Retail & Beauty
AI for retail stores: see shrinkage, queues and empty shelves in rupiah.
Modern retail and beauty chains in Indonesia already have cameras in every store and a POS at every till. We connect the two, so you can see where sales are lost and act the same day.
The problem
Where the money leaks
- Shrinkage you only discover at stock-take
- Checkout queues that turn shoppers away at peak hours
- Empty or mis-faced shelves on best-sellers
- Beauty consultations captured on paper forms or not at all
Solutions
What we build for Retail
Shrinkage and till exceptions
Match camera events to POS transactions to flag unbilled items and voids.
Learn more →Footfall, queue and conversion
Visitors, queue length and walk-aways per hour, next to sales from the POS.
Learn more →On-shelf availability
Alerts when best-sellers run out on the shelf, not just in the system.
Learn more →Beauty advisor co-pilot
Product recommendations and one-tap checkout that capture what customers considered.
Learn more →Store-level demand forecasting
Replenishment quantities per store that reflect promotions and seasonality.
Learn more →Related work
From our founders' work at previous companies, before AIQU Systems.
Frequently asked questions
Can AI detect shoplifting and cashier fraud?
Computer vision can flag patterns linked to loss, such as items passed without scanning or unusual voids, and send clips for review. A person always makes the final call.
Does it work with our current CCTV and POS?
In most stores, yes. We check camera positions and POS data access during the Vision Assessment.
How many stores do we need to start?
One. The Vision Assessment and pilot run on a single store; rollout follows once the numbers are proven.
Find out what your cameras are missing.
Start with a Vision Assessment: 2 days of your existing CCTV footage, a loss report in rupiah within 10 working days, and the Rp 25.000.000 fee credited in full toward a pilot.