Image recognition is activated from Storecheck Field, and with just one shelf photograph, you'll be able to determine:
In less than 5 minutes and with up to 97% accuracy, Storecheck Vision identifies products, compares them against the target planogram, and generates tasks for field personnel based on detected opportunities.
By analyzing and diagnosing images, automatic tasks are generated to instantly address any situation at the point of sale. When used in conjunction with HUB, Storecheck Vision’s analysis is enhanced, generating enriched indicators with chain sell-out data.
Storecheck Vision’s Image Recognition or computer vision technology will streamline your promoters’ data capture process and enhance the detail of your execution evaluation.
Combine and turn all your data into actionable insights with Storecheck Hub
Promoters who know what to do—and when to do it
FIELD guides promoters to execute what matters most, at the right time.
Smart routes, dynamic checklists, alerts, and automated reports. The app adapts to your operation, not the other way around.
Location-verified check-ins
KPIs by user or region
By brand or retail chain
Photo validation
Configurable workflows
Compatible with your structureroutes
checklist
with a photo
Execute your Perfect Store strategy with clarity and focus
Define your methodology, evaluate the four pillars, and communicate results quickly and objectively on every visit.
A single indicator for each point of sale to align teams and accelerate continuous improvement.
All your data. One place. No excuses.
HUB integrates sales, inventory, and execution data, harmonizes information from different sources, and turns it into alerts, KPIs, and decisions.
The analytics platform that is truly connected to point-of-sale reality.
Customizable KPIs by client
What shoppers see, now you can see too
Recognize, validate, and measure your displays in seconds.
With computer vision, you will know whether an endcap was installed, whether it meets the requirements, and whether your brand looks as it should.











