SCM - Transportation Planning & Scheduling

The flexis SCM solution Transportation Planning & Scheduling enables dispatchers and planners to design and optimize transportation scenarios. The software enables integrated planning of transportation networks, routes, and frequencies based on dynamic transportation requirements.

For convenient and user-friendly route and tour optimization, we integrate the geocoding data from our partner HERE into the solution.

We are proud to work with our partner project44, the world’s leading advanced visibility platform for shippers and logistics service providers. The data that project44 provides ensures the highest possible visibility in the supply chain. Together with project44, the flexis Transportation Planning & Scheduling solution provides our customers with further optimization, efficiency and resiliency in their supply chains.


The IT subway map presents a clear overview of the complex world of IT. Find flexis on the line for transportation management and on the line for production planning here on the interactive map. ITSubwayMap


Faster, networked planning makes scheduling processes more reliable and economical. System-based automated and continuous improvement ensures greater efficiency in supply chain management and transportation planning.


Transportation Planning & Scheduling is a 24/7 support solution that can be used in a modular fashion. This important planning tool supports the optimization of route planning and creates a systematic overview for the scheduling planner. The system not only shows alternative courses of action, but also their cost aspects from a logistics and transportation perspective. This results in a rapid return on investment.

Detail Description

flexis Transportation Planning implements coordination with all parties involved on the basis of continuously retrievable data. If, for example, interruptions occur in the supply network, not only the transportation planner but also the material planner or production manager will recognize that bottlenecks are occurring, making rescheduling necessary. Dispatchers can use it to re-plan and reschedule the entire network and vehicle routing. The software enables simulations and provides scenario management so that the most efficient transportation solution is always found. Real-time predictions can be made using analytics, data integration and geoservices. In the digital supply chain twin, planners can test scenarios and make optimal decisions based on them. This allows both inbound and outbound transportation planning to be optimized - integrated across the entire supply chain.

Added Value

  • Unified transportation and demand planning replaces silos with end-2-end supply chain management scenarios, integrating planning and execution. Balances transportation costs with intralogistics costs. An integrated Green Footprint optimizer takes CO2 reduction targets into account at the planning stage, if required, and prepares the groundwork for sustainable Green Logistics. Facilitates end-2-end decisions throughout the supply chain.
  • Decision-making performance and speed: Allows automated, faster decisions, parallel processing instead of sequential processing. Eliminates latency in information flow between: Demands & deliveries, transportation & cost structures. Allows real-time exchange of information and decisions between organizations.
  • More accurate decision making: optimizes precise decisions, easily combined with a range of objectives and constraints. Delivers new & better supply chain algorithms through integrated analytics. Supports fine-grained, high-frequency, and proactive decision-making in volatile supply chains.
  • Increased resilience: intelligently & reliably supports supply chain cost & service resilience. Improves supply chain risk management. Enables real-time rescheduling. Includes automated adaptation and real-time analytics. Provides condensed data quality.
  • Available in the cloud

flexis solution overview


Reduction of planning efforts

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Reduction of transport costs

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Reduction of Carbon footprint

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