Shelf audits at every visit instead of a quarterly sample

A consumer brand with field reps across a region replaces manual shelf counting with a photo per bay, turning every store visit into structured availability and share of shelf data.

The situation

Manual audits are expensive, so only a sample of stores gets audited and only a few times a year. Out of stocks and planogram drift are discovered long after they cost sales.

The manual baseline

• Reps count facings by hand and type them into a form after the visit
• Coverage is limited to a sample, so regional decisions rest on partial data
• Data lands days later, too late to act on a specific store

What KLIQ changes

• The rep photographs the bay, the platform detects products, facings and gaps
• Availability, share of shelf and planogram compliance are computed per photo
• Low confidence detections are routed to human verification before reporting

Indicative outcomes

Integration

Detections flow into Salesforce, Dynamics 365 or an existing BI stack, so field teams and category managers work in the tools they already use.