RetailNext – The first in-store analytics platform expressly built to address the changing face of retail

Retail analytics is transforming the bricks and mortar and e-commerce landscapes.  From Amazon drones delivering your favorite cupcake the moment your sweet tooth starts to tingle to your local shop stocking the new GoPro just before you set up on a new adventure. Retail data analytics is the process of collecting retail data (Point of Sale or POS, stock and inventory, market trends, customer feedback) and transforming it into insights - trends, predictions, and other deliverables that help you make better business decisions for your retail business. When used correctly, retail analytics can help you acquire more customers; stock the best-selling products improve your vendor network and drive higher revenues and profits for your store.

RetailNext is the worldwide market leader and expert in 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 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 retailers the ability to identify opportunities for growth, execute changes, and measure success.

RetailNext measures more than one billion shopping trips per year by collecting data from nearly 100,000 sensors in retail stores and analyzing trillions of data points annually. Headquartered in San Jose, CA, RetailNext is a growing global brand operating in more than 40 countries.

A complete suite of products for the modern retailer

Traffic 2.0: Drive operational excellence with accurate traffic and conversion data, predicted traffic trends, and more. Eliminate points of friction through optimized labor scheduling, real-time task management, and remote visibility for field and corporate staff. Improve store performance with accurate foot traffic data. Optimize conversion, staff productivity, and more with real-time integration of foot traffic, point-of-sale, staffing data, and marketing calendars. Say goodbye to unwieldy Windows apps. Fast, easy-to-use, browser and mobile interfaces get you up and running in no time. The RetailNext system was built from the ground-up in partnership with leading retailers around the globe. Priced per camera per month. No hidden per-user fee, reporting fee, API fee, or anything else.

The traffic product is powered by Aurora, a cutting-edge IoT device designed and manufactured by RetailNext that provides the most accurate analytic data in the market today.

• AI-powered: Aurora uses a patented artificial intelligence algorithm based on deep learning to anonymously detect people with incredible accuracy.
• Real-time: Aurora detects people ten times each second to ensure maximum tracking accuracy, and transmits analytic data to the RetailNext cloud each second.
• Dashboards: Multiple dashboards for visibility into all your KPIs. Leverage AI for predicted traffic trends and automatic recommendations.
• Reports: PDF and XLS reports emailed right into your Inbox. Fully customizable format, with dozens of built-in templates.
• Integrated BI: See something interesting in a dashboard or report? Dive in via the Analytics page, an integrated business intelligence tool for slicing and dicing your data.
• Additional metrics: Add texture to your traffic counts with traffic direction, visit duration, pass-by traffic, repeat visit percentage, and more.
• Staff exclusion: Supply your associates with discreet wireless tags to exclude them from traffic counts, anonymously.
• Time machine: Remodeled your store but forgot to adjust the traffic line? No problem. Just adjust the line now and recalculate the correct historical counts with a single click. Like magic!

RetailNext stands behind the accuracy of their system. Every traffic sensor is manually audited for accuracy post-install, and their Aurora sensors allow you to easily verify the system accuracy yourself if you wish. Instant access to high-resolution recorded video to easily perform your own audits at your convenience, and at no extra cost. Get buy-in from store associates on the accuracy of your traffic and conversion data. Visualize and analyze your data with actionable dashboards, reports, and an integrated business intelligence tool. Or use the robust API to integrate traffic data into your data warehouse or other internal systems.

Video Security: Intuitive. Open. Built for retail. Modernize your asset protection with their cloud security system, and cut your investigation time down from days to just minutes. Keep capital costs to a minimum by pairing your existing IP or analog cameras with their cloud security system. No proprietary cameras or DVRs. Compatible with hundreds of IP cameras, analog cameras, and encoders from Axis, Vivotek, Hikvision, and others. View and manage your existing cameras side-by-side with the latest IP cameras, and even Aurora analytic sensors. Share your system budget with your operations, marketing, and merchandising teams. Easily search for specific transactions and view or export both receipt and video. Keep an eye on suspicious behavior via the integrated POS exception analysis tool. Integrate your point-of-sale data just once for your asset protection, traffic, and analytics needs. Out-of-the-box integrations available for popular cloud POS systems. Identify anomalous behavior at both store and employee levels via statistical analysis. Already have an XBR system? Enhance it with video capabilities via their video API.

Shopper Journey: It is the most powerful tool in the market for analyzing customer journeys. Auroras capture millions of data points a day for customer journeys in each of your stores, and can talk to each other to build a single view of each shopper journey. You can analyze this data right within the user interface or use the API for analysis by your data science team. Segment your shopper data to zero-in on the in-store behavior of specific shopper profiles. The data scientists can link up data from the RetailNext system with third-party data to create unique insights customized to your environment.

Alexei Agratchev | CEO & Co-Founder

"Our product was built to solve problems for the modern retailer, in partnership with our customers and retail experts within our organization."