Aura Vision transforms retail environments by utilizing AI-driven analysis of CCTV footage to generate actionable insights on customer footfall and demographic trends. This technology enables retailers to optimize staffing, enhance customer experiences, and provide brand partners with competitive performance metrics.
Funding
$2.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
AVDTFounders
Product
Problem
Retailers often lack comprehensive, real-time insights into customer behavior within their stores, hindering their ability to optimize staffing, improve customer experience, and provide valuable data to brand partners. Traditional methods of data collection are either inaccurate, require additional hardware, or fail to provide a holistic view of the customer journey.
Solution
Aura Vision provides an in-store analytics platform that leverages existing CCTV infrastructure to deliver actionable insights into customer behavior. Using AI-powered video analytics, the platform accurately measures footfall, identifies demographic trends, and analyzes the customer path to purchase. This enables retailers to optimize staff allocation based on real-time demand, personalize customer experiences, and offer brand partners competitive performance metrics related to product engagement and audience demographics. The platform is designed to be scalable, secure, and compliant with data privacy regulations, ensuring seamless integration and reliable data analysis across multiple store locations.
Target Audience
The primary target audience includes retail chains, store managers, marketing teams, and brand partners seeking to improve in-store customer experience, optimize operations, and gain competitive insights into customer behavior.
Features
- AI-powered video analytics using existing CCTV infrastructure, eliminating the need for new sensors
- Footfall counting with accuracy to benchmark location busyness and identify traffic conversion opportunities
- Customer segmentation technology to identify local demographic trends
- Staff planning tools to optimize staff allocation based on real-time customer demand
- Path-to-purchase analysis to identify key moments along the customer journey and drive conversion
- Brand performance insights on product engagement and demographic audiences
- Scalable architecture designed for full-location coverage across multiple stores
- Secure network communication processes and compliance with data privacy regulations