time and picking errors — the exact magnitude depends on your warehouse's volume and layout, and is estimated during assessment. We don't yet have a logistics case documented with our own data; our closest verified case in technique (computer vision applied to counting and image classification) is Spray Analyzer.
Related services
AI Process Automation · Computer Vision · Backend Development