AI Stock Counting & Shelf Checks
Test a better way to carry out repeated visual stock checks.
Assess whether camera images can support counting or stock-presence checks in your environment.
The opportunity
The problem we help you solve
Counting items or checking whether a position is occupied can become a recurring drain on staff time. Cameras may already capture the area, but useful automation depends on what is actually visible and how consistently it can be seen.
Voxd assesses counting or presence checks against your layout, products and image conditions. We measure the quality of the result before recommending integration. Where the approach is useful, findings can support a review or replenishment workflow with the limits understood.
What changes for your team
Reduce suitable repetitive inspection
Identify checks where a visual first pass can prepare useful information for staff.
Make the criteria repeatable
Define exactly what is being counted or detected and evaluate it consistently.
Connect the result to a decision
Deliver findings in a form that can support review, investigation or an agreed stock workflow.
What we deliver
What Voxd can deliver
Capture and layout review
Assess camera position, visibility and representative stock conditions.
Counting or presence pilot
Test the agreed objects or locations and measure errors across realistic examples.
Workflow design
Define how results, uncertainty and exceptions should reach the responsible team.
Why Voxd
A practical route from detection to an operational tool.
Voxd brings AI development, workflow automation and custom software together. We can build the review interface, connect the result to an existing system and design how uncertain cases reach a person.
We begin with feasibility because different visual tasks have very different requirements. You get a way to test the opportunity before committing to a larger deployment, with a decision based on your images and operating conditions.
How we work
Prove it in your environment
- 01
Define the inspection
We agree what should be detected, what acceptable variation looks like and the practical consequences of a missed detection or false alarm.
- 02
Assess representative images
We review camera setup, image quality and examples of both normal and difficult conditions. Gaps in the sample are identified early.
- 03
Run a measured pilot
We evaluate detection quality and the review workload against agreed criteria, including examples outside the easiest cases.
- 04
Connect useful results
If the pilot supports proceeding, we integrate the findings into a working process with human review, ownership and ongoing performance checks.
Before you get started
Before you get started
Can it count items hidden behind other items?
Visibility is a fundamental constraint. We assess whether the capture setup supports the required count or whether a different method is needed.
Will it replace our stock system?
Not by itself. It can provide a visual input to an agreed process, with reconciliation and business records handled appropriately.
Start with the check your team repeats most often.
Show us the layout, the items and the result you need to trust.