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RetailNext

RetailNext is an AI-powered retail analytics platform that provides in-store intelligence to over 600 retailers in 100+ countries. It offers insights on shopper behavior, traffic analytics, asset protection, and more, helping stores optimize operations and improve customer experiences.

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RetailNext is a leading AI retail analytics platform designed to deliver comprehensive in-store intelligence to retailers worldwide. With a presence in over 100 countries and trusted by more than 600 retailers, RetailNext provides a robust suite of tools to analyze shopper behavior, optimize store operations, and enhance customer experiences.

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The platform offers traffic analytics that accurately counts shoppers, connects traffic data to transactions for true conversion insights, and provides AI-driven staffing recommendations. RetailNext's asset protection features help reduce shrinkage and protect margins by identifying anomalous shopper behavior patterns and linking video data to events.

RetailNext's Pulse AI delivers actionable insights tailored to various roles within a retail organization, from store managers to executives. It offers proactive coaching and advice based on store data, ensuring teams focus on the most impactful areas.

RetailNext integrates seamlessly with existing POS, workforce management, and BI tools, allowing traffic and conversion data to flow into systems already used for scheduling and reporting. The platform is built on the Aurora® sensor, which provides 95-99% accurate people counting and is manually audited for accuracy.

RetailNext's pricing model includes full platform access, software licensing, and updates, with additional costs for installation and professional services. The platform supports GDPR compliance and ensures customer privacy by measuring shoppers anonymously.

RetailNext is ideal for retailers looking to make data-driven decisions, optimize staffing, and improve conversion rates. Its comprehensive analytics capabilities provide valuable insights that drive operational excellence and enhance the overall shopping experience.

  • CategoryBusiness Intelligence
  • Pricing ModelSubscription
  • DeploymentCloud
  • PlatformsWeb

  • AI-powered foot traffic analytics

  • 95-99% accurate people counting

  • AI-driven staffing recommendations

  • POS and BI tool integration

  • GDPR compliance and privacy controls

  • Real-time dashboards and predictions

  • Video-linked event data for asset protection

  • Cross-store benchmarking

  1. Configure: Set up Aurora sensors and integrate with POS

  2. Analyze: Use real-time dashboards for insights

  3. Optimize: Implement AI-driven staffing recommendations

  4. Improve: Track conversion rates and operational bottlenecks

  • Traffic Analytics
  • Asset Protection
  • Conversion Rate Optimization
  • Staffing Efficiency
  • Department-Level Insights

RetailNext Reviews

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