Competitors emphasize cameras, sensors and speed. Sizelabs turns every scan into a complete operational record: dimensions, weight, photos, labels, OCR fields, exceptions and WMS/TMS handoff.
Parcel, pallet, crate and irregular freight measurements tied to the shipment record instead of a separate spreadsheet.
Images, labels, timestamps and station context support carrier billing, claims, audits and customer disputes.
BOLs, packing lists, SKUs, references, hazmat cues and exceptions can be extracted alongside the measurement event.
Captured data maps into WMS, TMS, ERP, shipping, billing, API or webhook workflows without retyping.
Use the buying motion competitors create, then ask whether the system only measures cargo or actually completes receiving data.
AI and machine-vision dimensioning
Add receiving OCR, evidence packaging and WMS entity sync to the scan.
Fast parcel, pallet and in-motion capture
Route parcel, pallet, conveyor and forklift-lane workflows into the same data model.
Dimensioning inside a logistics suite
Fit mixed WMS/TMS stacks when the warehouse needs more than one vendor ecosystem.
It is a dimensioning workflow that uses sensors, cameras or computer vision to capture dimensions and then uses AI/OCR to enrich the scan with labels, documents, exceptions and system-ready data.
Sizelabs connects measurement data to receiving operations: dimensions, weight, photos, OCR fields, WMS/TMS handoff, billing evidence and exception context stay together.
Yes, when flexibility matters. Fixed and in-motion systems usually win on repeatability and throughput; mobile workflows help exception-heavy aisles. The right fit depends on volume, freight mix and system handoff.
Share your freight mix and systems. Sizelabs will map the right parcel, pallet, in-motion and OCR workflow before quoting.
250+ installations · 99.5% accuracy
Book a Demo