The prediction engine utilizes existing wireless infrastructure to analyze the end-to-end passenger journey.
Located in booth #E12, Aislelabs will proudly exhibit their Social WiFi and Flow platforms at Future Travel Experience in Las Vegas between September 6, 2017, and September 8, 2017. Aislelabs offers the most advanced, enterprise-grade platform to drive marketing and analysis for international airports as well as multinational shopping center developers, retail chains, sporting venues, and other global brands.
Aislelabs’ Flow technology allows users to visualize passenger flow from check-in to security to retail to gates and back again. Track first time vs. repeat visitors, customer loyalty, dwell times, walking paths, real-time heatmaps, and the complete conversion funnel.
Flow also sports a powerful prediction engine that integrates with flight data and operational systems including FIDS / AODB, sensors, traffic counting systems, cameras, and internal data warehouse to get a 360 view of airport operations, passenger flows, queue wait times, and processing throughputs. Forecast future delays based on current operations, real-time flight schedule, passenger volume, and external conditions like weather and traffic in order to proactively staff and resolve delays or disruptions. Track assets such as carts, wheelchairs, and mobile FIDS in real-time across the entire airport to plan for maximum efficiency and reduce the loss of your assets.
Social WiFi transforms airport’s guest WiFi into a powerful marketing, customer insight, and digital advertising platform. It helps provide one-click access for guests to use the WiFi network via socials such as Facebook and Twitter, along with email, giving airport’s access to guests’ opt-in for marketing and accessing key attributes like age, gender, and interests.
To learn more about how Social WiFi and Flow, visit https://www.aislelabs.com/industries/airports/. To learn more about Aislelabs contact them by phone at 1 (888) 765-3645 or by email media(at)aislelabs(dot)com.
