Industry

AI video monitoring for retail stores

Turn the cameras you already have into alerts your team can act on, starting with spills nobody reported.

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Grocery store aisle with a liquid spill outlined on the floorSimulated footage
Floor safety10:42

Triggered because Liquid on the floor in aisle 4

What GuardMind saw

A clear liquid spill is spreading across the aisle floor near the produce case.

Example scenario · Floor safety

A spill nobody reported

Liquid on an aisle floor often goes unnoticed until a shopper or employee finds it. Your team gets the clip and the aisle, cleans it up and closes the event.

  1. The problem

    Liquid on the floor goes unnoticed until someone slips or a customer complains.

  2. What Reflex flags

    Reflex flags the spill with the clip and the aisle.

  3. What your team does

    Staff clean it up and close the event.

Store employee watching an event clip on a tablet near the checkout lanesSimulated footage

From video to a reviewable event

  1. Existing IP cameras

  2. A site-specific model finds a candidate event

  3. Vision-language judgment checks the scene

  4. Staff receive a clip and plain-language description

Your team decides what happens next.

Three questions at the front end

Each scenario is checked against your store’s camera views before scope is agreed.

  • Shoppers with carts waiting in lines at staffed checkout lanesSimulated footage

    Example scenario · Checkout

    Are queues growing?

    When queues start growing

    Test what your camera views tell you about pressure at staffed lanes.

    • Shoppers waiting by lane
    • Open versus inactive registers
    • Notification threshold agreed with your lead

    Feasibility depends on camera angles and sample footage.

  • Self-checkout zone with shoppers at some stations and others freeSimulated footage

    Example scenario · Self-checkout

    Are stations in use?

    Demand by station

    Where is self-checkout busy, idle, or waiting for help?

    • Occupied vs. available: which stations are being used?
    • Waiting for help: where might an attendant be needed?
    • Peak windows: when does the zone get busy?

    Proposed zone-level measurements. No person tracking.

  • Shopper at a self-checkout station holding an item over the scannerSimulated footage

    Example scenario · Self-checkout

    What needs review?

    Possible item exceptions

    Can a camera flag a possible item exception for staff to verify?

    • Item bypasses the scan area: a camera angle may show an item moving directly from basket to bag
    • Item remains in the cart: a person reviews any candidate event before acting

    Requires camera-view validation. POS matching needs separate scoping.

Beyond the checkout

  • Shopper with a tote bag reaching toward a shelf in a store aisleSimulated footage

    Example scenario · Loss prevention

    Possible item concealment

    A camera view shows an item moving from a shelf toward clothing or a bag.

    • Flag the gesture for human review
    • No identity matching or accusation
    • Agree a response policy before testing

    Concept only. Check camera angles and false alerts on store footage.

  • Snack shelf with empty sections between stocked productsSimulated footage

    Example scenario · Shelf availability

    Gaps on the shelf

    Compare the current shelf view with a reference photo of the fully stocked shelf.

    • Check the same shelf over time
    • Flag a low-stock or empty section
    • Store staff decide on replenishment

    Concept only. Needs a reference image and a stable camera view.

  • Shopper pushing a loaded cart toward the store exitSimulated footage

    Example scenario · Exit activity

    Cart bypasses checkout

    A loaded cart moves toward the exit without passing through the checkout area.

    • Video flags the route for review
    • Payment cannot be inferred from video
    • POS matching requires separate scope

    Concept only. No allegation or automated intervention.

  • Person in a hooded top trying the door handle of a parked car in a store parking lotSimulated footage

    Example scenario · Parking lot

    Door-handle checks

    Someone tries door handles on parked vehicles. A short clip gives staff the context to review.

    • Candidate event from one camera view
    • Clip with time and camera location
    • Your team decides the response

    Pilot concept. Validate on site footage. No identity tracking.

One store. One question. A focused pilot.

  1. Share footage

    Show the problem in a recent clip.

  2. Check cameras

    We assess views and feasibility.

  3. Connect and tune

    Test one approved scenario.

  4. Review evidence

    Evaluate alerts with your team.

Camera count, duration and commercial terms follow the technical review.

Let’s start with your store

Which retail problem should we test first?

Share a store or parking-lot clip. We assess one scenario and propose a focused pilot.

Request a demo

Or write to hello@guardmind.com