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Start with the lookup key
Use the receipt, pallet, carton, shipment, or customer reference that the next team already searches. Confirm it reaches the intended record, not a side report.
Sizelabs does not stop at capture. We connect scans, dimensions, weights, photos, and receiving data to the WMS, TMS, and ERP your team already runs — Magaya, Cargowise, TrackingPremium, and many more — so you can move faster without creating another reconciliation mess.
Sizelabs already integrates with warehouse, transportation, and forwarding systems used by current customers — not theoretical target logos.
The integration layer also supports environments running specialized warehouse and logistics software across receiving and back-office workflows.
Wilkins can also connect with FreightSnap dimensioners, which makes Sizelabs useful for operators who want better workflows and cleaner data without forcing a full rip-and-replace on day one.
The real value is not the connector alone. It is the clean operational data that reaches the destination system with structure and traceability.
Operator AI and Sizelabs dimensioners capture labels, trackings, documents, dimensions, weights, and photos at the point of work.
Wilkins Assistant maps incoming data to your entities, rules, and receipt structure so office teams are not fixing raw inputs all day.
Business rules catch mismatches, missing values, and edge cases before bad data reaches your system of record.
Approved records flow into your operational stack with a full audit trail, instead of creating another manual side process.
A connector is only useful when the original operational record stays searchable after data moves downstream.
Keep the receipt, shipment, pallet, carton, or customer reference that lets every team find the same record.
Preserve dimensions, weight, capture time, and the station or method that produced the record.
Attach the relevant photo, label, document, or exception proof to the operational record instead of a separate folder.
Show whether the record is ready, flagged, reviewed, or approved before it becomes a downstream update.
A connector is ready when another role can find the right physical facts and the open exception after the item has moved on. Run this short check with one ordinary receipt and one familiar exception before treating a field map as finished.
Use the receipt, pallet, carton, shipment, or customer reference that the next team already searches. Confirm it reaches the intended record, not a side report.
Use a no-read, mismatch, or condition note that your team recognizes. Check that it is marked for review instead of silently becoming a clean downstream update.
Ask receiving, billing, or customer service to find the same facts, proof, and decision status without asking the operator to reconstruct the scan.
Warehouse and office teams stop copying the same data across apps, emails, spreadsheets, and WMS screens.
Entity mapping and validation rules reduce bad receipts, mismatched records, and cleanup work later.
Dimensions, weights, photos, and labels stay linked to the transaction, which improves auditability and carrier conversations.
When something does not match, teams review exceptions instead of rebuilding the record from scratch.
No. The point is to improve the systems you already run, not force a rip-and-replace project.
That is normal. Sizelabs already integrates with systems like Magaya, Cargowise, Flow WMS, TrackingPremium, DYR Soft, Misiil, and Orquídea, and can support custom mapping rules depending on the environment.
Yes. Wilkins can connect with FreightSnap dimensioners, which helps teams improve workflows and downstream data quality without requiring a full hardware replacement immediately.
Yes. Exception queues and review workflows are part of the operating model, especially when entity confidence or validation rules require approval.
Labels, tracking numbers, dimensions, weights, images, OCR fields, receipt data, and validation results are all part of the data flow depending on the workflow.
Let’s map the systems you already use and show where Sizelabs removes manual work, bad data, and receipt friction.
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