GNIZDO
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Catch inventory mismatches before they become refunds

GNIZDO is an independent multichannel inventory monitoring tool for ecommerce sellers. It observes WooCommerce, Etsy, and Shopify channels independently — reading catalog state, freshness, and stock and price changes — and shows stale inventory data and overselling risk before a sync gap turns into refunds or bad reviews.

  • Observe each channel independently
  • Spot stale inventory data
  • Watch channel freshness
  • Track stock and price changes
  • Review oversell-risk evidence
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Platforms

WooCommerce is supported, with explicit per-item stock or price writes when you choose them. Etsy is a read-only beta. Shopify is a read-only beta currently in rollout. eBay is planned. GNIZDO monitors each channel independently — it does not automatically sync or write between them.

CONFIRMED MAPPED PRODUCT

One product. Three channels. Three reported states.

WooCommerce

stock 12

$42.00

8m ago

Etsy

stock 14

$44.00

22m ago

Shopify

stock 9

$42.00

2m ago

Once you confirm which listings represent the same product, GNIZDO keeps their channel evidence together so differences are visible — without pretending a SKU match is proof. A matching SKU or title only surfaces a likely candidate; your explicit confirmation establishes shared identity, and GNIZDO does not automatically sync or change inventory between channels.

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.

It usually surfaces as one of two symptoms: overselling — unavailable items keep getting ordered — or inventory not syncing — channel data goes stale and stops matching the store.

Detection

What GNIZDO shows

A faster way to see when channel data can no longer be trusted. GNIZDO keeps a read-only view of each connected channel — catalog state, freshness, recent changes, and import health — so stale inventory data and overselling risk are visible before the next order.

Channel-local catalog state

See the latest known stock, price, and listing state for every SKU in a connected channel.

Freshness and trust signals

See when each channel was last successfully observed and whether its data is still fresh.

Change evidence

Review what changed between observations — stock drops, price changes, listing state — before acting.

How it works

What you get from GNIZDO

GNIZDO is detection-first, not sync-first. It does not automatically sync or write to your store — it observes channel state independently and surfaces the exceptions that need attention.

  • Connect your stores

    Connect a WooCommerce, Etsy, or Shopify store as a channel (Shopify is a read-only beta in rollout). GNIZDO observes each channel independently and never changes inventory automatically. WooCommerce supports explicit, capability-gated per-item stock or price corrections when you choose to make them; Etsy and Shopify connections stay read-only, with no write-back.

  • Build channel state

    GNIZDO keeps a local read model of each channel's catalog separately, so each channel's freshness, completeness, stock, and price can be tracked over time.

  • Review detected signals

    See stale channel data, incomplete imports, stock and price changes, and overselling-risk signals — with the evidence behind each one.

  • Confirm same-product identity

    GNIZDO surfaces likely same-product candidates using exact SKU or title evidence. A match is only a candidate — you confirm which listings are the same product. After confirmation, GNIZDO keeps that product's cross-channel evidence together so each channel's reported state is visible side by side.

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?
Stale channel data, incomplete or failed imports, unexpected stock and price changes, listings still active at zero stock, and overselling-risk signals.
Does GNIZDO change inventory automatically?
No. GNIZDO does not automatically change inventory — it shows evidence so you decide what to do. WooCommerce supports explicit, capability-gated per-item stock or price corrections when you choose to make them; Etsy connections stay read-only. There is no automatic cross-channel sync or write-back.
Does GNIZDO prevent overselling?
No tool can guarantee that — channels accept orders independently. GNIZDO shortens the time a stale or risky channel state goes unnoticed, which shrinks the window where oversells happen.
Which platforms are supported?
WooCommerce is supported, with explicit per-item stock or price writes when you choose them. Etsy is a read-only beta. Shopify is a read-only beta currently in rollout. eBay is planned. GNIZDO observes each channel independently — it does not automatically sync or write between them.
What data does GNIZDO read?
SKU, stock, price, listing status, channel state, and freshness signals needed to detect mismatches.
How does GNIZDO know two listings are the same product?
GNIZDO surfaces likely same-product candidates using exact SKU or title evidence, but a match is only a candidate. You confirm which listings represent the same product; only after confirmation does GNIZDO treat them as one item and keep their channel evidence together. GNIZDO does not automatically assume two listings are the same product.
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 stock updates between channels. GNIZDO does not sync or write anything — it focuses on detection: freshness, changes, and risky exceptions before they become customer-facing problems.