Inventory Optimization applies advanced artificial intelligence / machine learning and optimization techniques to help manufacturers reduce inventory levels while maintaining confidence that they will have stock when and where they need it.
Our solution uses advanced techniques of artificial intelligence and machine learning that, taking into account variables such as product demand values, the number of stocks, supplier delivery times, interruption of production lines, among others, helps to optimize processes. Maintaining the confidence that you will always have stock when and where you need it, minimizing inventory retention and reducing shipping costs.
- Real-time recommendation
- Real-time monitoring
- Optimization by confidence level
- Summary view for operators
- Performance view of individual parts
- Planning the "What if" scenario
- Optimization with real-time data
- Scalability to millions of parts
- Reference parts
