Proactive Problem Solving Powered by Predictive Analytics in Real-Time
Data-driven decisions powered by real-time analytics and predictive insights—reduce costs while optimizing revenue opportunities.
Transform Real-Time Feedback into Predictive Power
With 130MM+ data points collected and analyzed yearly and alerts sent out every 5 seconds, we spot trends for teams to tackle before they become problems.
Proactive Resource Allocation
Optimize staff schedules and inventory by predicting high-traffic times using real-time data.
Alerts Anywhere, Anytime
Instant alerts—via email, SMS, or push notification—flag customer satisfaction changes, enabling rapid response.
Predictive Analytics
Predict and prevent operational issues with AI-driven heat maps, automated alerts, and sentiment analytics—enabling proactive decision-making.
Location & Context Mapping
Pinpoint exactly when and where feedback occurs for targeted action.
Gain Immediate Insight Into
Real-Time Customer Perceptions
Noise Levels
Monitor ambient noise in real time to identify disruptions, optimize crowd control, and enhance guest comfort—ensuring environments meet desired standards.
- Detect and resolve noise spikes (e.g., overcrowding, equipment issues) before they impact customer experience.
- Correlate noise trends with dwell time or sales data to adjust staff schedules or layout designs.
Sentiment Analysis
Analyze live feedback (surveys, social mentions, etc.) to gauge customer emotions and prioritize urgent interventions.
- Flag negative sentiment surges (e.g., cleanliness complaints) for immediate service recovery.
- Identify positive sentiment drivers to replicate successes across locations.
People Movement
Track foot traffic patterns in real time to optimize staffing, reduce bottlenecks, and maximize space utilization.
- Predict and mitigate congestion (e.g., entry lines, checkout waits) with dynamic resource allocation.
- Validate layout or promotional effectiveness by measuring zone-specific dwell times.
Environmental Factors
Monitor conditions like temperature, air quality, or lighting to maintain comfort and operational efficiency.
- Trigger maintenance alerts for suboptimal conditions (e.g., HVAC failures) before complaints arise.
- Cross-reference environmental data with sales or satisfaction scores to identify improvement opportunities.
How Real-Time Data Boosts Your Competitive Edge
Predictive Data at Work
