About the Client
A leading manufacturing enterprise sought to optimize Overall Equipment Effectiveness (OEE) and reduce unplanned downtime across its production lines.
While TPM practices were established, downtime tracking and loss analysis were manual and reactive, limiting actionable insights.
The client partnered with TVS Next to implement a NexOps solution powered by Snowflake, combining AI-driven downtime analysis with a governed data cloud backend for operational intelligence.
The Challenge
- Unplanned machine downtime reduced OEE and disrupted production schedules.
- Operators manually recorded idle time and selected TPM standard loss codes, leading to inconsistent data capture.
- Lack of AI-driven analysis limited proactive interventions.
- Decisions to reduce downtime and improve OEE were reactive and lacked predictive guidance.
The Solution: NexOps AI & Snowflake-Powered Downtime Analysis
Downtime AI Agent via NexOps
TVS Next developed a Downtime AI Agent within the NexOps framework, using Snowflake as the backend for secure data capture, storage, and analytics.
Key Features
- Loss Booking Automation: Operator-provided idle times are captured with TPM standard loss codes via NexOps and stored in Snowflake, ensuring a governed, auditable record.
- Root Cause Analysis: NexOps analyzes downtime events stored in Snowflake to identify recurring failure patterns.
- Actionable Recommendations: The AI agent provides guidance to reduce downtime and optimize processes.
- Projected OEE Insights: Snowflake powers predictive models estimating potential OEE improvements if recommendations are implemented.
Snowflake Cortex & AI Integration
Cortex AI Agent
Continuously analyzes downtime and loss data from NexOps, identifying correlations between idle times, TPM codes, and operational impact.
Snowflake AI
Enables predictive modeling of downtime reduction, providing proactive maintenance and operational recommendations.
Unified Data Cloud
Snowflake consolidates operator inputs, downtime logs, machine telemetry, and recommendation outcomes, forming a single source of truth for manufacturing intelligence.
Solution Highlights
Automated Loss Capture
Operators log downtime with TPM standard loss codes through NexOps, which are ingested into Snowflake for centralized analysis.
AI-Driven Recommendations
The Downtime AI Agent uses Snowflake Cortex to generate actionable steps for reducing idle time and optimizing production sequences.
OEE Projection & Monitoring
Snowflake-powered predictive analytics estimate expected OEE improvements and track outcomes when recommendations are applied.
Root Cause Visibility
NexOps dashboards powered by Snowflake provide trends and insights into downtime events, TPM loss categories, and operational bottlenecks.
Powered by Snowflake
The solution fully leverages Snowflake’s AI Data Cloud, including:
- Snowflake Cortex for predictive downtime analysis and actionable recommendations.
- Snowflake AI for in-database modeling and OEE projection.
- Unified Data Architecture storing all operator inputs, loss codes, and machine data.
- Secure, Governed Access enabling auditability, real-time dashboards, and analytical collaboration.
Snowflake serves as the backend for NexOps, enabling automated ingestion, processing, and analytics while maintaining a single source of truth for downtime and OEE insights.
Key Highlights
- Automated downtime capture via NexOps with Snowflake backend.
- AI-generated recommendations to reduce idle time and operational bottlenecks.
- Projected OEE improvements to measure potential gains.
- Predictive and proactive analytics through Snowflake Cortex.
The Result
- Reduced unplanned downtime through AI-driven recommendations.
- Increased OEE across production lines using projected insights.
- Enhanced visibility into root causes and operational trends.
- Proactive decision-making replacing manual analysis and reactive measures.
Outcome
The manufacturing enterprise now operates a NexOps AI platform powered by Snowflake, transforming manual downtime tracking into automated, predictive, and actionable intelligence.
By integrating NexOps AI Agents with Snowflake Cortex and AI, the client can proactively reduce downtime, optimize OEE, and implement data-driven operational strategies—unlocking measurable productivity gains and long-term manufacturing excellence.
