TECH-NAMA : Data led Instore Omnichannel design. The Sensor lets you collects Footfall patterns , customer -space interaction data etc Bypassing GDPR
Wajahat Hussain
On a mission to change the world from “buy new” to “renew what matters" , | H&M Global Change Award Winner 2022 | Norrsken Impact/100 Honoree 2024 | Not in any Forbes list ??
Omni-channel is the new buzzword for many brands, The most simplistic way of defining omnichannel would when a brand wants to deliver a consistent experience to their users/customers throughout all of their interaction channels.
Easier said then done, specially in the realm of physical retail stores. Now even though the e/m-commerce is taking an increasing share of the businesses, the retail stores are not going anywhere, they’re here to stay and evolve because of the ultimate and sensory experience that they deliver.
Quantification and data collection Of a consumer experience in the store is very challenging since the traditional methods are very subjective and most of the modern tracking technologies like visual tracking, eye tracking, cell phone count detection etc violate privacy laws.
However this new All-in-one Smart Building Sensor from Beringar bypasses the need to consent in the post GDPR world.
Here’s what we know about it so far
15 New Data Points
But No personal data, as it works on aggregate data.
Application of the data
- Footfall patterns in Retail Store, flow and hotspots, based on which you can take product display decisions.
- Beyond power consumption and radio selection
- Room air quality
- Dwell times
- Ambient environmental data of the factors, such as CO2, VOC, UV, noise, light and temperature levels
- Data driven space and Architectural design.
- Square meter usage optimisation.
- Identify live risks and compliance breaches etc
For fashion brand this combined with product based RFID and POS data means that you would know everything that’s happening in the store. It just amplifies the possibilities.
How does it work ?
Since, it’s a patent pending device little is known about exactly how it functions or makes it work. All we know through the producer’s website is that the sensor has machine learning algorithms and machine vision .
a visual of how the data looks
Source
Space As a service and optimising every square metre
There is very little objective data on how people and buildings interact daily.
With advances in IoT, machine vision, machine learning, artificial intelligence, cloud computing and connectivity, it finally becomes possible to understand how people and buildings relate on a daily basis.