AvidRetail: Your Trusted 24/7 Retail Analytics Operator
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AvidRetail Solution
AvidRetail is a real-time video AI analytics solution that provides store owners with intelligent information related to business operations such as customer count, gender, age, distribution, and density analysis through dashboards and marketing graphs.
Retail video analytics seamlessly extract meaningful information related to business operations from video surveillance cameras deployed in-store, aiming to boost the speed and accuracy of retailer decision-making and effective use of marketing tools, which strongly impact the bottom-line results. Video analytics for smart retail can also help ensure customers’ health compliance and social distancing.
AvidRetail Features
- Visitor flow and distribution
- Visitor entry/exit counts (day/week/month)
- Hot spots (places most frequently visited by customers)
- Visitors gender distribution
- Access density analysis (access volumes based on time-of-day)
- Patterns of movement during access
- Visitors age estimation distribution
- Correlations among advertising campaigns and customer visits
- Diversified set of configurable alarms
- Traffic forecasts based on history
- Cashier queues performance as a function of time-of-day
- Graphical representation of data
Heatmaps Analysis
Heat mapping technology in AvidRetail uses behavior video analytics with artificial intelligence to track customer behavior patterns in the store by extracting meaningful insights from in-store camera footage.
Real-time video AI analytics solutions enable store managers to better understand customers’ paths in the store, time spent in each section, the store’s high and low concentration spots, the best in-store promotion location, and how consumers engage with different product displays and shop layouts.
By identifying hotspots, high-traffic areas, and dead zones with video analysis, retailers can optimize product placements and store layouts to enhance overall customer satisfaction and increase sales.
Visitor Demographics Analysis
AvidRetail employs a video processing and analytics system for retail stores to obtain demographic information about the customers, extracted from video content.
Real-time video AI analytics solutions help store managers gain insights related to the characteristics of their customer base, such as age, gender, and the store’s targeted audience.
By comprehending the demographics of the customers with video analysis, retailers can create a personalized shopping experience, tailored marketing strategies, and targeted marketing campaigns that resonate with particular customer segments to optimize marketing ROI and consumer engagement.
Anomaly Detection and Security Threats
AvidRetail uses AI-powered video analytics to provide real-time insights for retail stores to detect potential security breaches, such as loitering, vandalism, unattended bags or packages, theft, and other unusual behavior that may pose a threat to safety and security.
When Video AI captures suspicious activity on the scene, a quick alert is sent to security personnel reducing potential threats before they escalate.
Visitor Access Density Analysis
AvidRetail measures the volume of visitor access in multiple areas of the store at different times using video surveillance camera footage. This retail video analytics technique uses artificial intelligence to provide insights related to retail operations.
Video analytics for smart retail is capable of identifying the number of shoppers, the store’s rush hours, the most crowded sections, conversion rates of visitors to buyers, cashier queue performance, and the forecast number of visitors per day.
By analyzing foot traffic, peak hours, cashier queues, and visitor trends, store owners can easily boost customer experience, staff allocation, customer service, and store layouts.
Customer Health Compliance Detection
AvidRetail leverages video AI to monitor healthy and safety regulations in a particular setting within the store. Video analytics for smart retail analyzes clients’ behavior to spot instances of non-compliance with health standards, such as not wearing face masks, keeping social distancing, and appearing symptoms of sickness, especially in the context of the COVID-19 pandemic.
By flagging such instances, the retail video analytics ensure that visitors and staff adhere to health and safety guidelines, mitigating the risk of the spread of infectious diseases.