Illustrative scenario — not a customer deployment. The workflow is proposed; no measured results are claimed. Site compatibility, detectors and workflows would be validated during scoping.
01 / THE OPERATING CHALLENGE
What needs a clearer view?
Consider a convenience store where popular products can disappear from the shelf while stock remains in the back room.
Periodic walks can miss a shelf gap between checks. A sales report may reveal lost availability only after the busy period.
An empty-looking space can also mean a moved display, obscured product or outdated shelf plan.
02 / HOW iOn WOULD HELP
Connect the view to the workflow.
Agree the shelf plan
Select a small number of high-priority shelf zones and record the expected product positions.
Flag a visible gap
Identify persistent empty or low-stock areas and separate them from blocked camera views.
Close the loop
A staff member checks the shelf and stockroom, replenishes when appropriate and records the alert outcome.
03 / AN ILLUSTRATIVE EVENT
From a signal to a human decision.
Camera signal
A target shelf zone shows a persistent visible gap during an agreed review window.
iOn context
A time-stamped candidate, its location and supporting image would go to the responsible reviewer. Unclear or obscured views stay unresolved.
Human action
The store team checks the product position and inventory, replenishes the shelf or marks the alert as a layout change.
Example sequence only. No live feed, customer incident or recorded outcome is shown.
04 / MEASURE BEFORE YOU EXPAND
What would make the pilot useful?
Agree definitions and a baseline before starting. Review uncertainty and other operational changes alongside any observations.
Time to restock
Measure the interval from a verified shelf gap to completed replenishment.
Are recoverable gaps addressed sooner?
Alert quality
Compare candidates with staff checks, including obscured and moved products.
Which shelf views produce useful tasks?
Proposed evaluation measures. No numerical target or achieved improvement is asserted.
05 / READINESS & LIMITATIONS
Be clear about what the camera can tell you.
What the site would need
- Authorized camera access, suitable lighting and an agreed view of the target area.
- A named reviewer and documented privacy, access and retention arrangements.
- A pilot dataset representative of normal conditions, busy periods and visual obstructions.
What this scenario does not claim
- Shelf appearance does not prove inventory availability or exact SKU quantity.
- A gap cannot establish lost revenue without separate sales analysis.
- Camera placement should focus on products and avoid unnecessary customer identification.
Further reading
Concept inspiration: EyePop.ai: Retail Shelf Out Of Stock Detection. This is an independently written iOn implementation scenario, not an EyePop customer result, integration claim or endorsement.
06 / THE PILOT PLAN
Start with a defined question.
Start at one location. Collect a baseline, agree event definitions and compare reviewed alerts with independent observations across comparable operating periods. Record false alerts and missed events before considering expansion.
Expand only when reviewers can act on the signals, the evidence supports the agreed performance requirements and deployment safeguards are in place. No measured customer result is claimed.
Custom quote. Scope and commercial terms are agreed before commitment.
