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At Horizon Europe 2024, business leaders shared how Zycus enabled transformation beyond procurement, driving sales growth, cost control, and client retention. Belden reduced sourcing cycle time by 50% and labor hours by 70% using Zycus’ Source-to-Pay suite. Despite operating across 80+ global locations and 20 ERP systems, Zycus tools provided unified visibility and efficiency. The discussion highlighted GenAI’s role—through Zycus’ Merlin Assist—in automating tasks, enhancing supplier onboarding, and accelerating decision-making. Speakers stressed that data readiness, targeted use cases, and change management are key to successful AI adoption. Zycus stands out as a true partner in strategic transformation.
Key Takeaways:
- Zycus as a Business Enabler: Zycus helped Belden and others move beyond procurement, supporting sales growth and client retention by reducing supplier costs.
- Sourcing Efficiency Gains: Implementing Zycus tools resulted in a 50% reduction in sourcing cycle time and up to 70% fewer labor hours per sourcing event.
- High Retention Rates: Post-implementation, organizations reported retention rates of ~98% and significant improvements in sales performance.
- ERP Complexity Managed: Despite operating with 20+ ERP systems across global locations, Belden leverages Zycus’ iAnalyze module for consolidated spend visibility.
- GenAI and Merlin Assist: GenAI is expected to alleviate manual work (e.g., supplier Q&A, contract reviews, data analysis) and improve decision-making with real-time insights.
- Supplier Self-Service: Enhanced supplier onboarding via Zycus’ supplier health functionality reduces internal bottlenecks and improves supplier experience.
- Auto-Scoring in RFPs: New AI-based auto-scoring features in sourcing modules reduce manual evaluation time and improve speed and consistency in supplier selection.
- Data Strategy is Key: Successful GenAI adoption depends on a strong data foundation, integrated systems, and clear use-case-driven execution.
- Cultural Change Management: Leaders stressed the importance of phased adoption and stakeholder alignment to drive AI-led transformation.
