SAN FRANCISCO – Aug, TBD, 2016 – Euclid Analytics, the leader in retail analytics and omni-channel engagement, today introduced Euclid Traffic, delivering best-in-class person counting technology coupled with a simple-to-use dashboard. Euclid Traffic enables retailers, malls and restaurants to compare traffic across locations, staff locations more effectively based on visitor flow, and evaluate the impact of marketing campaigns on traffic. When paired with Euclid’s Wi-Fi analytics and engagement platforms, Euclid Traffic delivers the most comprehensive customer behavior and insights solution in the industry.
With this launch, Euclid is announcing a strategic partnership with Xovis, a leading systems developer for people counting solutions. Currently being deployed across over 100 locations, this partnership expands Euclid’s hardware-agnostic software platform to support Xovis 3D person tracking and counting sensors to improve conversion rates and marketing effectiveness.
“We are excited about this partnership with Euclid Analytics, and support Euclid’s Traffic solution which delivers absolute visitor traffic count for retailers,” said David Studer, Xovis’ co-founder and Chief Executive Officer. “We are confident that the innovative combination of the Xovis product offering with Euclid’s powerful data science, Wi-Fi analytics and simple interface brings to market an enhanced customer behavior and actionable insights platform to drive personalization in the retail market.”
Xovis 3D person tracking and counting sensors support a wide range of retail analysis applications like retail, building management, public transport and security. The PC series portfolio provides the optimal sensor model for every area/height scenario, from a high-ceiling shopping mall to a low-ceiling store. The multisensor technology ensures limitless visibility beyond the range of just a single sensor, as well as the plug-and-play wizard and API, which allows for the fastest sensor setup experience.
“People counting lays the foundation for operational intelligence in brick-and-mortar stores. It provides retailers with basic customer traffic insights to help drive business forward in terms of staffing, conversion rates and marketing impact. Xovis has a proven track record of best-in-class services, from standard cost-effective traffic counting to complex individual full-store tracking,” said Brent Franson, CEO of Euclid Analytics. “Euclid Analytics is thrilled to partner with Xovis, integrating its innovative 3D person tracking and counting sensor technology with Euclid Traffic to deliver a compelling and cost-effective solution for retailers, malls and restaurants.”
About Euclid Analytics
Euclid Analytics delivers insights and personalization for the physical world. Hundreds of brands across retail, quick service restaurants and shopping malls use Euclid’s products to understand customer behavior in their physical locations to optimize marketing and operations. Whether through traffic counters or Wi-Fi solutions, Euclid makes it easy to collect, visualize and act on visitor insights. Euclid's growing network captures billions of measurements monthly across 65 countries and tens of thousands of locations, analyzing hundreds of millions of physical customer touch points yearly. Euclid is backed by leading venture capital firms Benchmark Capital and NEA, as well as Cox Enterprises and Groupe Arnault, the controlling shareholder of LVMH - Moët Hennessy Louis Vuitton, the world leader in luxury products.
Xovis is a Swiss high-tech company incorporated in 2008. Xovis develops and commercializes systems and sensors for people counting and tracking and similar applications. Xovis is the worldwide technology leader in passenger flow analysis and waiting time measurements in airports. More than 20 of the major airports worldwide trust in the Xovis 3D technology today. Xovis’ mission is to constantly improve its vision-based person tracking technology to be able to reach outstanding tracking results close to perfection, enabling install customers to solve the future challenges in flow analysis and steering, from displaying of predictive waiting times to the seamless tracking of traffic in various environments.