Everyangle provides computer vision solutions that utilize Cisco Meraki MV smart cameras for real-time monitoring and analytics in retail and industrial settings. This technology enhances operational efficiency by optimizing inventory management and improving security measures.
Funding
$2.7M 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.
FVSVFounders
Product
Problem
Brick-and-mortar retailers often lack the detailed customer behavior analytics available to online stores, hindering their ability to optimize store performance, reduce losses, and improve the customer experience. Traditional methods of gathering in-store data are often inaccurate, labor-intensive, and fail to provide a comprehensive view of customer interactions. This data gap limits retailers' ability to make informed decisions about staffing, marketing, and store layout.
Solution
Everyangle provides a Vision AI platform that leverages existing CCTV smart cameras to deliver real-time, in-store analytics, bridging the data gap between online and offline retail. The platform uses computer vision to analyze customer footfall, demographics, in-store journeys, and sales conversions, providing retailers with actionable insights to improve store performance. Everyangle's solutions include physical retail analytics for optimizing operations and marketing, intelligent archiving for simplified compliance, and loss prevention tools to reduce shrinkage and internal fraud. By providing a comprehensive understanding of in-store customer behavior, Everyangle empowers retailers to make data-driven decisions that increase conversions, reduce operational costs, and enhance customer satisfaction.
Target Audience
Everyangle targets brick-and-mortar retailers across various sectors, including grocery, hospitality, luxury retail, and sports venues, seeking to enhance operational efficiency, improve customer experience, and reduce losses through advanced in-store analytics.
Features
- Customer profiling: Understand in-store customer demographics and behaviors.
- Footfall tracking: Analyze traffic patterns and store performance with insights into customer entries.
- Staff and minor identification: Differentiate between staff, minors, and customers to refine footfall counts.
- Queue management: Track customer wait times to optimize layouts and reduce walkouts.
- Marketing impact analysis: Evaluate campaign performance using footfall, engagement, and queuing data.
- Loss prevention: Reduce shrinkage and investigation costs with advanced computer vision technology.
- Intelligent archiving: Automate data storage for compliance with cost savings in data storage and energy costs.
- Staffing & Rostering Efficiency: Identify peak hours and optimize staff schedules to reduce wait times.