Computer Vision :
AI Video Analytics
Powerful AI Video Analytics Features
NymbleUp’s advanced video analytics deliver actionable insights to optimize customer experience and operational efficiency.
Advanced visitor counting, demographic insights, and movement pattern analysis
to understand customer flow, visitor demographics, and optimize store layout and staffing.
Real-time monitoring of zone occupancy and customer dwell time to identify engagement hot spots and potential congestion areas.
Automated tracking of staff-to-customer ratios ensuring optimal service levels during peak hours and efficient resource allocation.
AI powered detection for service issues like long queues, idle service points, or SOP deviations with instant notifications.
Intuitive interface displaying all key
performance metrics in real-time with custom reporting and location
comparison capabilities.
Traffic & Footfall Analytics
Unlock a deeper understanding of how customers engage with your restaurant from the moment they approach.
Passerby to Footfall Conversion
Measure the effectiveness of your storefront appeal by tracking how many people passing by actually step inside. This helps evaluate window displays, signage, and location visibility.
Footfall to Sales Conversion
Analyze how many walk-ins convert into paying customers. This metric reflects store layout efficiency, promotional success, and staff interaction quality.
Zone-Specific Customer Movement
Heatmaps and movement tracking reveal which areas attract the most or least attention, enabling smarter decisions around product placement, signage, or space redesign.
Demographic Insights (Age & Gender)
Gain visibility into the age and gender of your customer base, helping you refine menu options, promotions, and ambience to better resonate with your target audience.
Occupancy & Dwell Time
Understand how guests utilize and experience different areas within your restaurant.
Section-Level Engagement
Monitor guest time spent in specific zones—like dining areas, waiting zones, or pickup counters—to understand flow and engagement.
Dwell Time Trends
Identify patterns in how long customers spend in different areas. Longer dwell times in some zones can indicate satisfaction, while unusually short stays may signal issues needing attention.
Optimize Table Turnover
Use dwell time insights to manage seating strategies—improving efficiency and waitlist handling without sacrificing the guest experience.
Customer-to-Staff Ratio
Balance service levels by aligning staff availability with real-time guest volume
Real-Time Monitoring
Keep track of customer volume versus active staff in every area to ensure coverage is adequate and balanced.
Smart Scheduling
Predict busy hours and staff accordingly using historical footfall data—helping avoid over- or under-staffing.
Service Quality Assurance
Maintain consistent service standards by ensuring staff is deployed where needed most, reducing guest wait times and improving satisfaction.
Compliance & Operational Alerts
Automate operational oversight and maintain high service standards with real-time alerts.
Queue Management Alerts
Instantly notify staff when lines are getting too long, so they can react before customer satisfaction is affected.
SOP Compliance Tracking
Monitor whether operational procedures—like keeping counters manned, maintaining cleanliness, or greeting customers—are being consistently followed.
Anomaly Detection
Get alerted to unexpected patterns, such as a sudden drop in staff activity, unusually high wait times, or unauthorized congestion in sensitive areas.
Comprehensive Analytics Dashboard
A single, unified dashboard for managing and optimizing store performance.
Live Metrics Overview: View real-time insights into key metrics like traffic, occupancy, staff activity, and customer service quality—all from one place.
Customizable Reports
Generate in-depth reports filtered by time range, performance metric, or specific locations—perfect for reviews, planning, and audits.
Multi-Store Benchmarking
Compare data across multiple outlets to identify top-performing stores, replicate best practices, and support underperforming locations.
Demographic Breakdown
Analyze your data through the lens of customer demographics to assess campaign impact, customer alignment, and experience tailoring.