EVERYANGLE
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About
EVERYANGLE is an advanced intelligence platform designed specifically for the physical retail sector. By combining Vision AI with Agentic AI, the tool transforms standard video feeds into actionable insights regarding customer behavior within brick-and-mortar environments. Its primary purpose is to bridge the gap between simple observation and automated decision-making, allowing retailers to understand how people move through their stores, who they are, and how they interact with products in real-time. This level of granularity helps businesses move away from guesswork toward a more scientific approach to physical store management. The platform works by layering its proprietary AI technology over existing camera infrastructure to capture high-fidelity data without requiring extensive new hardware. Key features include the analysis of group sizes, customer demographics such as age and gender, and overall foot traffic patterns. Unlike traditional sensors that only count heads, EVERYANGLE’s Agentic AI layer is designed to interpret these signals and suggest or trigger specific outcomes. This allows store managers to optimize staffing, product placement, and marketing strategies based on empirical evidence provided by the AI's processing of visual data. This tool is ideally suited for store managers, operations directors, and retail marketing teams at large-scale brands. It is currently utilized by global leaders in the fashion, beauty, and food and beverage industries, including Victoria's Secret, H&M, Starbucks, and Ulta Beauty. These organizations use the platform to gain a competitive edge by treating their physical locations with the same level of analytical rigor typically reserved for e-commerce websites, enabling them to react more quickly to changing consumer trends and operational needs. What distinguishes EVERYANGLE from standard computer vision tools is its focus on the "Agentic Intelligence Layer." While many tools provide raw data dashboards, EVERYANGLE focuses on outcomes by integrating agentic capabilities that help automate the transition from insight to action. This reduces the cognitive load on retail staff and ensures that the data collected leads directly to improvements in customer experience and operational efficiency, making it a comprehensive solution for modernizing physical retail spaces.
Pros & Cons
Integrates with existing camera infrastructure to reduce hardware costs.
Combines Vision AI with Agentic AI for automated decision-making.
Trusted by major global brands like Victoria's Secret and Starbucks.
Provides deep demographic and group-level analytics beyond simple headcounts.
Operates across multiple global regions with dedicated offices in the USA and EMEA.
Pricing is not transparent and requires booking a demo to obtain.
Effectiveness depends on the quality and placement of existing video infrastructure.
Focused exclusively on physical retail, limiting its application in other industries.
Use Cases
Store managers can use group size analytics to optimize staffing levels during peak hours based on real-time customer density.
Retail marketing teams can analyze demographic data to measure the effectiveness of in-store displays and targeted promotions.
Operations directors can leverage Agentic AI to automate response protocols for specific customer behavior patterns across locations.
Loss prevention teams can utilize Vision AI to better understand movement patterns and identify high-risk areas within the store layout.
Platform
Task
Features
• behavioral insights
• real-time decision support
• vision ai
• agentic ai
• outcome automation
• foot traffic monitoring
• customer demographics
• group size analytics
FAQs
How does EVERYANGLE capture data in physical stores?
The platform uses Vision AI to analyze video feeds from existing camera infrastructure in retail spaces. It processes this visual information to track customer movements, demographics, and group interactions without requiring specialized sensors.
What is the Agentic AI layer mentioned by the platform?
The Agentic Intelligence Layer is a specialized AI component that goes beyond data collection to help automate decisions and actions. It interprets the insights gathered by Vision AI to suggest or execute outcomes that improve retail efficiency.
Does the tool require new camera installations?
No, the platform is designed to integrate with a retailer's existing physical infrastructure. By layering Vision AI over current systems, it avoids the high cost and complexity of a complete hardware overhaul for the retailer.
Which retail sectors can benefit most from this tool?
EVERYANGLE is designed for various physical retail environments, including fashion, beauty, and food services. Current clients include major global brands like Starbucks, H&M, Primark, and Ulta Beauty.
Pricing Plans
Custom
Unknown Price• Vision AI analysis
• Agentic AI insights
• Customer demographics
• Group size analytics
• Real-time decision support
• Physical retail optimization
• Integration with existing cameras
• Outcome-driven reporting
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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