SquintPRO · Retail chains

AI video analytics for retail chains: one approach for every branch in Saudi Arabia

AI video analytics for retail chains is a head-office decision, not a store gadget. SquintPRO, the video analytics platform Interkey builds and supports in Riyadh, watches the CCTV a Saudi chain's branches already have for the events it cares about, such as a queue at the counters or a person in the stockroom after hours, and turns each into an alert with video, under the same definitions in every branch.

Orientation

At a glance

The page in one table, for the reader with five minutes.

What it is
SquintPRO, Interkey's own video analytics platform, for a chain of stores
What it watches for
Footfall, store readiness, queues, after-hours presence, restricted areas, vehicles, crowding
Cameras
Your branch CCTV over RTSP or ONVIF, on views the survey qualifies
Where it runs
On-premise on servers you control, or in the cloud with 3, 6 or 12 months' retention
How it is licensed
Per camera stream, with unlimited use cases on a licensed stream; by quote
What it does not do
Identify shoppers or staff, use face recognition, or decide that a theft took place
What Interkey does
Survey by branch format, pilot, integration, rollout and support from Riyadh

Why a chain needs more than a counter in each store

One store can be run by its manager walking the floor; a chain cannot. Regional managers visit every few weeks and loss prevention learns of events days later. Retail chains CCTV analytics changes what those recordings are for: software watches each stream and raises an alert when a defined condition occurs in a defined zone, during the hours you set, the same way in every branch, so a queue alert in Jeddah means what it means in Riyadh.

Footfall, dwell time and queue length are covered on our retail video analytics page. This page covers back of house, loss events and a chain-wide rollout. For the platform as a whole, see SquintPRO.

AI video analytics for retail chains: what SquintPRO watches, branch by branch

Start with two or three; the survey establishes what each camera can see.

Retail chain use cases, where each applies in the chain, and what it needs from the branch
Use caseWhere in the chainWhat it needs from the branch
FootfallStore entrances, mall-facing doorsA camera that sees the whole entrance
Store readiness at openingCashier zone, entrance, emergency exit routesEach check defined per format and tested on your footage
Queues at countersCheckouts, service desks, fitting roomsA view along the queue line; a threshold per time band
After-hours and back-of-house presenceShop floor, cash office, stockroom, staff-only corridorsZones and the closed hours for each branch
Vehicles at the loading bayDelivery yard, service entranceThe delivery windows; cameras placed for plates if wanted
Finding footage after a lossAny connected cameraRecordings on the retention you set

Loss events: after hours, back of house and the loading bay

Much loss happens where shoppers never go. SquintPRO can alert when a person is in the stockroom after closing, enters the cash office outside set hours, or when a vehicle is at the loading bay outside the delivery window, each with video, as on our restricted-zone intrusion detection page. When a loss is found later, the team searches footage by description or reference image, such as "a white van at the service entrance after 11 pm".

The limit: SquintPRO reports what a camera saw in a zone at a time. It does not decide that a theft took place, identify anyone or use face recognition; the judgement stays with your loss prevention team.

Retail chains safety monitoring: stores, car parks and the distribution side

The same licensed stream can also watch for exit routes blocked by stock, crowd density in a mall atrium during sales, people near forklift routes in the back store, and visible smoke as an early cue beside certified fire detectors, never in place of them. See our industrial safety practice.

Computer vision for retail chains: many branches, one rollout

A chain project is won or lost on rollout, not on the first store. Three decisions shape it: formats, each with zones and checks written once and copied to every branch; where processing runs, on-premise or in the cloud with 3, 6 or 12 months' retention, decided with IT before the pilot; and who receives which alerts. Older branches often have cameras placed for security, not counting, so the survey samples each format first.

What Saudi chains add: trading hours, personal data and support

Many Saudi stores trade late and pause around prayer times, so opening checks, after-hours rules and queue thresholds are set per branch and time band. Footage of shoppers and staff is personal data under the Personal Data Protection Law, overseen by SDAIA; decide each use case's purpose, who may view footage and how long it is kept before go-live, and tell staff. Interkey's engineers carry out the surveys, integration and support from Riyadh, in Arabic and English.

How a retail chain pilot runs

  1. Survey by format.

    A sample of branches per format, each camera sorted into usable, usable after adjustment, or needing new hardware; see our camera compatibility guide.

  2. Pilot scope.

    Two or three branches and use cases, with success criteria written first, including the false alerts per day a branch accepts.

  3. Integration.

    Alerts reach the branch, regional and central tools the chain already uses.

  4. Tuning.

    Zones, hours and thresholds follow how each branch trades.

  5. Rollout by format.

    Branches are added format by format once the pilot passes.

What drives the cost for a chain

SquintPRO is licensed per camera stream, with unlimited use cases on a licensed stream, so a camera that counts footfall by day and watches the shop floor after closing needs one licence. Each quote is built from the branches, the streams in each, the deployment model, the integration and any new cameras; see how a per-stream SquintPRO quote is built.

Questions retail chains ask

Can one SquintPRO set-up cover all our branches, or is every store a separate project?

One set-up. Each format gets its zones and checks once and every branch of that format uses them, so alerts mean the same thing everywhere.

Can we be alerted when someone is inside a branch or stockroom after closing?

Yes, when the area is a zone on a camera that sees it and the closed hours are set for that branch. The alert carries the video, so the person on duty can judge it.

Will SquintPRO catch shoplifters or recognise people who have stolen before?

No. It does not use face recognition and does not identify anyone. It alerts on conditions you define and helps your team find footage; deciding what happened stays with them.

What does a chain-wide quote in KSA depend on when some branches need new cameras?

Per camera stream, with unlimited use cases on a licensed stream, built from the branches, streams, deployment model, integration and the cameras the survey says must be added or moved.

Can footage from branches in different Saudi cities stay inside the Kingdom?

Yes. On-premise, SquintPRO runs on servers you control and footage stays on them. In the cloud, recordings are kept for 3, 6 or 12 months.

How long does it take to go from a pilot in a few stores to the whole chain?

It is estimated after the pilot, mainly from how many formats you run, how many cameras need adjusting and how many branches go live at a time.

Next step

Plan a pilot across your branches

Tell us how many branches and formats you run and roughly how many cameras a typical branch has. We will say which cameras can carry which use cases and what a pilot could measure.

Required field

By sending this form, you agree to our Privacy Notice.

Or directly

+966-11-2180999 [email protected]

Tawuniya Towers, North Tower, 7th Floor, King Fahad Highway, Olaya, P.O. Box 56835, Riyadh 11564, Saudi Arabia

or What it watches in a chain

Published by Interkey. Last updated . Interkey is registered in Riyadh, Saudi Arabia under commercial registration 1010156897.