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GearDock

Capability

Bring Your Spreadsheet in Without Adopting a New Schema First

Column mapping for the file shapes you already receive, per-row validation, batch inspection before anything is committed, and exceptions grouped by cause.

The Question This Answers

How do I get thousands of products in without a data project first?

Supplier exports never share a schema. A system that requires one before you can start has moved the hard part rather than solved it, so GearDock maps columns per import instead.

Column Mapping

You confirm which column carries the manufacturer, which carries the identifier, and which are descriptive. The mapping is saved for that file shape, so the same supplier's quarterly export becomes a repeatable import rather than a fresh decision each time.

Row-Level Validation

Each row is validated independently. A malformed row is recorded with the reason it failed and does not stop the batch, so one bad row cannot block several thousand good ones.

Validation outcomes
OutcomeMeaningTypical cause
AcceptedRead successfully, with a usable identifier.None
FlaggedParsed, but something looks wrong.Malformed identifier, missing manufacturer, suspicious formatting.
RejectedCould not be interpreted as a product.Merged cells, shifted columns, a header row inside the data.

Exceptions Grouped by Cause

Import failures cluster. A supplier file with a systematic formatting quirk produces many failures of the same shape, so exceptions are grouped by their underlying cause rather than listed as hundreds of individual problems. Fixing the cause in the source file and re-importing is usually faster than correcting rows one at a time, and it improves the file you will use again next quarter.

No Patient Information

Import files must not contain patient records, clinical notes, or service reports carrying patient data. GearDock is a product catalog system and is not intended for protected health information.

Boundaries

What This Does Not Do

Stated plainly, because knowing the edges of a capability is more useful than another list of benefits.

  • It does not clean your source data for you. It tells you exactly what is wrong so you can fix it at the source.
  • It does not guess at ambiguous columns. Mapping is confirmed by a person.
  • It does not write anything to your catalog until you have reviewed the batch.
  • It does not accept protected health information.

In Sequence

What Comes Before and After

Each capability hands something specific to the next. Following the chain is usually more useful than reading them in isolation.

Questions

Common Questions

What file formats are supported?

Spreadsheet files as exported by the systems most sellers already use. If your export has an unusual shape, mapping handles it without requiring you to reformat first.

Can I re-import the same file after fixing it?

Yes, and that is usually the fastest path. Correcting the cause in the source file and re-importing beats fixing rows individually, and it improves the file for next time.

Is my import visible to other organizations?

No. Import batches, like everything else in GearDock, are scoped to a single organization and are never visible or actionable from another.

Private Beta

See This Working on Your Catalog

Capability pages describe the mechanism. A working session on your own products shows you how it behaves with your data, which is a more useful basis for a decision.