Quick Takeaways
- Suzuki is embedding AI-driven work analysis to digitalize shopfloor operations and improve productivity and quality.
- The Ollo Factory rollout strengthens training, real-time monitoring, and defect prevention across manufacturing plants.
On December 22, Suzuki Motor Corporation announced a major step in deploying automotive manufacturing AI by officially introducing the work analysis software “Ollo Factory.” The rollout begins at the Sagara assembly plant in Shizuoka Prefecture in July 2025, followed by the engine plant in December 2025, reinforcing Suzuki’s commitment to data-driven production excellence.
The deployment forms a core pillar of the Suzuki Smart Factory initiative, where automotive manufacturing AI is used to digitalize shopfloor operations, enable real-time visibility, and strengthen training and quality control. By capturing and analyzing work processes, Suzuki aims to raise productivity while minimizing the risk of defective product outflow at domestic manufacturing sites.
Automotive Manufacturing AI Driving Smart Factory Transformation
“Ollo Factory” applies advanced video analysis to visualize work elements that were previously difficult to quantify. By turning routine production videos into structured data, the system supports faster improvement cycles, more consistent work standards, and stronger operational feedback across teams.
Key objectives of introducing automotive manufacturing AI include:
Smart Device–Based Video Analysis for Daily Operations
Work videos captured on smartphones or tablets can be uploaded directly for AI-driven segmentation and analysis. Individual tasks are automatically identified, enabling:
This lowers the barrier to using automotive manufacturing AI on the shopfloor without disrupting existing workflows.
High-Precision Insights Using Wearable Camera Footage
Wearable cameras help eliminate blind spots common in vehicle assembly lines. By comparing movements of skilled workers and newcomers, the AI highlights subtle differences and recurring stumbling points. These insights support:
Real-Time Anomaly Detection for Quality Standardization
“Ollo Factory” continuously monitors operations to detect omissions and errors, such as missed screw tightening, as they occur. Immediate alerts allow operators to respond on the spot, contributing to:
Based on results from domestic plants, Suzuki plans to sequentially deploy automotive manufacturing AI across all Japanese facilities and evaluate future expansion to overseas sites, reinforcing global manufacturing consistency through digital intelligence.
The deployment forms a core pillar of the Suzuki Smart Factory initiative, where automotive manufacturing AI is used to digitalize shopfloor operations, enable real-time visibility, and strengthen training and quality control. By capturing and analyzing work processes, Suzuki aims to raise productivity while minimizing the risk of defective product outflow at domestic manufacturing sites.
Automotive Manufacturing AI Driving Smart Factory Transformation
“Ollo Factory” applies advanced video analysis to visualize work elements that were previously difficult to quantify. By turning routine production videos into structured data, the system supports faster improvement cycles, more consistent work standards, and stronger operational feedback across teams.
Key objectives of introducing automotive manufacturing AI include:
- Improving work analysis accuracy across assembly and engine operations
- Enhancing worker training through objective motion comparisons
- Strengthening quality assurance through immediate issue detection
Smart Device–Based Video Analysis for Daily Operations
Work videos captured on smartphones or tablets can be uploaded directly for AI-driven segmentation and analysis. Individual tasks are automatically identified, enabling:
- Rapid creation of standardized work manuals
- Clear identification of waste and inefficiencies
- Data-backed decisions on optimal manpower allocation
This lowers the barrier to using automotive manufacturing AI on the shopfloor without disrupting existing workflows.
High-Precision Insights Using Wearable Camera Footage
Wearable cameras help eliminate blind spots common in vehicle assembly lines. By comparing movements of skilled workers and newcomers, the AI highlights subtle differences and recurring stumbling points. These insights support:
- Faster skill transfer during onboarding
- More targeted training programs
- Highly precise continuous improvement activities
Real-Time Anomaly Detection for Quality Standardization
“Ollo Factory” continuously monitors operations to detect omissions and errors, such as missed screw tightening, as they occur. Immediate alerts allow operators to respond on the spot, contributing to:
- Automated detection of defective products
- Prevention of defect outflow beyond the line
- Consistent quality standards across production locations
Based on results from domestic plants, Suzuki plans to sequentially deploy automotive manufacturing AI across all Japanese facilities and evaluate future expansion to overseas sites, reinforcing global manufacturing consistency through digital intelligence.
Company Press Release
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