RetailNext Retail Analytics Platform for In-Store Customer Behavior Insights
RetailNext is an AI-driven retail analytics platform that uses video and sensor data to provide detailed insights into in-store customer behavior, helping retailers optimize store layout, marketing, and operations.
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What is RetailNext?
RetailNext is a comprehensive retail analytics platform that leverages video analytics, sensor data, and AI to provide detailed insights into in-store customer behavior. It helps retailers understand foot traffic patterns, shopper engagement, and operational metrics to optimize store performance and enhance customer experience.
Key features of RetailNext
The platform offers real-time foot traffic counting, heat mapping, queue management, conversion tracking, and integration capabilities with POS and CRM systems. Its AI-powered analytics enable actionable insights for store layout optimization, marketing effectiveness, and staffing.
Foot Traffic Counting
Accurately measure the number of visitors entering and moving through the store.
Heat Mapping
Visualize customer movement patterns and dwell areas to optimize product placement.
Queue Management
Monitor checkout lines and wait times to improve customer satisfaction.
Conversion Tracking
Analyze the percentage of visitors who make purchases to evaluate store performance.
Integration with POS and CRM
Combine in-store analytics with sales and customer data for a holistic view.
Pros and cons of RetailNext
Pros
- Comprehensive in-store customer behavior insights
- Real-time analytics with actionable data
- Flexible integration with existing hardware and software
- Helps optimize store layout and marketing strategies
Cons
- Pricing is not transparent and requires direct consultation
- Primarily focused on physical retail, limited for purely online businesses
- Setup may require technical support for hardware installation
Who is using RetailNext
RetailNext pricing
Custom Pricing
Contact for pricing
Pricing tailored based on store size, number of locations, and feature requirements.
Plans and prices are as published by the vendor and can change. Check the official site before you buy. Open the pricing page (opens in a new tab)
Conclusion
RetailNext uses video analytics, sensor data and AI to provide insights into in-store customer behavior at physical retail locations. Foot traffic counting measures the number of visitors entering and moving through the store, and heat mapping shows customer movement patterns and dwell areas to guide product placement. Queue management monitors checkout lines and wait times, while conversion tracking analyzes the percentage of visitors who make purchases. Integration with POS and CRM systems combines these in-store analytics with sales and customer data.
The real-time analytics are meant to inform store layout optimization, marketing effectiveness and staffing. Its intended users are brick-and-mortar retailers, shopping mall operators and store operations managers. The focus on physical retail leaves it limited for purely online businesses. Setup may require technical support for hardware installation. Pricing is tailored based on store size, number of locations and feature requirements.
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