Retail · Computer Vision

Electronics

High tickets, personalized demos. Every minute of waiting costs a sale.

In electronics, customers compare and ask. KSI measures dwell by category, detects customers waiting for help and alerts on abandonment in high-ticket zones.

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Problem

What remains invisible today

Decisions based on intuition

Zones with high traffic and low conversion are not visible through checkout data alone.

Invisible lost conversion

The operation lacks visibility into where interest is lost before purchase.

Performance not comparable across stores

Store comparisons remain incomplete when traffic includes staff or duplicate visits.

Use cases

What KSI lets you do

Real conversion by zone and category

KSI measures which zones generate real interest and which only receive pass-through traffic.

Real-time operational alerts

KSI detects saturation, queue abandonment and staff gaps by category with actionable alerts.

Store benchmarking

Comparable metrics across stores in your network. Identify the practices of your top locations and replicate.

Impact

Business results you can actually see

+5-15% in zone conversion

More sales by acting on concrete friction before it becomes abandonment.

−20% queue abandonment

Detecting saturation before customers walk away.

Decisions replicable across the network

What works in one store, applied to the rest with comparable metrics.

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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