Tillamook and G&J Pepsi-Cola Bottlers achieve efficiency gains through AI-driven automation
Several manufacturing companies, including Tillamook and G&J Pepsi-Cola Bottlers, improved operational efficiency and reduced maintenance costs by implementing Microsoft Dynamics 365-based solutions. These cloud-based business applications enabled predictive maintenance, automated manual processes, and enhanced supply planning using AI-based prioritization. Dynamics 365 Field Service and Supply Chain Management applications were central to optimizing scheduling, reducing equipment downtime, and improving asset management. The use of AI models and real-time data analytics provided manufacturing sites with actionable insights, helping companies to respond swiftly to supply chain disruptions and collaborate more effectively with suppliers. As a result, throughput was improved by more than 50 percent, maintenance costs were reduced, asset lifespans were extended, repetitive manual tasks were automated, and operational visibility increased across the business.
- Organization
- Tillamook
- Industry
- Manufacturing
- Location
- United States
- Published
- January 2023
Reported outcomes
+50%
quantified impactProductivity & throughput
Strategic outcomes
Catalog median for productivity & throughput deployments: +45% across 225 reported metrics. Compare benchmarks →
Primary read
Use case focus
Showing 3 of 3
- 1Predictive Maintenance for Production Equipment
- 2Automated Scheduling for Manufacturing Maintenance
- 3AI-Enhanced Supply Chain Prioritization
- High costs from unplanned maintenance and equipment downtime.
- Difficulty optimizing supply chain and asset life cycle management.
- Limited visibility and manual processes hindering operational agility and risk reduction.
- Supply chain disruptions impacting responsiveness.
- Implemented Microsoft Dynamics 365 for Field Service and Supply Chain Management.
- Used AI-powered scheduling and predictive analytics for proactive maintenance.
- Automated manual and repetitive office and equipment management processes.
- Enabled real-time collaboration and data access across manufacturing operations.
- Improved throughput by more than 50% for some factories.
- Reduced maintenance costs and extended asset lifespans.
- Enhanced visibility and agility in supply chain operations.
- Automated manual processes increased overall productivity.
Sources & evidence1
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