Manufacturers operate in environments where small deviations in equipment behavior, process conditions, or material flow can quickly escalate into downtime, quality issues, or missed delivery windows. Yet production telemetry often remains fragmented across PLCs, MES, historians, and operational systems, making it difficult to detect problems early or understand their broader impact.
To address this challenge, zeb developed an AI-driven Product Telemetry & Real-Time Alerting solution powered by the Databricks Data Intelligence Platform. The solution provides manufacturers with real-time operational awareness by unifying streaming telemetry, applying ML-driven anomaly detection, and delivering actionable insights across production, quality, and supply chain teams.
From raw telemetry to operational insight
The solution ingests high-frequency telemetry from production equipment, sensors, material handling systems, and operational sources in real time. Signals related to cycle time, vibration, temperature, torque, and material movement are standardized into a unified telemetry model stored in Delta Lake.
By combining live telemetry with production and quality context, teams gain continuous visibility into line performance, process stability, and operational health—without relying on manual correlation across siloed systems.
Detect issues early with ML-driven anomaly detection
Streaming and micro-batch pipelines continuously monitor telemetry to identify early deviations in equipment behavior and process conditions. Using MLflow, anomaly detection and predictive models score incoming signals to surface risks before they impact throughput, quality, or downstream supply chain execution.
Rather than reacting to failures after they occur, operations teams can intervene earlier, reducing unplanned disruptions and protecting production continuity.
Real-time dashboards and contextual alerting
Insights from telemetry and models are delivered through real-time dashboards and alerts designed for plant and operations teams. Alerts include contextual information such as affected assets, production lines, and process stages, enabling faster triage and prioritization.
Dashboards provide unified visibility into performance metrics, process stability, and operational health across plants, helping teams respond quickly and align actions across functions.
Built on a governed Databricks foundation
Our solution is built natively on the Databricks Lakehouse using Delta Lake for reliable storage and historical context, MLflow for model lifecycle management, and Unity Catalog for governance, lineage, and access control.
This architecture ensures that real-time insights remain auditable, traceable, and scalable across manufacturing environments supporting both day-to-day operations and compliance requirements.
What makes this approach effective
This Product Telemetry & Real-Time Alerting solution is designed specifically for manufacturing operations managing complex production lines and high-volume telemetry. Key strengths include:
- Sub-second ingestion of high-frequency production signals
- ML-driven detection of equipment, process, and material anomalies
- Unified visibility across operations, quality, and supply chain data
- Context-rich alerts that support faster operational response
- A governed, scalable foundation built entirely on Databricks
Start strengthening operational awareness
With real-time telemetry, anomaly detection, and actionable alerting, manufacturers can move from delayed issue detection to proactive operational control. If your organization is looking to improve visibility, reduce operational risk, and respond faster to production issues, zeb’s Databricks-based solution provides a strong foundation.
As a Databricks partner, we help manufacturing teams design and implement real-time telemetry platforms that align with production realities and scale across plants.
+1 732 737 9188
sales@zeb.co