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Manufacturers are rapidly embracing smart manufacturing solutions to overcome challenges like unplanned downtime, poor forecasting, and siloed data. NeenOpal, in collaboration with AWS industrial services, has developed an AI-powered Manufacturing Command Center (MCC) that integrates Amazon AI, Industrial IoT, and predictive analytics. Using tools like Amazon Q, our solution transforms raw manufacturing data into actionable intelligence, enabling faster decisions and improved operational efficiency.
Manufacturers today face critical roadblocks that hinder efficiency, increase costs, and delay decision-making. Before implementing the MCC, the client grappled with the following pressing challenges:
Frequent equipment failures led to significant revenue loss and production delays.
Data spread across MES, ERP, and legacy OT systems restricted real-time insights.
Reactive maintenance and manual troubleshooting caused operational inefficiencies.
Lack of AI-driven forecasting led to stockouts and excessive inventory costs.
No unified dashboard for monitoring KPIs or diagnosing performance bottlenecks.
NeenOpal built a scalable Manufacturing Command Center (MCC) powered by AWS cloud services and AI. Our solution combines IoT data ingestion, predictive maintenance models, and interactive analytics dashboards. It leverages Amazon Q for natural language querying, allowing operators to ask real-time questions and receive actionable answers without technical complexity.
We implemented ML-driven anomaly detection to identify potential failures before they happen, reducing downtime and maintenance costs by 30%.
AWS IoT Core, Timestream, and Managed Grafana enabled live machine monitoring, role-based dashboards, and automated anomaly alerts.
Operators can now query machine health, uptime, or top-performing assets in plain English for instant answers.
AWS services like Kinesis, Lambda, and S3 were integrated for seamless data ingestion, storage, and visualization across QuickSight and Grafana.
With over 85,000 hours of AWS expertise and 75+ successful deployments, NeenOpal is an AWS SI Rising Star recognized for Data & Analytics excellence. We combine AI/ML innovation with industrial domain knowledge to deliver tailored manufacturing solutions, achieving measurable results in weeks, not months.
By deploying the AI-powered Manufacturing Command Center, manufacturers achieved tangible improvements across operations, maintenance, and planning. The solution delivered measurable outcomes within weeks of implementation:
The NeenOpal MCC, powered by AWS, empowers manufacturers to move from reactive firefighting to proactive operations. With AI-driven insights, real-time monitoring, and seamless integration, businesses not only reduce costs but also boost OEE and achieve digital manufacturing maturity faster.
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