# PlantSight: AI-Driven Operational Intelligence for Manufacturers
> Learn how PlantSight connects ERP, production, and quality data into real-time operational views to drive faster manufacturing decisions and OEE improvements.

Tags: manufacturing-analytics, operational-intelligence, oee, digital-transformation, smart-manufacturing, ai-in-manufacturing, industry-4-0, real-time-data
## PlantSight: Manufacturing Analytics for Real-Time Operational Decision Making
Connecting ERP, production, quality, maintenance, and supply chain data into one decision-ready operational view.

## The Evolution of Manufacturing
Moving from reporting to execution. PlantSight bridges the gap between dashboards and automated action signals by prioritizing what to fix first based on financial impact.

## The Core Problem: Data Silos
*   Disconnected systems (ERP, MES, CMMS, Excel).
*   Slow, manual reporting cycles based on stale data.
*   Operational blind spots like unexplained downtime and yield loss.

## PlantSight Intelligence Layer
*   **One Operational Truth:** Syncs all data sources without conflicting metrics.
*   **Prioritized Constraints:** Ranks issues by operational and financial cost.
*   **Execution Signals:** Provides actionable outputs rather than just alerts.

## Key Capability Domains
1.  **Operational Visibility:** OEE, throughput, and scrap tracking.
2.  **Production Intelligence:** Bottleneck detection and shift-over-shift comparison.
3.  **Maintenance & Reliability:** MTBF/MTTR trending and equipment criticality ranking.
4.  **Financial & Supply Chain:** Cost-per-unit by line and margin leakage detection.

## Industry Use Cases
*   **Food & Beverage:** SKU line utilization and yield variance.
*   **Automotive:** Multi-step line constraint analysis and Takt time tracking.
*   **Process Manufacturing:** Batch variability and utility consumption analysis.
*   **Supply Chain:** OTIF performance and inventory accuracy.

## Implementation & Results
*   **4-Week Deployment:** System connection (W1), KPI modeling (W2), Dashboard deployment (W3), Optimization (W4).
*   **Typical Outcomes:** 50–75% faster root-cause identification and 60–80% reduction in manual reporting effort.
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