Dataset

retail-inventory-field-surveys

Foot Traffic & Mobility CSV API 1 source

On-the-ground audits of retail shelves: store-level inventory and condition snapshots collected by contracted field visitors with geolocation context: a direct check on availability and product presence.

Visit provider

Dataset card

Arch Metrics publishes retail-inventory-field-surveys, a commercial dataset of ground-truth store checks covering retail inventory levels and shelf conditions.

What this dataset contains

The product consists of field-survey records collected at retail locations, intended as direct ground-truth observations of in-store inventory and merchandising state. Coverage scope, sample size, and refresh cadence are not documented in the available material. Tags attached to the listing include retail, inventory, store-checks, field-surveys, and ground-truth, confirming the observational rather than transactional nature of the feed.

Structure and fields

No column schema has been published: the columns field is marked (unknown), and no masked sample rows are provided for inspection. Analysts evaluating the dataset should therefore request a data dictionary directly from Arch Metrics before integrating it. Splits and row-level partitions are likewise unspecified in the listing.

How analysts use it

Field-survey inventory data is typically used to validate or back-test point-of-sale and sell-through estimates derived from indirect signals such as foot traffic or shipment data. Equity and credit analysts covering retail issuers can compare reported inventory positions against an independent ground-truth sample to flag potential channel-stocking or markdown risk. Given the absence of a public schema and zero recorded downloads or likes, any integration should begin with a scoping pilot and vendor-supplied documentation.

Documentation & references 2