82%ofthepeoplewhowalkintoyourstoredon'tbuy.
Doyouknowwhy?

Most stores manage their business by looking only at sales. But this doesn't tell you how many opportunities you had, how many were wasted, or why.

KSI makes visible everything that happens before the customer leaves the store.

No new hardwareReal unique visitorsGDPR compliant
USD 0.0M

Sales lost to unmeasured inefficiencies, per store per year

A store that sells more is not a store that performs better

It may be getting more traffic but converting worse. Without real data on how many potential customers came in and how many bought, you can't know.

And if your counting system counts re-entries and staff - the data you have doesn't reflect reality. What follows is always the same.

Incorrect data

The system counts re-entries and staff. Inflated traffic, artificially low conversion.

Nobody trusts it

The team ignores reports and operates on gut feel.

Sunk cost with no impact

The investment in analytics generates no return.

Of those who enter, only 18% buy. Where does the rest drop out?

100%Enter the store
92%Interact with value proposition

How many bounce without looking at anything?

40%Request assistance or try on footwear

The most critical decision point and the least measured

26%Reach checkout

How many leave without buying after trying?

18%Buy

Percentages are illustrative and vary by store and format. KSI measures your real data.

82%don't buy.

And you don't know at which step you lost them. Without funnel visibility, you can't intervene at any point in the process.

See my conversion →

Sales aren't lost on the way out.
They're lost inside.

≈5%

Queues cost as much as raising prices

Visible queues reduce purchase probability by the equivalent of raising prices 5%. In footwear, where personalized service is key, waiting causes customers to abandon before receiving help.

Lu, Musalem, Olivares & Schilkrut · Management Science

No data

You don't know how many ask for help and leave

In footwear, conversion depends on the customer receiving attention. But without data on how many request help, how long they wait, and how many leave unattended, you can't optimize the process or staffing.

Operational issue identified in footwear chains

Broken data

The system counts what it shouldn't

Re-entries, staff, duplicate visits. Your traffic looks inflated, your conversion looks low. The team stops using the data. The analytics investment becomes a sunk cost with no real impact.

Operational issue identified in footwear chains

In ecommerce you measure everything. In your store, almost nothing.

80% of fashion sales still happen in physical stores. But strategic and operational decisions are made with POS data - when the sale was already won or lost.

What you had before
With KSI
Door count only
Real unique visitors, no duplicates or staff
Global conversion, unreliable
Real conversion per store
No customer bounce rate data
Bounce rate for customers who enter and leave quickly without engaging with the proposition
No dwell time
Dwell time and its relationship to purchase
No service saturation data
Wait time for assistance and abandonment due to lack of service
No visitor profile
Gender, groups, behavior type
No reliable cross-store comparison
Benchmarking across your entire network

Everything you need to truly understand how your store converts

Real traffic, no noise

Unique visitors without re-entry duplicates. Staff excluded automatically. Real conversion - not what you thought you had.

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Visible purchase funnel

% of customers bouncing without interacting. Dwell time and its relationship to purchase. Exact point where the sale drops.

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Service saturation and queues

Detect when customers are waiting for assistance and how many leave without being served. Act before losing the sale.

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Friction quantified in dollars

Estimated purchase abandonment. Lost sales ($) per friction point. Alerts when wait time exceeds acceptable threshold.

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Cross-store comparison

With clean, consistent data, identify which stores have real improvement potential and which are already well-calibrated.

Visitor profile

Segmentation by gender and groups (families, couples). Classification by behavior: transactional vs. dwell.

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From security cameras to business intelligence.

01

KSI integrates with the cameras you already have

IP, analog, DVR, NVR, VMS and any brand. KSI connects to the CCTV cameras already installed in your store, without disrupting operations and with remote installation.

02

AI transforms video into behavioral data

KSI's proprietary software uses the latest in AI to identify zones, paths, dwell time, service queues, conversion, and friction inside the store. It doesn't just measure how many people enter: it shows how they behave before buying - or abandoning.

03

Your team turns those insights into better decisions

Dashboards, reports, and alerts help you act in the moment and analyze and improve operations in the short and medium term: adjust staffing, redesign zones, improve the service process, and detect opportunities by section, category, or store.

Designed for footwear store chains

No installations or technical visits

Works on your current cameras. No sensors, no door scanners, no coordination per store. Deployment in under a week, 100% remote.

Data you trust again

Anonymous morphological re-identification: real unique visitors, staff excluded, no gaps from system failures. Accuracy >99.5%.

Privacy by design · GDPR compliant

No capture or storage of personal data. Operates on movement patterns, not identities. Validated in shopping center stores.

Scales with your network

From one store to hundreds. Performance comparison across locations in one dashboard. One system, the entire chain.

Leading retail companies already make decisions with KSI

FalabellaZARAMANGOGrupo AXOCalimod

Get a demo

How many sales is your store leaving on the table?

Schedule a demo and we'll show you your store's real data in under 48 hours.

Start understanding what really happens in your store.

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