Master the bake. Automate the rest.
Transform your display into data. Real-time counter recognition designed for high-volume bakeries.

Tired of empty display cases?
Stop letting missed sales cut into your margins.
We have the solution for you.
How It Works
Step 1
Step 1
Snap a quick photo
Your staff receives a gentle notification to take a picture of the display cases. No complex hardware installations or clunky scanning wands are required—just a quick photo using any smartphone or tablet.

Step 2
Step 2
Custom vision AI processes the image
The images are instantly routed to our custom-trained Machine Learning vision model. Designed specifically for bakeries, it effortlessly recognizes overlapping artisan loaves, intricate pastries, and varying tray layouts.

Step 3
Step 3
Extract precise fill ratios
The system analyzes the visual data to calculate exact fill ratios for every shelf and basket. It knows immediately what is fully stocked, what is running low, and what has sold out, with clinical precision.

Step 4
Step 4
Manage everything from a sleek dashboard
All extracted data is instantly aggregated into a centralized, minimalist dashboard. Monitor real-time availability, track sales velocity, and reduce end-of-day waste without ever doing a manual count.

Accuracy1
Precision identification of every loaf across all conditions.
Privacy by Design2
Sees the bread, ignores the rest. Native face-blurring and zero customer data storage. Built for precise inventory, designed for absolute privacy.
Instant Insights
Real-time data from every counter snap, instantly aggregated.
Locations Oversight
See every counter in your empire from one screen. Real-time visibility into stock levels across all locations, no matter where you are.
Team Sync
Automated alerts for your front-of-house when trays need replenishment.
1. Verified across all bakery counter models, display layouts, and varied lighting conditions.
2. Data privacy architecture ensures PII is never stored or processed.
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FAQ
Everything you need to know before you install.




