- Wait time
- ↓ 20–40%
- Walk-offs
- ↓ 15–30%
- Prediction accuracy
- ↑ 85–90%
Outcomes
Key Features
Real-Time Queue Length & Wait Prediction
Computer vision counts customers in each line and predicts wait times with 85-90% accuracy within a 2-minute window. ML models learn your store's patterns—rush hours, cashier speed variations, and seasonal peaks—for increasingly accurate forecasts.
Smart Alerts to Managers & Signage
Threshold-based alerts notify managers before queues get critical. Push notifications to mobile devices, overhead announcements, or digital signage directing customers to shorter lines. Configurable by time of day and staffing level.
Workforce Management Integration
Native connectors for Kronos, ADP, Legion, and other WFM platforms. Recommended lane openings based on predicted demand. Historical data feeds into scheduling optimization for smarter labor planning.
Anonymized Video Analytics
Queue counting without facial recognition. No customer identification, no PII storage. GDPR and CCPA compliant by design. Heat maps and flow analysis without compromising privacy.
Queuence vs. Traditional Methods
| Capability | Queuence | Manual Monitoring | Basic Counters |
|---|---|---|---|
| Queue Detection | Real-time CV | Visual estimation | Door counters only |
| Wait Prediction | ML-powered (85-90%) | Not available | Not available |
| Alert Speed | Instant | Delayed | None |
| Lane Recommendations | Automated | Manager judgment | None |
| WFM Integration | Native bi-directional | Manual entry | None |
| Privacy | Anonymized, no PII | N/A | N/A |
| Historical Analytics | Full dashboard | Anecdotal | Basic counts |
Technical Specifications
What it does
- Real-time queue length & wait prediction
- Alerts to managers & signage
- Staffing planner integration
- Anonymized video analytics
- Abandonment tracking and trend analysis
How it works
Detect
Cameras count customers in each queue
Predict
ML models forecast wait times with 85-90% accuracy
Alert
Managers notified before queues hit thresholds
Act
Open lanes, redirect customers, optimize flow
Optimize
Data feeds into staffing and scheduling
Detect
Cameras count customers in each queue
Predict
ML models forecast wait times with 85-90% accuracy
Alert
Managers notified before queues hit thresholds
Act
Open lanes, redirect customers, optimize flow
Optimize
Data feeds into staffing and scheduling
Built for High-Traffic Environments
Grocery & Supermarkets
Challenge
Peak hour rushes, inconsistent cashier availability, abandoned carts
Solution
Predictive lane opening, express lane routing, peak staffing alerts
Retail Stores
Challenge
Fitting room queues, checkout bottlenecks, holiday surges
Solution
Multi-zone queue tracking, fitting room alerts, seasonal pattern learning
Banks & Credit Unions
Challenge
Teller line management, lobby wait times, service level targets
Solution
Wait time displays, teller window recommendations, SLA tracking
Quick Service Restaurants
Challenge
Drive-thru timing, counter queues, order ahead integration
Solution
Drive-thru lane optimization, kitchen prep alerts, mobile order sync
What you get
- Predictors tuned to store pattern
- Alert destinations & SLA rules
- Staffing planner adapter
- KPI & incident review deck
- Weekly performance reports
Deployments & integrations
- Edge or camera-adjacent compute
- Low-bandwidth
- Store Wi-Fi OK
Security & governance
- Anonymized video analytics (no PII)
- RBAC with store ops/manager roles
- Audit logs for all alerts
- TLS 1.3 for all communications
Related
Products
Services
Industries
Frequently Asked Questions
Stop Losing Customers to Long Lines
Queuence customers reduce walk-offs by 15-30%
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