SpaceTime uses reinforcement learning for Hub Operations Analytics to optimize throughput continuously and align capacity with demand. Hub operations software optimizes for multiple constraints such as service level by product, available workforce, and system capacity. Arrivals and departures are tracked in real time, spatio-temporal queueing of products throughout the hub is maintained, and goods are dynamically reassigned to transport.
Optimized and more predictable Transportation Management operations allow closer alignment between demand and supply. Just-in-time manufacturing can only be realized, for example, when cargo condition is tracked, real-time inventory is known, and hub and loading dock throughput is maximized.
If assets are down, business is lost. SpaceTime Asset Analytics goes beyond predictive maintenance with real-time optimization of maintenance and repair schedules to extend the life of assets and minimize downtime.
Operations Analytics optimizes operations for:
Third Party Logistics
and any business with Field Maintenance Operations