Solution / inventory evidence

Inventory management evidence across your sales channels

GNIZDO shows what each connected channel reports about stock, how fresh that evidence is, and where confirmed shared items disagree, so inventory decisions start from reviewable evidence instead of one number that only looks current.

What GNIZDO observes What stays seller truth
A broader small-seller stockroom with shelves, bins, varied products, packing traces and a person checking a clipboard.

Channel reports drift away from the stock you manage

When the same inventory sells through several channels, each channel keeps its own reported quantity. Those reports can fall behind or disagree through ordinary operations: a sale that reaches one channel first, a failed or delayed update, a manual edit in one place, or a return that changes sellable stock before every listing catches up.

The hard part is not seeing a number. It is knowing whether that number is current, whether it can be compared with another channel, and whether a difference is real or an artifact of stale data or unconfirmed identity.

Channel-reported inventory state, kept reviewable

GNIZDO is detection-first. It observes connected channels independently and keeps their reported catalog state, observation freshness, changes between observations, missing evidence, and supported findings reviewable.

Where canonical checks make a conclusion eligible, GNIZDO shows the evidence behind it and the limits around it. It does not turn a channel report into physical inventory truth.

Stale evidence is shown as stale

Every channel value carries the time it was last observed. When a channel has not been read successfully for a while, or a value needed for a conclusion is missing, GNIZDO marks the evidence as stale or unavailable instead of presenting an old quantity as current.

A failed collection attempt does not erase the last confirmed observation, and a healthy connection does not prove two channels agree. Freshness, reachability, and agreement stay separate signals. How to read inventory data freshness covers the trusted, stale, and unverified states in depth.

Mismatches only between confirmed shared items

Sellers often have shared products, channel-exclusive products, or a mix of both. GNIZDO compares channel-reported values only for items whose shared identity has been confirmed, so an unmatched listing is not turned into a false mismatch.

Shared identity is confirmed by the seller, or automatically only from an exact valid GTIN or an exact SKU that is unique on each participating channel with no GTIN conflict. Titles, prices, and ambiguous matches stay candidates for review. How cross-channel product identity works explains the evidence and its provenance.

GNIZDO stock mismatch finding: review status, first and last seen times, item SKU, WooCommerce reporting 12 units and Etsy 0 for the same item, and trust marked complete, fresh, high.
Stock mismatch finding: per-channel values, review state, and trust. Illustrative sample data.

What GNIZDO observes, and what stays seller or warehouse truth

Evidence works best on top of a defined operating model

GNIZDO can show what channels report and where confirmed items disagree. Deciding which channels share stock, which system owns the sellable quantity, and which differences are intentional buffers or allocations is part of your own operating model. For a confirmed shared item, declared stock intent tells GNIZDO whether its quantities are meant to match.

To design that model, read the multi-channel inventory management operating-model guide: stock pools, sellable-stock authority, channel policies, failure handling, and review cadence.