GNIZDO
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Catch inventory mismatches before they become refunds

GNIZDO helps multichannel sellers detect risky SKUs, stale channel data, price drift, and inventory mismatches before they turn into oversells, refunds, or bad reviews.

  • Detect risky SKUs
  • See stale channel data
  • Compare channel state
  • Review mismatch evidence
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Current focus

Focused on WooCommerce, Etsy, eBay, and Shopify sellers comparing the same SKU across channels.

SKU COMPARISON

SKU ADZUKI-ORG-4

WooCommerce

stock 12

$42.00

Etsy

stock 14

$44.00

22m ago

eBay

stock 11

$42.00

Spreadsheet

stock 12

$41.50

manual

Mismatch across 4 sources. Oversell and price-drift risk detected.

THE QUIET PROBLEM

A single lagging inventory update can open a costly sales window.

One channel updates first. Another lags. A spreadsheet gets patched manually. Now the same SKU shows different stock or price in different places. Most sellers find it after the order comes in, not before.

Detection

What GNIZDO shows

A faster way to see which SKU is risky and why. GNIZDO builds a local view of your multichannel inventory state so mismatches, stale data, price drift, and sync delays are visible in one place.

SKU and channel context

See the affected SKU, source channel, and conflicting channel state.

Freshness and trust signals

See when each signal was last checked and whether it is still reliable.

Mismatch evidence

Review stock, price, listing, and channel health evidence before acting.

How it works

What you get from GNIZDO

GNIZDO is detection-first, not sync-first. It keeps the workflow focused on comparing channel state and finding the exceptions that need attention.

  • Connect channels

    Link supported sales channels so GNIZDO can read SKU, stock, price, listing, and freshness signals.

  • Build local inventory state

    GNIZDO builds a local read model of channel state so differences can be compared clearly.

  • Review detected mismatches

    See the SKU, affected channel, freshness signal, and evidence behind stock mismatch, price drift, stale data, and overselling risk.

Calculator

The hidden cost of overselling

Overselling is usually the visible symptom. Refunds, support load, manual cleanup, and lost repeat purchases stack up quietly.

No signup. Takes 30 seconds.

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FAQ

Questions before you create an account?

What kind of issues does GNIZDO catch?
Stock mismatch, price drift, stale channel data, listing state conflicts, and overselling risk across the same SKU.
Does GNIZDO change inventory automatically?
No. GNIZDO is detection-first. It helps you see mismatches and evidence before you decide what to do.
Which platforms are supported?
The current focus is WooCommerce, Etsy, eBay, and Shopify sellers comparing the same SKU across channels.
What data does GNIZDO read?
SKU, stock, price, listing status, channel state, and freshness signals needed to detect mismatches.
Where is data stored?
GNIZDO stores a local read model of connected channel observations so it can compare state and show evidence.
How does GNIZDO handle privacy and security?
GNIZDO does not ask for platform passwords on the landing page and keeps data use focused on detection-first inventory review. See the privacy and security pages for details.
How is this different from sync tools?
Sync tools push updates. GNIZDO focuses on detection, evidence, stale signals, and risky exceptions before they become customer-facing problems.