product-rover

Rover aims to keep your stocks within the desired thresholds. By doing so delivers significant improvements through routing optimalisation and fuel demand predictions, resulting in reliable stock levels and cost savings.

The algorithm has shown the opportunity to save 15% in transit time by optimizing routes.

15%

An intelligent planning algorithm utilizing Reinforcement Learning technology. The engine is specifically developed for optimal planning of bulk transport in combination with strategic inventory management.

Core functionalities include:
- Analysis of historical transport data and inventory patterns
- Execution of millions of simulations to identify optimal scenarios
- Continuous improvement of planning decisions based on results
- Adaptation to changing market conditions and demand patterns.

The engine proofs to delivers significant savings through intelligent demand forecasting and automatic optimization of transport and inventory strategies for both Barge and Truck use cases.

ROVER