Overview
What is RetailNext?
RetailNext provides retail analytics for brick-and-mortar retail, delivering real-time analytics that enable retailers and manufacturers to collect, analyze, and visualize in-store data. The solution uses video analytics, Wi-Fi detection, on-shelf sensors, and data from point-of-sale systems and other sources to…
Recent Reviews
Leaving a review helps other professionals like you evaluate Retail Analytics Software
Be the first one in your network to review RetailNext, and make your voice heard!
Get StartedPricing
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Would you like us to let the vendor know that you want pricing?
17 people also want pricing
Alternatives Pricing
Product Details
- About
- Tech Details
What is RetailNext?
RetailNext provides retail analytics for brick-and-mortar retail, delivering real-time analytics that enable retailers and manufacturers to collect, analyze, and visualize in-store data. The solution uses video analytics, Wi-Fi detection, on-shelf sensors, and data from point-of-sale systems and other sources to automatically inform retailers about how people engage with their stores. The RetailNext platform integrates with promotional calendars, staffing systems, and even weather services to analyze how internal and external factors impact customer shopping patterns – providing retailers the ability to identify opportunities for growth, execute changes, and measure success.
The RetailNext solution combines the browser-accessed SaaS Traffic 2.0, accessible via browsers and mobile devices, which is powered by Aurora, the company's IoT device designed and manufactured by RetailNext. The vendor states Aurora detects people ten times each second to ensure maximum tracking accuracy, and transmits analytic data to the RetailNext cloud each second. Beyond traffic, the platform conducts staff exclusion, video verification, and additional KPIs like repeat visits, specifically:
The RetailNext solution combines the browser-accessed SaaS Traffic 2.0, accessible via browsers and mobile devices, which is powered by Aurora, the company's IoT device designed and manufactured by RetailNext. The vendor states Aurora detects people ten times each second to ensure maximum tracking accuracy, and transmits analytic data to the RetailNext cloud each second. Beyond traffic, the platform conducts staff exclusion, video verification, and additional KPIs like repeat visits, specifically:
- Additional metrics to add texture to traffic counts with traffic direction, visit duration, pass-by traffic, and repeat visit percentage.
- Staff exclusion: Supply associates with discreet wireless tags to exclude them from traffic counts, anonymously.
- Time machine: For instances such as remodeling a store but forgetting to adjust the traffic line, the user can just adjust the line now and recalculate the correct historical counts with a single click.
Customer Journey
Auroras capture millions of data points a day for customer journeys in stores, and can talk to each other to build a single view of each shopper journey. The user can analyze this data right within the user interface or use the API for analysis by a data science team.
- Interior traffic & dwells: Get visibility into shopper traffic and dwell patterns within a store.
- Zone traversal: Understand how shoppers move through the various areas of your store as part of their journey.
- Animations: Filter specific visits of interest and view animations of the entire customer journey.
- Kinetic maps: View heatmaps of areas of high and low shopper activity.
- Segment shopper data to zero-in on the in-store behavior of specific shopper profiles.
- Purchaser vs non-purchaser: Analyze shopper journeys by segmenting shoppers into purchasers and non-purchasers.
- Shopper vs staff: Get insights into when, where, and how long shoppers interact with associates, and how this impacts purchase behavior.
- Demographics: The AI-based demographics engine anonymously segments shoppers by gender and age group.
Video Surveillance
RetailNext can also help keep capital costs to a minimum by pairing an existing IP or analog cameras with its cloud security system. And using its PoS integration, users can search for specific transactions and view or export both receipt and video, and keep an eye on suspicious behavior via the integrated POS exception analysis tool. Other advantages, as described by the vendor:
- No lock-in: No proprietary cameras or DVRs. Compatible with hundreds of IP cameras, analog cameras, and encoders from Axis, Vivotek, and Hikvision.
- Single pane of glass: View and manage existing cameras side-by-side with the latest IP cameras, and even Aurora analytic sensors.
- Saved views: Define, save, and share multi-camera grids.
- Video export: Export video and receive as a shareable email link.
- Digital signature: Export tamper-proof video for use as evidence with one-click addition of an invisible digital signature.
RetailNext Videos
Traffic 2.0, by RetailNext
Aurora, by RetailNext
RetailNext Technical Details
Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Unspecified |
Mobile Application | Apple iOS, Android |