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Platform Engineering
Unified Data Platform for Silk Contract Logistics.
Single customer view, real-time container tracking, and a data layer built for growth.
01/ the brief
Post-acquisition data chaos. No customer visibility. Manual order entry slowing everything down.
Silk Contract Logistics manages the movement of containers from seaports to customer sites across Australia. A series of business acquisitions had left their data fragmented across multiple systems — creating blind spots for operations and a frustrating experience for customers who had no real-time view of their own containers.
- Customer data spread across multiple systems from acquired businesses — no single customer view
- Manual order entry was slow and error-prone, increasing the risk of delays and mistakes
- Customers had no real-time access to container status — leading to frustration and excess support load
- Without analytics, operational inefficiencies were invisible and unactionable
02/ the solution
A unified data services layer, a real-time customer portal, and a strategic roadmap for future growth.
Crystal Delta consolidated Silk's fragmented post-acquisition data into a single data services layer, built a real-time customer portal on top of it, and delivered a strategic requirements and design project that fed into their long-term roadmap.
What's under the hood
- Unified data services layer aggregating all data from disparate systems into a single source of truth
- Customer web portal delivering real-time order and container status visibility — with live updates and notifications
- Automated data aggregation and order entry replacing slow, error-prone manual processes
- Analytics capability enabling Silk to identify operational inefficiencies and improve decision-making
- Strategic requirements and design project feeding directly into Silk's long-term business roadmap
03/
The Impact
Data Consolidation
Single customer view
Unified data layer replaced fragmented multi-system data across all acquired businesses.
Real-time tracking
Customers monitor their containers live — reducing support inquiries and improving satisfaction.
Operational efficiency
Automated data aggregation eliminated manual errors and increased processing speed.