The most advanced in-store analytics solution available.
In-store analytics is a collection of systems working together to organize, analyze, and visualize massive amounts of diverse retail data.
RetailNext technology works through a series of steps
RetailNext integrates with the largest number of physical and digital data sources inside and around your store. Our technology uses existing infrastructure (such as analog and IP cameras or WLAN infrastructure from major providers) to make installation and activation a quick and easy, plug-and-play experience. RetailNext products are easy to use and cost efficient.
- Video Camera Feeds
- Point of Sale Systems
- Wi-Fi- and Bluetooth-enabled Mobile Devices
- Guest Wi-Fi-connected Devices
- Workforce Management Systems
- Staffing Schedules
- Promotional Calendars
- Weather Systems
- Third-party API applications
- And more …
The RetailNext analytics engine is designed to organize, analyze, and visualize massive volumes of diverse retail data. The software accumulates information from all your stores into a single place, in the cloud or on your store premises, providing a unified and instant view of your stores and shoppers, across your chain—all in real time.
- Integrates data from all locations worldwide
- Is scalable for any size enterprise
- Preserves critical bandwidth
- Provides real-time access to store results
- Actively monitors input sources for data integrity
- Is secure, highly available, and compliant with applicable common standards
- Offers on-cloud or on-premise deployment
RetailNext presents this information in a variety of useful formats, enabling you to discover and implement changes to improve the customer experience and commercial performance. The robust set of analysis tools and reports allows you to easily visualize data, identify trends, and compare them across any time period. And you can easily access all this information using a variety of intuitive interfaces:
- Web dashboard
- Mobile application
- Canned and customizable scheduled reports
- Analysis and data-mining tools
- Real-time alerts
- Raw data exports and comprehensive APIs
The potential for you to gain deep insights into your retail operations and shopper behaviors is as vast as the amount of data you can collect. As a retailer, you can benefit from a precise, fact-based understanding of how shoppers move around your stores. What’s more, you can optimize your store layouts, fixtures, staffing, and even product offerings based on what you’ve learned. As a CPG manufacturer, you can also use the insights to more thoroughly understand how your packaging, merchandizing, and marketing decisions affect the full path to purchase.
With RetailNext technology, you’re now empowered with insights that were never before available:
- Who are my customers?
- What are their demographics (male/female, age, etc.)?
- Are they new to my store?
- How often do they come back?
- Where are they coming from?
- What are their interests?
- How many people enter my stores?
- How many people did I capture from the overall passerby traffic?
- How many were unique visitors?
- Of the total store traffic, how many are shoppers vs. staff?
- How are my staffing levels compared to the traffic throughout the day?
- How are shoppers behaving while in the store?
- How do they interact with my merchandise?
- Where do they go (which departments, aisles, display, etc.)?
- In which order do they visit these areas?
- Where do they actually stop to engage?
- What captures their attention?
- What do they end up buying?
- How do layout changes or product location impact my store performance?
- How does my staff contribute to store success?
- How are my staffing levels compared to my needs?
- What is the productivity of my staff?
- Where is my staff spending their time?
- How is their interaction with the shoppers?
- How does it impact my store performance?
- How are my stores performing against key performance indicators (KPIs)?
- How are my comparable sales, conversion, average ticket value, etc?
- How do my staffing and my shopper base composition impact my KPI?
- Are there other external factors I need to consider, like weather or available potential customers walking by the door?
- What Is the Value of In-store Analytics?
The value of in-store analytics is in the deep insights it provides into your retail operations and shopper behaviors. You can then use those insights to implement changes in your operations to improve commercial performance and the overall customer experience.
- Who Uses RetailNext In-store Analytics?
Global retailers, shopping centers, and even manufacturers use in-store analytics to collect and analyze massive volumes of data on in-store shopping behavior and overall store performance. Using RetailNext, they can visualize it all concisely and easily through various methods, including the RetailNext mobile application, computer, report exports, and more.
RetailNext has teamed up technology experts with professionals who have had years of experience at top-tier retailers and CPG companies such as Saks Fifth Avenue, Tiffany & Co., Bloomingdales, Macys, Lancôme, Polo Ralph Lauren, Tommy Hilfiger, L’Oreal, Unilever, and Colgate. Together, our team has engineered the most advanced and comprehensive in-store analytics platform that is able to address the unique needs of retailers and manufacturers around the world.
- How Is RetailNext Different?
Robust and scalable, the patented RetailNext platform uses best-in-class video analytics, Wi-Fi detection of mobile devices (including Bluetooth), data from point-of-sale systems, and many other sources to inform retailers about how customers engage with their stores. This comprehensive and highly versatile platform easily integrates with the largest number of store data sources, including promotional calendars, staffing systems, and even weather services to analyze how numerous factors impact shopping behavior. It gives retailers the ability to identify opportunities for growth, execute change, and measure success.
With its powerful APIs, RetailNext technology connects all of your retail data sources into one platform, enabling you to establish, measure, and report on true omnichannel KPIs. RetailNext can also feed valuable store and customer data into your personalization and marketing automation engines providing you with a full 360º view of customer data.