V-Count vs RetailNext:Choose the Right Fit for Your Stores

RetailNext publishes an in-store analytics platform covering shopper traffic counting, in-store movement and store performance reporting, delivered through a cloud dashboard with sensors at entrances and inside the store. Which specific modules are enabled in a given quote is not published as a fixed list, so ask for the enabled feature set in writing before comparing.

V-Count’s equivalent set is concrete: Nano AI or Nano Prime at the entrance, Nano Outdoor for exterior counts, BoostBI for traffic, conversion, dwell and heatmap reporting, VCare for live occupancy, and an optional anonymous gender and age module. See retail store analytics.

RetailNext is a United States-based retail analytics company. It sells in-store sensors together with a cloud analytics platform so retailers can count visitors entering a store, see how traffic moves through it, and report metrics such as footfall and conversion for a single store or a whole chain.

It is bought through a sales process rather than self-service, and pricing is published on request. V-Count addresses the same need with Nano AI sensors and BoostBI, adding queue measurement and VCare live occupancy on the same devices.

Start with people counting for the underlying technology.

They are not two versions of one product, and the names are frequently confused. RetailNext, written as one word, is the retail analytics company described on this page. “NXT” is a short brand or model suffix used by several different companies inside and outside retail technology; it is not an abbreviation of RetailNext.

If a datasheet, quotation or RFP mentions “NXT”, check the legal company name on the document before placing it in a comparison, because the specifications behind the two names are unrelated. V-Count writes its products out in full — Nano AI, Nano Prime, Nano Outdoor, BoostBI, VCare — so quotations stay unambiguous.

RetailNext’s published positioning is enterprise and multi-store retail: chains with several locations, a head-office analytics function and an existing procurement process. Whether a single site or a small chain qualifies depends on minimum contract terms that are published on request, so ask directly rather than assuming either way.

V-Count is deliberately sold at both ends of that range. One entrance with a single Nano AI sensor and a BoostBI licence is a valid starting configuration, and the same hardware and platform scale to hundreds of stores without re-platforming later.

See how V-Count structures hardware, licence and support.

V-Count publishes fixed price ranges (US$299–US$799 per sensor, paid once, plus BoostBI at US$9–US$49 per sensor per month); RetailNext sells a subscription and gives an instant online estimate per store.

RetailNext’s pricing page asks for the number of stores, entrances per store, store type, region and current technology, then shows a cost per store per year and the number of sensors. The subscription includes Aurora sensors, desktop and mobile platform access, software licences and updates, an unlimited Aurora hardware warranty, annual audits and access to Benchmarks market data.

RetailNext lists costs that may be added: installation priced by site complexity, cabling and network work, shipping, taxes and import duties, special mounting hardware and custom integrations beyond standard POS connections.

Compare like for like over three years: V-Count hardware is a one-time purchase plus BoostBI per sensor per month, while RetailNext bundles its sensors into the subscription. See V-Count pricing.

V-Count BoostBI connects sales through native Shopify and Nebim connectors, working integrations for VendPOS, Nayax, ImagineX and QuickBooks, manual sales import or a scoped REST API, and exports traffic to the BI tool where loyalty and inventory data usually live.

RetailNext’s pricing page includes standard POS connections in its subscription and prices custom integrations beyond those separately. Ask RetailNext which POS, loyalty and inventory systems are covered as standard for your stores, which way the data flows and how often it refreshes.

Whichever platform you choose, join data on store ID and date, and agree how returns, staff and opening hours are treated before comparing stores.

V-Count suggests six features for a small business: accurate entrance counting (Nano AI, up to 99%), staff exclusion (lanyard, shoulder tag or mobile app), conversion from connected sales, a mobile app for owners, published pricing and simple installation.

RetailNext-style platforms add in-store paths, video and asset-protection features that larger chains use. A small business usually gets most of the value from traffic, conversion and staffing reports, so check which features you would pay for but not use.

V-Count fits small stores with published pricing (US$299–US$799 per sensor, paid once, plus BoostBI at US$9–US$49 per sensor per month), Wi-Fi sensors on 5 V USB-C, and placement advice within 24 hours from a floor plan and photos taken by the store manager.