A national railway operator relied on a wide network of suppliers to maintain its rolling stock. However, supplier data such as catalogs, prices, lead times, and availability was fragmented across tools, formats, and vendors. This siloed approach led to costly order errors, missed maintenance windows, inefficient planning and approvals, and lost information during handoffs.
We implemented a cloud-based platform to centralize and structure all supplier-related information in one place.
The system provided unified access to critical data, built-in search, real-time tracking, and automated approval workflows. It offered full visibility across procurement and maintenance processes and created a single source of truth for planning.
The outcome was a streamlined process that saved time, reduced errors, and enabled more strategic decision-making.
By leveraging data centralization and automation, we helped the railway company streamline supplier coordination, reduce errors, and plan preventive maintenance more effectively.
The result? Fewer delays, faster approvals, and a more reliable maintenance workflow.
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We were skeptical at first — AI felt like a buzzword. But seeing the case studies on QanaFlow’s site changed that. Their work with companies facing challenges just like ours gave us the confidence to move forward. The results they delivered for others weren’t just impressive — they felt achievable. That transparency made all the difference.