Groundup.ai Boosts Coca-Cola Bottling Uptime by 12% with AI Predictive Maintenance

The Challenge

For The Coca-Cola Bottling Company of Saudi Arabia, maintaining uninterrupted production is critical. Operating one of the region's largest beverage manufacturing networks means that even a single hour of unplanned downtime can result in significant production losses and operational disruption.

Specific Challenges:

• Invisible degradation: Early-stage equipment wear often went undetected until failures were imminent.
• Reactive maintenance: Heavy reliance on manual inspections and troubleshooting slowed response times.
• Resource inefficiencies: Maintenance planning, spare parts allocation, and engineering resources were not always optimised.
• Operational risk: The company was pursuing a goal of Zero Unplanned Stoppages across critical production assets.

The Impact

In a high-volume manufacturing environment, the difference between a routine maintenance task and a costly production disruption often comes down to how early a problem is identified.

Without visibility into developing equipment issues, maintenance teams risk unexpected downtime, emergency interventions, lost production, and avoidable repair costs. For Coca-Cola, achieving greater operational reliability required a way to detect hidden machine degradation before it escalated into critical failures.

The Opportunity

Coca-Cola saw an opportunity to move beyond reactive maintenance and adopt a more proactive, data-driven approach to asset reliability.

By leveraging AI-powered machine health monitoring, the company aimed to identify potential failures earlier, improve maintenance planning, optimise resource allocation, and reduce the operational risks associated with unexpected equipment breakdowns.

The Solution

Groundup.ai partnered with Coca-Cola to deploy its Cognitive Maintenance platform across critical production assets.

• IoT Sensor Deployment: Real-time monitoring of transfer pumps, vacuum pumps, syrup pumps, fillers, and blower motors.
• AI-Powered Detection: GINA AI continuously analysed machine behaviour to identify degradation patterns and likely root causes before failures occurred.
• Actionable Intelligence: Custom dashboards provided engineers with real-time insights and prioritised alerts.
• Trusted Alerts: Intelligent thresholds reduced alarm fatigue and improved confidence in maintenance decision-making.

Outcomes

Early Failure Detection
GINA AI identified severe vibration anomalies in a critical Transfer Pump, detecting signs of a damaged bearing and mechanical looseness before a breakdown occurred, enabling intervention before production impact.

Improved Maintenance Efficiency
Real-time machine health insights helped engineers prioritise maintenance based on asset condition rather than reactive troubleshooting, reducing unnecessary effort and delays.

Greater Operational Visibility
Continuous monitoring of critical assets improved awareness of emerging risks, enabling more confident and proactive decision-making across maintenance teams.

Progress Towards Zero Unplanned Stoppages
Early detection of equipment issues strengthened reliability strategies and reduced the likelihood of unexpected production interruptions.

Key Learnings

• Early anomaly detection can significantly reduce downtime and maintenance costs.
• AI-powered insights enable a shift from reactive to proactive maintenance.
• Real-time visibility improves maintenance planning and asset utilisation.
• Trusted alerts are essential for driving adoption and operational confidence.

Adoption Metrics

• US$243,658 saved from a single prevented Transfer Pump failure
• 12% increase in uptime
• 15x projected ROI within the first year
• Less than one month payback period
• 2.5 tonnes of CO₂ emissions avoided

About Coca-Cola Bottling Company of Saudi Arabia

The Coca-Cola Bottling Company of Saudi Arabia operates one of the region's largest and most sophisticated beverage production networks. Renowned for its commitment to quality, innovation, and sustainability, the company manages a diverse portfolio of beverages while continuously investing in technologies that improve operational excellence and manufacturing reliability.

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