AI for SMB Manufacturers
Predictive maintenance, quality control, and supply chain optimization—engineered for mid-market manufacturers who can't afford enterprise consultants or unplanned downtime.
The operational challenges keeping you up at night
Unplanned Downtime
Equipment failures cost $50K-$500K per incident in lost production and emergency repairs.
Quality Inconsistency
Manual inspection catches defects too late, leading to rework, scrap, and customer returns.
Demand Volatility
Supply chain disruptions and unpredictable orders make inventory optimization a constant struggle.
Skilled Labor Shortage
Tribal knowledge walks out the door as experienced workers retire without capturing expertise.
AI solutions for the shop floor
Practical applications that deliver measurable ROI within months, not years.
Predictive Maintenance
ML models analyze sensor data, vibration patterns, and historical records to predict failures before they happen.
AI-Powered Quality Control
Computer vision and anomaly detection identify defects in real-time during production, not after.
Demand Forecasting
Machine learning models incorporate market signals, historical patterns, and external factors for accurate predictions.
Knowledge Capture & Transfer
AI-assisted documentation and decision support systems preserve and distribute institutional expertise.
Client success story
Regional Precision Parts Manufacturer
Challenge
Experiencing 8-12 unplanned equipment failures per month, costing an average of $75K each in lost production and emergency repairs.
Solution
Implemented predictive maintenance system analyzing vibration, temperature, and performance data from 15 critical machines.
Results
Why manufacturers choose BigyanAnalytics
Ready to modernize your operations?
Let's discuss your biggest operational challenges and explore how AI can deliver ROI in your facility.