Department stores still manage their most important channel as if it were 1995.
Ecommerce represents ~20% of your sales and you have surgical-precision analytics.
The physical store represents ~80% and you manage it with checkout data.
No new hardware · On your existing cameras · GDPR compliant
of retail sales still happen in the physical store
Deloitte 2025, BCG 2026
drop in sales when checkouts get saturated
Deval, Totzek & Tucker · M&SOM 2021
less traffic on upper floors vs. ground floor in a typical department store
KSI benchmark
You manage one of the most complex operations in retail. With a still partial view of what happens inside.
Multiple floors, multiple categories, multiple possible routes, multiple brands coexisting in the same space. A department store isn't a store - it's several businesses operating under the same roof.
Entire floors below their potential - without anyone noticing
You don't know how traffic distributes across floors, which entrances customers actually use, or at what point they lose interest. Without that data you can't intervene - and you can't tell if the problem is assortment, layout or flow.
Electronics: ~88% interest, 6% conversion. Two different problems you treat the same way today
You can't tell if a category sells little because it receives little traffic - or because it converts poorly the traffic it already has. Different causes that require different solutions.
Fitting rooms and checkouts: sales lost without a trace
Saturation at these points destroys sales. You have no visibility into wait times, how many customers abandon, or how much money it represents per hour.
Deval, Totzek & Tucker · M&SOM 2021
This is what real traffic distribution looks like in a typical department store.
Floor 2
Home / Electronics
Floor 1
Women / Footwear
Ground floor
Cosmetics / Accessories
Illustrative data based on the KSI benchmark. Your store has its own distribution - which KSI makes visible.
Same company. Two completely different ways of managing it.
Ecommerce
~20% of sales- ✓Conversion rate by page, category and product
- ✓Full funnel: visit - interest - cart - checkout - purchase
- ✓Abandonment rate by stage
- ✓Time on page and scroll behavior
- ✓Segmentation by profile, behavior and source
- ✓A/B testing of layout, price and copy
- ✓Attribution of each sale to its cause
Physical store
~80% of sales- ✓Sales by category
- ✓Total entrance traffic
- ✓Global store conversion
- ✗How traffic distributes across floors
- ✗How much traffic and interest each category generates
- ✗How many abandon due to friction at fitting rooms or checkouts
- ✗Which categories convert poorly
For decades, that asymmetry was inevitable. Ecommerce was born measuring every customer step. The physical store had no way to do the same - behavior inside the space simply left no trace.
Until now.
KSI VISION turns every journey, every zone visited, every moment of friction into actionable data - on the cameras you already have.
For the first time, your physical store has the same visibility you've demanded from your ecommerce for years.
With the data you don't have today, these are the decisions you could make.
Every blind spot in the previous section isn't just missing information. It's a decision you can't make, a change you can't evaluate, an opportunity you can't quantify.
More complete decisions. Results that are harder to argue with.
In sales by solving the right bottleneck
By distinguishing low-traffic vs. low-conversion categories, teams could intervene with the right action in each case - not the same response for different problems.
Of fitting-room abandonment with real-time alerts
Detecting saturation before the customer abandons allowed redistributing staff at critical moments. Abandonment due to waiting dropped by 80%.
For the first time, you know if a layout change worked
Before scaling a space reorganization or reversing it, you have traffic, interest and conversion data that support or question it. Bets become decisions.
"We always knew what each category sold. With KSI we understood for the first time why some sold well and others didn't, even though they received the same traffic."
Complete visibility into how your store really works from the inside
This is what it looks like in practice.
Visitors today
12,230
3 active floors
Global conversion
17.4%
+0.9pp vs. 7d avg
Floors with low flow
1 of 3
Floor 2 · 21% of total
Active alerts
2
Footwear / Electronics
| Category | Traffic received | Interest | Conversion | Sales | Status |
|---|---|---|---|---|---|
| Women | 4,820 | 73% | 24% | $148K | Optimal |
| Electronics | 4,290 | 68% | 6% | $87K | Opportunity |
| Home | 980 | 61% | 31% | $42K | Needs visibility |
| Footwear | 2,140 | 55% | 16% | $63K | ⚠ Critical friction |
From security cameras to business intelligence by floor, category and brand. Without installing anything new.
We connect your existing cameras
KSI VISION works on any security camera you already have, regardless of brand - IP, analog, DVR, NVR. No hardware investment, no construction work, no operational disruption.
We map the real complexity of your store
We configure floors, entrances, categories, sections and brands according to the real structure of your space. Every square meter becomes measurable with the level of granularity your operation requires.
You make visible what you can't see today
Real-time dashboard with traffic distribution by floor and entrance, customer journey, conversion by category and friction metrics at fitting rooms and checkouts.
No installations · No technical visits · No operational disruption
Designed for the scale and complexity of a department store
Granularity down to brand and section
Every square meter evaluated by its real efficiency in converting the traffic it receives.
No new hardware
Works on any existing camera. No construction or operational impact.
Accuracy >99.9% in high-density environments
Validated in stores and time slots with very high visitor flow.
Integration with your BI stack
Compatible with Power BI, Tableau, Looker and other platforms your team already uses.
Privacy by design · GDPR compliant
No personal data captured or stored. Meets the most demanding enterprise privacy standards.
Deployment in days, not months
100% remote deployment in under a week. Without interrupting any store's operations.
Chosen by leading retailers worldwide
