The Story
A
The Situation
A mid-sized California manufacturing company faced critical inventory management challenges:
- Frequent stockouts of essential materials disrupting production
- Excessive buildup of unnecessary components tying up capital
- Inability to predict future order demands accurately
- Production delays and increased operational costs
- Missed revenue opportunities due to inventory disorganization
Their existing systems couldn’t provide the visibility or intelligence needed to optimize inventory levels.
C
Our Approach
We implemented a comprehensive AI-enhanced inventory management system featuring:
- Real-time inventory tracking software for continuous material monitoring
- AI-powered demand forecasting analyzing historical data and order patterns
- Automated alert system for critical stock levels and production risks
- Centralized data dashboard integrating procurement, production, and sales information
D
What We Built
-
Real-Time Tracking
Continuous inventory monitoring system with real-time visibility across all materials.
-
AI Demand Forecasting
Machine learning model analyzing historical data and patterns to predict future demand.
-
Automated Alerts
Proactive alert system for critical stock levels and potential production risks.
-
Centralized Dashboard
Unified dashboard integrating procurement, production, and sales data.