Computer Vision · Retail

Your stores already
have eyes.
We give them a brain.

A computer vision layer that runs on the cameras you already have turning security footage into shelf insights, planogram compliance (how well products match their intended arrangement), and queue analytics, without buying a single new device.

Most retail chains have hundreds of cameras across their stores, all pointed at the floor, all recording footage that nobody watches. That footage contains valuable information: empty shelves, misplaced products, queue lengths, and traffic patterns. We built a system that reads it all without new hardware, without disrupting store operations, and without asking you to replace anything.

Empty shelves cost sales.
You just can't see them in time.

Store managers can't be on every aisle at once. Audits happen monthly, not in real time. By the time anyone notices that a best-selling product has been out of stock for three days, the customer has already gone somewhere else and the sales data only confirms what already happened.

8%

Out-of-stock rate

The industry average for empty retail shelves at any given time invisible until the next manual check.

3d

Average lag

The average time between a product going out of stock and the store team finding out.

0

Camera intelligence

Existing store cameras record footage nobody watches. The data sits unused.

4x

Lost sales

Indonesian shoppers who find an empty shelf are four times more likely to switch stores than wait for a restock.

Five steps.
Three of them always-on.

Store ops and merchandising stay in control of priorities, thresholds, and action plans. The system handles the watching every aisle, every camera, all day and surfaces only what needs human attention.

01
Connect
Existing store cameras connected. No new hardware, no installation downtime.
02
⟳ always-on
Watch
Every aisle scanned continuously for stock-outs, products out of place versus the planned layout, and queue length.
03
⟳ always-on
Detect
Empty shelves, misplaced products, and long queues identified in real time.
04
⟳ always-on
Alert
Store staff notified on the floor before customers notice the gap.
05
Report
Store managers and HQ see live compliance, traffic, and operational dashboards.

No new cameras. No new lines on the equipment budget. Just a brain for the eyes you already have.

What your team actually sees.

Live dashboard, camera feeds, stock-out alerts, and compliance scores across all stores.

Empty shelves caught
before customers see them.

Pillar
Before
After
Stock-out detection
3-day lag
Real-time alerts
Planogram compliance
Monthly audits
Continuous monitoring
Hardware cost
New cameras needed
Uses existing cameras
Queue management
Reactive only
Predictive alerts
  • 3% sales recovery

    Catching stock-outs in real time recovers sales that used to walk out the door with the customer.

  • 95% planogram compliance

    Continuous monitoring replaces monthly audits. Misplaced products are corrected the same day.

  • Zero new hardware

    Runs on the cameras already installed. No procurement cycle, no installation downtime, no capital expense.

  • Live queue intelligence

    Open another counter before the line gets long. Customer experience improves without extra staffing.

eyes on.

Pick a store.
We'll show you what your cameras already see.

A two-week pilot in one store. We connect to your existing cameras, run the system quietly in the background, and report back on stock-outs, layout mismatches, and queue patterns we found before you decide to roll out further.

Two-week pilot

Single-store assessment

One store, two weeks, no commitment. We connect to your existing cameras and report on what we found with actual photos.

Computer Vision · Retail

Your stores already
have eyes.
We give them a brain.

A computer vision layer that runs on the cameras you already have turning security footage into shelf insights, planogram compliance (how well products match their intended arrangement), and queue analytics, without buying a single new device.

Most retail chains have hundreds of cameras across their stores, all pointed at the floor, all recording footage that nobody watches. That footage contains valuable information: empty shelves, misplaced products, queue lengths, and traffic patterns. We built a system that reads it all without new hardware, without disrupting store operations, and without asking you to replace anything.

Empty shelves cost sales.
You just can't see them in time.

Store managers can't be on every aisle at once. Audits happen monthly, not in real time. By the time anyone notices that a best-selling product has been out of stock for three days, the customer has already gone somewhere else and the sales data only confirms what already happened.

8%

Out-of-stock rate

The industry average for empty retail shelves at any given time invisible until the next manual check.

3d

Average lag

The average time between a product going out of stock and the store team finding out.

0

Camera intelligence

Existing store cameras record footage nobody watches. The data sits unused.

4x

Lost sales

Indonesian shoppers who find an empty shelf are four times more likely to switch stores than wait for a restock.

Five steps.
Three of them always-on.

Store ops and merchandising stay in control of priorities, thresholds, and action plans. The system handles the watching every aisle, every camera, all day and surfaces only what needs human attention.

Hover a step to see it in action
Connect , linking existing store cameras Watch , continuous aisle scanning for stock-outs Detect , identifying empty shelves and misplaced products Alert , notifying store staff in real time Report , live compliance and traffic dashboards
01
Connect
Existing store cameras connected. No new hardware, no installation downtime.
02
⟳ always-on
Watch
Every aisle scanned continuously for stock-outs, products out of place versus the planned layout, and queue length.
03
⟳ always-on
Detect
Empty shelves, misplaced products, and long queues identified in real time.
04
⟳ always-on
Alert
Store staff notified on the floor before customers notice the gap.
05
Report
Store managers and HQ see live compliance, traffic, and operational dashboards.

No new cameras. No new lines on the equipment budget. Just a brain for the eyes you already have.

What your team actually sees.

Live dashboard , camera feeds, stock-out alerts, and compliance scores across all stores.

Computer Vision dashboard showing live store camera feeds, shelf stock-out alerts, and planogram compliance scores

Empty shelves caught
before customers see them.

Pillar
Before
After
Stock-out detection
3-day lag
Real-time alerts
Planogram compliance
Monthly audits
Continuous monitoring
Hardware cost
New cameras needed
Uses existing cameras
Queue management
Reactive only
Predictive alerts
  • 3% sales recovery

    Catching stock-outs in real time recovers sales that used to walk out the door with the customer.

  • 95% planogram compliance

    Continuous monitoring replaces monthly audits. Misplaced products are corrected the same day.

  • Zero new hardware

    Runs on the cameras already installed. No procurement cycle, no installation downtime, no capital expense.

  • Live queue intelligence

    Open another counter before the line gets long. Customer experience improves without extra staffing.

eyes on.

Pick a store.
We'll show you what your cameras already see.

A two-week pilot in one store. We connect to your existing cameras, run the system quietly in the background, and report back on stock-outs, layout mismatches, and queue patterns we found before you decide to roll out further.

Two-week pilot

Single-store assessment

One store, two weeks, no commitment. We connect to your existing cameras and report on what we found with actual photos.