ML recommendations across 100k+ sessions
We turned nine lines of standalone machines into one connected network, with an IoT session layer, kiosk QR and PIN check-in, partner and super-admin consoles, and ML-driven recommendations personalised to every user's history.
- ML recommendation engine
- User history & session data
- IoT data collection
- Multi-location analytics