Cloud4Wi

Cloud4Wi
Contact Us
Website
Cloud4Wi
Booth # 4063
New York, NY
United States
Cloud4Wi empowers retailers to unlock the full potential of their physical stores. Our cloud-based platform enables retailers to accelerate data gathering on customers visiting their locations and create innovative, location-aware experiences. This approach not only enhances the shopping experience but also improves operational efficiency and drives business outcomes. Leading brands—including Adidas, Albertsons, Burger King, Campari Group, Diamonds International, Guess, Lacoste, Prada Group, and Valentino—rely on Cloud4Wi to drive performance.
Product & Service Categories:
Wi-Fi and Bluetooth Analytics, Customer Insights and Analytics, In-Store Marketing & Signage, Wi-Fi and Bluetooth Analytics, Customer Engagement

Products

WiFi Access

With Cloud4Wi enterprises can tailor every aspect of their WiFi to best suit their business and user needs. Offering multiple self-service onboarding options, users can effortlessly gain WiFi access. Users can access the WiFi network through the captive portal by providing certain information or agreeing to specific terms and conditions. They can also enjoy automatic and secure connections by downloading a Passpoint/ WPA2-Enterprise profile, eliminating the hassle of re-entering credentials for subsequent connections.

Real-Time Location Services

Cloud4Wi empowers enterprises to create innovative location-aware experiences based on WiFi user behaviors.

Enterprises can ensure frictionless in-app experiences for customers in their locations, even in areas with no or poor cellular coverage. They can also trigger in real-time messages through multiple channels (emails, SMSs, push notifications), and deliver contextually relevant in-app content. 

Location Analytics

Cloud4Wi enables enterprises to use on-site behavioral data for more informed decisions and increased understanding of their effectiveness. Using Cloud4Wi, enterprises can analyze the foot traffic to their locations and discover relevant trends. They can also analyze foot traffic distribution across different hours of the day and the days of the week, and across different areas within their locations.