Advancing Manufacturing Performance with AI for a Leading U.S. Bakery Equipment Manufacturer
The largest U.S. bakery equipment manufacturer lacked visibility into fabrication, assembly and testing, and analysed operations slowly. Aether unified manufacturing data with real-time dashboards, AI insights and proactive issue detection.
- Client
- Largest U.S. bakery equipment manufacturer
- Industry
- Food and bakery equipment
- Solution
- ITHENA Aether Analytics AI Platform
- Scope
- Manufacturing data layer, throughput intelligence, AI insights, issue detection
- Headline result
- 37% faster decisions
Three numbers the plant moved.
Results after Aether unified the client's manufacturing data.
Improvement in production efficiency
Throughput and flow insight improved production efficiency.
Reduction in operational bottlenecks
Proactive issue detection cleared bottlenecks sooner.
Faster decision-making
Automated insights put answers in front of managers.
Meet the organization and understand the context behind the transformation.
The largest U.S. bakery equipment manufacturer focused on enhancing its manufacturing processes through innovation and technology. Facing challenges related to fragmented manufacturing data, limited production visibility, and slow operational analysis, the company partnered with ITHENA to implement the Aether Analytics AI Platform. The result was unified data intelligence, real-time dashboards, AI-powered insights, conversational analytics, proactive recommendations, and Agentic AI actions that improved production efficiency and operational decision-making.
Aether has transformed how we access and interpret our manufacturing data. With real-time dashboards, AI-driven insights, and conversational analytics, our teams can quickly identify performance gaps and act on opportunities to improve efficiency across operations.
- Director of Manufacturing Operations
Build processes nobody could see into.
Performance across fabrication, assembly and testing was hard to see, and cycle times varied.
- Limited visibility into production performance across fabrication, assembly, and testing of equipment, impacting throughput and efficiency
- Inconsistent cycle times and output quality due to variability in processes like welding, assembly, and system integration
- Difficulty identifying inefficiencies in critical equipment builds, such as thermal systems, conveyor mechanisms, and control units
- Heavy reliance on manual data analysis to understand machine performance, production trends, and operational inefficiencies
- Delayed response to production issues, leading to rework, extended build cycles, and missed delivery timelines
How ITHENA closed the gaps.
ITHENA’s Analytics AI Platform, Aether, empowered the client with:
Contextualized Manufacturing Data Layer
Shifted focus from fragmented data to a unified view of production processes, enabling teams to monitor and optimize fabrication, assembly, and testing workflows in real time
Continuous Throughput & Flow Intelligence
Applied AI to analyze production patterns, identify sources of variability, and stabilize cycle times across different equipment builds
AI-Powered Performance Visibility
Delivered granular visibility into how key subsystems like heating elements, conveyors, and control panels perform during manufacturing, enabling targeted process improvements
Automated Insight Generation
Eliminated manual analysis by continuously scanning production data to surface inefficiencies, performance gaps, and improvement opportunities
Proactive Issue Detection & Resolution
Detected early signs of production slowdowns, quality deviations, and workflow disruptions, enabling faster corrective actions and smoother operations
Every build, every bottleneck, visible.
An illustrative Aether view: throughput rises as bottlenecks across fabrication, assembly and test are found and cleared.