Shipping Impact: Higher throughput, lower downtime, consistent quality — with a scalable automation blueprint
NeuSix partnered with an FMCG food manufacturing operation to modernize and automate critical production workflows using robotics, computer vision inspection, and digital twin simulation.
The program reduced manual handling bottlenecks, minimized downtime drivers, and improved quality consistency—while creating a scalable blueprint for expansion across lines and plants.
18+ FTE capacity saved through automation
75% reduction in downtime
Production throughput increased to 55–60 units/min
Inspection accuracy improved to 97%+ classification accuracy
They wanted a transformation that could be executed without compromising safety, uptime, or product integrity.
Production was impacted by a combination of manual processes and limited real-time intelligence.
NeuSix shipped an end-to-end industrial automation solution combining mechanical automation and AI intelligence.
A cockpit view provides real-time measurement of processing times, queue health, and corrective action effectiveness.
Stage 4:
Robotics reduced manual dependency, stabilized material movement, and improved line continuity.
Stage 1:
Computer vision enabled consistent inspection and faster detection of anomalies than manual checks.
Stage 2:
The digital twin allowed teams to test throughput and layout scenarios before live deployment.
Stage 3:
Operational telemetry provided transparency into drivers of downtime and quality loss, enabling continuous improvement.
Stage 4:
Industrial environments demand safety and stability:
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