Physical-store demand telemetry from owned AI sensors

Name: Physical-store demand telemetry from owned AI sensors: Nano units measuring entrance traffic, occupancy and queue metrics; Nano Prime measuring in-store zone traffic, dwell time and heatmaps; normalized in the BoostBI layer and joined to the retailer's own POS transactions, workforce hours, and inventory/merchandising feeds to yield conversion, sales-per-visit and service-pressure series at store × time granularity, delivered through a scoped REST API plus native Shopify and Nebim connectors.
Creator: V-Count

V-COUNTManage supplier listing

Physical-store demand telemetry from owned AI sensors: Nano units measuring entrance traffic, occupancy and queue metrics; Nano Prime measuring in-store zone traffic, dwell time and heatmaps; normalized in the BoostBI layer and joined to the retailer's own POS transactions, workforce hours, and inventory/merchandising feeds to yield conversion, sales-per-visit and service-pressure series at store × time granularity, delivered through a scoped REST API plus native Shopify and Nebim connectors.

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Coverage

Universe, instruments and categories.

Industry: Application SoftwareElectronic Equipment & Instruments
Instruments: equities
Categories

Dataset card

Type: not stated
Format: Tabular time-series with heatmap/raster overlays from zone tracking; delivered by dashboards, native BI connectors and a scoped REST API
Volume: Bounded estimate: 20K installed door positions × ~250 interval records/day × ~350 trading days ≈ 1.75B interval datapoints per year, before adding queue, zone and heatmap channels from Nano Prime installations. Installed-door count and the sensor-channel mix are the unknowns — request both.
Users: N/A for data subjects — visits are counted anonymously and never registered. Commercial denominator is installed locations, not users; not published on the page. With ~$12M revenue on a per-location subscription/SaaS model, the installed base is plausibly in the tens of thousands of door positions across multiple countries.
History: 12 years
Update frequency: not stated
Growth: Active and scaling — funded ($5.6M raised), ~$12M revenue on 63 staff, current content and product surface (Nano/Nano Prime hardware generations plus a BI layer with live connectors), and a multi-country distribution model. This is a growing hardware+SaaS business rather than a maintained one.
Launched: not stated
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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