Aspen Fleet OptimizerTM is an enterprise-solution for inventory management and truck transportation optimization, empowering companies to realize the most profitable schedule to fulfill demand.
Now Map Monitor goes beyond visualization to enable the scheduler to address emergency situations such as canceling or deleting a dispatched order or transferring a dispatched order to a station to prevent a runout. Schedulers can see the immediate impact of any changes. Map Monitor also provides insight into sales forecasts over the near-term time horizon to enable your dispatchers to adjust future schedules as needed.
With Map Monitor's intuitive color coded icons, easily identify potential issues within the delivery schedule. Anticipate unplanned runouts and prevent them before they occur. New Load Confirm feature enables integration between Aspen Fleet Optimizer and other systems.
Aspen's Resource Scheduling Optimization (RSO) generates the absolute lowest cost-per-volume delivered schedule that is operationally feasible for transportation optimization.
Automated Stock Replenishment (ASR) leverages a proven method of integrated demand forecasting, proportional inventory management, and order generation to create automatic replenishment plans and orders for service stations, airports, and other commercial operations.
Facilitate data exchange and collaboration for optimal planning. Integration methods include: receiving stock-level, point-of-sales data, and terminal loading confirmations via the ERP system by telephone, fax, email, or the web.
Leverage Order Manager complete with voice and web capabilities. Enhance operational coordination between logistics and credit with the Customer Order Credit Management capability. Manage orders, credit, and inventories to keep stations in product.
Use best-in-class vehicle and routing optimization to minimize distribution costs and lower cost-per-volume delivered, while proactively analyzing "what-if" scenarios for your supply and distribution needs.
Quickly respond to the dynamic nature of the retail industry by performing enhanced scenario analysis to determine the most cost effective way of adjusting schedules -- minimizing the negative impact on cost and customer service.