Cargo Transportation and Logistics
Pursue new business models, from quote to cash to seamless transactions, to thrive in the digital era.
Digital supply chains help cargo companies cut costs and grow revenue
SAP continuously invests in cargo transportation solutions with a focus on enabling and managing intelligent processes in a digital world to increase efficiencies and lower costs enterprise-wide.
Powering industry transformation
Explore our cargo transportation and logistics road map to learn about current industry solutions, planned innovations, and future direction.
Current release highlights
- Machine learning-based solution to automatically categorize customer support requests and provide recommendations
- Marketing planning for strategic campaign and program management, including target setting
- Online validation and error handling for posting without the need for Web services
- Defining, planning, and monitoring the optimal maintenance strategy for the asset management organization
Upcoming innovations
- Customer retention enhancement to proactively decipher data and provide propensity of customer retention
- Infusion of machine learning for customer retention and business integration from Web to freight shipment solutions
- Optimized usage of rail assets based on real-time reporting and monitoring of assets in the rail yard or terminal
- Scheduling of board enhancements, automatic leveling, schedule simulation, and individual technician assignment
Future plans
- Inject machine learning and AI in customer experience processes, while adhering to GDPR requirements
- Expand the digital and social partner ecosystem with additional capabilities
- Provide a self-service portal for inquiries and end-customer-initiated actions on invoices
- Enhance predictive maintenance and service and asset network and collaboration capabilities
Get the facts
100%
Current release highlights
- Machine learning-based solution to automatically categorize customer support requests and provide recommendations
- Marketing planning for strategic campaign and program management, including target setting
- Online validation and error handling for posting without the need for Web services
- Defining, planning, and monitoring the optimal maintenance strategy for the asset management organization
89%
Upcoming innovations
- Customer retention enhancement to proactively decipher data and provide propensity of customer retention
- Infusion of machine learning for customer retention and business integration from Web to freight shipment solutions
- Optimized usage of rail assets based on real-time reporting and monitoring of assets in the rail yard or terminal
- Scheduling of board enhancements, automatic leveling, schedule simulation, and individual technician assignment
50%
Future plans
- Inject machine learning and AI in customer experience processes, while adhering to GDPR requirements
- Expand the digital and social partner ecosystem with additional capabilities
- Provide a self-service portal for inquiries and end-customer-initiated actions on invoices
- Enhance predictive maintenance and service and asset network and collaboration capabilities