Dayta provides a cloud-based AI solution called Cyclops that connects to existing video cameras to analyze in-store customer behavior in real-time. By processing over 150,000 video feeds daily, it delivers actionable insights on visitor engagement, peak hours, and operational efficiency for brick-and-mortar retailers.
Funding
$8.1M 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.
Founders
Product
Problem
Brick-and-mortar retailers often lack comprehensive, real-time insights into customer behavior within their stores. This makes it difficult to optimize store layouts, marketing campaigns, staffing levels, and tenant mix to improve customer engagement and sales. Traditional methods of collecting this data are often manual, time-consuming, and lack the granularity needed for effective decision-making.
Solution
Dayta's Cyclops is a cloud-based AI solution that analyzes video feeds from existing in-store cameras to provide real-time shopper analytics. The platform processes over 150,000 videos daily, extracting data on visitor demographics, engagement levels, dwell times, and traffic patterns. This data is then used to generate actionable insights for marketing, operations, and strategy/leasing teams, enabling them to make data-driven decisions to enhance the customer experience and improve operational efficiency. The AI algorithm is trained on real-world retail data, ensuring high accuracy in identifying and interpreting shopper behavior.
Target Audience
The primary target audience includes retail stores, shopping malls, event and exhibition organizers, and commercial building operators seeking to optimize customer experience and operational efficiency through shopper analytics.
Features
- Connects to existing IP cameras, adding an extra layer of intelligence to current infrastructure
- Proprietary AI algorithm trained on real-world retail data for high accuracy
- Cloud-native architecture for scalability
- Real-time analysis of shopper demographics, engagement, and dwell time
- Identification of peak and non-peak hours to optimize staffing
- Evaluation of marketing campaign effectiveness and potential promotion spots
- Traffic data analysis for rent calculation and strategic planning
- Alerts for sudden events