Stop losing sales to invisible friction.
Detect purchase abandonment in real time and act before the customer leaves.
Most stores discover their friction problems on Monday's report - when the lost revenue is already gone. KSI Vision turns the cameras you already have into a real-time signal: when a queue builds, when a checkpoint saturates, when service quality drops, the team knows immediately.
Every store loses sales to friction it cannot see.
A store with 2,000 daily visitors and 15% conversion looks healthy. But that average can hide two hours of saturation where conversion collapsed to 8% - quietly burning more than 20% of potential revenue.
Long queues, saturated checkouts, missing staff at the floor, products out of stock at peak hour. None of these show up in a traffic report. They show up in the numbers you never made.
Lost sales due to friction: typically 5-20% of potential revenue per store.
Four operational triggers behind most lost sales.
Purchase abandonment rarely has a single cause. These are the four patterns that show up most often in saturated stores - and the ones KSI Vision is designed to detect.
Queues at checkout
Abandonment accelerates sharply past 5-7 minutes of wait. By 12 minutes, a meaningful share of customers have already left without paying.
Store saturation
Beyond a traffic threshold, more visitors mean fewer sales. Aisles overcrowded, staff overwhelmed, customers walk out before reaching the product.
Saturated services
Counters, fitting rooms, customer service desks: when these saturate, the visit stops being a purchase and becomes a wait. Most leave.
Self-checkout bottlenecks
Self-service stations look efficient until one fails or queues build silently. They are the easiest abandonment to fix once measured.
Abandonment becomes visible when queues and saturation are measured together.
From queue analytics, KSI brings two signals that matter for abandonment: the live status of every service point and the saturation threshold where extra traffic stops becoming extra sales.
wait time where abandonment starts accelerating
sales at risk in fully saturated hours
Real-time visibility that triggers action - not just reports.
KSI Vision turns your existing CCTV cameras into a signal your operation can act on. No new hardware. No proprietary sensors.
Real-time abandonment alerts
Configurable thresholds for wait time, queue length and saturation. When a checkpoint crosses the line, the team gets notified - before a customer walks out.
Multi-camera queue detection
Automatic detection of POS, queues and queue length across multiple cameras. Wait times measured continuously per checkout point.
Store-saturation analysis
Direct measurement of how saturation impacts your conversion. Identify the threshold where more traffic stops translating into more sales.
Service-saturation analysis
Counters, fitting rooms, checkouts. Saturation measured per service area, with hourly distribution and SLA tracking.
Service-quality SLAs
Track wait time and service time against SLAs. Compare stores, surface outliers, escalate breaches automatically.
Self-checkout efficiency
Performance and queue behavior of self-service POS, with side-by-side comparison vs assisted checkouts.
The alert reaches the channel where the team already works.
The integration layer turns every risk signal into an operational action: KSI evaluates the rule, detects the threshold breach in real time and sends the alert to the channel you choose.
The cost of not seeing it.
Lost sales in fully-saturated hours
Revenue lost to mild, undetected saturation
Queue threshold where most customers walk out
Window to react - not Monday's report
People counters tell you how many visitors entered. They do not tell you why those visitors left without buying. Without intra-day, zone-level visibility, the abandonment is invisible - and uncorrectable.
Read the analysis
Saturation in retail: when more traffic destroys your conversion rate.
Real store data. Real saturation curves. A detailed look at what happens between the door and the checkout - and why most retailers never see it.
Read the article →