[Case Study] How AI Vision Improved Efficiency for a Multinational Food Manufacturer
- Amin Ghasemazar
- Jun 30
- 3 min read
Updated: Jul 2
Summary of the Impact:[downtime reduction]
A multinational food manufacturer partnered with FabriSight to leverage computer vision AI, transforming operational efficiency and significantly increase product consistency :
Revealed 40% immediate room to improve OEE.
Up to 2x labor productivity using automated visual inspection.
Eliminated manual inspection bottlenecks, increasing operational throughput and speed by 5-10%.
Reduced production ramp-up time by 20 minutes, improving schedule adherence.
Achieved 1.36x improvement in peak downtime due to real-time visibility and alerts.
Who Is This Multinational Food Manufacturer?
This prominent international snack and packaged food producer, operating 7 factories and 10s of production lines with numerous SKUs across Asia, Canada, and the US, faced challenges around real-time monitoring, efficiency tracking, and labor-intensive defect detection.
Their manual approach to inspections presented significant opportunities to improve productivity and consistency.
Why FabriSight Was the Ideal Solution:
The manufacturer struggled with inaccurate assumptions around their actual productivity and efficiency. Manual inspections were inconsistent and labor-intensive. Equipments were old or lack the proper documentation or expertise in house for complicated integrations.
FabriSight’s adaptive vision AI provided clear, actionable insights and automation in days, not months. No complex integration were required as all the data is collected through lenses of the camera and is served on web applications, accessible to the management.
What Challenges Did the Manufacturer Face?
Misjudged OEE Impacting Decision-Making: Assumed production efficiency was significantly overstated, masking actual operational challenges and inefficiencies.
Labor-Intensive Quality Inspection: Manual visual inspections required significant labor hours and created bottlenecks, reducing overall line productivity.
Limited Real-Time Visibility: Lack of real-time data led to slow response times to production issues, longer downtimes, and inefficient resource allocation.
How InspectIQ AI Solved These Operational Challenges:
A. Uncovered True OEE:
InspectIQ's real-time AI analytics accurately tracked and reported the actual OEE at 47%, significantly below the assumed 65-70%, prompting targeted improvements.
Effective Production Speed Improvement:
Downtime Reduction:
B. Automated Visual Inspection:
InspectIQ's vision AI automated the detection of product defects and quality issues, freeing operators from manual inspections. This openes the room to effectively enabling one worker to manage two machines, or conduct other high impact tasks.
C. Real-Time Decision Support:
With a visual dashboard showing real-time data and insights, production leaders could make faster, more informed decisions, immediately addressing bottlenecks and improving line efficiency.
Tangible Results After FabriSight Implementation:
KPI | Result |
OEE Accuracy | Revealed 40% room for improvement |
Labor Efficiency | One operator per two machines |
Downtime and Speed | Uncovered 20% blind downtimes, 5% speed boost |
Operational Visibility | Production data, video, and alerts, in real-time |
Installation | Completed within a few hours |
System Up and Running | Within days, not months |
Why Does This Case Study Matter?
If your production relies on manual inspections or unclear efficiency metrics, hidden inefficiencies could silently erode your profitability. InspectIQ's vision AI:
Accurately measures and improves OEE
Automates costly manual inspections
Provides instant operational insights for downtime reduction
Delivers rapid installation without complex integrations
Ready to Enhance Your Manufacturing Efficiency?
FabriSight helped this multinational manufacturer rapidly improve operational clarity. Imagine the benefits for your operations.
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