Machine data in. Money saved out.
Every project below follows the same pattern: sensors and gateways collect what machines are really doing, AI-driven analytics turn it into OEE, downtime causes and wastage numbers, and managers act the same day. Here is what that looked like for four very different factories.
Unilever Bangladesh — BDT 15 lakh saved per day
Real-time visibility analytics caught excess giveaway on high-speed FMCG lines the moment it happened.
Walton — live OEE and downtime tracking
Minute-by-minute downtime tracking on air-conditioner production, with every stop reason ranked automatically.
BITAC — CNC machine intelligence
HAAS and Hyundai CNC machines at a national institute streaming uptime, alarms and downtime reasons into one dashboard.
SUNYAD — computer vision on textile looms
Camera-based torn-thread detection logging every stop and measuring fixing time.