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Behind the Scenes at the Intel Experience Store: How WaitTime's Anonymous Computer Vision Transforms Retail
- karacohen
- 3 days ago
- 2 min read
Imagine stepping into the Intel Experience Store in New York City, being greeted by displays, interactive product stations, and curious shoppers exploring the latest innovations. What you don’t see, but what’s quietly shaping your experience, is WaitTime’s software, the first technology touchpoint working invisibly in the background.
As you wander toward a demo station, WaitTime is anonymously tracking the flow of foot traffic. The system measures how long people linger, how many actively engage, and where attention naturally drifts. This isn’t surveillance; it’s anonymous behavioral insight designed to help the store adapt in real time.
Anonymous by Design
Unlike traditional tracking systems that rely on facial recognition or personal identifiers, WaitTime’s solution is completely anonymous. The software focuses on behavioral patterns and movement flows, ensuring that retailers gain valuable insights without collecting or storing personal data.
Reducing False Positives
Other crowd analytics platforms often struggle with accuracy as greeters, children, or casual passersby can trigger thresholds and distort conversion metrics. WaitTime solves this problem by setting behavioral contingency parameters, which can be time-based (ex. how long someone lingers) or physical (ex. such as how many times a threshold is crossed).
This reduces false positives and ensures that retailers measure true engagement rather than incidental activity. WaitTime’s data dashboard and historical analytics platform can leverage these parameters by ensuring that entry and exit numbers are accurately represented and reliably inform operational decision-making.
Measuring Engagement
Beyond traffic counts, WaitTime provides deeper insights into customer engagement, specifically at in-store attractions:
Active product interaction: Tracking how many people engage with a product over time and for how long.
Attraction mapping: Identifying which areas of the store consistently draw attention.
These metrics allow retailers to refine product placement, enhance promotional strategies, and ultimately create a more immersive shopping experience.
Elevating the Retail Experience
By combining privacy-conscious analytics with actionable insights, retailers gain the ability to:
Optimize store layouts for maximum impact.
Improve staffing efficiency and customer service.
Deliver personalized experiences without compromising anonymity.
This collaboration further elevates the Intel/WaitTime partnership, serving as a tangible showcase of what happens when technology leaders and solution providers join forces. The lesson is clear: the channel’s future lies in collaborations that accelerate innovation, and when partnerships align, the entire channel moves forward.
To learn more about WaitTime in the retail space, join our partner portal and explore our other use cases.