Meet Ariadne at NRF 2027: Retail's Big Show

Twenty minutes at the booth, booked before the show. Bring one number you do not trust: a conversion rate built on transactions alone, a rota set to last year's traffic, or a store you suspect is losing sales at the till.

Dates
January 10 – 12, 2027
Venue
Jacob K. Javits Convention Center, New York, NY, USA
Stand
Booth 6231
Booth
6231, Javits Center
Team on site
Govarthan Natarajan, Georgios Pipelidis, Jasmine Wang, Nikos Tsiamitros and Umut Bagceli

Passes run through NRF directly. Official registration

Pick a time at the show

  1. Twenty minutes, at the booth or over coffee, at a time you choose.
  2. You describe one store and one measurement you do not trust today.
  3. We show what our sensors would report there, and what they would not.
  4. No slide deck unless you ask for one.

On the stand

On the booth at 6231

Everything on the stand is shipping today. Nothing is a roadmap slide.

A sensor with no camera in it

Time-of-Flight depth sensing counts everyone entering, capturing geometry rather than images. Patented phone signal sensing follows movement through the interior, reading the signals a phone emits even in airplane mode. Both feeds stream to Ariadne, where Hybrid Fusion combines them into one trajectory per visit. No MAC address, no device ID, no biometric data, no video.

Store conversion, queues and dwell, live

How many people entered, which zones they visited, how long they stayed, how long the queue was and who gave up in it. The same counts drive conversion by hour, footfall-based scheduling, and the business case your finance team will ask for.

Threa AI on real visit data

Ask the dashboard a question in a sentence instead of building a report. It answers from the visit data your own sensors produced.

Already deployed

What this has been worth to a retailer

WEKO ran Ariadne's people flow analytics across its stores and measured 20% traffic growth and a 40% sales lift. Watsons lifted traffic 20% in one week with cross-promotional campaigns built on the same counts. Glasgow Airport turned passenger flow insight into £54,000 of additional daily non-aeronautical revenue. Every number here was published by the operator, not projected by us.

40%
sales lift at WEKO with people flow analytics
20%
traffic lift in one week, Watsons cross-promotion
£54,000
additional daily non-aeronautical revenue at Glasgow Airport

What twenty minutes covers

Your floor plan on the table: where sensors would go, what they would report there (entrance counts, zone traffic, dwell, queues, movement between departments), and what they would not. If you already run counters, bring last quarter's numbers and we will talk about where they come from and why they disagree with what the stores report.

How the counting works

Ariadne measures this with Hybrid Fusion, its patented camera-free method. Time-of-Flight depth sensing counts every visitor at the entrances, capturing geometry rather than images, while patented phone signal sensing follows movement through the interior, detecting the signals a phone emits even in airplane mode, and tracks that movement to about one-metre precision. The sensor streams both feeds to Ariadne, where Hybrid Fusion combines them into one trajectory per visit and computes counts, dwell, and paths. The streams carry no identifier: no MAC address, no device ID, no biometric data, and no camera is involved. Identifiers are stored only when a visitor explicitly opts in, which keeps the method GDPR-friendly and outside biometric territory.

Why retailers pick a camera-free counter

Nothing personal is captured at the sensor: no face, no demographic inference, no identifier. There is nothing to anonymise after the fact, and nothing for biometric privacy laws such as BIPA or GDPR's biometric provisions to attach to, which is a structural answer rather than a compliance project. For a multi-state or multi-country estate, that is one privacy assessment that reads the same everywhere.

The measurement itself, the accuracy figures, and the comparison against camera-based counters live on the people counting page.

Before the show

Questions we get asked on a stand

Where is Ariadne at NRF 2027?

Booth 6231 at the Jacob K. Javits Convention Center. The show runs January 10 to 12, 2027. Book a slot above and we will hold the time; walk-ups work too whenever the booth is staffed.

Do you use cameras?

No. Ariadne counts with Hybrid Fusion: Time-of-Flight depth sensing plus patented phone signal sensing, never cameras. Time-of-Flight captures geometry rather than images, and signal sensing captures no MAC address by default, so the measurement involves no video, no faces, and no biometric data.

What can it measure in a store?

Entrance counts, zone-by-zone traffic, dwell time, queue length and abandonment, and how shoppers move between departments. Retailers use the same feed for conversion by hour, footfall-based staff scheduling, and layout decisions.

How accurate is it?

Accuracy depends on the layout, sensor placement, and how the store defines a count, whether that is entries only or zone by zone. Real-world deployments at retailers, airports and shopping centres consistently measure within 1 to 2 percent of ground truth.

Does this replace our existing systems?

Usually it feeds them. Ariadne has an open API and pre-built connectors, so the counts can drive the BI stack, the workforce system, and the marketing tools you already run. Bring the list of systems and we will tell you which ones we have already connected to.

We cannot get to New York. Can we still talk?

Yes. The same booking link works for a remote call, and the conversation is the same one: your store, one measurement you do not trust, and what our sensors would report there.

Book before the diary fills

Diaries at a show fill from the outside in. Booking now gets you a time that suits your agenda rather than whatever is left on the last day.