Challenge
A mid-sized manufacturing company was struggling with inventory management, experiencing both stockouts of critical components and excess inventory of others. Traditional forecasting methods were failing to account for complex supply chain dynamics and seasonal variations, resulting in production delays and increased costs.
Solution
Opsio’s machine learning consultants developed a custom predictive inventory management system that:
- Analyzed historical data to identify patterns in demand fluctuations
- Incorporated external factors such as supplier lead times and market trends
- Provided real-time recommendations for optimal inventory levels
- Integrated seamlessly with existing ERP systemst