Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – which gives you visibility and insights into all your assets, from single machines to full plants to help you reduce downtime, increase knowledge sharing and accelerate digital transformation across your organization.

In this episode, we’re joined by experts from Siemens live from Hannover Messe 26 to explore how Arca Continental, one of the world’s largest Coca-Cola bottlers, is driving a data-led manufacturing transformation across its global operations, and how combining transparency, predictive maintenance, and a strong digital foundation is unlocking measurable operational impact at scale.

What you’ll learn in this episode:

• How Arca Continental is scaling digital transformation across 45 sites by starting with transparency (OEE, cost, loss drivers) before moving to advanced use cases

• Why predictive maintenance success depends on strong cultural alignment and early digital maturity — not just technology

• A real-world example delivering impact in days — saving 13 hours of downtime on a critical production asset

• How Insights Hub provides a unified data foundation to connect use cases, systems, and workflows at scale

• What’s next: expanding with AI, contextualized data, and prescriptive insights to drive continuous operational improvement

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance