RetailNext Launches Version 3.5 of Its In-Store Analytics and Loss Prevention Platform Applied Big Data Solution Offers 75% More Supported Video Cameras, Better Scalability and Higher Uptime for Individual Store Monitoring
MONTEREY, Calif., Oct. 3, 2012 /PRNewswire/ -- RetailNext, the leader in comprehensive in-store analytics, today announced the availability of RetailNext 3.5, which provides retail brands and manufacturers with greatly increased camera model support, more efficient and scalable video processing, and a high-availability architecture. The company issued the news from its annual customer summit, where retail executives and store operations leaders gathered to share best practices and discuss future technology advancements for Applied Big Data in retail stores.
Highlights of the innovations revealed in RetailNext 3.5 include:
Broadest In-Store Camera Support – RetailNext now boasts compatibility with more than 350 video camera models commonly used in retail, and with nearly all analog camera models via supported encoders . Retail brands and manufacturers can now leverage all of their existing in-store camera investments and select new cameras that are most suited to their environmental, pricing, and other needs.
More Scalable and Efficient Video Processing – New video processing advancements make it possible for RetailNext 3.5 to process and store video more efficiently. This enhanced video capability lets retailers meet their video processing and storage needs with a lower hardware investment. It also gives retailers more flexibility to grow video usage by enabling them to:
- Include more real-time video streams on a given server
- Utilize a greater number of advanced capabilities such as heat mapping or dwell analytics on a single server
- Store higher definition video or store more days of video at a given definition
Fully Redundant Data Storage – To maximize data availability, all RetailNext appliances now utilize RAID (redundant array of independent disks) architecture. Due to the highly intensive nature of real-time video processing and storage, hard disks are the most vulnerable component of any video-based solution. With the new RetailNext RAID architecture, retailers will experience instant rollover in the rare event of hard disk failure, enabling the continued collection of irreplaceable in-store data as well as the convenience and cost savings of replacing such servers on a non-emergency basis.
RetailNext is the leader in Applied Big Data for offline retail, delivering real-time analytics that enable retailers and manufacturers to monitor, collect, analyze, and visualize in-store data. The company uses best-in-class video analytics, 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 highly scalable RetailNext platform easily integrates with promotional calendars, staffing systems, and even weather services to analyze how internal and external factors impact customer shopping patterns – providing store operations executives with the ability to identify opportunities for growth, execute changes, and measure success.
Headquartered in San Jose, CA, RetailNext tracks more than 400 million shoppers per year by collecting data from more than 30,000 sensors in retail stores and capturing and analyzing trillions of data points each year. RetailNext is a growing global brand operating in more than 20 countries. For more information, call +1-888-609-5877.