98%
reduction in manual processes
80%
efficiency boost in shipment planning, with higher accuracy and agility
Improved DIFOT
Maximized container capacity
By automating container allocation, Sumitomo cut manual effort, reduced errors, and accelerated shipment speed, transforming its supply chain efficiency.
Products used
Sumitomo Rubber faced a slow, manual process for monthly container allocation, requiring weeks of effort and frequent rework due to complex data inputs, business rules, and cross-team coordination. These inefficiencies delayed system updates and led to missed opportunities for timely shipments. By deploying agentic process automation on the Automation 360 platform, Sumitomo automated data ingestion, container fill optimization, and rule application across orders. The result: manual allocation time dropped by 97.5%, from 20 days to half a day. Planning cycles accelerated, errors in ETD/ETA data entry were minimized, and shipment readiness improved. The company now delivers more reliably while optimizing inventory and supply chain resources.
Sumitomo is now building on this success, using real-world results and team feedback to identify the next high-impact processes for its supply chain transformation.
Automation solution integrates RPA, AI agents, and business rule orchestration.
AI-driven classification and business rule logic optimizes allocation for capacity and order type.
Optimized results—including number of containers, tire counts, and ETD/ETA— displayed for business team review.
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