CONSUMER GOODS & PACKAGING//
Verify Every Shipment Without Slowing the Line.
Mineral City AI verifies the contents of sealed consumer goods packaging at scale, reducing packing errors, substitutions, and disputes while preserving line speed and fulfillment efficiency.
Client Snapshot
Global consumer goods manufacturer distributing high-volume, high-velocity packaged products across multiple regions and third-party logistics providers.
Challenge
Packaging errors, product substitution, and incomplete cases were driving downstream disputes, chargebacks, and customer complaints. Surface-level checks—barcodes, weight, and visual inspection—could not verify what was actually inside sealed cases at scale.
The client needed a non-destructive verification layer to confirm case-level integrity without slowing fulfillment or reworking packaging lines.
Mineral City AI Solution
Mineral City AI deployed XR Vision to inspect sealed cases using radiographic imaging and AI analysis. Models learned expected internal configurations—unit counts, pack orientation, inserts, and density patterns—then flagged deviations in real time.
- Case-level verification without opening or rehandling
- Detection of missing units, substitutions, and packing errors
- Compatible with mixed-SKU fulfillment environments
- Image-backed verification linked to shipment and order data
Implementation
Deployment began at outbound QA checkpoints, then expanded to inbound verification at regional distribution centers. Reference libraries were built per SKU family and packaging format.
Outcomes
- Significant reduction in customer claims tied to incorrect or incomplete shipments
- Faster dispute resolution with image-based proof of contents at ship time
- Improved pack accuracy without added labor or line slowdowns
- Stronger accountability across manufacturing and 3PL handoffs
Why it matters
(for investors & partners)
- Protects margin by preventing avoidable downstream costs
- Scales across high-volume, mixed-SKU operations
- Adds verification without disrupting packaging throughput