Customer-Driven Innovation
Derek Gittoes, Vice President of Supply Chain Management Product Strategy at Oracle, emphasized that the updates were directly informed by customer needs identified through Oracle's Cloud Customer Connect platform and specialized advisory boards.
"Through close collaboration with our Transportation Management Customer Advisory Board, we identified AI and machine learning applications for transportation time and ETA prediction as having the most immediate impact potential," Gittoes explained. "Similarly, feedback from global trade management customers drove our prioritization of enhanced free trade agreement support."
Key Enhancements
The new features aim to deliver dual optimization of service levels and cost efficiency across supply chain operations:
AI-Powered Transportation Predictions
- Improved delivery reliability: Enhanced machine learning algorithms enable more accurate shipment timing forecasts, leading to better on-time performance.
- Reduced freight costs: More precise planning decreases the need for expedited shipments, lowering transportation expenses.
Digital Assistant Capabilities
- Real-time order tracking: Stakeholders can check order and shipment status via mobile devices and collaboration tools.
- Automated inquiries: Common queries are handled automatically, reducing manual workload for logistics teams.
Integrated Platform Advantages
Gittoes highlighted Oracle's unique position in offering comprehensive transportation and global trade management functionality on a unified cloud platform that supports all geographies, transport modes, and industries.
"Our solutions stand apart through their native integration of emerging technologies like AI/ML, digital assistants, and IoT," Gittoes noted. "Oracle Transportation Management remains the only solution with embedded AI/ML for transportation time prediction and natural language digital assistant capabilities."
Building Supply Chain Resilience
The updates arrive as organizations worldwide face unprecedented supply chain volatility. Oracle's enhancements provide tools to address several critical challenges:
End-to-End Visibility
Real-time monitoring across the entire supply network enables proactive issue identification and resolution, from raw material sourcing through final delivery.
Intelligent Decision Support
Advanced analytics help optimize inventory levels, transportation routes, and demand forecasting while mitigating risks.
Automated Workflows
Streamlined processes for order management, inventory control, and logistics operations reduce manual effort and errors.
Future Outlook
As supply chain complexity continues growing, Oracle plans further integration of AI, IoT, and blockchain technologies to enhance transparency, efficiency, and security across global supply networks.
The latest SCM updates demonstrate Oracle's commitment to helping enterprises build intelligent, resilient supply chains capable of adapting to dynamic market conditions while delivering superior customer experiences.