Footfall Analytics for Automotive Showrooms
In a world where data is king, understanding customer behavior is crucial for any business. EMBIQ embarked on a project to develop a footfall analytics solution for automotive showrooms, leveraging WiFi technology and surveillance cameras to gain deeper insights into customer behavior.
Technologies used
Python
Tools
-
3
Project members
10 months
Project length
Software Development
Category
Automotive
Branch
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The challenge
Our team was tasked with creating a solution that could count the number of visitors to the showrooms and estimate their return rate and duration of stay. The analytics were further broken down by days of the week and months, providing a comprehensive view of customer patterns. The most challenging aspect of the project was the development of a new technology for calibrating and estimating data from WiFi based on camera footage. This required a deep understanding of both technologies and the ability to integrate them seamlessly.
The project was a unique blend of challenges and learning opportunities. The integration of WiFi data with camera footage was particularly interesting, as it required us to think outside the box and come up with innovative solutions.
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The result
This project showcases EMBIQ's commitment to leveraging the latest technologies to give businesses the insights they need to succeed. Our footfall analytics solution is just one example of how we can help businesses better understand their customers and make data-driven decisions.
Seeing our solution implemented in the showrooms and making a difference in how they understand and interact with their customers was incredibly rewarding. It's projects like these that remind me why I love working in tech.
What kind of competencies are you looking for?
Contact me to discuss your requirements and build your dedicated IT team together with us.
Agnes
business development specialist
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