Multi-site Reception Quality: 7 KPIs to Monitor in Real Time.
A customer who waits more than two minutes in front of a shelf or checkout without being assisted has a 40% chance of leaving the store without making a purchase. In-store queue management is therefore a direct driver of revenue, and video analytics now makes it possible to manage queues automatically, in real time, without collecting any biometric data.
Why is waiting at the shelf a measurable and preventable problem?
Waiting at the shelf isn’t limited to checkout lanes. It happens everywhere: in front of a poorly stocked display, in a line, or when a sales associate is busy. Until now, these situations were detected too late through customer feedback, on-site audits, or by reviewing camera footage after the fact.
The challenge is threefold:
- Detect wait times as soon as they form, not once they’ve already impacted the customer experience
- Alert the right employee at the right time, on their mobile device
- Measure recurrence to optimize schedules and merchandising
How video analytics detects waiting times in real time.
Detecting congestion by zone
A video analytics solution like CORE by XXII analyzes foot traffic in each area of the store. As soon as a group of customers remains stationary for longer than a configurable threshold (e.g., 90 seconds) in an area identified as critical, the system automatically triggers an alert.
No images are stored. No faces are recognized. Only anonymous silhouettes and location data are processed in accordance with the GDPR and CNIL recommendations.
Types of Alerts Generated
| Detected situation | Alert triggered | Recipient |
|---|---|---|
| Line > 3 people at the checkout | Additional checkout lane opened | Checkout manager |
| Delay in aisle > 90 seconds | Sales associate available in the area | Department manager |
| Checkout area overwhelmed | Immediate backup needed | Reception Manager |
Real-time sales associate alerts are sent via a mobile app or back-office display, depending on the existing infrastructure. No additional camera equipment is required if a CCTV system is already in place.
Tangible benefits for retail operations
Reduction in perceived wait time
Optimizing wait times starts with human responsiveness. An alert sent 30 seconds after a line forms allows staff to intervene before the customer reaches their patience threshold.
Performance data for management
Beyond one-time alerts, the solution generates historical data: which areas generate the longest wait times, at what times, and on which days. This data directly informs planning decisions.
Improved In-Store Customer Experience
The customer experience at the point of sale is directly correlated with the perception of time. A customer who sees a sales associate arrive before they even begin to get impatient associates this responsiveness with the quality of service—not with an automated system.
Which queue management tools should you choose?
There are several queue management tools on the market:
- Ticket systems (number-based): effective at checkout counters, not suitable for sales floors
- IoT sensors: high infrastructure costs, limited granularity
- AI video analytics: leverages existing cameras, covers the entire store, non-biometric
The key advantage of video analytics is its ability to operate on existing infrastructure, without rewiring, and with rapid deployment (just a few days for a pilot site).
In-Store Mobile Notifications: How It Works in Practice
The store associate mobile notification is the final link in the detection chain. It must be:
- Contextual: indicate the exact area and the number of people waiting
- Actionable: allow for one-click resolution
- Non-intrusive: not generate false alarms that desensitize staff
At XXII, alert thresholds are configurable by zone and by time of day, which helps prevent unnecessary alerts during off-peak hours.
Frequently Asked Questions
Does video analytics for queue management comply with the GDPR? Yes. Non-biometric solutions such as CORE by XXII process anonymous silhouettes and aggregated location data. No personally identifiable images are stored, in accordance with the requirements of the CNIL and the GDPR.
Do we need to install new cameras? No. CORE connects to the CCTV cameras already in place in the store. In most cases, no new equipment is required for setup.
How soon will we see the first results? The first measurements of wait times by zone are available within the first few days after deployment. Scheduling and merchandising optimization is guided by data from the first 4 weeks.
What types of stores can use this solution? The solution adapts to all formats: hypermarkets, specialty stores, shopping centers, and showrooms. It has been deployed in particular by multi-location retail chains in France.
Conclusion
Reducing wait times on the sales floor is no longer a matter of managerial goodwill—it’s a matter of real-time data. AI video analytics provides immediate detection, targeted alerts, and continuous monitoring—all without compromising customer privacy or requiring significant infrastructure investments.
→ Discover CORE by XXII and request a demo at your location.
