Most supermarkets don't measure their queues.
Or how long their customers wait.
Or the sales they lose because of it.
What appears in your report
Today's sales
$284.700
All clear.
Nothing more to see here.
What you're not measuring
Abandoned carts at checkout: 23
Estimated loss: $18,400
Max wait time exceeded: 14 times today
Customers who bounced after seeing the queue:
no data
When the queue grows, customers leave. Some before reaching the checkout, others just when they see it. That loss isn't recorded anywhere - and that's why nobody corrects it. KSI gives you real-time visibility of what's happening at your checkouts, alerts you before saturation destroys the sale and shows you exactly how much it's costing you.
No new hardware · Live in 48 hours · GDPR compliant
Your checkouts are managed by perception. Not by data.
When a checkout saturates, who detects it first? The cashier - who has to stop what they're doing to ask for help. Or the manager - who notices it while walking past. By then, the customer has already waited too long. Some have already left.
There's no objective visibility of how many customers are in line, how long they've been waiting, when a checkout enters saturation or how many sales were lost. Decisions are made by intuition, reactions come late and the impact is never measured.
Four problems that affect sales and operations every day
There's no way to know how many sales the queue is costing
Some customers see the line and walk out. Others reach the checkout and abandon their cart. It doesn't show up in any report because no one logged it - but it happens every day.
Service standards exist on paper, not in practice
There's a maximum wait time defined. But there's no way to know if it's being met or when it's broken. So there's nothing concrete to act on.
By the time staff react, customers have already left
To know a checkout has saturated, someone has to notice and report it. That takes time. By then, customers have already made their decision.
Fresh product stockouts cost ticket size and loyalty
When bread or prepared products run out, customers don't buy them and the ticket drops. If it happens often, they start going elsewhere. The stockout happened - nobody caught it in time.
Real-time visibility of your checkouts and fresh products. Without installing anything new.
KSI connects your existing cameras
KSI works with any security camera you already have - digital or analogue, any brand, any type. No new hardware, no construction, no disruption to operations. Remote installation and configuration in 48 hours.
KSI creates real-time visibility
KSI automatically detects active checkouts, customers in line and customers being served - without any integration with your checkout system. You see live how many customers are waiting at each checkout, how long they've been there and when a checkout enters saturation.
Alerts before you lose the sale
When the threshold you define is exceeded, KSI automatically alerts - via Teams, SMS, call or whatever channel you use - the store manager, regional manager or whoever is appropriate based on criticality. You act before the customer leaves.
No checkout system integration · No technical visits · Live in 48 hours
Real control of what happens at checkouts and fresh products, in real time with full history
Real-time checkout management
- Customers in line and being served per checkout, live
- Estimated wait time per checkout
- Automatic detection of active and inactive checkouts
- Detection of queues that extend beyond the designated area
- Configurable alerts by threshold, time and day
Alert system with escalation
- Moderate alert → store manager
- Critical alert → store manager + regional manager
- Maximum alert → entire defined chain of command
- Channels: Teams, SMS, call, email
- Dynamic thresholds by time of day, weekday and season
Operational analytics and history
- Demand and saturation patterns by time slot
- Optimal staffing based on data
- Quantification of lost sales from abandonment in $
- Correlation between wait time and NPS
- Predictive planning for checkout opening
Fresh product monitoring
- Continuous detection of shelf stock levels
- Automatic alerts for imminent stockouts
- Analysis of recurring stockout points
- Production planning adjustment with real data
Average wait
4.2 min
threshold: 5 min
Active checkouts
5 of 8
3 inactive
Active alerts
1
Checkout 3 - critical
Abandonments last hour
7
est. loss $5,340
Checkout 1
2
2 customers · 1.8 min
FreeCheckout 2
4
4 customers · 3.2 min
NormalCheckout 3
9
9 customers · 11 min
CriticalCheckout 4
5
5 customers · 4.8 min
AttentionCheckout 5
3
3 customers · 2.5 min
NormalCheckout 6
-
closed
InactiveCheckout 3 - 9 customers in queue · estimated wait: 11 min
3 abandonments in the last hour · estimated lost sales: $2,340
Less abandonment. Better NPS. Optimised staffing costs.
Recovered sales at checkout
By intervening before saturation destroys the sale, every alert acted on in time has a direct and measurable return.
Real service standards
For the first time you can define a maximum wait time, measure it in real operations and audit it. The service level stops being a goal - it becomes a guarantee.
Staff sized to demand
With historical saturation data by time slot, you eliminate understaffing during peak hours and overstaffing during quiet ones.
Protected average ticket
By monitoring fresh products in real time, you reduce the stockouts that lower the ticket and affect loyalty. Real case: +45% in bakery product sales in the first month of implementation.
Designed for the scale and complexity of a supermarket chain.
No integration with checkout systems
Detects active checkouts, queues and wait times directly through vision. Works with any system, including legacy systems.
Remote configuration in 48 hours
No technical visits, no construction, no disruption to operations. Completely remote installation and setup.
Alerts with automatic escalation
Three criticality levels, configurable channels, dynamic thresholds. The system knows who to notify, when and through which channel.
Privacy by design - GDPR compliant
Anonymous morphological re-identification. No capture or storage of personal data.
Accuracy +99.9%
Validated under conditions of high occlusion and dynamic flow - exactly the conditions of a supermarket checkout at peak hours.
Scales with your network
From one store to the entire chain. Centralised dashboard, per-store alerts and performance comparison across locations.
Chosen by leading supermarkets and retailers worldwide
