Gander Mountain, The Art of Shaving and Other Retailers Enlist RetailNext for Critical In-Store Shopper Insights
Now More Than 60 Chains Employ Applied Big Data for Brick-and-Mortar Using RetailNext
NEW YORK, Jan. 14, 2013 /PRNewswire/ -- Major retail brands are embracing comprehensive in-store analytics, choosing to collect more complete, actionable, and integrated insights than has been possible with the limited point products previously available. Illustrating this trend, in-store analytics leader RetailNext today announced that it has added 20 brand names to its roster, raising its customer total to more than 60 and the number of new stores committed to using its technology in 2013 to 5,000. The Company issued the news from the NRF Big Show, Booth #2425, where it is demonstrating new in-store analytics innovations.
Gander Mountain, Gordmans, The Art of Shaving, Cache, and many other retail chains have recently adopted RetailNext's comprehensive in-store analytics technology to glean shopper insights akin to that of e-commerce.
"RetailNext has quickly become a mission-critical tool for us. Insights from RetailNext are helping us detect and execute on opportunities to make changes that can lead to increased sales and bottom line improvement," said Chris Schindler, director of operations, Gander Mountain. "We use the platform for a variety of applications like staffing optimization by store, measurement of marketing programs, and even evaluating the impact of remodeled store departments on the key metrics that we know lead to sales."
"For too long, retailers have been unable to measure, test and optimize stores in the same way they could with their e-commerce sites. But recent advances in technology are changing that, and innovative brands are poised to reap the rewards," said Alexei Agratchev, CEO of RetailNext. "Not only are more chains in more segments adopting RetailNext, but our customers continue to deepen their use of analytics beyond basic counting of traffic to stores. This week we're showing new features for mobile, POS, video, and reporting that help them discover new ways to increase sales, reduce theft, and improve the bottom line."
RetailNext is the first real-time in-store analytics platform that enables retailers to collect and correlate data from a broad set of sources including video cameras, point-of-sale (POS) systems, Wi-Fi devices, time and attendance applications, and others. The RetailNext platform presents in-store metrics in a variety of easy-to-use formats including a flexible web console, customizable reports, and real-time alerts. Merchants have applied RetailNext technology and insights to increase same-store sales, reduce theft, eliminate unnecessary costs, and improve the customer experience.
RetailNext tracks more than 400 million shoppers per year by collecting data from more than 30,000 sensors in retail stores and analyzing trillions of data points each year.
RetailNext is the leader in Applied Big Data for brick-and-mortar retail, delivering real-time analytics that enable retailers and manufacturers to monitor, collect, analyze, and visualize in-store data. The patent-pending solution uses best-in-class 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 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 is a growing global brand operating in more than 20 countries. For more information, call +1-888-609-5877.
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